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 - 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 - Reiter, Florence T1 - Die Rolle der Europawahl 2019 in der Online-Medienberichterstattung. Eine Blended Reading Analyse am Beispiel von Spiegel-Online JF - Zeitschrift für Politikwissenschaft N2 - Die quasi unbegrenzte Anzahl an frei verfügbaren Daten im Internet birgt für die politikwissenschaftliche Forschung große Chancen, aber auch methodische Herausforderungen. Letztere zeigen sich vor allem in der Erhebung,Speicherung und Verarbeitung von webbasierten Daten wie beispielsweise Medienwebsites, die wissenschaftlichen Standards entsprechen. Insbesondere intersubjektive Nachvollziehbarkeit und Reliabilität sollten im Umgang mit internetbasierten Daten gewährleistet werden können. Dabei ist es beispielsweise nicht ausreichend zur intersubjektiv nachvollziehbaren Erhebung die URL einer Webseite abzuspeichern. Die hohe Fluidität dieser Art von Daten kann dazu führen, dass die Webseite bereits wenige Minuten nach der Speicherung der URL nicht mehr dem Bild entspricht, das die Forscher*in zum Speicherzeitpunkt hatte. Webarchivierung zur Datenerhebung und -speicherung sowie der Blended Reading Ansatz zur Analyse dieser Datenmengen bieten vielversprechende Möglichkeiten für Forschende, mit diesen Herausforderungen umzugehen. Daher führt der vorliegende Beitrag eine exemplarische Analyse durch: Auf Basis von via Event-Crawl erhobenen Daten soll mit einem Blended Reading Ansatz analysiert werden, welche Rolle der Europawahl 2019 in der Online-Medienberichterstattung am Beispiel von Spiegel-Online zugeschrieben wird. Dabei geht es darum, an einem bewusst begrenzt gehaltenen Datensatz exemplarisch aufzuzeigen, über welches Potenzial die Durchführung dieser Methodenkombination verfügen und wie sie Forschung und Lehre bereichern kann. KW - Webarchivierung KW - Event-Crawl KW - Blended Reading KW - Europawahlen KW - Wahlkampfforschung Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2022081622245924254625 VL - 2022 IS - 32 SP - 839 EP - 864 PB - Springer Nature CY - Berlin 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 - INPR A1 - Pantaleón Osuna, Álvaro T1 - Climate change as a driver of migration? A comparative case study in eastern and northern Ghana N2 - Academic studies and media reports have pointed to climate change as a dominant factor responsible for future mass migrations from and within the Global South. In response to the deterministic nature of their estimates and predictions, this research explores the link that migrants establish between the environmental changes they experience and migration as a climate adaptation strategy. Furthermore, the overlaps between the profile and migratory behavior of those who manifest a greater presence of climate change in their migratory processes and their counterparts are analysed to identify potential unique climate migration patterns and practices. The quantitative analysis of data gathered in the context of the Mitra|WA project in Ghana's Eastern and Northern Regions in 2022 reveals that, while migration is not predominantly propelled by climate change climate, it does not constitute a new form of mobility demarcated from existing migration patterns and practices. This paper provides an opportunity to redirect future research towards the factors that determine the agency of individuals in response to climate hazards and to explore the role of climate change in a set of drivers of migration in a West African setting. T3 - Migration, translocality and development in times of climate change. Mitra|WA Working Paper Series - 1 KW - Environmental change KW - Adaption strategies KW - Climate-induced migration KW - Drivers of migration KW - Translocality Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-14585 IS - 1 CY - Passau ER - TY - THES A1 - Schwind, Mara T1 - „Insgesamt sah ich wirklich die Wellen an mir vorbeirauschen, mich darin befindend“ - Die Folgen negativer Reaktionen gegen Wissenschaftler*innen in den sozialen Medien N2 - Wissenschaftler*innen werden immer häufiger zum Ziel von Kritik, Anfeindungen und Ähnlichem in den sozialen Medien. Die Studie nimmt die reziproken Effekte dieser negativen Reaktionen in den Blick. Konkret wird untersucht, mit welchen Arten negativer Reaktionen Wissenschaftler*innen konfrontiert werden, welche mentalen Verarbeitungs- und Bewertungsprozesse in diesem Kontext relevant sind und wie die Betroffenen mit den negativen Reaktionen anschließend umgehen, um die entstandene Belastungssituation zu bewältigen. Neben der theoretischen Aufarbeitung der Thematik wird dafür auf qualitative Leitfadeninterviews mit betroffenen Wissenschaftler*innen zurückgegriffen. Die Erkenntnisse der Studie werden in einem „Modell der Konfrontation mit negativen Reaktionen in den sozialen Medien“ zusammengeführt. Das Modell ermöglicht zum einen die strukturierte Beschreibung entsprechender Vorfälle und kann zum anderen als theoretisch-konzeptionelle Grundlage für weitere empirische Untersuchungen dienen. KW - qualitative Leitfadeninterviews KW - Hate Speech KW - Wissenschaftler*innen in den sozialen Medien KW - Kritik, Anfeindungen und Hass gegenüber Wissenschaftler*innen Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15627 ER - TY - THES A1 - Faltermaier, Stefan T1 - A Sociotechnical Perspective on Digital Transformation of Work in Organizations, on Platforms, and in Academia N2 - The findings of this dissertation reveal that digital transformation in the workplace accelerates ongoing changes in work practices, leading to transformations in organizations on both social and technological levels (study one). A key challenge identified in our case from study one is that highly virtual and digital work environments can undermine the integration of new employees and weaken organizational cohesion, resulting in more isolated work that tends to occur either individually or in small groups. In completely detached work settings (study two), our findings emphasize the prevalence of negative work experiences - frustration in our case – and the central role of both social and technical antecedents. Work settings devoid of any organizational framework, such as microtask crowd work, show an even greater detachment from shared values and structures compared to study one, posing significant challenges for the workers involved. These challenging conditions for individuals and organizations highlight the necessity for further research and the development of innovative theories to better comprehend these dynamics, and to devise strategies to manage these challenges effectively. Studies three and four build on this premise. In these studies, within the context of the digital transformation of academic work, we demonstrated how ML combined with XAI applications can be employed in theory development. KW - Digital Transformation of Work KW - Hybrid Work KW - Online Labor Platforms KW - Artificial Intelligence KW - Explainable Artificial Intelligence Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15233 ER - TY - THES A1 - Sawhney, Udit T1 - Incentivizing Sustainable Agriculture in Indonesia: Empirical Essays on the Role of Social Norms and Information Provision N2 - The Green Revolution (GR) was one of the most transformative events in modern agricultural history. It was characterized by the widespread adoption of high-yield crop varieties, synthetic fertilizers and pesticides, and advanced irrigation systems. By significantly increasing agricultural productivity, the GR responded to global food shortages and hence played a crucial role in educing hunger, particularly in developing economies. However, while the GR alleviated food insecurity and stimulated economic development, it also brought about several unintended consequences like environmental degradation, as well as, widening socio-economic inequalities. Farmers, particularly in South and Southeast Asia, indulged heavily in fertilizer overapplication, which led to declining soil health and long-term sustainability concerns. Recognizing these challenges, the United Nations’ Sustainable Development Goals (SDGs) placed significant emphasis on sustainable agriculture, particularly through SDG - 2, which seeks to end hunger and promote sustainable food production. In line with these efforts, there has been a growing movement by several countries and international organizations towards promoting sustainable agricultural practices that balances agricultural productivity with environmental conservation. This dissertation contributes to this discourse on sustainable agriculture by examining key socio-economic factors that influence the adoption of sustainable farming practices among smallholder farmers in Indonesia. Indonesia’s agricultural landscape, particularly its rice farming sector, has been shaped by decades of Green Revolution policies, with Java serving as a focal point for agricultural intensification. While these policies led to impressive yield increases and national self-sufficiency in rice production by the mid-1980s, they also resulted in several environmental and economic challenges, including excessive use of chemical fertilizers, soil nutrient imbalances, and long-term land degradation. In response, the Indonesian government introduced several sustainability-focused policies, including Integrated Pest Management (IPM), Farmer Field Schools (FFS), and the “Go Organic 2010” initiative. Despite these efforts, adoption of sustainable farming practices remains limited, raising critical questions about the barriers that prevent smallholder farmers from transitioning away from intensive chemical input use. The dissertation focuses on three interrelated research questions that explore the role of social networks, information provision, and economic incentives in shaping farmers’ decisions regarding sustainable agriculture. These questions are addressed through a combination of mixed-methods research and randomized controlled trials (RCTs) conducted in Java, specifically in the regions of Yogyakarta and Tasikmalaya. The first research question investigates whether and how social networks and peer effects influence farmers’ input decisions, particularly regarding fertilizer application. This study builds on existing literature on social networks in agriculture and examines the extent to which perceptions of farming norms - the visible greenness levels of rice plants - affect farmers’ willingness to adopt more sustainable practices. Using a mixed-methods approach, including survey experiments and social network analysis, the study finds that personal opinions about the importance of plant greenness significantly influence farmers’ input decisions. However, second-order perceptions - farmers’ beliefs about how others in their farming network think about their farming choices - do not play a decisive role in shaping actual adoption behaviour. This finding contrasts with previous studies that emphasize the role of social pressure in agricultural decision-making, suggesting that while social learning plays an important role, it does not always operate through peer-effect mechanisms. The results highlight the complexity of social influences in agricultural adoption decisions and the need for more nuanced approaches to integrating behavioural insights into policy interventions. The second research question investigates the role of information provision, particularly about site-specific nutrition, in promoting sustainable soil management practices among smallholder farmers. A large-scale RCT was conducted in 69 villages to assess whether targeted agricultural extension trainings, along with soil testing services, can drive farmers’ adoption of sustainable soil management practices. Villages were randomly assigned to - a treatment group (T1) that received one-day training on soil health management, a second treatment group that received both training and soil tests (T2), and a control group. The study reveals that while training sessions increased awareness and adoption of simple sustainable practices - such as the use of the Leaf Colour Chart (LCC) - there was limited impact on broader behavioural changes, such as the adoption of organic fertilizers or precision fertilizer application. However, the additional provision of soil testing led to measurable reductions in nitrogen fertilizer use while simultaneously increasing yields, demonstrating the potential for personalized, site-specific soil nutrient recommendations to improve both economic and environmental outcomes. A cost-benefit analysis reveals that additional day of soil testing training resulted in an average economic gain of USD 15.71 per farmer and also reduced CO2 emissions by approximately 2 kg per farmer. These findings highlight the potential for scalable, information-based interventions as well as the need for sustained follow-up support to reinforce behavioural changes among farmers. The third research question explores farmers’ willingness to pay (WTP) for soil testing services and compares two different market-dissemination models - a private service model (where farmers purchase individual soil tests) and a collective (club good) model (where farmer groups collectively purchase a soil testing kit). Using an incentive-compatible auction based on the Becker- eGroot-Marschak (BDM) method, the study finds that farmers are willing to pay approximately 43% of the actual cost of soil tests, indicating strong demand for personalized soil fertility information. Furthermore, there is no significant difference in WTP between the private and club good models, suggesting minimal free-riding behaviour within farmer groups. The qualitative data further suggests that group-based models foster a sense of joint responsibility and knowledge-sharing, making them a viable alternative to individual service provision. A deeper analysis reveals that while private service models are more effective in low-subsidy environments, club good models become preferable when subsidies are higher, offering valuable insights into cost-sharing mechanisms for agricultural policy design. Taken together, the findings of this dissertation have important implications for policymakers seeking to promote sustainable agricultural practices in developing economies. First, the dissertation highlights the nuanced role of social networks in shaping farmers’ adoption decisions, suggesting that interventions targeting social learning should account for the complexity of social networks and peer influence mechanisms. Second, the dissertation underscores the importance of integrating soil testing and personalized information into agricultural extension programs, as site-specific soil nutrient recommendations can enhance both farming productivity as well as environmental sustainability. Third, the study provides empirical evidence on cost-effective ways to scale up soil testing services, demonstrating that well- esigned market-dissemination strategies can increase farmers’ access to sustainability-enhancing technologies while maintaining financial viability. Beyond its immediate policy relevance, this dissertation also contributes to broader theoretical debates in development economics, agricultural economics, and environmental sustainability. By integrating experimental research methods, the dissertation advances understanding of how farmers make technology adoption decisions under conditions of uncertainty and social influence. Additionally, the study provides a methodological contribution by demonstrating the effectiveness of combining RCTs with qualitative approaches to capture the complexities of real-world decision-making. Despite its contributions, the dissertation also identifies several avenues for future research. One key limitation is that the analysis focuses primarily on short - to medium-term impacts, leaving open questions about the long-term sustainability of behaviour change. Future studies should explore whether farmers continue to adopt sustainable practices once external support is removed. Additionally, further research is needed to examine the role of digital agricultural advisory services, mobile-based soil testing platforms, and remote sensing technologies in complementing traditional extension services. Finally, more work is needed to explore the broader policy ecosystem surrounding agricultural sustainability, including the role of subsidies, market linkages, and certification schemes in incentivizing long-term adoption. In conclusion, this dissertation provides a comprehensive analysis of the social, informational, and economic factors that drive sustainable agricultural transitions in Indonesia. By offering evidence-based insights into the design of more effective extension programs, market dissemination strategies, and cost- haring mechanisms, it contributes to ongoing efforts to create more resilient and environmentally sustainable food systems. The findings are not only relevant for Indonesia but also offer valuable lessons for other developing economies that are facing the challenge of balancing agricultural productivity with sustainability. KW - Economics KW - Development Economics KW - Agricultural Economics KW - Randomized Controlled Trials Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-16095 ER - TY - JOUR A1 - Lukasczyk, Stephan A1 - Kroiß, Florian A1 - Fraser, Gordon T1 - An empirical study of automated unit test generation for Python JF - Empirical Software Engineering N2 - Various mature automated test generation tools exist for statically typed programming languages such as Java. Automatically generating unit tests for dynamically typed programming languages such as Python, however, is substantially more difficult due to the dynamic nature of these languages as well as the lack of type information. Our P YNGUIN framework provides automated unit test generation for Python. In this paper, we extend our previous work on P YNGUIN to support more aspects of the Python language, and by studying a larger variety of well-established state of the art test-generation algorithms, namely DynaMOSA, MIO, and MOSA. Furthermore, we improved our P YNGUIN tool to generate regression assertions, whose quality we also evaluate. Our experiments confirm that evolutionary algorithms can outperform random test generation also in the context of Python, and similar to the Java world, DynaMOSA yields the highest coverage results. However, our results also demonstrate that there are still fundamental remaining issues, such as inferring type information for code without this information, currently limiting the effectiveness of test generation for Python. KW - Dynamic typing KW - Python KW - Automated Test Generation Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2023081721042349746457 VL - 28 IS - 1 SP - 1 EP - 46 PB - Springer Nature CY - Berlin ER - TY - JOUR A1 - Trautsch, Alexander A1 - Erbel, Johannes A1 - Herbold, Steffen A1 - Grabowski, Jens T1 - What really changes when developers intend to improve their source code: a commit-level study of static metric value and static analysis warning changes JF - Empirical Software Engineering KW - Static code analysis KW - Quality evolution KW - Software metrics KW - Software quality Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2023032321174386000821 VL - 28 IS - 2 SP - 1 EP - 40 PB - Springer Nature CY - Berlin ER - TY - JOUR A1 - Mironchenko, Andrii T1 - Well-posedness and properties of the flow for semilinear evolution equations JF - Mathematics of Control, Signals, and Systems N2 - We derive conditions for well-posedness of semilinear evolution equations with unbounded input operators. Based on this, we provide sufficient conditions for such properties of the flow map as Lipschitz continuity, bounded-implies-continuation property, boundedness of reachability sets, etc. These properties represent a basic toolbox for stability and robustness analysis of semilinear boundary control systems. We cover systems governed by general C0 -semigroups, and analytic semigroups that may have both boundary and distributed disturbances. We illustrate our findings on an example of a Burgers’ equation with nonlinear local dynamics and both distributed and boundary disturbances. KW - Well-posedness KW - Evolution equations KW - Boundary control systems KW - Infinite-dimensional systems KW - Analytic systems Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2024022307494197431619 VL - 36 IS - 3 SP - 483 EP - 523 PB - Springer Nature CY - Berlin ER - TY - JOUR A1 - Herbold, Steffen A1 - Tunkel, Steffen T1 - Differential testing for machine learning: an analysis for classification algorithms beyond deep learning JF - Empirical Software Engineering N2 - Differential testing is a useful approach that uses different implementations of the same algorithms and compares the results for software testing. In recent years, this approach was successfully used for test campaigns of deep learning frameworks. There is little knowledge about the application of differential testing beyond deep learning. Within this article, we want to close this gap for classification algorithms. We conduct a case study using Scikit-learn, Weka, Spark MLlib, and Caret in which we identify the potential of differential testing by considering which algorithms are available in multiple frameworks, the feasibility by identifying pairs of algorithms that should exhibit the same behavior, and the effectiveness by executing tests for the identified pairs and analyzing the deviations. While we found a large potential for popular algorithms, the feasibility seems limited because, often, it is not possible to determine configurations that are the same in other frameworks. The execution of the feasible tests revealed that there is a large number of deviations for the scores and classes. Only a lenient approach based on statistical significance of classes does not lead to a huge amount of test failures. The potential of differential testing beyond deep learning seems limited for research into the quality of machine learning libraries. Practitioners may still use the approach if they have deep knowledge about implementations, especially if a coarse oracle that only considers significant differences of classes is sufficient. KW - Machine learning KW - Software testing KW - Differential testing Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2023033121421148821912 VL - 28 IS - 2 SP - 1 EP - 38 PB - Springer Nature CY - Berlin ER - TY - JOUR A1 - Rudolf, Daniel A1 - Schär, Philip T1 - Dimension-independent spectral gap of polar slice sampling JF - Statistics and Computing N2 - Polar slice sampling, a Markov chain construction for approximate sampling, performs, under suitable assumptions on the target and initial distribution, provably independent of the state space dimension. We extend the aforementioned result of Roberts and Rosenthal (Stoch Model 18(2):257–280, 2002) by developing a theory which identifies conditions, in terms of a generalized level set function, that imply an explicit lower bound on the spectral gap even in a general slice sampling context. Verifying the identified conditions for polar slice sampling yields a lower bound of 1/2 on the spectral gap for arbitrary dimension if the target density is rotationally invariant, log-concave along rays emanating from the origin and sufficiently smooth. The general theoretical result is potentially applicable beyond the polar slice sampling framework. KW - MCMC KW - Slice Sampling KW - Spectral gap Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2024011821064231531382 VL - 34 IS - 1 PB - Springer Nature CY - Berlin ER - TY - JOUR A1 - Weißgerber, Thomas A1 - Ben Amor, Mehdi A1 - Fellicious, Christofer A1 - Granitzer, Michael T1 - PyPads: Transparent Machine Learning Experiment Tracking JF - Datenbank-Spektrum N2 - Despite algorithmic advancements in the field of machine learning, a need for improvement in the infrastructure supporting machine learning development and research has become increasingly apparent. Machine learning experiments usually tend to be more ad-hoc in nature, and results are communicated most often in the form of a publication. Experimental details are often omitted due to size or time constraints, or simply because the complexity in terms of technical setup or parametrization became intractable. Even access to code bases, disregard important properties of the environment and experimental setup, like for example random generators or computing infrastructure. At the same time, tracking and communicating an often inherently exploratory scientific process is a task with considerable effort. We explored different venues to tackle these issues from a data science engineering point of view. The efforts resulted in PyPads, a framework providing an infrastructure to extend experimental setups with logging, communication and analysis features in a mostly non-intrusive way. PyPads can be extended to different Python-based frameworks, utilizing community driven, descriptive metadata in an effort to harmonize library specific logs in an ontology. Meanwhile, we also try to emphasize similarities to practices in software engineering, which have turned out to be essential in practical applications. KW - Machine Learning KW - Reproducibility KW - Open Science KW - Automated Logging KW - Python Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2024021511222778687954 VL - 24 IS - 1 SP - 53 EP - 62 PB - Springer Nature CY - Berlin ER - TY - THES A1 - Wharton, David T1 - Language, Orthography and Buddhist Manuscript Culture of the Tai Nuea - an apocryphal jātaka text in Mueang Sing, Laos N2 - The focus of this study is a single manuscript in a Tai Nuea village near Mueang Sing in northwestern Laos, copied in 1935 and entitled Pukthanusati (Pali buddhānussati) ‘the Recollection of the Buddha.’ It is written in the Tai Nuea language and Lik Tho Ngok or ‘Bean Sprout’ script, and is in the form of a jātaka or narrative story of a former lifetime of the Buddha, the most popular genre for recitation. The thesis examines the lay manuscript culture of which it is a part and the language and orthography of its contents, and then provide a phonemic transcription and annotated English translation of the text together a complete glossary of terms and images of the manuscript. The detailed study of this one manuscript is used as an entry point for a broader investigation of Lik manuscript culture as found in Mueang Sing today, including the distinct roles of the Lik and Tham orthographies, scribal vocation, manuscript production, uses and functions, and the contents of the texts. The Pukthanusati text is then the basis for examination of phonological aspects of language use in the recitation of Lik manuscript literature and the historical context of the dialect’s phonemes as well as Burmese and Indic forms occurring as loanwords. The Lik Tho Ngok orthography is also placed in context through an overview of its historical development, including possible prototypes and phonological influences, the twentieth century reforms of some traditional orthographies and the question of orthographic depth. The Lik Tho Ngok orthography as found in the manuscript studied is then described in detail, with tables and accompanying notes illustrating the inventories of consonant and vowel glyphs, consonant clusters, ligatures and special orthographic forms, use of subscripts and superscripts, numerals, punctuation, and the Tai Nuea spelling system. The phonemic transcription and annotated English translation of the text illustrate the rhyming structure and other features of specialised language use in Lik manuscript culture. The Tai Nuea and a number of closely related Tai groups have generally been overlooked in the field of Buddhist Studies. The study of this manuscript culture therefore contributes to our understanding of local practices on the northern periphery of Theravāda Buddhist influence in mainland Southeast Asia in addition to responding to an urgent need to examine and document this endangered scribal tradition and it specialised use of language and orthography. KW - Southeast Asia KW - Buddhism KW - Tai KW - Tai Nuea KW - Mueang Sing KW - Laos KW - Manuscript KW - Jataka KW - Apocryphal jataka KW - Linguistics KW - Orthography KW - Lik script KW - Literature KW - Buddhistische Literatur KW - Handschrift KW - Tai-Dehung KW - Linguistik Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-5236 ER - TY - THES A1 - Dwi Laksmana, Dimas T1 - Knowledge in the making : embodying transdisciplinary moments on organic agriculture in Yogyakarta, Indonesia N2 - Organic agriculture in Java, Indonesia, has been historically intertwined with social movements that struggled for more economically, ecologically, culturally, and socially sustainable agriculture. While these grassroots movements emerged under an authoritarian government that showed little interest in organic agriculture, the turn of the 21st century saw the rapid involvement of the Indonesian government in supporting, regulating and, arguably, commodifying organic agriculture. Institutionalization triggered diverse responses from competing organic actors, reflecting their different standpoints and knowledges. In this context, a transdisciplinary approach is deemed suitable to provide context-specific insights into organic agriculture. This dissertation draws on anthropology and Science and Technology Studies (STS) to explore the politics of knowledge of organic agriculture in Yogyakarta, Indonesia, as a contribution to a critique of transdisciplinarity. My interest on the hierarchization of different knowledges is inspired by the work of anthropologists of knowledge that asks how the communities they study construct knowledge and how they themselves construct knowledge about these communities. Since transdisciplinary knowledge is co-produced by science and society and reflects their embedded power relations, transdisciplinary research needs to be open to different interpretations, and reflexive towards the unequal distribution of resources, accountability, and responsibility. By linking these two lines of thought, I examine the making of knowledges through reflexive transdisciplinary work. I reflect on how “epistemic living space” (Felt 2009) and “co-presence” (Chua 2015) affect research and shape the politics of knowledge of organic agriculture in Yogyakarta, Indonesia. I argue that the hierarchization of different knowledges of organic agriculture was intertwined with my shifting positionalities, as a field researcher in Indonesia and PhD student at Passau University, as I moved between these two different “field sites”. This cumulative dissertation is divided into two parts. In Part I, “Knowledge in the making”, I present my contributions towards transdisciplinary knowledge production and politics of knowledge of organic agriculture. Part II, “Publications”, comprises the three stand-alone papers. The first contribution is my formulation of the notion of knowledge in the making. The second is my exploration of the ways that reflexive transdisciplinary work, and living and intersubjective experience shape knowledge in the making. The third is my demonstration of how an understanding of knowledge in the making sheds lights on the politics of knowledge of organic agriculture. This approach serves to examine the politics involved in synthesizing the conceptualizations of organic agriculture employed by different actors into one overarching narrative, such as sustainable agriculture or alternative agriculture. My final contribution is the notion of transdisciplinary moments, a conceptualization of transdisciplinary research practice that accounts for the politics of knowledge in which both scientific and extra-scientific actors are embedded. As a conclusion, I share the lessons learned from pursuing a PhD as a cumulative dissertation in an unstructured setting within a German–Indonesian research project on Indonesian organic agriculture. Finally, I identify bodies of literature and strands of thinking for future engagement within transdisciplinary research and discuss their potential to contribute to radical change in the institutional and value structures of contemporary academia. KW - politics of knowledge KW - epistemic living space KW - STS Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-12667 CY - Passau ER - TY - THES A1 - Mexis, Nico T1 - A Comprehensive Comparison of Fuzzy Extractor Schemes Employing Different Error Correction Codes N2 - This thesis deals with fuzzy extractors, security primitives often used in conjunction with Physical Unclonable Functions (PUFs). A fuzzy extractor works in two stages: The generation phase and the reproduction phase. In the generation phase, an Error Correction Code (ECC) is used to compute redundant bits for a given PUF response, which are then stored as helper data, and a key is extracted from the response. Then, in the reproduction phase, another (possibly noisy) PUF response can be used in conjunction with this helper data to extract the original key. It is clear that the performance of the fuzzy extractor is strongly dependent on the underlying ECC. Therefore, a comparison of ECCs in the context of fuzzy extractors is essential in order to make them as suitable as possible for a given situation. It is important to note that due to the plethora of various PUFs with different characteristics, it is very unrealistic to propose a single metric by which the suitability of a given ECC can be measured. First, we give a brief introduction to the topic, followed by a detailed description of the background of the ECCs and fuzzy extractors studied. Then, we summarise related work and describe an implementation of the ECCs under consideration. Finally, we carry out the actual comparison of the ECCs and the thesis concludes with a summary of the results and suggestions for future work. N2 - Diese Arbeit befasst sich mit Fuzzy Extractors, Sicherheitsprimitiven, die häufig in Verbindung mit Physical Unclonable Functions (PUFs) verwendet werden. Ein Fuzzy Extractor arbeitet in zwei Phasen: Der Generierungsphase und der Reproduktionsphase. In der Generierungsphase wird ein Fehlerkorrekturverfahren (ECC) verwendet, um redundante Bits für eine gegebene PUF-Antwort zu berechnen, die dann als Hilfsdaten gespeichert werden, und ein Schlüssel wird aus der Antwort extrahiert. In der Reproduktionsphase kann dann eine andere (möglicherweise verrauschte) PUF-Antwort zusammen mit diesen Hilfsdaten verwendet werden, um den ursprünglichen Schlüssel zu extrahieren. Es ist klar, dass die Leistung des Fuzzy Extractors stark von der Leistung des zugrunde liegenden ECC abhängt. Daher ist es unerlässlich, ECCs in Verbindung mit Fuzzy Extractors zu vergleichen, um sie für eine bestimmte Situation so geeignet wie möglich zu machen. Es ist wichtig, darauf hinzuweisen, dass es aufgrund der Vielzahl verschiedener PUFs mit unterschiedlichen Eigenschaften sehr unrealistisch ist, eine einzige Metrik vorzuschlagen, mit der die Eignung eines bestimmten ECCs gemessen werden kann. Wir beginnen mit einer kurzen Einführung in das Thema, gefolgt von einer detaillierten Beschreibung des Hintergrunds der untersuchten ECCs und Fuzzy Extractors. Anschließend fassen wir verwandte Arbeiten zusammen und beschreiben eine Implementierung der untersuchten ECCs. Schließlich führen wir den eigentlichen Vergleich der ECCs durch und schließen die Arbeit mit einer Zusammenfassung der Ergebnisse und Vorschlägen für zukünftige Arbeiten ab. T2 - Ein umfassender Vergleich von Fuzzy Extractors unter Verwendung verschiedener Fehlerkorrekturverfahren KW - Fuzzy extractor KW - Error correction KW - Vorwärtsfehlerkorrektur KW - Codierungstheorie KW - Physical unclonable function KW - Biometrie Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-12914 VL - 2023 ER - TY - JOUR A1 - Erdogan, Gülsah A1 - Hassen, Wiem Fekih T1 - Charging scheduling of hybrid energy storage systems for EV charging stations JF - Energies N2 - The growing demand for electric vehicles (EV) in the last decade and the most recent European Commission regulation to only allow EV on the road from 2035 involved the necessity to design a cost-effective and sustainable EV charging station (CS). A crucial challenge for charging stations arises from matching fluctuating power supplies and meeting peak load demand. The overall objective of this paper is to optimize the charging scheduling of a hybrid energy storage system (HESS) for EV charging stations while maximizing PV power usage and reducing grid energy costs. This goal is achieved by forecasting the PV power and the load demand using different deep learning (DL) algorithms such as the recurrent neural network (RNN) and long short-term memory (LSTM). Then, the predicted data are adopted to design a scheduling algorithm that determines the optimal charging time slots for the HESS. The findings demonstrate the efficiency of the proposed approach, showcasing a root-mean-square error (RMSE) of 5.78% for real-time PV power forecasting and 9.70% for real-time load demand forecasting. Moreover, the proposed scheduling algorithm reduces the total grid energy cost by 12.13%. KW - scheduling optimization KW - HESS KW - PV power KW - load demand KW - RNN KW - LSTM KW - GRU KW - cost reduction Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-14128 VL - 2023 IS - 16 PB - MDPI CY - Basel 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 - RPRT A1 - Ejiba, Ikenna V. A1 - Olajide, Adeola O. ED - Ungruhe, Christian ED - Wehner, Stefanie T1 - Does translocality influence climate change adaption of rural farming households? : evidence from Arochukwu, southeast Nigeria N2 - Impacts of climate change are a burden for many rural communities in the global south, and particularly affect vulnerable farming households, that depend on agriculture for their sustenance. Understanding how vulnerable rural migrant households respond to this, from a translocal perspective can help to build households’ resilience to climate change. While studies in Nigeria have assessed the impact of migration as a means of adaptation, studies assessing the influence of vulnerable households, using this approach is limited. This study therefore assessed how translocality influence adaptation to climate change, for vulnerable rural households in Arochukwu, southeast Nigeria. To achieve this objective, a multistage purposive random sampling technique was used to collect data from rural farm households. Primary data were collected from the households in the Area of Origin (AoO) and Area of Destination (AoD) using survey and interviews, and analysed using mixed methods analysis. Results indicate that rainfall variability and high temperature are the most risks encountered, resulting in crop losses. As a means of adaptation, migrant and non-migrant households engage in off-season migration to urban and rural areas, with more migrant households engaging in off-season rural-urban and rural-rural migration. Among migrant households, flow of resources occur, with the type of item determining the medium of exchange; while households in the AoO pay less attention to agricultural investment. Migrant and non-migrant households also differ significantly in terms of the number of adaptation measures employed. Findings from the empirical analysis on the influence of translocality on adaptation indicate that, perception of climate change, household size, and the transfer of ideas, knowledge, and innovation by migrants to their households in the AoO significantly influence adaptation of rural farming households. The research makes a case for consideration of translocality in national adaptation plans, aimed at building resilience of rural households in Southeast Nigeria. T3 - Migration, translocality and development in times of climate change. Mitra|WA Working Paper Series - 5 KW - Climate Change KW - Vulnerability KW - Translocality KW - Migration KW - Adaption KW - Southeast Nigeria Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-15773 IS - 5 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 - BOOK A1 - Rottgeri, André T1 - Interpretationen & Konflikte in der Populären Musik - Heino, Gainsbourg, Hendrix und die Seleção : eine interdisziplinäre Untersuchung mit Blick auf die Namenkunde N2 - - KW - Populäre Musik KW - Popular Music Studies KW - Populäre Musik Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-18648 ER - TY - THES A1 - Lehner, Constanze T1 - Three Essays on the Interpretability of Random Forests: Methods, Insights, and Innovations N2 - This thesis examines the interpretability of random forests in three essays, focusing on the discussion of established methods, the presentation of new insights and the provision of innovations. The research aims to bridge the gap between traditional statistical methods and random forests, a data-driven machine learning algorithm, by investigating the ability of random forests to adequately model theoretical concepts compared to parametric methods and developing a new approach for statistical hypothesis testing. The results have implications for various areas of research in which interpretability is crucial for applications. The next three paragraphs summarize the studies presented in this thesis. The ability of random forests to automatically model interactions without the need for pre-specification is mentioned prominently in many articles and book chapters. Promising empirical results from early work on random forests have substantiated this property, which has led to an increasing popularity of using random forests in the presence of interactions as an alternative to traditional parametric methods. This study reviews the literature of the last 20 years on random forests and interactions. We explore the discussion from its origin in the decision tree literature to early applications of random forests and current research. We identify key research areas and illustrate random forest applications to highlight similarities and differences between disciplines. We also provide a critical examination of the arguments in favor of random forests being able to model interactions automatically. Since the term ``interaction'' is associated with different theoretical concepts, we explain and illustrate the definition of interaction for each research area. The variable importance of random forests is an easy-to-understand metric that intends to make the predictions of random forests more transparent by assessing the contribution of each covariate to the prediction of the response. However, due to its data-driven nature, the variable importance of random forests may over- or underestimate the importance of a covariate, so that the role of the covariate in the underlying data generating process is not correctly reflected. We present an example of underestimation of importance in the case of interacting covariates. We define an interaction in terms of effect modification, which assumes that the effect of one covariate on the response is modified by values of another covariate. We show that the variable importance of random forests is influenced by the interaction form and the measurement scale of the interacting covariates, so that in some cases the importance of one or even both interacting covariates is underestimated. We illustrate how the split decisions of random forests affect the variable importance values of the interacting covariates. Variable importance estimates the contribution of a covariate to the performance of a predictive algorithm. Defined as the increase in loss after the random permutation of a covariate, permutation variable importance makes it possible to rank the covariates by importance, but in the absence of a threshold, the distinction between important and unimportant covariates is inherently arbitrary. We show that recent approaches of non-parametric permutation tests for variable importance exceed their nominal type I error level for mutually dependent covariates. As an alternative we propose a combined variable importance estimate on a sequence of permutations and employ a computationally more efficient bootstrap to derive the respective null distribution and $p$-values. The proposed test can be applied to any predictive algorithm and is remarkably fast. We investigate the control of type I error level and the power of the proposed variable importance test in simulation studies. Even for mutually dependent covariates, our test is conservative and provides power comparable to recent advances in non-parametric permutation tests of variable importance. This study was conducted in collaboration with Matthias Wild. KW - Random Forests KW - Interactions KW - Variable Importance KW - Permutation Test Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-18608 ER - TY - GEN A1 - Schuster, Jennifer A1 - Kott, Annette A1 - Bauer, Christoph A1 - Groß, Rainer T1 - Kennzahlenkatalog Green IT an bayerischen Hochschulen N2 - "Der vorliegende, mit den bayerischen Hochschulen und Universitäten abgestimmte Kennzahlenkatalog für Green IT, dient als Grundlage, um einheitlich Kennzahlen für die bayerischen Rechenzentren zu erfassen und damit einen nachhaltigen IT-Betrieb der Hochschulen zu unterstützen. Durch die Implementierung und Erfassung dieser Kennzahlen werden, die ökologischen Auswirkungen der IT messbargemacht. Dies ermöglicht die Wirksamkeit von Maßnahmen quantitativ zu überprüfen und den IT-Betrieb in eine ökologisch nachhaltige Richtung zu steuern. Im Rahmen des Energieeffizienzgesetzes wird das Einsparen von Energie und Treibhausgasen auch für Hochschulen zunehmend verbindlicher. Der Katalog beschreibt die im Energieeffizienzgesetz geforderten Kennzahlen, enthält eine strukturierte Vorgehensweise zur Implementierung und unterstützt dabei die gesetzlichen Anforderungen einzuhalten." (S. III) KW - Informationstechnologie KW - Rechenzentrum KW - Hochschulen KW - Energieeffizienzgesetz Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-18675 ER -