TY - JOUR A1 - Stocker, Armin A1 - Alshawish, Ali A1 - Bor, Martin A1 - Vidler, John A1 - Gouglidis, Antonios A1 - Scott, Andrew A1 - Marnerides, Angelos A1 - De Meer, Hermann A1 - Hutchison, David T1 - An ICT architecture for enabling ancillary services in Distributed Renewable Energy Sources based on the SGAM framework JF - Energy Informatics (2520-8942) N2 - Smart Grids are electrical grids that require a decentralised way of controlling electric power conditioning and thereby control the production and distribution of energy. Yet, the integration of Distributed Renewable Energy Sources (DRESs) in the Smart Grid introduces new challenges with regards to electrical grid balancing and storing of electrical energy, as well as additional monetary costs. Furthermore, the future smart grid also has to take over the provision of Ancillary Services (ASs). In this paper, a distributed ICT infrastructure to solve such challenges, specifically related to ASs in future Smart Grids, is described. The proposed infrastructure is developed on the basis of the Smart Grid Architecture Model (SGAM) framework, which is defined by the European Commission in Smart Grid Mandate M/490. A testbed that provides a flexible, secure, and low-cost version of this architecture, illustrating the separation of systems and responsibilities, and supporting both emulated DRESs and real hardware has been developed. The resulting system supports the integration of a variety of DRESs with a secure two-way communication channel between the monitoring and controlling components. It assists in the analysis of various inter-operabilities and in the verification of eventual system designs. To validate the system design, the mapping of the proposed architecture to the testbed is presented. Further work will help improve the architecture in two directions; first, by investigating specific-purpose use cases, instantiated using this more generic framework; and second, by investigating the effects a realistic number and variety of connected devices within different grid configurations has on the testbed infrastructure. KW - Ancillary services KW - SGAM KW - DRES KW - Smart Grid KW - Engineering KW - Information and Computing Sciences Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2022071721175548518669 SN - 2520-8942 VL - 2022 IS - 5 PB - Springer International Publishing CY - Berlin ER - TY - JOUR A1 - Daschner, Stefan A1 - Obermaier, Robert T1 - Algorithm aversion? On the influence of advice accuracy on trust in algorithmic advice JF - Journal of Decision Systems N2 - There is empirical evidence that decision makers show negative behaviours towards algorithmic advice compared to human advice, termed as algorithm aversion. Taking a trust theoretical perspective, this study broadens the quite monolithic view on behaviour to its cognitive antecedent: cognitive trust, i.e. trusting beliefs and trusting intentions. We examine initial trust (cognitive trust and behaviour) as well as its development after performance feedback by conducting an online experiment that asked participants to forecast the expected demand for a product. Advice accuracy was manipulated by ± 5 % relative to the participant’s initial forecasting accuracy determined in a pre-test. Results show that initial behaviour towards algorithmic advice is not influenced by cognitive trust. Furthermore, the decision maker’s initial forecasting accuracy indicates a threshold between near-perfect and bad advice. When advice accuracy is at this threshold, we observe behavioural algorithm appreciation, particularly due to higher trusting integrity beliefs in algorithmic advice. KW - Algorithm appreciation KW - cognitive trust KW - initial trust KW - Perfect Automation Scheme KW - trusting beliefs KW - Advice Accuracy KW - Forecasting Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-19120 VL - 31 (2022) IS - S1 SP - 77 EP - 97 PB - Taylor & Francis CY - London ER - TY - JOUR A1 - Töpfl, Florian A1 - Kravets, Daria A1 - Ryzhova, Anna A1 - Beseler, Arista T1 - Who are the plotters behind the pandemic? BT - Comparing Covid-19 conspiracy theories in Google search results across five key target countries of Russia’s foreign communication JF - Information, Communication & Society N2 - This article advances extant research that has audited search algorithms for misinformation in four respects. Firstly, this is the first misinformation audit not to implement a national but a cross-national research design. Secondly, it retrieves results not in response to the most popular query terms. Instead, it theorizes two semantic dimensions of search terms and illustrates how they impact the number of misinformative results returned. Furthermore, the analysis not only captures the mere presence of misinformative content but in addition whether the source websites are affiliated with a key misinformation actor (Russia’s ruling elites) and whom the conspiracy narratives cast as the malicious plotters. Empirically, the audit compares Covid-19 conspiracy theories in Google search results across 5 key target countries of Russia’s foreign communication (Belarus, Estonia, Germany, Ukraine, and the US) and Russia as of November 2020 (N = 5280 search results). It finds that, across all countries, primarily content published by mass media organizations rendered conspiracy theories visible in search results. Conspiratorial content published on websites affiliated with Russia’s ruling elites was retrieved in the Belarusian, German and Russian contexts. Across all countries, the majority of conspiracy narratives suspected plotters from China. Malicious actors from the US were insinuated exclusively by sources affiliated with Russia’s elites. Overall, conspiracy narratives did not primarily deepen divides within but between national communities, since – across all countries – only plotters from beyond the national borders were blamed. To conclude, the article discusses methodological advice and promising paths of research for future cross-national search engine audits. KW - Search engines KW - algorithms KW - misinformation KW - disinformation KW - conspiracy theories KW - Russia Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-19119 VL - 26 (2023) IS - 10 SP - 2033 EP - 2051 PB - Taylor & Francis CY - London ER - TY - JOUR A1 - von Ditfurth, Lukas A1 - Lienemann, Gregor T1 - The Data Governance Act: – Promoting or Restricting Data Intermediaries? JF - Competition and Regulation in Network Industries N2 - Following its approval by the European Parliament in April 2022, the Data Governance Act (DGA) is the first legislative instrument announced in the European Data Strategy to come into force. Aimed at facilitating the re-use and sharing of data in and between the private and public sectors, the DGA introduces regulation for a newly emerging type of digital platforms – the so-called “providers of data intermediation services”. In order to offer their services on the market, providers will have to submit to a prior notification procedure and show compliance with several conditions placed on their economic activities. The regulation of data intermediaries is intended to increase their trustworthiness and ensure the competitiveness of the markets in which they operate. Recent experiences with digital platforms have shown the potential of intermediaries to organise and facilitate markets. At the same time, digital platforms pose undeniable risks to their users and markets at large. Against this backdrop, the role of data intermediaries as envisioned by the DGA must be examined carefully before turning to the question whether the DGA can achieve competitive and trustworthy data sharing through registered third parties. This paper intends to shed light on these and other issues by examining, in-depth, the chapter in the DGA dedicated to data intermediaries (Art. 10–15) from a legal, policy and competition economics perspective. In particular, this paper explores how the experiences made with large-scale digital platforms have shaped the DGA. Thereby, this paper aims to contribute towards a holistic understanding of these provisions as a basis for an informed discussion on the legal framework and on possible alternatives. KW - Data Governance Act KW - Data Intermediaries KW - Data Law Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-11483 SN - 1783-5917 SN - 2399-2956 VL - 23 IS - 4 SP - 270 EP - 295 PB - SAGE Publications CY - London ER - TY - JOUR A1 - Caspari-Sadeghi, Sima T1 - Artificial Intelligence in Technology-Enhanced Assessment: A Survey of Machine Learning JF - Journal of Educational Technology Systems N2 - Intelligent assessment, the core of any AI-based educational technology, is defined as embedded, stealth and ubiquitous assessment which uses intelligent techniques to diagnose the current cognitive level, monitor dynamic progress, predict success and update students’ profiling continuously. It also uses various technologies, such as learning analytics, educational data mining, intelligent sensors, wearables and machine learning. This can be the key to Precision Education (PE): adaptive, tailored, individualized instruction and learning. This paper explores (a) the applications of Machine Learning (ML) in intelligent assessment, and (b) the use of deep learning models in ‘knowledge tracing and student modeling’. The paper concludes by discussing barriers involved in using state-of-the-art ML methods and some suggestions to unleash the power of data and ML to improve educational decision-making. KW - artificial intelligence KW - knowledge tracing KW - machine learning KW - technology-enhanced assessment (TEA) Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-11818 SN - 0047-2395 SN - 1541-3810 VL - 51 IS - 3 SP - 372 EP - 386 PB - SAGE Publications CY - Sage CA: Los Angeles, CA ER - TY - JOUR A1 - Ryzhova, Anna T1 - Motivated by political beliefs, not only by language: How Russian speakers in Germany compose their transnational news repertoires JF - Journalism N2 - Extant research in media and migration has been largely apolitical, focusing on how migrants use media to culturally connect with their homeland and keep their family ties. However, in times of increasing international conflicts and polarisation, such as the years leading up to the Russia’s war against Ukraine in 2022, migrant audiences find themselves in a situation when the coverage of national and international politics in the homeland and host country media can differ dramatically. Against this backdrop, this study investigated how Russian speakers living in Germany create and navigate their transnational news repertoires. Grounded in 42 semi-structured interviews with the Russian speakers of the 1 and 1.5 generations in Germany, conducted between May and October 2021, this article identifies three types of transnational news repertoires: (1) politically-motivated news repertoire, (2) truth seeking-motivated news repertoire and (3) situation-motivated news repertoire. The results show that all the news repertoires of all participants are transnational. I argue that in the context of international conflict, not only language but also the participants’ political beliefs play an essential role in their news choice. Future research on migrants in political communication should distinguish research not only along with the language of the media outlets but also along with the political ideologies that they project. KW - Transnational KW - politics KW - Russian KW - Germany Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15485 VL - 25 IS - 1 SP - 218 EP - 237 PB - Sage CY - Thousand Oaks ER - TY - JOUR A1 - Donner, Eva Katharina T1 - Research data management systems and the organization of universities and research institutes: A systematic literature review JF - Journal of Librarianship and Information Science N2 - New technological developments, the availability of big data, and the creation of research platforms open a variety of opportunities to generate, store, and analyze research data. To ensure the sustainable handling of research data, the European Commission as well as scientific commissions have recently highlighted the importance of implementing a research data management system (RDMS) in higher education institutes (HEI) which combines technical as well as organizational solutions. A deep understanding of the requirements of research data management (RDM), as well as an overview of the different stakeholders, is a key prerequisite for the implementation of an RDMS. Based on a scientific literature review, the aim of this study is to answer the following research questions: “What organizational factors need to be considered when implementing an RDMS? How do these organizational factors interact with each other and how do they constrain or facilitate the implementation of an RDMS?” The structure of the analysis is built on the four components of Leavitt’s classical model of organizational change: task, structure, technology, and people. The findings reveal that the implementation of RDMS is strongly impacted by the organizational structure, infrastructure, labor culture as well as strategic considerations. Overall, this literature review summarizes different approaches for the implementation of an RDMS. It also identifies areas for future research. KW - Data handling KW - information infrastructure KW - organization KW - organizational change KW - research data management KW - research data management system Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-12654 SN - 0961-0006 SN - 1741-6477 VL - 55 IS - 2 SP - 261 EP - 281 PB - SAGE Publications CY - Sage UK: London, England ER - TY - JOUR A1 - Grimm, Michael A1 - Luck, Nathalie A1 - Steinhübel, Franziska T1 - Consumers' willingness to pay for organic rice: Insights from a non‐hypothetical experiment in Indonesia JF - Australian Journal of Agricultural and Resource Economics N2 - As in many high‐income countries, there is increasing awareness towards organic farming in many low‐ and middle‐income countries. Sustained local demand is an essential requirement for further adoption of organic farming by smallholders, who typically have only limited access to export markets. Until now, only few studies have explored the local willingness to pay (WTP) for organic products in low‐ and middle‐income countries in real purchase situations. This paper analyses the consumers' WTP for organic rice in urban and suburban Indonesia using an incentive‐compatible auction based on the Becker–DeGroot–Marschak (BDM) approach. We further study the effect of income and a randomised information treatment about the benefits of organic food on respondents' WTP. Estimates suggest that respondents are willing to pay an average price premium of 20% compared with what they paid for conventional rice outside our experiment. However, our results also indicate that raising consumers' WTP further is complex. Showing participants a video about health or, alternatively, environmental benefits of organic food was not effective in further raising WTP. The results can be used as a basis for the design of alternative awareness measures to increase knowledge, interest and demand for organic food. KW - BDM KW - Indonesia KW - organic food KW - rice KW - willingness to pay Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-12412 VL - 67 IS - 1 SP - 83 EP - 103 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Fritz, Manuela T1 - Temperature and non‐communicable diseases: Evidence from Indonesia's primary health care system JF - Health Economics N2 - Climate change induced rising temperatures will pose a detrimental threat to decent health in the coming decades. Especially at risk are individuals with chronic diseases, since heat can exacerbate a variety of health conditions. In this article, I examine the heat‐morbidity relationship in the context of Indonesia, focusing on chronic, non‐communicable diseases, namely diabetes, cardiovascular and respiratory diseases. Using a novel dataset from the Indonesian national health insurance scheme Jaminan Kesehatan Nasional/Badan Penyelenggara Jaminan Sosial (BPJS) and linking it with meteorological data on the daily‐district level, I estimate the causal effect of high temperatures on the daily number of primary health care visits. The results show that on a hot day all‐cause visits and visits with a diagnosis of diabetes and cardiovascular diseases increase by 8%, 25% and 14%, respectively. These increases are permanent and not offset by visit displacement or ‘harvesting’. Visits related to respiratory diseases seem not to be affected by high temperatures. I use several climate change scenarios to predict the increase in visits and costs by the end of the century, which all forecast a substantial financial burden for the health care system. These results might have relevance for other middle‐income countries with similar climatic conditions. KW - climate change KW - health KW - Indonesia KW - JKN/BPJS kesehatan KW - non‐communicable diseases KW - temperature Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-11429 VL - 31 IS - 11 SP - 2445 EP - 2464 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Komander, Verena A1 - König, Andreas T1 - Organizations on stage: organizational research and the performing arts JF - Management Review Quarterly N2 - Management and organization scholars have long been intrigued by the performing arts—music, theater, and dance—as a rich context for studying organizational phenomena. Indeed, a plethora of studies suggest that the performing arts are more than an interesting sideline for authors, as they offer unique theoretical and empirical lenses for organization studies. However, this stream of literature spreads across multiple research areas, varies with regard to its underlying theories and methods, and fails to pay sufficient attention to the contextuality of the findings. We address the resulting limitations by identifying and reviewing 89 articles on management and organization related to the performing arts published in 15 top-tier journals between 1976 and 2022. We find that research in the performing arts advances organizational theory and the understanding of organizational phenomena in four key ways, namely by studying (1) organizational phenomena in performing-arts contexts; (2) performing-arts phenomena in organizational contexts; (3) organizational phenomena through the prism of performing-arts theories; and (4) organizational phenomena through the prism of performing-arts practices. We also find that, in contrast to other settings, the performing arts are uniquely suited for immersive participant-observer research and for generating genuine insights into fundamental organizational structures and processes that are generic conditions of the performing arts and management alike, such as leadership, innovation, and the management of uncertainty. Finally, based on our consolidation of the research gaps and limitations of the reviewed studies, we develop a comprehensive agenda for future research. KW - Performing arts KW - Music KW - Dance KW - Jazz KW - Theatre KW - Organization KW - Management KW - Leadership Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2023010321004612876788 VL - 2024 IS - 74 SP - 303 EP - 352 PB - Springer Nature CY - Berlin ER - TY - JOUR A1 - Fritz, Manuela T1 - Wave after wave: determining the temporal lag in Covid-19 infections and deaths using spatial panel data from Germany JF - Journal of Spatial Econometrics N2 - The Covid-19 pandemic requires a continuous evaluation of whether current policies and measures taken are sufficient to protect vulnerable populations. One quantitative indicator of policy effectiveness and pandemic severity is the case fatality ratio, which relies on the lagged number of infections relative to current deaths. The appropriate length of the time lag to be used, however, is heavily debated. In this article, I contribute to this debate by determining the temporal lag between the number of infections and deaths using daily panel data from Germany’s 16 federal states. To account for the dynamic spatial spread of the virus, I rely on different spatial econometric models that allow not only to consider the infections in a given state but also spill over effects through infections in neighboring federal states. My results suggest that a wave of infections within a given state is followed by increasing death rates 12 days later. Yet, if the number of infections in other states rises, the number of death cases within that given state subsequently decreases. The results of this article contribute to the better understanding of the dynamic spatio-temporal spread of the virus in Germany, which is indispensable for the design of effective policy responses. KW - Covid-19 KW - Spatio-temporal models KW - Time lag effects KW - Spatial spillovers KW - Spatial Durbin model KW - Germany Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2022112821095396799160 VL - 2022 IS - 3 PB - Springer Nature CY - Berlin ER - TY - JOUR A1 - Schweikl, Stefan A1 - Obermaier, Robert T1 - Lost in translation: IT business value research and resource complementarity : an integrative framework, shortcomings and future research directions JF - Management Review Quarterly N2 - Despite longstanding research efforts, there is still ambiguity surrounding the business value created by IT. To approach this conundrum, research focus has progressed from an isolated investigation of IT to the assessment of complementarity between IT and different non-IT resources such as work practices or decision structures. However, incoherence around the characteristics and scope of these complementary non-IT resources has created a fragmented body of research, preventing a sustainable knowledge creation. Thus, in this paper we synthesize the dispersed research efforts, identify shortcomings in the extant literature, and derive opportunities for future research. Specifically, we present a converging definition of complementary non-IT resources and specify their role in the value creation process from IT by viewing it through three distinct lenses: microeconomic theory, resource-based view, and contingency theory. We structure current research efforts by organizing complementary non-IT resources into distinct categories, namely strategy, structure, practices, processes, and culture (organizational resources), top management support, internal relations, and external relations (relational resources), worker skill (non-IT human resources), non-IT physical resources, as well as internal funds and external funds (financial resources). Finally, we highlight five important shortcomings in the current literature, such as the predominant use of reductionist approaches or monolithic IT measures, and make actionable recommendations to resolve them. KW - Literature review KW - Classification KW - IT value KW - Complementarity KW - Resource system KW - Configurations Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2022093021520340946532 VL - 2022 IS - 73 SP - 1713 EP - 1749 PB - Springer Nature CY - Berlin ER - TY - JOUR A1 - Frühwirth, Lorenz A1 - Juhos, Michael A1 - Prochno, Joscha T1 - The large deviation behavior of lacunary sums JF - Monatshefte für Mathematik N2 - We study the large deviation behavior of lacunary sums (Sn /n)n∈N with Sn :=∑[k=1...n] f (a(k)U), n ∈ |N, where U is uniformly distributed on [0, 1], (a(k))k∈|N is an Hadamard gap sequence, and f : |R → |R is a 1-periodic, (Lipschitz-)continuous mapping. In the case of large gaps, we show that the normalized partial sums satisfy a large deviation principle at speed n and with a good rate function which is the same as in the case of independent and identically distributed random variables U(k), k ∈ |N, having uniform distribution on [0, 1]. When the lacunary sequence (a(k))k∈|N is a geometric progression, then we also obtain large deviation principles at speed n, but with a good rate function that is different from the independent case, its form depending in a subtle way on the interplay between the function f and the arithmetic properties of the gap sequence. Our work generalizes some results recently obtained by Aistleitner, Gantert, Kabluchko, Prochno, and Ramanan [Large deviation principles for lacunary sums, preprint, 2020] who initiated this line of research for the case of lacunary trigonometric sums. KW - Hadamard gap sequence KW - Large deviation principle KW - Large gap condition KW - Geometric progression Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2022081723261050522140 VL - 2022 IS - 199 SP - 113 EP - 133 PB - Springer Nature CY - Berlin ER - TY - JOUR A1 - Nahr, Nora A1 - Heikkilä, Marikka T1 - Uncovering the identity of Electronic Markets research through text mining techniques JF - Electronic Markets N2 - As an established academic journal in the e-commerce and digital platforms fields, Electronic Markets (EM) features a diverse range of topics and occupies a significant role in the information systems field. The study investigates EM’s topic diversity over the time period 2009–2020 using a text mining analysis and a bibliometric analysis and identifies 28 cluster groups.The analysis reveals that the top three topics are 1) service quality, 2) blockchain and other shared trust building solutions,their impact and credibility, as well as 3) consumer buying behavior and interactions. EM's core identity lies in a balanced set of core themes that bring technological, business or human/ social perspectives to the research of networked business and digital economy. This includes research on digital and smart services, applications, consumer behavior and business models,as well as technology and e-commerce data. Ethical and sustainability related topics are however still less present in EM. KW - Core identity KW - Text mining analysis KW - Cluster analysis KW - Unsupervised machine learning KW - Bibliometric analysis Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2022083023490559933318 VL - 2022 IS - 32 SP - 1257 EP - 1277 PB - Springer Nature CY - Berlin ER - TY - JOUR A1 - Adam, Marc T. P. A1 - Krämer, Jan T1 - Evaluating the emotional bidding framework: new evidence from a decade of neurophysiology JF - Electronic Markets N2 - Ten years ago the “emotional bidding framework” (Adam et al., Electronic Markets, 21(3), 197–207, 2011b) was published in this journal. It provided a conceptualization for the role of human emotion in electronic auctions along six propositions on how emotions emerge during the auction process and affect auction outcomes. While the framework emphasized the importance of immediate emotional responses and momentary changes in the bidders’ emotional state, the original articledid not include an evaluation of its propositions given the limited data on how bidders experience emotions in the moment that they occur. Ten years on, advances in the growing research field of NeuroIS allow to evaluate the propositions based on neurophysiological evidence. As a rejoinder of the original article, the present paper synthesizes these insights, refines the framework further, and identifies fruitful areas for future research based on remaining gaps in the body of knowledge. KW - Auctions KW - Auction Fever KW - NeuroIS Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2022080421114680906980 VL - 2022 IS - 32 SP - 1529 EP - 1540 PB - Springer Nature CY - Berlin ER - TY - JOUR A1 - Beierl, Stefan A1 - Dodlova, Marina T1 - Public Works Programmes and Cooperation for the Common Good: Evidence from Malawi JF - The European Journal of Development Research N2 - This paper investigates the relationship between Malawi’s largest and oldest publicworks programme (PWP) and social cohesion, specifically within-community coop-eration for the common good. Using both primary and secondary data, we show thatpublic works are associated with higher coordination activities and higher voluntary(unpaid) contributions to public goods, along both vertical ties (between communitymembers and local leaders) and horizontal ties (among community members). Espe-cially for school-building activities, voluntary inputs in the form of labour and otherin-kind contributions are higher in the presence of the PWP. Our results contrib-ute to a better understanding of the link between social protection programmes withcommunity-driven features and social cohesion. KW - Public works KW - Cash-for-work KW - Social protection KW - Cooperation for the common good KW - Coordination KW - Community meeting KW - Voluntary contributions Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2022080712061894426936 VL - 2022 IS - 34 SP - 1264 EP - 1284 PB - Springer Nature CY - Berlin ER - TY - JOUR A1 - Knott, Manuel A1 - Strich, Franz A1 - Strunk, Kim Simon A1 - Mayer, Anne-Sophie T1 - Uncovering potential barriers of using initial coin offerings to finance artistic projects JF - Journal of Cultural Economics N2 - Artists make vital contributions to our society and lay the foundations for billion-dollar industries. However, these artists consistently struggle to acquire sufficientfunding for their projects and their livelihood. New technology-supported possibili-ties for funding artists and their projects have emerged in recent years. Initial CoinOffering (ICO) is a novel form of reward-based tokenized crowdfunding. AlthoughICOs are promising as a way to fund artistic projects, they lack widespread adoptionin the creative and cultural industry (CCI). Based on 35 qualitative in-depth inter-views, we identify four barriers that hinder the funding of artistic projects throughICOs: legal shortcomings, investment restrictions, lack of consumer interest, andintermediaries’ resistance. Our research contributes to cultural finance and fundingliterature by disclosing barriers that impede a promising form of financing artisticprojects. Further, we outline possible solutions to overcome them. We also con-tribute to the research about ICOs by showing that rather than reducing investmentrisks, these offerings merely shift them. KW - initial coin offerings KW - blockchain technology KW - cultural finance KW - artists KW - creative and cultural industries KW - barriers Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2022081518483651137386 VL - 2022 IS - 46 SP - 317 EP - 344 PB - Springer Nature CY - Berlin ER - TY - JOUR A1 - Ghosh Dastidar, Kanishka A1 - Jurgovsky, Johannes A1 - Siblini, Wissam A1 - Granitzer, Michael T1 - NAG: neural feature aggregation framework for credit card fraud detection JF - Knowledge and Information Systems N2 - The state-of-the-art feature-engineering method for fraud classification of electronic pay-ments uses manually engineered feature aggregates, i.e., descriptive statistics of thetransaction history. However, this approach has limitations, primarily that of being dependenton expensive human expert knowledge. There have been attempts to replace manual aggre-gation through automatic feature extraction approaches. They, however, do not consider thespecific structure of the manual aggregates. In this paper, we define the novel Neural Aggre-gate Generator (NAG), a neural network-based feature extraction module that learns featureaggregates end-to-end on the fraud classification task. In contrast to other automatic featureextraction approaches, the network architecture of the NAG closely mimics the structureof feature aggregates. Furthermore, the NAG extends learnable aggregates over traditionalones through soft feature value matching and relative weighting of the importance of differ-ent feature constraints. We provide a proof to show the modeling capabilities of the NAG.We compare the performance of the NAG to the state-of-the-art approaches on a real-worlddataset with millions of transactions. More precisely, we show that features generated with theNAG lead to improved results over manual aggregates for fraud classification, thus demon-strating its viability to replace them. Moreover, we compare the NAG to other end-to-endapproaches such as the LSTM or a generic CNN. Here we also observe improved results. Weperform a robust evaluation of the NAG through a parameter budget study, an analysis of theimpact of different sequence lengths and also the predictions across days. Unlike the LSTMor the CNN, our approach also provides further interpretability through the inspection of itsparameters. KW - finance KW - credit card fraud KW - representation learning Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2022060219175235764329 VL - 2022 IS - 64 SP - 831 EP - 858 PB - Springer Nature CY - Berlin ER - TY - JOUR A1 - Qiu, Ruyi A1 - Möller, Malte A1 - Koch, Iring A1 - Mayr, Susanne T1 - Saliency determines the integration of contextual information into stimulus–response episodes JF - Attention, Perception, & Psychophysics N2 - When humans perform a task, it has been shown that elements of this task, like stimulus (e.g., target and distractor)and response, are bound together into a common episodic representation called stimulus–response episode (or event file).Recently, the context, a completely task-irrelevant stimulus, was found to be integrated into an episode as well. However,instead of being bound directly with the response in a binary fashion, the context modulates the binary binding between thedistractor and response. This finding raises the questions of whether the context can also enter into a binary binding with theresponse, and if so, what determines the way of its integration. In order to resolve these questions, saliency of the contextwas manipulated in three experiments by changing the loudness (Experiment 1) and emotional valence (Experiment 2Aand 2B) of the context. All experiments implemented the four-alternative auditory negative priming paradigm introducedby Mayr and Buchner (2006, Journal of Experimental Psychology: Human Perception and Performance, 32[4], 932–943).Results showed that the integration of context changed as a function of its saliency level. Specifically, the context of lowsaliency was not bound at all, the context of moderate saliency modulated the binary binding between the distractor andresponse, whereas the context of high saliency entered into a binary binding with the response. The current results extend aprevious finding by Hommel (2004, Trends in Cognitive Sciences, 8[11], 494–500) that there is a saliency threshold whichdetermines whether a stimulus is bound or not, by suggesting that a second threshold determines the specific structure (i.e.,binary vs. configural) of the resulting binding. KW - context KW - saliency KW - stimulus–response episode KW - binding Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2023072001343346194537 VL - 2022 IS - 84 SP - 1264 EP - 1285 PB - Springer Nature CY - Berlin ER - TY - THES A1 - Le, Mirjam T1 - The Peri-urban City: Cargo Cult Urbanism, Porosity and an Emerging Urban Citizenship in Vietnamese Secondary Cities N2 - The impact of urban development on local residents in the urban periphery oscillates between processes of empowerment and processes of marginalization as well as between state-controlled order and decentralized self-organization. Consequently local authorities, including urban planners and local residents need to negotiate their respective roles in the production and usage of urban space defined by transition, transformation and ambiguity. Therefore, this work examines the underlying patterns, interactions and structures which define the negotiation of state-society relations in the framework of a porous peri-urban landscape in Vietnam’s secondary cities. In Chapter 1, peri-urban areas are defined as space of transformation where pattern of rural land use are intertwined with pattern of urban land use to create an urban-rural interface with blurred boundaries. The main characteristic of the spatial pattern in Tam Kỳ and Buôn Ma Thuột is rooted urban porosity leading to the spatial intertwining of rural, peri-urban and urban spaces. The emerging urban landscape can be defined as peri-urban city. Three main themes define this peri-urban city beyond porosity: (1) processes of transformation creating the peri-urban city, (2) networks of power and control as means to adapt to these transformations and (3) mobility as prerequisite for ability to benefit from the changing landscape in peri-urban cities. Chapter 2 describes how state authorities, urban planners and private investors at the local level in Tam Kỳ and Buôn Ma Thuột use porous space to reproduce the city based on their aspirations. This leads to a cargo cult urbanism, where urban planning is rooted in future aspirations for the city. Plans and construction efforts reference the image of a modern urban future and produce the image of a city, which does not exists in the real urban space of Tam Kỳ and Buôn Ma Thuột. In the meantime, practices based in peri-urban space are often contradictory to the official aspirations of local state authorities Chapter 3 explores this emerging divergence between the aspired urban space by the state and the reality of urban space rooted in material and social porosity. Traditional, newly accessible and environmental porosity provide an array of accessible space which transforms the peri-urban city into a social arena of encounters and interaction. Consequently, porosity enables local residents to maintain urban space as commons. This counters the push towards the privatization of urban space by state and private actors and creates multiple aspirations for the urban future. Rooted in urban space as commons, porosity enables the usage of peri-urban space as spaces of resistance as discussed in Chapter 4. Mobility and interaction are means of reproduction in the porous ambiguity of urban materiality but also become means of everyday resistance. The emerging spatialities of emancipation provide opportunities for an emerging urban citizenship. Urban materiality and urban citizenship have a mutually constitutive relationship. KW - peri-urbanization KW - Vietnam KW - urban citizenship KW - urban porosity KW - cargo-cult urbanism Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-14097 ER - TY - JOUR A1 - Caspari-Sadeghi, Sima T1 - Learning assessment in the age of big data: Learning analytics in higher education JF - Cogent Education N2 - Data-driven decision-making and data-intensive research are becoming prevalent in many sectors of modern society, i.e. healthcare, politics, business, and entertainment. During the COVID-19 pandemic, huge amounts of educational data and new types of evidence were generated through various online platforms, digital tools, and communication applications. Meanwhile, it is acknowledged that educa-tion lacks computational infrastructure and human capacity to fully exploit the potential of big data. This paper explores the use of Learning Analytics (LA) in higher education for measurement purposes. Four main LA functions in the assessment are outlined: (a) monitoring and analysis, (b) automated feedback, (c) prediction, prevention, and intervention, and (d) new forms of assessment. The paper con-cludes by discussing the challenges of adopting and upscaling LA as well as the implications for instructors in higher education. KW - Big data KW - learning analytics KW - technology-enhanced assessment Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-12236 VL - 2023 IS - Volume 110, issue 1 PB - Taylor & Francis ER - TY - JOUR A1 - Becher, Stefan A1 - Gerl, Armin ED - Sarne, Giuseppe Maria Luigi ED - Ma, Jianhua ED - Rosaci, Domenico ED - Srivastava, Gautam T1 - ConTra Preference Language: Privacy Preference Unification via Privacy Interfaces JF - Sensors N2 - After the enactment of the GDPR in 2018, many companies were forced to rethink their privacy management in order to comply with the new legal framework. These changes mostly affect the Controller to achieve GDPR-compliant privacy policies and management.However, measures to give users a better understanding of privacy, which is essential to generate legitimate interest in the Controller, are often skipped. We recommend addressing this issue by the usage of privacy preference languages, whereas users define rules regarding their preferences for privacy handling. In the literature, preference languages only work with their corresponding privacy language, which limits their applicability. In this paper, we propose the ConTra preference language, which we envision to support users during privacy policy negotiation while meeting current technical and legal requirements. Therefore, ConTra preferences are defined showing its expressiveness, extensibility, and applicability in resource-limited IoT scenarios. In addition, we introduce a generic approach which provides privacy language compatibility for unified preference matching. KW - privacy KW - preference language KW - legal factors KW - GDPR KW - usability Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-11218 SN - 1424-8220 VL - 22 IS - 14 PB - MDPI CY - Basel, Switzerland ER - TY - THES A1 - Maimunah, Siti T1 - Reclaiming "Tubuh-Tanah Air": A Life Project on Doing Feminist Political Ecology at the Capitalist Frontier N2 - My study examines how the configuration of the capitalist frontier through extractivism shapes ethnicity, gender, and intersectionality in the areas surrounding a nickel mine in Sorowako (East Luwu District, South Sulawesi), logging and coal mining along the Lalang River (Murung Raya District, Central Kalimantan) Indonesia. The colonial frontier intersects with the capitalist frontier and provides the circumstances for its formation. The colonial restrictions, religions, commodities, the imposition of labor discipline, and political changes have molded ethnic identities and relationships with nature. Furthermore, using autoethnography and Feminist Political Ecology, I combine my experiences as a woman academic-activist with the experiences of the people in my research area. I identify how communities and individuals interact with the multiple-frontier in everyday life by defining the configuration of the frontier from above and below. Thus, my dissertation contributes to understanding how I, the community, and the capitalist frontier landscape are contained and can potentially transform into multidimensional resistance. I develop a link between the body as the interior frontier and the extractive landscape to be transformed into a perspective of “Tubuh-tanah air” as a future arena of engagement and resistance to extractivism. KW - Extractivism KW - Capitalist frontier KW - Feminist Political Ecology KW - Resistance KW - Tubuh-tanah air Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-11656 ER - TY - THES A1 - Resch, René Matthias T1 - Three Essays on Brand Management in the Business-to-Business Context: Brand Identity, Brand Culture, and Brand Essence N2 - This dissertation examines the overarching research question of how the suppliers’ brand management in the form of brand identity, brand culture, and brand essence influences buyer-seller relationships in three independent essays. In Essay 1, I address the structure, capabilities, and outcomes of brand identity from a supplier perspective. Through qualitative interviews with suppliers, I examine how widespread the concept of brand identity is in practice and what exactly practitioners understand by it. Going further, I look at what capabilities and conditions are necessary for brand identity to be successful and what outcomes suppliers hope to achieve. Using an Information-Display-Matrix (IDM) test and a sample of Master of Business Administration (MBA) students, I examine the relevance of brand functions in more detail. In Essay 2, I use a dyadic dataset with matched buyer-seller dyads to examine the causes and effects of perceptual congruence and incongruence of brand culture strength on the buyer-seller relationship, while considering relationship-specific investments and interaction mechanisms as moderating effects. I show that congruence and incongruence have different effects on customer loyalty and price sensitivity and that these are strongly context-dependent. In Essay 3, I deal with brand essence strength interactions and their effects on the buyer-seller relationship. I use a dyadic dataset with matched buyer-seller dyads to show how brand essence strength influences customer loyalty and customer profitability, and how it interacts with key customer attitudes and other important buyer-seller relationship closeness indicators. This dissertation makes a significant contribution to the literature on brand identity, brand culture, and brand essence in buyer-seller relationships. Furthermore, my dissertation offers practical implications for managers at B2B suppliers who (re)shape their brand management with a focus on the inner parts of the brand. KW - brand management KW - business-to-business KW - brand identity KW - brand culture KW - brand essence Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-11589 ER - TY - THES A1 - Grösbrink, Carl-Friederich T1 - Three Essays on Firm Value and Firm Risk and their Relation to IT-Exposure, Corporate Social Responsibility, and Religiosity N2 - 1. IT-Exposure and Firm Value: We analyze the joint influence of a firm’s information technology (IT)-Exposure and investment behavior on firm value. Estimating a firm’s (partial) IT-Exposure allows for distinguishing between firms with a business model that is challenged by IT above and below market average. Hence, we estimate the annual IT-Exposure of a firm using a 3-factor Fama-French model extended by an IT-proxy. Subsequently, we analyze the relationship with Tobin’s Q in a panel data context, accounting for the relationship between IT-Exposure and investments proxied by R&D as well as CapEx. We use more than 48,000 firm-year observations for firms in the Russell 3000 Index covering the period 1990 to 2018. Although IT-Exposure has a negative impact on firm value, this discount can be overcompensated by up to 2.1 times by sufficient investments through R&D and CapEx, giving a firm with an average Tobin’s Q a premium of 14.8% to 19.2%, while controlling for endogeneity. 2. Corporate Social Responsibility, Risk, and Firm Value: An Unconditional Quantile Regression Approach: This paper examines the impact of corporate social responsibility (CSR) on firm risk, comprising total risk, idiosyncratic risk, and systematic risk, as well as firm value. We focus on analyzing the interrelationships along the entire distribution of the dependent variables, thus estimating an unconditional quantile regression (UQR). The analysis is based on CSR scores from Refinitiv and MSCI, using up to 12,013 firm-year observations over the period 2002 to 2019 for all U.S. companies listed on NYSE, NASDAQ, and AMEX. UQR reveals strongly heterogeneous effects along the unconditional quantiles of the dependent variables, which are reflected in sign changes, magnitude and significance variations. For CSR we find a risk-reducing as well as value-enhancing effect. When applying fixed effects OLS, we can just partly confirm the risk-reducing and value-enhancing effect of CSR shown in the literature. 3. Heterogenous Effects of Religiosity on Firm Risk and Firm Value: An Unconditional Quantile Regression Approach: This paper examines the impact of religiosity on firm risk, comprising total risk, idiosyncratic risk, and systematic risk, as well as firm value. We focus on analyzing the interrelationships along the entire distribution of the dependent variables, thus estimating an unconditional quantile regression (UQR). The analysis is based on all U.S. companies listed on NYSE, NASDAQ, and AMEX for the period from 1980 through 2020. UQR reveals strongly heterogeneous effects along the unconditional quantiles of the dependent variables, which are reflected in sign changes, magnitude and significance variations. Overall, the risk-reducing effect of religiosity is more pronounced in the higher quantiles of the distribution. We further observe a value-reducing as well as value-enhancing religiosity effect. When applying fixed effects OLS, we can confirm the risk-reducing and non-existing value effect of religiosity shown in the literature. The robustness of our results is underpinned by a battery of additional tests. KW - Firm Value KW - Firm Risk KW - IT-Exposure KW - Corporate Social Responsibility KW - Religiosity Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-11558 ER - TY - THES A1 - Qiu, Ruyi T1 - The Role of Context in Stimulus-Response Binding and Retrieval N2 - Feature binding has been proven to be a common and general mechanism underlying human information processing and action control. There is strong evidence showing that when humans perform a task, stimuli (e.g., the target, the distractor) and responses are bound together into an episodic representation, called an event file or a stimulus-response (S-R) episode, which can be retrieved upon feature repetition. As compared with the target and the distractor, the context (i.e., an additional stimulus presented together with the target and the distractor, but not associated with any response keys throughout the whole course of the task), which is considered as task-irrelevant, did not receive that much attention in previous studies. The current thesis was aimed to provide insights into the different roles the context plays in S-R binding and retrieval. Specifically, in Study One and Two, the role of context as an element that can be integrated into an S-R episode was investigated, with a focus on the saliency and the inter-trial variability of the contextual stimulus. Both properties were found to influence how the context is integrated into an S-R episode. More specifically, results show that both saliency and inter-trial variability determine whether the context is directly bound in a binary fashion with the response, or it enters in to a configural binding together with another stimulus and the response. In Study Three, intrigued by the role of context as an event segmentation factor in the event perception literature, whether the context can demarcate the integration window of an S-R episode was tested. Results provide consistent evidence that sharing a common context leads to a stronger binding between a stimulus and the response, as compared with the condition when these elements are separated by different contexts, thereby suggesting a binding principle of common context. Taken together, the current thesis specifies the role of context in S-R binding and retrieval, and sheds some light on how contextual information influences human behavior. Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-11390 ER - TY - THES A1 - Mosch, Philipp T1 - Four Essays on Digital Transformation Strategies from the Perspectives of Capital Markets, Incumbents and Start-ups N2 - This dissertation uses four studies to examine the context-contingent strategic factors that are critical to the success of digital transformation strategies from the perspectives of capital markets, incumbents, and start-ups. It focuses on a better understanding of (1) digital innovations and their quantitative evaluation, (2) power disruptions in digitally servitized supply chains, (3) strategic measures and dynamics in digital B2B platform markets, and (4) strategizing by data-driven start-ups in digitalized business networks. Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-11337 ER - TY - THES A1 - Mini, Tobias T1 - An Exploration of Tensions in Centralized and Decentralized Digital Platform Contexts N2 - Digital platforms consist of technical elements such as software and hardware and associated social elements such as organizational processes and standards. When such social or technical elements seem logical individually but inconsistent when juxtaposed they form tensions. Prior research on platforms often focused on individual elements of digital platforms but neglected possible related and conflicting elements which offers limited insight about underlying tensions. While some studies on platforms considered tensions, they largely assumed that centralized platform owners being responsible for responding to tensions, neglecting collective response mechanisms in blockchain-based decentralized autonomous organizations (DAOs) where decentralized participants typically respond to tensions. The examination of tensions in the context of centralized platforms and decentralized autonomous organizations offers an opportunity to surface conflicting elements that form novel types of socio-technical tensions which require collective and technology-enabled response mechanisms. This thesis explored what tensions exist in centralized and decentralized digital platform contexts and how platform participants can respond to selected tensions. For this purpose, this thesis comprises five essays that employ multiple different research methods including interviews analyzed by using techniques of grounded theory, qualitative meta-analysis of published case studies, and systematic literature reviews. The findings derived from all five essays contribute to a better understanding of tensions in digital platforms. In particular, this thesis (1) offers a lens for analyzing platforms as collective organizations in which tensions arise at the collective meta-organizational level requiring collective responses, (2) identifies new tensions and response mechanisms related to generativity and collectivity, and (3) points to a novel category of socio-technical tensions that are especially salient in digital platforms. KW - Digital Platform KW - Decentralized Autonomous Organization KW - Tension KW - Grounded Theory Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-11322 ER - TY - THES A1 - Sonnleitner, Mathias T1 - The power of random information for numerical approximation and integration N2 - This thesis investigates the quality of randomly collected data by employing a framework built on information-based complexity, a field related to the numerical analysis of abstract problems. The quality or power of gathered information is measured by its radius which is the uniform error obtainable by the best possible algorithm using it. The main aim is to present progress towards understanding the power of random information for approximation and integration problems. In the first problem considered, information given by linear functionals is used to recover vectors, in particular from generalized ellipsoids. This is related to the approximation of diagonal operators which are important objects of study in the theory of function spaces. We obtain upper bounds on the radius of random information both in a convex and a quasi-normed setting, which extend and, in some cases, improve existing results. We conjecture and partially establish that the power of random information is subject to a dichotomy determined by the decay of the length of the semiaxes of the generalized ellipsoid. Second, we study multivariate approximation and integration using information given by function values at sampling point sets. We obtain an asymptotic characterization of the radius of information in terms of a geometric measure of equidistribution, the distortion, which is well known in the theory of quantization of measures. This holds for isotropic Sobolev as well as Hölder and Triebel-Lizorkin spaces on bounded convex domains. We obtain that for these spaces, depending on the parameters involved, typical point sets are either asymptotically optimal or worse by a logarithmic factor, again extending and improving existing results. Further, we study isotropic discrepancy which is related to numerical integration using linear algorithms with equal weights. In particular, we analyze the quality of lattice point sets with respect to this criterion and obtain that they are suboptimal compared to uniform random points. This is in contrast to the approximation of Sobolev functions and resolves an open question raised in the context of a possible low discrepancy construction on the two-dimensional sphere. KW - information-based complexity KW - cubature KW - numerical approximation KW - discrepancy KW - Monte Carlo integration KW - Komplexität / Algorithmus KW - Numerische Integration KW - Monte-Carlo-Integration KW - Gewichteter Funktionenraum KW - Scattered-Data-Interpolation Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-11305 ER - TY - THES A1 - Knott, Manuel T1 - Blockchain: Disrupting the Creative Industries – Enablers, Barriers and Utilization through Persuasive System Design N2 - Blockchain technology enables the automated recording of information and execution of contract content – utilizing so-called Smart Contracts – without relying on trusted intermediaries (Beck et al., 2016). A blockchain is best described as a decentralized digital ledger (Atzori, 2015). The decentralized data storage on the blockchain makes the recorded information tamper-proof and creates transparency along the value chain. Therefore blockchain changes fundamentally the way data and information are processed (Al-Jaroodi & Mohamed, 2019; Avital et al., 2016). This has given rise to numerous use cases for blockchain in a wide range of industries. Fundamentally, blockchain technology can be used at any time when information needs to be stored in an automated and tamper-proof manner (Crosby et al., 2016). In the financial industry, blockchain helps to automate peer-to-peer transactions. This makes middlemen obsolete, which can reduce transaction costs (Cai, 2018). In the public health sector, blockchain is primarily used for decentralized storage of patient records. By using blockchain technology, these patient records are secured against manipulation and unauthorized access by third parties (Mettler, 2016). Another interesting use case can be seen in the electricity market. Blockchain technology makes it possible to integrate micro producers of electricity, such as private households, into the power grid in a cost-efficient way (Cheng et al., 2017). However, blockchain technology also offers several applications in the creative industries to support the daily work of professionals. The term creative industries encompasses industries and sectors which hold intellectual property at the core of their value creation (Caves, 2000). According to DCMS (1998),creative industries include not only classic art sectors such as fine art, painting or crafting, but also areas such as marketing, game developing, film and video or music. As the main drivers of innovation, the creative industries have a steadily increasing influence on the overall economic impact. Often, ideas, products and services from the creative industries ultimately flow into other areas, such as the automotive sector, and support them in achieving their entrepreneurial goals (Banks, 2010; Jones et al., 2004). In order to continuously maintain the position as an innovation driver, a certain form of organization has prevailed in the creative industries. For the creative industries to react flexibly to new requirements and a constantly changing environment, work is usually carried out as project-based (DeFillippi, 2015). For this purpose, the teams of the project-based organization are predominantly formed using freelancers who are specialists in the required field. As a result, many recurring organizational activities arise, such as contracting, team finding or onboarding (DeFillippi, 2015; Eikhof & Haunschild, 2006). Therefore, professionals from the creative industries have to spend significant time on activities that do not serve their core task of creating intellectual property. These tasks not only reduce the efficiency of their work, but also hinder their creative flow (Foord, 2009; Hennekam & Bennett, 2016). In this regard, blockchain represents a promising technology to support professionals in the creative industries. For the creative industries, blockchain is primarily used to automate formal processes and secure intellectual property rights (O’Dair, 2018). Blockchain technology enables artists and creatives more freedom for their own creative activities. By automating repetitive activities, professionals from the creative industries are freed from typical management tasks (Arcos, 2018; Cong & He, 2019). Furthermore, for the first time, intellectual property can be secured in a cost- and time-efficient way by utilizing blockchain technology. This is made possible by the decentralized nature of the blockchain, which makes subsequent manipulation of the contents of the intellectual property impossible (Avital et al., 2016; Beck et al., 2016; Regner et al., 2019). Ultimately, the use of so-called Non-Fungible Tokens (NFTs) create the opportunity for artists and creatives to sell unique digital art (Regner et al., 2019). Thus, blockchain generates entirely new ways for creative industries to organize their projects and opens new markets to sell their work. While several use cases of blockchain technology can be identified in the creative industries, the widespread use of blockchain is still lacking. So far, no Blockchain service or blockchain application has managed to take a dominant market position in the creative industries. At first sight, this seems surprising since artists and creatives could fundamentally benefit from this technology. At the same time, professionals from the creative industries would not be dependent on middlemen or central entities. This circumstance gave the impulse for the research presented in this thesis. I was able to identify that professionals from the creative industries are still underutilizing blockchain technology for three main reasons: (1) When using blockchain technology, professionals from the creative industries experience strong resistance from their stakeholders, who want to prevent the use of blockchain. (2) The perceived constraints by artists and creatives in using blockchain still deter many from using this technology extensively. (3) Several blockchain applications lack a persuasive design, resulting in many artists and creatives continue to prefer conventional services and products. KW - Blockchain, Creative Industries, DLT, Persuasive Design Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-11149 ER - TY - THES A1 - Schlenker, Florian T1 - Delaunay Configuration B-Splines N2 - The generalization of univariate splines to higher dimensions is not straightforward. There are different approaches, each with its own advantages and drawbacks. A promising approach using Delaunay configurations and simplex splines is due to Neamtu. After recalling fundamentals of univariate splines, simplex splines, and the wellknown, multivariate DMS-splines, we address Neamtu’s DCB-splines. He defined two variants that we refer to as the nonpooled and the pooled approach, respectively. Regarding these spline spaces, we contribute the following results. We prove that, under suitable assumptions on the knot set, both variants exhibit the local finiteness property, i.e., these spline spaces are locally finite-dimensional and at each point only a finite number of basis candidate functions have a nonzero value. Additionally, we establish a criterion guaranteeing these properties within a compact region under mitigated assumptions. Moreover, we show that the knot insertion process known from univariate splines does not work for DCB-splines and reason why this behavior is inherent to these spline spaces. Furthermore, we provide a necessary criterion for the knot insertion property to hold true for a specific inserted knot. This criterion is also sufficient for bivariate, nonpooled DCB-splines of degrees zero and one. Numerical experiments suggest that the sufficiency also holds true for arbitrary spline degrees. Univariate functions can be approximated in terms of splines using the Schoenberg operator, where the approximation error decreases quadratically as the maximum distance between consecutive knots is reduced. We show that the Schoenberg operator can be defined analogously for both variants of DCB-splines with a similar error bound. Additionally, we provide a counterexample showing that the basis candidate functions of nonpooled DCB-splines are not necessarily linearly independent, contrary to earlier statements in the literature. In particular, this implies that the corresponding functions are not a basis for the space of nonpooled DCB-splines. N2 - Univariate Splines können nicht unmittelbar auf mehrere Dimensionen verallgemeinert werden. Jedoch gibt es verschiedene Ansätze mit jeweils unterschiedlichen Vor- und Nachteilen. Eine vielversprechende Herangehensweise, die Delaunay-Konfigurationen und Simplex-Splines verwendet, stammt von Neamtu. Nachdem wir die Grundlagen von univariaten Splines, Simplex-Splines und den bekannten multivariaten DMS-Splines wiederholt haben, beschäftigen wir uns mit Neamtus DCB-Splines. Er führte zwei verschiedene Varianten ein, die als nichtaggregierter beziehungsweise aggregierter Ansatz bezeichnet werden. In Bezug auf diese Splineräume präsentieren wir die folgenden Ergebnisse. Wir zeigen zum einen, dass beide Varianten unter geeigneten Voraussetzungen an die Knotenmenge die sogenannte Lokale-Endlichkeits-Eigenschaft besitzen. Dies bedeutet, dass die Splineräume lokal endlichdimensional sind und dass an jedem Punkt nur eine endliche Anzahl der Kandidaten an Basisfunktionen einen von null verschiedenen Wert aufweist. Zusätzlich ermitteln wir ein Kriterium, welches diese Eigenschaften auf einem kompakten Gebiet auch unter schwächeren Voraussetzungen garantiert. Darüber hinaus zeigen wir, dass der von den univariaten Splines her bekannte Prozess des Knoteneinfügens für DCB-Splines nicht funktioniert, und begründen, warum dieses Verhalten in der Natur dieser Splineräume liegt. Außerdem geben wir ein notwendiges Kriterium dafür an, dass die Knoteneinfüge-Eigenschaft für einen bestimmten einzufügenden Knoten gegeben sein kann. Für bivariate nicht-aggregierte DCB-Splines von Grad null und eins ist dieses Kriterium auch hinreichend. Numerische Experimente legen ferner die Vermutung nahe, dass dies unabhängig vom Splinegrad der Fall ist. Univariate Funktionen können mithilfe des Schoenberg-Operators durch Splines approximiert werden. Dabei hat eine Verringerung des maximalen Abstands zweier aufeinanderfolgender Knoten eine quadratische Verringerung des Approximationsfehlers zur Folge. Wir zeigen, dass der Schoenberg-Operator für beide Variaten von DCB-Splines auf analoge Art und Weise und mit einer ähnlichen Fehlerschranke definiert werden kann. Zusätzlich geben wir ein Gegenbeispiel an, das zeigt, dass die Basisfunktions-Kandidaten der nicht-aggregierten DCB-Splines nicht notwendigerweise linear unabhängig sind, was einen Gegensatz zu früheren Behauptungen in der Literatur darstellt. Dies impliziert insbesondere, dass die entsprechenden Funktionen keine Basis für den Raum der nicht-aggregierten DCB-Splines bilden. KW - Multivariate splines KW - Simplex splines KW - Delaunay triangulations KW - Delaunay configurations KW - Neamtu, Marian KW - Spline KW - Bivariater Spline KW - Spline-Raum KW - Simplexspline KW - Neamtu, Marian Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-11225 ER - TY - THES A1 - Stüdlein, Nadine T1 - Data as a Common Good: Essays on Data Portability and B2B Industrial Data Sharing N2 - Data is an important resource in our economy and society, substantially improving overall business efficiency, innovativeness and competitiveness, and shaping our everyday lives. Yet, to leverage the data's full potential, its access and availability is vital. Thus, data sharing across organizations is of particular importance. This thesis examines the role of data sharing in the digital economy and contributes to a better understanding why data sharing matters, why it is still underutilized, and how data sharing can be encouraged. Thereby, the thesis contributes to the ongoing academic debate as well as the practical and political efforts on how to promote data sharing. The thesis is comprised of three studies. Study 1 examines personal data sharing among (competing) online services. Particularly, it investigates the consequences of Article 20 in the General Data Protection Regulation (GDPR, May 2018), ensuring the right to data portability. This relatively new right allows online service users to transfer any personal data from one service provider to another. Focusing on a) the amount of data provided by users and b) the amount of user data disclosed to third party data brokers by service providers, the study investigates the right to data portability's effect on competitiveness and consumer surplus. Study 2 and Study 3 focus on non-personal data sharing among competing firms. Study 2 examines the literature to identify and classify barriers to non-personal, machine-generated data sharing. The study explains firms' reluctance to sharing data and discusses policy and managerial implications for overcoming the data sharing barriers. Study 3 focuses on data sharing via platforms. It investigates the Business-to-Business (B2B) data sharing platform design implications for promoting industrial data sharing. In particular, Study 3 investigates the dimensions control and transparency regarding their effect in eliciting cooperation and encouraging data sharing among firms. In summary, this thesis examines and reveals how access and availability of data can be increased through creating beneficial data sharing conditions in B2B relationships. Particularly, the thesis contributes to the understanding of a) the implications of data sharing laws, defined in the GDPR for personal data and b) the challenges and measures of the not yet successfully established, non-personal data sharing. KW - data portability KW - B2B data sharing KW - barriers KW - strategic challenges KW - online platforms Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-11205 ER - TY - THES A1 - Garbas, Janina T1 - From now to next – Three essays on consumer responses to innovative technology-driven business models N2 - Over the last decades, ongoing advancements in information technology (i.e., Internet and mobile devices) have expanded a firm’s ability to communicate and interact with consumers and hence, create the potential of building sustainable relationships. Tailoring offerings through (1) consumer-initiated customization and (2) firm-initiated personalization is considered a key driver of long-term consumer relationships. As technologies continue to evolve, the opportunities for tailored marketing expand and enable new technology-driven business models that help to leverage customization and personalization and strengthen customer relationships in the era of the digital economy. Across three independent essays, the purpose of this dissertation is to answer the overarching research question of how innovative technology-driven business models versus traditional business models in the domains of customization and personalization influence consumer behavior. Thereby, this dissertation contributes to an understanding of challenges and opportunities of innovative customization and personalization business models with the ultimate goal of enabling their successful diffusion in the marketplace. Specifically, in Essay 1 and Essay 2, I investigate an innovative business model located in the realm of customization, that is, internal product upgrades (i.e., offering fee-based access to originally built-in, but deliberately restricted, optional features). Using a conceptual approach, Essay 1 provides a framework for understanding how internal product upgrades will likely influence consumers’ responses. As such, it outlines evolving challenges and opportunities of internal product upgrades and derives questions for future research. In Essay 2, I use an empirical approach to examine pitfalls of internal product upgrades in the product usage phase. Drawing on research on normative expectations and perceived ownership, this essay reveals that consumers respond less favorably to internal (vs. external) product upgrades and investigates managerially relevant boundary conditions. Finally, Essay 3 creates novel insights into a business model in the domain of personalization. This essay examines how the increasingly prevalent data disclosure practice of firms engaging in a network with other firms to exchange consumer data, which we denote as Business Network Data Exchange (BNDE), influences consumers’ privacy-related decision-making. In particular, this essay shows that consumers are less likely to disclose personal data in BNDE (vs. traditional dyadic) data exchange settings and that immediate affective reactions are crucial in explaining consumers’ privacy-related decision-making. Within this dissertation, I make substantial contributions at a more general level to literature on customization and personalization by comparing innovative business models to established ones. At the individual essay level, I extend existing research in the domains of product feature modifications, norm violations, and privacy-related decision making. Moreover, this dissertation provides actionable implications for managers who are facing the decision to transform their established business model into an innovative technology-driven one. KW - technology-driven business models KW - consumer behavior KW - customization KW - personalization Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-11132 ER - TY - THES A1 - Schmid, Josef T1 - Learning-Based Quality of Service Prediction in Cellular Vehicle Communication N2 - Network communication has become a part of everyday life, and the interconnection among devices and people will increase even more in the future. A new area where this development is on the rise is the field of connected vehicles. It is especially useful for automated vehicles in order to connect the vehicles with other road users or cloud services. In particular for the latter it is beneficial to establish a mobile network connection, as it is already widely used and no additional infrastructure is needed. With the use of network communication, certain requirements come along. One of them is the reliability of the connection. Certain Quality of Service (QoS) parameters need to be met. In case of degraded QoS, according to the SAE level specification, a downgrade of the automated system can be required, which may lead to a takeover maneuver, in which control is returned back to the driver. Since such a handover takes time, prediction is necessary to forecast the network quality for the next few seconds. Prediction of QoS parameters, especially in terms of Throughput (TP) and Latency (LA), is still a challenging task, as the wireless transmission properties of a moving mobile network connection are undergoing fluctuation. In this thesis, a new approach for prediction Network Quality Parameters (NQPs) on Transmission Control Protocol (TCP) level is presented. It combines the knowledge of the environment with the low level parameters of the mobile network. The aim of this work is to perform a comprehensive study of various models including both Location Smoothing (LS) grid maps and Learning Based (LB) regression ones. Moreover, the possibility of using the location independence of a model as well as suitability for automated driving is evaluated. N2 - Netzwerkkommunikation ist zu einem Teil des täglichen Lebens geworden, und die Vernetzung von Geräten und Menschen wird in Zukunft noch weiter zunehmen. Ein neuer Bereich, in dem diese Entwicklung zunimmt, sind vernetzte Fahrzeuge. Es ist vorteilhaft automatisierte Fahrzeuge mit anderen Verkehrsteilnehmern oder Cloud-Diensten zu verbinden. Insbesondere für letztere ist der Einsatz einer mobilen Netzwerkverbindung zweckmäßig, da sie bereits weit verbreitet ist und keine zusätzliche Infrastruktur erfordert. Mit der Nutzung des Netzwerkes gehen auch einige Anforderungen einher. Die Zuverlässigkeit der Verbindung ist entscheidend. Kann keine ausreichende Qualität der Verbindung erfüllt werden kann nach SAE Spezifikation das Herunterstufen der Automatisierungsstufe erforderlich sein. In letzter Konsequenz kann diese schließlich zu einem Übernahmemanöver führen, wobei die Kontrolle wieder an den Fahrer zurückgegeben wird. Da ein solcher Wechsel Zeit in Anspruch nimmt, ist eine Vorhersage erforderlich, um die Netzqualität in den nächsten Sekunden zu prognostizieren. Eine solche Vorhersage der Dienstgüte (Quality of Service (QoS)), besonders hinsichtlich Durchsatz und Latenz, nach wie vor eine recht anspruchsvolle Aufgabe, da die drahtlosen Übertragungseigenschaften einer sich bewegenden mobilen Netzwerkverbindung großen Schwankungen unterliegen. In dieser Dissertation wird ein neuer Ansatz für die Vorhersage von Network Quality Parameters (NQPs) auf der Ebene des Transmission Control Protocol (TCP) vorgestellt. Er kombiniert das Wissen der Umgebung mit den Parametern des Mobilfunknetzes. Das Ziel dieser Arbeit ist eine umfangreiche Untersuchung verschiedener Modelle, darunter sind sowohl Lokalisationsglättende Kachel-Karten wie auch Regressionsverfahren aus dem Bereich des Maschinellen Lernens. Darüber hinaus wird dessen die Möglichkeit der Nutzung der Ortsunabhängigkeit eines Modells erörtert sowie Eignung für automatisiertes Fahren evaluiert. Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-10772 ER - TY - THES A1 - Murawski, Lena T1 - Essays on current topics in employee entrepreneurial behaviors and attitudes N2 - A firm's entrepreneurial orientation (EO) is its propensity to act proactively, innovate, take risks, and engage in competitive and autonomous behaviors. Prior research shows that EO is an im-portant factor for new ventures to overcome barriers to survival and fostering growth, measured by annual sales and employment growth rates. In particular, individual-level EO (IEO) is an important driver of a firm’s EO. The firm’s ability to exploit opportunities appearing in the mar-ket and to achieve superior performance depends on the employees’ skills and experiences to act and think entrepreneurially. The main objective of this dissertation is to investigate how and when employees engage in entrepreneurial behaviors at work. Building on three essays, this dissertation takes an interdisciplinary approach to employee entrepreneurial behaviors in new ventures, encompassing both entrepreneurship and gamification research. The first main contri-bution proposed in this field is a more nuanced understanding of how employee entrepreneurial behaviors help young firms cope with growth-related, organization-transforming challenges (i.e., changes in organizational culture that accompany growth, the introduction of hierarchical structures, and the formalization of processes). When new ventures grow, employees’ IEO tends to manifest in introducing technological innovations and business improvements rather than in actions related to risk-taking. Second, this dissertation reveals the relevance of self-efficacy for entrepreneurial behaviors and explores how gamification can enhance employee entrepreneurial behaviors in new ventures. Based on these findings, this dissertation contributes to EO research by highlighting the role of IEO as a building block for EO pervasiveness. This research further develops our knowledge on the use of gamification in new ventures. This cu-mulative dissertation is structured as follows. Part A is an introduction to the study of entrepre-neurial behaviors. Part B contains the three essays.  KW - Entrepreneurial behaviors, gamification, entrepreneurial orientation, start-up, new venture, start-up growth Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-10740 ER - TY - JOUR A1 - Augsten, Pauline A1 - Glassner, Sebastian A1 - Rall, Jenni T1 - The Myth of Responsibility: Colonial Cruelties and Silence in German Political Discourse JF - Global Studies Quarterly N2 - Germany is considered a role model for dealing with past mass atrocities. In particular, the social reappraisal of the Holocaust is emblematic of this. However, when considering the genocide on the Herero and Nama in present-day Namibia, it is puzzling that an official recognition was only pronounced after almost 120 years, in May 2021. For a long time, silence surrounded this colonial cruelty in German political discourse. Although the discourse on German responsibility toward Namibia emerged after the end of World War II, it initially appeared detached from the genocide. That silence on colonial atrocities is to be considered a cruelty itself. Studies on silence have been expanding and becoming richer. Building on these works, the paper sets two goals: First, it advances the theorization of silence by producing a new typology, which is then integrated into discourse-bound identity theory. Second, it applies this theory to the analysis of the silencing and later acknowledging of the genocide on the Herero and Nama by German political elites. To this end, Bundestag debates, official documents, and statements by relevant political actors are analyzed in the period from 1980 to 2021. The results reveal the dynamics between hegemonic and counter-hegemonic discursive formations, how those are shifting in a period of 40 years, and what role silence plays in it. Beyond our emphasis on the genocide on the Herero and Nama, our findings might benefit future studies as the approach proposed in this paper can make silence a tangible research object for global studies. Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-10437 SP - 1 EP - 12 ER - TY - THES A1 - Silva, Vivian dos Santos T1 - A Composite Syntactic-Semantic Interpretable Text Entailment Approach Exploring Commonsense Knowledge Graphs N2 - Natural Language Processing has an important role in Artificial Intelligence for easing human-machine interaction. Processing human language, though, poses many challenges, among which is the semantics-related phenomenon known as language variability, the fact that the same thing can be said in several ways. NLP applications' inputs and outputs can be expressed in different forms, whose equivalence can be verified through inference. The textual entailment paradigm was established to enable the creation of a unifying framework for applied inference, providing a means of delivering other NLP task from handling inference issues in an ad-hoc manner, using instead the outputs of an inference-dedicated mechanism. Text entailment, the task of determining whether a piece of text logically follows from another piece of text, involves different scenarios, which can range from a simple syntactic variation to more complex semantic relationships between sentences. However, most approaches try a one-size-fits-all solution that usually favors some scenario to the detriment of another. The commonsense world knowledge necessary to support more complex inferences is also usually employed in a limited way, with most approaches sticking to shallow semantic information, leaving more elaborate semantic relationships aside. Furthermore, most systems still work as a "black box", providing a yes/no answer that does not explain the underlying reasoning process. This thesis aims at addressing these issues by proposing a composite interpretable approach for recognizing text entailment where the entailment pair is analyzed so the most relevant phenomenon is detected and the suitable method can be used to solve it. Syntactic variations are dealt with through the analysis of the sentences' syntactic structures, and semantic relationships are detected with the aid of a knowledge graph built from natural language dictionary definitions. Also, if a semantic matching is involved, the answer is made interpretable through the generation of natural language justifications that explain the semantic relationship between the pieces of text. The result is the XTE - Explainable Text Entailment - a system that outperforms well-established tools based on single-technique entailment algorithms, and that also gives an important step towards Explainable AI, allowing the inference model interpretation, making the semantic reasoning process explicit and understandable. KW - Textual Entailment KW - Knowledge Graph KW - Semantic Interpretability Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-10706 ER - TY - THES A1 - Norberto Sales, Juliano Efson T1 - An Explainable Semantic Parser for End-User Development N2 - Programming is a key skill in a world where businesses are driven by digital transformations. Although many of the programming demand can be addressed by a simple set of instructions composing libraries and services available in the web, non-technical professionals, such as domain experts and analysts, are still unable to construct their own programs due to the intrinsic complexity of coding. Among other types of end-user development, natural language programming has emerged to allow users to program without the formalism of traditional programming languages, where a tailored semantic parser can translate a natural language utterance to a formal command representation able to be processed by a computational machine. Currently, semantic parsers are typically built on the top of a learning method that defines its behaviours based on the patterns behind a large training data, whose production frequently are costly and time-consuming. Our research is devoted to study and propose a semantic parser for natural language commands targeting a scenario with low availability of training data. Our proposed semantic parser follows a multi-component architecture, composed of a specialised shallow parser that associates natural language commands to predicate-argument structures, integrated to a distributional ranking model that matches the command to a function signature available from an API knowledge base. Systems developed with statistical learning models and complex linguistics resources, as the proposed semantic parser, do not provide natively an easy way to associate a single feature from the input data to the impact in system behaviour. In this scenario, end-user explanations for intelligent systems has become a strong requirement to increase user confidence and system literacy. Thus, our research designed an explanation model for the proposed semantic parser that fits the heterogeneity of its multi-component architecture. The explanation model explores a hierarchical representation in an increasing degree of technical depth, providing higher-level explanations in the initial layers, going gradually to those that demand technical knowledge, applying different explanation strategies to better express the approach behind each component. With the support of a user-centred experiment, we compared the utility of different types of explanations and the impact of background knowledge in their preferences. Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-10718 ER - TY - THES A1 - Opris, Andre T1 - Holomorphic Extensions in the Structure R_{an,exp} N2 - In this thesis we consider real analytic functions, i.e. functions which can be described locally as convergent power series and ask the following: Which real analytic functions definable in R_{an,exp} have a holomorphic extension which is again definable in R_{an,exp}? Finding a holomorphic extension is of course not difficult simply by power series expansion. The difficulty is to construct it in a definably way. We will not answer the question above completely, but introduce a large non trivial class of definable functions in R_{an,exp} where for example functions which are iterated compositions from either side of globally subanalytic functions and the global logarithm are contained. We call them restricted log-exp-analytic. After giving some preliminary results like preparation theorems and Tamm's Theorem for this class of functions we are able to show that real analytic restricted log-exp-analytic functions have a holomorphic extension which is again restricted log-exp-analytic. KW - O-Minimality KW - Preparation Theorems KW - Restricted Log-Exp-Analytic Functions KW - Complexification KW - Tamm's Theorem KW - O-Minimalität Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-10691 ER - TY - THES A1 - Tomek, Raphaela T1 - Quiet please! - School Noise and its Effects on Student Teachers and Practicing Teachers N2 - Lärm in Schulen gilt aus unterschiedlichen Gründen als massiver Belastungsfaktor für Lehrkräfte und kann deshalb zu Leistungsdefiziten im Beruf, aber auch zu physischen und psychischen Beeinträchtigungen führen. Die Erforschung von Schullärm und seinen Auswirkungen ist daher essentiell. Die drei Studien, die in dieser Arbeit vorgestellt werden, untersuchten die unmittelbaren Auswirkungen von Lärm auf Lehramtsstudierende und die mittelbaren Auswirkungen auf praktizierende Lehrkräfte. In der ersten und zweiten Studie wurde im Rahmen zweier Experimente überprüft, wie sich Pausenlärm auf das Stresserleben, die Leistung in einem Konzentrationstest und auf die Fehlerkorrektur eines Diktats auswirkt. Auf Grundlage des transaktionalen Stressmodells (Lazarus & Folkman, 1984) wurde vermutet, dass Lärm zu einer Erhöhung des Stresserlebens führt. Der Maximal-Adaptability-Theorie (Hancock & Warm, 1989, 2003) nach sollte der Lärm zunächst eine optimale Leistung, langfristig jedoch eine Leistungsbeeinträchtigung verursachen. Um dies zu überprüfen, bearbeiteten in der ersten Studie 74 und in der zweiten Studie 104 Lehramtsstudierende der Universität Passau zwei unterschiedliche Konzentrationstests und korrigierten das Diktat eines Schülers, während sie kurzen, kontinuierlichen oder keinen Pausenlärm hörten. In beiden Experimenten führte kontinuierlicher Lärm zu einer Erhöhung des Stresserlebens. Weder kurzer noch kontinuierlicher Lärm führte zu einer Verschlechterung der Konzentrationsleistung. Weiter zeigten sich unterschiedliche Befunde: Im ersten Experiment führte ein kurzer Konzentrationstest in Kombination mit kontinuierlichem Lärm zu positiven Effekten in der Diktatkorrektur, d.h. die Versuchspersonen wiesen eine bessere Leistung in der Fehlerkorrektur auf. Im zweiten Experiment führte ein langer Konzentrationstest in Kombination mit kurzem oder kontinuierlichem Lärm zu negativen Effekten, d.h. die Probanden machten vergleichsweise mehr Fehler bei der anschließenden Diktatkorrektur. Daraus lässt sich schlussfolgern, dass Schullärm einerseits das Stresserleben erhöhen und andererseits die anschließende Leistungsfähigkeit der Lehrkräfte verbessern oder einschränken kann. Letzteres scheint allerdings von der konkreten Situation abzuhängen. Im ersten Teil der dritten Studie lag der Fokus auf den Bewältigungsstilen und dem erlebten Stress der Lehrkräfte. Da Bewältigungsstile nachweislich einen großen Einfluss auf die psychische Gesundheit haben, lag die Vermutung nahe, dass das durch Lärm verursachte Stresserleben je nach Bewältigungsstil unterschiedlich ausfällt. Auf der Grundlage des Belastungs-Beanspruchungsmodells (Rudow, 2000) und des transaktionalen Stressmodells (Lazarus & Folkman, 1984) wurde angenommen, dass Lehrkräfte mit riskanten Copingstilen mehr Stresssymptome erleben. Deshalb wurde im Rahmen einer Online-Studie untersucht, ob es in Bezug auf psychische und körperliche Symptome Unterschiede zwischen Lehrkräften mit distinkten Bewältigungsstilen gibt. Dazu wurden 99 bayerische Grund- und Mittelschullehrkräfte befragt. Aus den übergeordneten Skalen Engagement und Resilienz resultierten vier berufliche Bewältigungsstile. Der Typ Gesundheit (hohes Engagement, hohe Resilienz), der Schon-Typ (niedriges Engagement, hohe Resilienz), Typ A (hohes Engagement, niedrige Resilienz) und Typ Burnout (niedriges Engagement, niedrige Resilienz) unterschieden sich hinsichtlich Bedrohungseinschätzung, Lärmstress, Stimm- und Hörproblemen sowie lärmbedingtem Burnout. Im Vergleich zum Typ Gesundheit wiesen die Risikotypen Typ A und Typ Burnout ein höheres Stresserleben auf und erwiesen sich generell anfälliger gegenüber Schullärm als der Typ Gesundheit. Dies ist die erste Studie, die zeigen konnte, dass Schullärm besonders für Lehrkräfte mit riskanten Copingstilen eine Gefährdung darstellt. Im zweiten Teil der dritten Studie lag der Fokus auf den Wirkungspfaden von Schullärm. Hier wurden Zusammenhänge zwischen individuellen Eigenschaften der Lehrkräfte und den unterschiedlichen Auswirkungen von Schullärm vermutet. Basierend auf dem vereinfachten Modell von Lehrerstress (van Dick & Wagner, 2001) wurde an 159 bayerischen Grund- und Mittelschullehrkräften untersucht, ob Lärmstress und Stimmermüdung die Verbindung zwischen Lärmempfindlichkeit und lärmbedingtem Burnout vermitteln. Die Ergebnisse zeigten, dass Stress die Beziehung zwischen Lärmempfindlichkeit und Stimmermüdung vermittelte; Stimmermüdung vermittelte die Beziehung zwischen Lärmstress und lärmbezogenem Burnout; Lärmstress und Stimmermüdung vermittelten seriell die Beziehung zwischen Lärmempfindlichkeit und lärmbedingtem Burnout. Dies ist die erste Studie die Verbindungen zwischen lärmempfindlichen Lehrkräften und Lärmstress, Stimmproblemen und lärmbedingtem Burnout aufzeigen konnte. N2 - Noise in schools is considered a massive stress factor for teachers because of various reasons and can therefore lead to performance deficits in the job, but also to physical and psychological impairments. Consequently, research on school noise and its effects is essential. The three studies presented in this paper examined the immediate effects of noise on student teachers and the collateral effects on practicing teachers. In the first and second study, two experiments were conducted to examine the effects of noise during breaks on stress experience, performance in a concentration test, and error correction of a dictation. Based on the transactional stress model (Lazarus & Folkman, 1984), it was hypothesized that noise leads to an increase in stress experience. According to the maximal adaptability theory (Hancock & Warm, 1989, 2003), noise should initially cause optimal performance, but in the long run should cause performance impairment. For this purpose, in the first study 74 and in the second study 104 student teachers of the University of Passau worked on two different concentration tests and corrected a student’s dictation while listening to short, continuous, or no noise. In both experiments, continuous noise led to an increase in the experience of stress. Neither short nor continuous noise led to a deterioration in concentration performance. Further, different findings emerged: In the first experiment, a short concentration test in combination with continuous noise led to positive effects in dictation correction, i.e., subjects showed better performance in error correction. In the second experiment, a long concentration test combined with short or continuous noise resulted in negative effects, i.e., subjects made more errors in the subsequent correction of dictation. It can be concluded that school noise can, on the one hand, increase the experience of stress and, on the other hand, promote or limit teachers’ subsequent performance. The latest, however, seems to depend on the specific situation of the individual. In the first part of the third study, the focus was on teachers’ coping styles and experienced stress. Since coping styles have been shown to have a major impact on mental health, it was reasonable to assume that the stress experience caused by noise would vary depending on the coping style. Based on the stress-strain model (Rudow, 2000) and the transactional stress model (Lazarus & Folkman, 1984), it was hypothesized that teachers with risky coping styles experience more stress symptoms. Therefore, an online study was conducted to investigate whether there were differences in psychological and physical symptoms between teachers with different coping styles. For this purpose, 99 Bavarian elementary and middle school teachers were surveyed. Four professional coping styles resulted from the overarching scales of professional commitment and resilience. The healthy type (high commitment, high resilience), the unambitious type (low commitment, high resilience), type A (high commitment, low resilience), and type burnout (low commitment, low resilience) differed in terms of threat appraisal, noise stress, voice and hearing problems, and noise-related burnout. Compared to the healthy type, the risk types − type A and type burnout − exhibited higher stress experience and were generally more susceptible to school noise than the healthy type. This is the first study to show that school noise is particularly hazardous for teachers with risky coping styles. The second part of the third study focused on the impact pathways of school noise. Associations between teachers’ individual characteristics and the consequences of school noise were hypothesized. Based on the simplified model of teacher stress (van Dick & Wagner, 2001), we examined 159 Bavarian elementary and middle school teachers to determine whether noise stress and vocal fatigue mediate the association between noise sensitivity and noise-related burnout. Results indicated that noise stress mediated the relationship between noise sensitivity and vocal fatigue; vocal fatigue mediated the relationship between noise stress and noise-related burnout; noise stress and vocal fatigue serially mediated the relationship between noise sensitivity and noise-related burnout. This is the first study to show links between noise-sensitive teachers and noise stress, voice problems, and noise-related burnout. KW - school noise KW - teacher stress KW - student teachers KW - practicing teachers KW - performance Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-10626 ER - TY - THES A1 - Mandarawi, Waseem T1 - Multi-objective Network Virtualization and its Applicability to Industrial Networks N2 - Network virtualization provides high flexibility for deploying communication services in dense and heterogeneous environments. Two main approaches (dimensions) that are usually combined exist: Network Function Virtualization (NFV) technologies for functionality virtualization and Virtual Network Embedding (VNE) algorithms for resource virtualization. These approaches can be applied to different network levels, such as factory and enterprise levels of industrial networks. Several objectives and constraints, that might be conflicting, shall be considered when network virtualization is applied, mainly in complex topologies. This thesis proposes a network virtualization model that considers both virtualization dimensions, two network levels, and different objectives and constraints. The network levels considered are two primary levels in industrial networks. However, this consideration does not restrict the model to a particular environment or certain levels. The considered objectivities/constraints are topology, reliability, security, performance, and resource usage. Based on this model, we first build an overall combined solution for autonomic and composite virtual networking. This solution considers both virtualization dimensions, two network levels, and target objectives. Furthermore, this solution combines three novel virtualization sub-approaches that consider performance, reliability, and performance. However, the sub-approaches apply to different combinations of levels and dimensions, and the reliability approach additionally considers the resource usage objective. After presenting all solutions, we map them to the defined model. Regarding applicability to industrial networks, the combined approach is applied to an enterprise-level Industrial Internet of Things (IIoT) use case inspired by the smart factory concept in Industry 4.0. However, the sub-approaches are applied to more specific use cases. The performance and reliability solutions are integrated with relevant components of the Time Sensitive Networks (TSN) standard as a modern technology for industrial networks. The goal is to enrich the reliability and performance capabilities of TSN with the flexibility of network virtualization. In the combined approach, we compose and embed an environment-aware Extended Virtual Network (EVN) that represents the physical devices, virtual application functions, and required Service Function Chains (SFCs). We use the graph transformation method to transform abstract application requirements (represented by an Application Request (AR)) into an EVN. Both EVN composition and embedding methods consider the Substrate Network (SN) topology and different security, reliability, performance, and resource usage policies. These policies are applied with a certain priority and depend on the properties of communicating entities such as location and type. The EVN is embedded using property-based node mapping, reliability-aware branching, and a greedy chain embedding heuristic. The chain embedding heuristic is evaluated using a random topology that represents the use case. The performance sub-approach is NFV-based and is applied to a specific use case with Time-critical Traffic (TCT) flows. We develop and evaluate a complete framework for virtualizing Time-aware Shaper (TAS) using high-performance NFV. The reliability sub-approach is VNE-based and is applied to a specific factory level use case. We develop minimal and maximal branching heuristics based on a reliability-aware k-shortest path algorithm and compare them using a typical factory topology. We then integrate these algorithms with a Frame Replication and Elimination for Reliability (FRER) simulator to realize reliability policies by the autonomic and efficient configuration of a supporting technology. The security sub-approaches are related to both virtualization dimensions and are applied to generic enterprise-level use cases. However, the applicability of the security aspect to industrial networks is only shown in the combined (EVN) approach and its use case. We research the autonomic security management in Network Function Virtualization Infrastructure (NFVI) with the main goal of early reaction to threats through SFC reconfiguration through Virtual Network Function (VNF) live migration. This goal is approached by supporting the security measurements with a decision making architecture that considers, on the one hand, the threats and events in the environment and, on the other hand, the Service Level Agreement (SLA) between the NFVI provider and user. For this purpose, we classify the VNF-specific attacks and define possible early detectable behavior patterns. Finally, we develop a security-aware VNE heuristic that considers the security requirements of the Virtual Network (VN) and the security capabilities of the SN. This approach is modified in the combined approach to consider deploying virtualized security VNFs. KW - Network Virtualization KW - Industrial Networks KW - Virtual Network Embedding KW - Network Function Virtualization KW - Time Sensitive Networking Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-10606 ER - TY - THES A1 - Lenz, Luciane T1 - The diffusion of modern energy technologies in low-income settings - evidence from rural sub-Saharan Africa N2 - This collection of three chapters responds to today’s energy challenges. It explores innovative policy aimed to equip the energy poor with access to improved cooking energy and electricity, looking both at the demand and supply side of modern energy technologies. Concretely, it discusses mechanisms to increase uptake of off-grid solar electricity in rural Rwanda based on experimental demand measurements (Chapter 1), it studies how to diffuse improved cooking technologies in rural Senegal via supply-side mechanisms (Chapter 2), and it identifies the need to target cooking technologies in consideration of the broader household context in rural Senegal and beyond (Chapter 3). KW - Technology adoption KW - Energy access KW - Rural development KW - Subsaharisches Afrika KW - Armut KW - Energietechnik KW - Erneuerbare Energien Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-10550 ER - TY - THES A1 - Niklaus, Christina T1 - From Complex Sentences to a Formal Semantic Representation using Syntactic Text Simplification and Open Information Extraction N2 - Sentences that present a complex linguistic structure act as a major stumbling block for Natural Language Processing (NLP) applications whose predictive quality deteriorates with sentence length and complexity. The task of Text Simplification (TS) may remedy this situation. It aims to modify sentences in order to make them easier to process, using a set of rewriting operations, such as reordering, deletion or splitting. These transformations are executed with the objective of converting the input into a simplified output, while preserving its main idea and keeping it grammatically sound. State-of-the-art syntactic TS approaches suffer from two major drawbacks: first, they follow a very conservative approach in that they tend to retain the input rather than transforming it, and second, they ignore the cohesive nature of texts, where context spread across clauses or sentences is needed to infer the true meaning of a statement. To address these problems, we present a discourse-aware TS framework that is able to split and rephrase complex English sentences within the semantic context in which they occur. By generating a fine-grained output with a simple canonical structure that is easy to analyze by downstream applications, we tackle the first issue. For this purpose, we decompose a source sentence into smaller units by using a linguistically grounded transformation stage. The result is a set of selfcontained propositions, with each of them presenting a minimal semantic unit. To address the second concern, we suggest not only to split the input into isolated sentences, but to also incorporate the semantic context in the form of hierarchical structures and semantic relationships between the split propositions. In that way, we generate a semantic hierarchy of minimal propositions that benefits downstream Open Information Extraction (IE) tasks. To function well, the TS approach that we propose requires syntactically well-formed input sentences. It targets generalpurpose texts in English, such as newswire or Wikipedia articles, which commonly contain a high proportion of complex assertions. In a second step, we present a method that allows state-of-the-art Open IE systems to leverage the semantic hierarchy of simplified sentences created by our discourseaware TS approach in constructing a lightweight semantic representation of complex assertions in the form of semantically typed predicate-argument structures. In that way, important contextual information of the extracted relations is preserved that allows for a proper interpretation of the output. Thus, we address the problem of extracting incomplete, uninformative or incoherent relational tuples that is commonly to be observed in existing Open IE approaches. Moreover, assuming that shorter sentences with a more regular structure are easier to process, the extraction of relational tuples is facilitated, leading to a higher coverage and accuracy of the extracted relations when operating on the simplified sentences. Aside from taking advantage of the semantic hierarchy of minimal propositions in existing Open IE Abstract approaches, we also develop an Open IE reference system, Graphene. It implements a relation extraction pattern upon the simplified sentences. The framework we propose is evaluated within our reference TS implementation DisSim. In a comparative analysis, we demonstrate that our approach outperforms the state of the art in structural TS both in an automatic and a manual analysis. It obtains the highest score on three simplification datasets from two different domains with regard to SAMSA (0.67, 0.57, 0.54), a recently proposed metric targeted at automatically measuring the syntactic complexity of sentences which highly correlates with human judgments on structural simplicity and grammaticality. These findings are supported by the ratings from the human evaluation, which indicate that our baseline implementation DisSim returns fine-grained simplified sentences that achieve a high level of syntactic correctness and largely preserve the meaning of the input. Furthermore, a comparative analysis with the annotations contained in the RST Discourse Treebank (RST-DT) reveals that we are able to capture the contextual hierarchy between the split sentences with a precision of approximately 90% and reach an average precision of almost 70% for the classification of the rhetorical relations that hold between them. Finally, an extrinsic evaluation shows that when applying our TS framework as a pre-processing step, the performance of state-ofthe-art Open IE systems can be improved by up to 32% in precision and 30% in recall of the extracted relational tuples. Accordingly, we can conclude that our proposed discourse-aware TS approach succeeds in transforming sentences that present a complex linguistic structure into a sequence of simplified sentences that are to a large extent grammatically correct, represent atomic semantic units and preserve the meaning of the input. Moreover, the evaluation provides sufficient evidence that our framework is able to establish a semantic hierarchy between the split sentences, generating a fine-grained representation of complex assertions in the form of hierarchically ordered and semantically interconnected propositions. Finally, we demonstrate that state-of-the-art Open IE systems benefit from using our TS approach as a pre-processing step by increasing both the accuracy and coverage of the extracted relational tuples for the majority of the Open IE approaches under consideration. In addition, we outline that the semantic hierarchy of simplified sentences can be leveraged to enrich the output of existing Open IE systems with additional meta information, thus transforming the shallow semantic representation of state-of-the-art approaches into a canonical context-preserving representation of relational tuples. KW - Text Simplification KW - Syntactic Simplification KW - Open Information Extraction KW - Semantic Representation KW - Complex Sentences Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-10540 ER - TY - THES A1 - Behm, Svenia T1 - Four essays on statistical modelling of environmental data N2 - This dissertation deals with geostatistical, time series, and regression analytical approaches for modelling spatio-temporal processes, using air quality data in the applications. The work is structured into four essays the abstracts of which are given in the following. The first essay is titled 'Spatial detrending revisited: Modelling local trend patterns in NO2-concentration in Belgium and Germany'. It is written in co-authorship by Prof. Dr. Harry Haupt and Dr. Angelika Schmid and published in 2018 in Spatial Statistics 28, pp. 331-351 (https://doi.org/10.1016/j.spasta.2018.04.004). Abstract Short-term predictions of air pollution require spatial modelling of trends, heterogeneities, and dependencies. Two-step methods allow real-time computations by separating spatial detrending and spatial extrapolation into two steps. Existing methods discuss trend models for specific environments and require specification search. Given more complex environments, specification search gets complicated by potential nonlinearities and heterogeneities. This research embeds a nonparametric trend modelling approach in real-time two-step methods. Form and complexity of trends are allowed to vary across heterogeneous environments. The proposed method avoids ad hoc specifications and potential generated predictor problems in previous contributions. Examining Belgian and German air quality and land use data, local trend patterns are investigated in a data driven way and are compared to results computed with existing methods and variations thereof. An important aspect of our empirical illustration is the heterogeneity and superior performance of local trend patterns for both research regions. The findings suggest that a nonparametric spatial trend modelling approach is a valuable tool for real-time predictions of pollution variables: it avoids specification search, provides useful exploratory insights and reduces computational costs. The second essay is titled 'Predictability of hourly nitrogen dioxide concentration'. It is written in co-authorship with Prof. Dr. Harry Haupt and published in 2020 in Ecological Modelling 428, 109076 (https://doi.org/10.1016/j.ecolmodel.2020.109076). Abstract Temporal aggregation of air quality time series is typically used to investigate stylized facts of the underlying series such as multiple seasonal cycles. While aggregation reduces complexity, commonly used aggregates can suffer from non-representativeness or non-robustness. For example, definitions of specific events such as extremes are subjective and may be prone to data contaminations. The aim of this paper is to assess the predictability of hourly nitrogen dioxide concentrations and to explore how predictability depends on (i) level of temporal aggregation, (ii) hour of day, and (iii) concentration level. Exploratory tools are applied to identify structural patterns, problems related to commonly used aggregate statistics and suitable statistical modeling philosophies, capable of handling multiple seasonalities and non-stationarities. Hourly times series and subseries of daily measurements for each hour of day are used to investigate the predictability of pollutant levels for each hour of day, with prediction horizons ranging from one hour to one week ahead. Predictability is assessed by time series cross validation of a loss function based on out-of-sample prediction errors. Empirical evidence on hourly nitrogen dioxide measurements suggests that predictability strongly depends on conditions (i)-(iii) for all statistical models: for specific hours of day, models based on daily series outperform models based on hourly series, while in general predictability deteriorates with exposure level. The third essay is titled 'Agglomeration and infrastructure effects in land use regression models for air pollution – Specification, estimation, and interpretations'. It is written in co-authorship with Dr. Markus Fritsch and published in 2021 in Atmospheric Environment 253, 118337 (https://doi.org/10.1016/j.atmosenv.2021.118337). Abstract Established land use regression (LUR) techniques such as linear regression utilize extensive selection of predictors and functional form to fit a model for every data set on a given pollutant. In this paper, an alternative to established LUR modeling is employed, which uses additive regression smoothers. Predictors and functional form are selected in a data-driven way and ambiguities resulting from specification search are mitigated. The approach is illustrated with nitrogen dioxide (NO2) data from German monitoring sites using the spatial predictors longitude, latitude, altitude and structural predictors; the latter include population density, land use classes, and road traffic intensity measures. The statistical performance of LUR modeling via additive regression smoothers is contrasted with LUR modeling based on parametric polynomials. Model evaluation is based on goodness of fit, predictive performance, and a diagnostic test for remaining spatial autocorrelation in the error terms. Additionally, interpretation and counterfactual analysis for LUR modeling based on additive regression smoothers are discussed. Our results have three main implications for modeling air pollutant concentration levels: First, modeling via additive regression smoothers is supported by a specification test and exhibits superior in- and out-of-sample performance compared to modeling based on parametric polynomials. Second, different levels of prediction errors indicate that NO2 concentration levels observed at background and traffic/industrial monitoring sites stem from different processes. Third, accounting for agglomeration and infrastructure effects is important: NO2 concentration levels tend to increase around major cities, surrounding agglomeration areas, and their connecting road traffic network. The fourth essay is titled 'Outlier detection and visualisation in multi-seasonal time series and its application to hourly nitrogen dioxide concentration'. It is written in single authorship and has not been published yet. Abstract Outlier detection in data on air pollutant recordings is conducted to uncover data points that refer to either invalid measurements or valid but unusually high concentration levels. As air pollutant data is typically characterised by multiple seasonalities, the task of outlier detection is associated with the question of how to deal with such non-stationarities. The present work proposes a method that combines time series segmentation, seasonal adjustment, and standardisation of random variables. While the former two are employed to obtain subseries of homoskedastic data, the latter ensures comparability across the subseries. Further, the standardised version of the seasonally adjusted subseries represents a scaled measure for the outlyingness of each data point in the original time series from its mean and therefore forms a suitable basis for outlier detection. In an empirical application to data on hourly NO2 concentration levels recorded at a traffic monitoring site in Cologne, Germany, over the years 2016 to 2019, the common boxplot criterion is used to examine each standardised seasonally adjusted subseries for positive outliers. The results of the analyses are put into their natural temporal order and displayed in a heatmap layout that provides information on when single and sequential outliers occur. KW - Spatio-temporal modelling KW - time series analysis KW - regression KW - geostatistics KW - multiple seasonalities KW - environmental data KW - Statistik KW - Geostatistik KW - Umweltdaten Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-10539 ER -