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 - Zimmermann, Johanna Anita T1 - Taking the First Step on the Consumer Privacy Journey - Three Essays on Consumers' Privacy-Related Decision-Making N2 - Data has become a necessary resource for firm operations in the modern digital world, explaining their growing data gathering efforts. Due to this development, consumers are confronted with decisions to disclose personal data on a daily basis, and have become increasingly intentional about data sharing. While this reluctance to disclose personal data poses challenges for firms, at the same time, it also creates new opportunities for improving privacy-related interactions with customers. This dissertation advocates for a more holistic perspective on consumers’ privacy-related decision-making and introduces the consumer privacy journey consisting of three subsequent phases: pre data disclosure, data disclosure, post data disclosure. In three independent essays, I stress the importance of investigating data requests (i.e., the first step of this journey) as they represent a largely neglected, yet, potentially powerful means to influence consumers’ decision-making and decision-evaluation processes. Based on dual-processing models of decision-making, this dissertation focuses on both consumers’ cognitive and affective evaluations of privacy-related information: First, Essay 1 offers novel conceptualizations and operationalizations of consumers’ perceived behavioral control over personal data (i.e., cognitive processing) in the context of Artificial Intelligence (AI)-based data disclosure processes. Next, Essay 2 examines consumers’ cognitive and affective processing of a data request that entails relevance arguments as well as relevance-illustrating game elements. Finally, Essay 3 categorizes affective cues that trigger consumers’ affective processing of a data request and proposes that such cues need to fit with a specific data disclosure situation to foster long-term decision satisfaction. Collectively, my findings provide research and practice with new insights into consumers’ privacy perceptions and behaviors, which are particularly valuable in the context of complex, new (technology-enabled) data disclosure situations. KW - privacy KW - data control KW - gamification KW - dual processing KW - decision making Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-13761 ER - TY - THES A1 - Ihl, Andreas T1 - Four investigations of arising phenomena in contemporary work settings: the cases of mindfulness practices and crowdworking online platforms N2 - New arising phenomena in the occupational realm strongly shape contemporary work settings. These developments heavily affect how individuals work within and beyond organizational boundaries. Two phenomena associated with the changing nature of work have been especially prevalent in work settings and intensively discussed in public debates. First, organizations started to introduce mindfulness practices to their workforce. Rooted in spirituality and formerly used in clinical therapy, mindfulness is applied as a human resource development practice to train employees and managers to cope with the increased work intensification. Second, digitization and the importance of individualization opened up the path for work settings beyond organizational boundaries on crowdworking online platforms. On these online platforms, workers process tasks independently and remotely. Research just started to address the implications and meaning of mindfulness practices in organizations and the rise of crowdworking platforms. Several questions remain unanswered. This dissertation addresses unanswered but pressing questions related to these two phenomena shaping contemporary work settings. Structured in four essays the first two essays address the application and meaning of mindfulness practices. The first essay analyzes the meaning and interpretations of these new practices within organizations. The second essay takes contextual factors of the organizational environment into account and investigates their relevance for the successful implementation of mindfulness practices. The second two essays are dedicated to work attitudes and behavior on crowdworking online platform. Essay three captures individuals’ motivation for working on such platforms and their effects for workers’ work performance. The last essay deals with the role of professional crowdworking online communities in the work experience and asses the effects of social support in these communities on occupational identification, work meaningfulness and finally on work engagement. Each essay in this dissertation generates new insights on arising phenomena in contemporary work settings. They address several timely yet unanswered research questions for these rising phenomena and thereby offer a deeper and more nuanced understanding of the role mindfulness practices and crowdworking online platforms play in the context of the future of work. KW - Future of work KW - Work settings KW - Arising phenomena KW - Mindfulness practices KW - Crowdworking online platforms KW - Organisation KW - Organisationsverhalten KW - Arbeitsbeziehungen KW - Crowdworking KW - Digitalisierung KW - Achtsamkeit Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-8696 ER - TY - THES A1 - Nagel, Volker T1 - Three Essays on Moral Self-Regulation of Honesty and Impression Management N2 - In study 1 an introduction to the research on moral self-regulation is provided alongside with an explanation of the two manifestations of moral self-regulation: moral licensing and moral cleansing. At the core of the first study is an experiment which was designed to identify moral licensing and cleansing in the domain of honesty. The experiment merges relevant studies from social psychology and experimental economics. It assesses the question if moral self-regulation exists within the domain of honesty or more precisely, if the truth and lies are told in such a way as to balance each other out. After manipulating participants’ moral balances (either positively or negatively), rates of truth-telling are compared to a neutral baseline scenario. Since neither moral licensing nor moral cleansing is observed, the results provide no support to the initial hypothesis that moral self-regulation exists within the domain of honesty. Study 2 builds on these results and discusses possible reasons for the absence of moral self-regulation. The research on moral hypocrisy and self-concept maintenance are presented and discussed as possible explanations. In order to shed more light on participants’ behavior, a coding procedure is presented that was used on the dataset from study 1. This approach makes it possible to quantify participants’ handwritten stories that resulted from the moral manipulation in study 1 and gain more insights on how truth-telling and lying affect the moral balance. By analyzing (dis)honesty on a more detailed level, results show that participants tend to act consistent to what they revealed about themselves in their stories. Study 3 links together aspects of moral self-regulation, moral hypocrisy and impression management. The "looting game" is presented which lets participants loot money from a charity box being subject to altruistic punishment from observers. For their punishment decision observers are provided with a history of participants’ past actions. This design allows to assess how misconduct, punishment and the creation of a favorable impression interact and ultimately impact profits. The results indicate that moral cleansing, and not the desire to trick observers, is the reason for manipulation. Participants who loot money from the charity box do not expect to receive less punishment, rather they simply want to present a more favorable picture of themselves. On the other hand, observers fully account for the possibility of manipulation and tend to disregard a manipulated history. The looting game therefore brings the hypothesis into question that impressions are managed and manipulated to increase profits. KW - moral licensing KW - moral cleansing KW - dishonesty KW - self-image KW - altruistic punishment KW - Selbstevaluation KW - Ethik KW - Verhaltensökonomie KW - Theorie Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-2896 ER - TY - THES A1 - Buhtz, Katharina T1 - Mechanisms driving technology use in the context of digital inequality: A series of essays on the role of social influence, socio-cognitive processes, and socio-economic determinants N2 - This dissertation sets out to deepen our understanding on the causes and manifestations of digital inequality through the lens of technology adoption research. To this day, digital inequality remains an important and relevant societal issue. With the rapid proliferation of digital ICT over the last 20 years the nature of the phenomenon may have evolved from an access-based to an appropriation-based issue, yet its significance has not diminished. Again this backdrop, this dissertation aims to explore which mechanisms and factors influence why and how individuals use ICT in the context of digital inequality, and, in particular, what role social influence, socio-cognitive processes, and socio-economic determinants play. In a series of essays, this dissertation first develops a theoretical understanding of the concept of social influence, which plays an important role in determining whether and how individuals use a technology. Next, a process lens is adopted to explore the underlying mechanisms that drive individuals to disengage from a new technology and may lead to digital exclusion. Building on that, this dissertation examines how digital inequality manifests itself in the specific realm of e-commerce. This dissertation concludes with a practical perspective on the issue of digital inequality aimed at policy makers seeking to bridge the gap between digitally advantaged and disadvantaged users. Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-3667 ER - TY - THES A1 - Reinartz, Annika T1 - Digital Inequality and the Use of Information Communication Technology N2 - Ever since the inception of the Internet, researchers have been both, enthusiastic and concerned about the social implications of Internet-enabled digitization (DiMaggio, Hargittai, Neuman, & Robinson, 2001).In particular, the issue of unequal access to digital opportunities has garnered substantial research attention and has been termed ‘digital inequality’ (Hargittai & Hinnant, 2008; Hsieh, Rai, & Keil, 2008; Kvasny & Keil, 2006; Riggins & Dewan, 2005). Generally, digital inequality refers to the unequal opportunity and ability of individuals to profit from information communication technologies (ICT) (DiMaggio & Hargittai, 2001). The phenomenon of digital inequality has also been at the heart of public debates because in the light of the ongoing digitization using ICT actively is more and more becoming a prerequisite to fully participate in society. This thesis seeks to expand research on the complex and societally relevant phenomenon of digital inequality. Specifically, I aim to explore the following focal research question: How do individuals use ICTs and which mechanisms and factors influence individual use and non-use of ICTs in the context of digital inequality? Advancing our knowledge in this field is particularly relevant for the following reasons. First, while understanding all stages of digital inequality is essential for both, assessing the true severity of the phenomenon and developing measures to bridge it, a large part of research has so far focused on ICT access and adoption. Yet, if digital inequality eventually translates into inequality in ‘real life’ is determined by whether individuals can use ICTs to their advantage and benefit from digital opportunities. This thesis seeks to address this research gap by shifting the attention to the factors and mechanisms that drive individual differences in ICT appropriation as opposed to ICT access and adoption. Second, digital inequality research still stands to profit from a broader methodological foundation. In fact, most of what we know about digital inequality is based on the quantitative analysis of surveys and statistical data and might limit research in exploring and better understanding the more complex and multi-layered forms of digital inequality as evident in ICT appropriation. This thesis aims at strengthening the methodological foundation of digital inequality research and at generating new and rich insights by adopting so far underrepresented research methods, in particular qualitative and internet-enabled data tracking methodology. Third, digital inequality is an interdisciplinary research field and different insights haven been gained in a diverse range of academic disciplines. In this thesis I also seek to lay a sound theoretical foundation for my own research and the research of others by integrating these otherwise separate perspectives on digital inequality. Fourth, better understanding digital inequality and potential means to bridge it is of high societal relevance. Therefore, this thesis also aims at inferring implications not only for academic research but also for practitioners, in particular public policy makers. The thesis comprises four papers that seek to address the points outlined above. Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-3654 N1 - Please note that this is a cumulative doctoral thesis and that some of the papers have been written in co-authorship which is clearly outlined in the doctoral thesis ER - TY - THES A1 - Seidler, Anna-Raissa T1 - Changing for the Better? Essays on the Role of Institutional Logics and Information System in Organizational Sustainability Transformations N2 - An increasing number of companies report that eco-sustainable initiatives have a positive impact on firms’ economic performance and concurrently allow the combination of social and commercial goals by optimizing environmental and economic decisions simultaneously. These initiatives are considered an integral part of organizational sustainability transformations, which are a special case of multilayered, complex organizational change efforts that relate to environmental, organizational, and individual factors. Institutional logics and information systems (IS) have shown to be two important perspectives from which to explore mechanisms and processes central to organizational sustainability transformations. Institutional logics offer a unique perspective to investigate organizational change for sustainability because they provide a new approach to organizational change that incorporates macro structures, culture, and agency to explain how actions are enabled or constrained. It thus allows for insights into the complex and miscellaneous interplay of external and internal determinants that govern organizational transformation processes towards sustainability. By providing insights into institutional changes of practice and behaviors, an institutional logic perspective allows for a detailed analysis of organizational transformations. Within these change processes, IS have shown to be an efficient and pervasive tool to leverage sustainability by integrating human and technological factors. Since IS have become a key resource for the encouragement of organizational sustainability transformations, adopting an IS perspective allows for an understanding of mechanisms and processes that enable IS to foster sustainability in organizations. Thus, this dissertation draws on four studies by investigateing an institutional logic perspective as well as an IS perspective to explore organizational sustainability transformations and facilitate an in-depth understanding of organizational, human, and technological factors that encourage sustainability in organizational transformations. KW - Institutional Logics KW - Information Systems KW - Organizational Sustainability Transformations KW - Organizational Change KW - Informationssystem KW - Organisationswandel Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-6330 ER - TY - THES A1 - Schmid, Angelika T1 - Geographic and Social Space in Latent Factor Models - Four Essays N2 - Geography, social context, time, and cultural mindset are four (out of many) cornerstones of human interaction. When building statistical models, their consideration is vital: They all cause dependency between individual observations, violating assumptions of independence and exchangeability. While this can be problematic and inhibit the unbiased inference of parameters, it can also be a fruitful source of insights and enhance prediction performance. One class of models that serves to manage or profit from the presence of dependence is the class of latent variable models. This class of models assumes that the presence of non-explicit, unobserved causes of continuous or discrete nature can explain the observed correlations. Latent variable models explicitly take account of dependency, for example, by modeling an unobserved local source of pollution as a continuous spatial variable. Through their widespread use for information fitering, link prediction, and statistical inference, latent variable models have developed an essential impact on our daily life and the way we consume information. The four articles in this thesis shed light on assumptions, usage, and potential drawbacks of latent variable models in various contexts that involve geographic and interaction data. We model unobserved sources of pollution in geophysical data, explore individual taste and mindsets in cross-cultural contexts, and predict the evolution of social relationships in software development projects. This combination of various perspectives contributes to the interdisciplinary exchange of methodological knowledge on the modeling of dependent data. Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-7947 ER - TY - THES A1 - Bidler, Margarita T1 - Consumers' Privacy-Related Decision-Making in the Digital Landscape N2 - Nowadays, consumers are often required to disclose private data in various contexts such as while surfing the internet, downloading a mobile application, or engaging in a business relationship with a firm. Privacy-related decision-making research has so far mainly investigated data disclosure as a cognitive risk-benefit trade-off analysis. While this cognitive approach might be appropriate for situations where consumers have the opportunity for cognitive evaluations, there are many situations in the modern landscape where consumers cannot or do not want to engage in cognitive processing. Decision-making under stress or data disclosure to a business network of collaborating firms, for example, constitute challenges to purely cognitive decision-making approaches, calling for an extension of the established paradigm of cognitive privacy-related decision making. This dissertation advocates for the crucial role of affective processing in many modern data disclosure situations, where consumers do not engage in purely cognitive processing due to external hindrances or a lack of personal involvement in the data disclosure situation. KW - privacy-related decision-making Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-7996 ER - TY - THES A1 - Calmels, Dorothea T1 - Job Sequencing and Tool Switching Problems with a Generalisation to Non-Identical Parallel Machines N2 - Manufacturing tools have been dominating the manufacturing process since the 1960s. The job sequencing and tool switching problem is an NP-hard combinatorial optimization that has first been introduced in the context of flexible manufacturing systems in the late 1980s. Since then, production systems have undisputedly changed and improved but manufacturing tools still dominate manufacturing processes. Production and system operation processes are continuously adjusted and optimised to changing customer requirements. If the product variety requires an increasing number of tools for processing that exceeds the local tool magazine capacity of the manufacturing system, tool switches become necessary. Although tool changing times within a manufacturing centre or cell may nowadays be very small due to the high degree of automation, tool switching within a dynamic production environment is still a time consuming process that must be avoided. In order to minimize the total tool setup time to enhance productivity, the objectives of the basic job sequencing and tool switching problem are to sequence a set of jobs and simultaneously to determine the best tool loading. Therefore, job sequencing and tool switching problems are gaining considerable attention. Several solution approaches to the standard problem and related versions of the problem exist. The first part of this dissertation assesses the current state-of-the-art of the job sequencing and tool switching problem and provides a classification scheme for literature on the job sequencing and tool switching problem and its variations. Only few authors consider generalisations of the problem because the level of complexity of extended problems is high. A general approach of the job sequencing and tool switching problem with non-identical parallel machines and sequence-dependent setup times is described in this dissertation. A novel mathematical model based on time periods is presented and analysed which can be adapted to different objective functions. The last part of this dissertation is a quantitative evaluation of fast and effective construction heuristics as well as of an iterated local search algorithm tested on a new set of benchmark instances. As such this dissertation provides a broad basis for future evaluations of solution approaches to the job sequencing and tool switching problem with non-identical parallel machines and sequence-dependent setup times as well as a basis for further generalisations of the problem like for example tool availability constraints or tool-size dependent variations. Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:739-opus4-8436 ER -