@phdthesis{Panzer2024,
  author    = {Panzer, Marcel},
  title     = {Design of a hyper-heuristics based control framework for modular production systems},
  doi       = {10.25932/publishup-63300},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-633006},
  school      = {Universit{\"a}t Potsdam},
  pages     = {vi, 334},
  year      = {2024},
  abstract  = {Volatile supply and sales markets, coupled with increasing product individualization and complex production processes, present significant challenges for manufacturing companies. These must navigate and adapt to ever-shifting external and internal factors while ensuring robustness against process variabilities and unforeseen events. This has a pronounced impact on production control, which serves as the operational intersection between production planning and the shop- floor resources, and necessitates the capability to manage intricate process interdependencies effectively. Considering the increasing dynamics and product diversification, alongside the need to maintain constant production performances, the implementation of innovative control strategies becomes crucial. In recent years, the integration of Industry 4.0 technologies and machine learning methods has gained prominence in addressing emerging challenges in production applications. Within this context, this cumulative thesis analyzes deep learning based production systems based on five publications. Particular attention is paid to the applications of deep reinforcement learning, aiming to explore its potential in dynamic control contexts. Analysis reveal that deep reinforcement learning excels in various applications, especially in dynamic production control tasks. Its efficacy can be attributed to its interactive learning and real-time operational model. However, despite its evident utility, there are notable structural, organizational, and algorithmic gaps in the prevailing research. A predominant portion of deep reinforcement learning based approaches is limited to specific job shop scenarios and often overlooks the potential synergies in combined resources. Furthermore, it highlights the rare implementation of multi-agent systems and semi-heterarchical systems in practical settings. A notable gap remains in the integration of deep reinforcement learning into a hyper-heuristic. To bridge these research gaps, this thesis introduces a deep reinforcement learning based hyper- heuristic for the control of modular production systems, developed in accordance with the design science research methodology. Implemented within a semi-heterarchical multi-agent framework, this approach achieves a threefold reduction in control and optimisation complexity while ensuring high scalability, adaptability, and robustness of the system. In comparative benchmarks, this control methodology outperforms rule-based heuristics, reducing throughput times and tardiness, and effectively incorporates customer and order-centric metrics. The control artifact facilitates a rapid scenario generation, motivating for further research efforts and bridging the gap to real-world applications. The overarching goal is to foster a synergy between theoretical insights and practical solutions, thereby enriching scientific discourse and addressing current industrial challenges.},
  language  = {en}
}
@phdthesis{Koehler2024,
  author    = {K{\"o}hler, Wolfgang},
  title     = {Challenges of efficient and compliant data processing},
  doi       = {10.25932/publishup-62784},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-627843},
  school      = {Universit{\"a}t Potsdam},
  pages     = {195},
  year      = {2024},
  abstract  = {Die fortschreitende Digitalisierung ver{\"a}ndert die Gesellschaft und hat weitreichende Auswirkungen auf Menschen und Unternehmen. Grundlegend f{\"u}r diese Ver{\"a}nderungen sind die neuen technologischen M{\"o}glichkeiten, Daten in immer gr{\"o}ßerem Umfang und f{\"u}r vielf{\"a}ltige neue Zwecke zu verarbeiten. Von besonderer Bedeutung ist dabei die Verf{\"u}gbarkeit großer und qualitativ hochwertiger Datens{\"a}tze, insbesondere auf Basis personenbezogener Daten. Sie werden entweder zur Verbesserung der Produktivit{\"a}t, Qualit{\"a}t und Individualit{\"a}t von Produkten und Dienstleistungen oder gar zur Entwicklung neuartiger Dienstleistungen verwendet. Heute wird das Nutzerverhalten, trotz weltweit steigender gesetzlicher Anforderungen an den Schutz personenbezogener Daten, aktiver und umfassender verfolgt als je zuvor. Dies wirft vermehrt ethische, moralische und gesellschaftliche Fragen auf, die nicht zuletzt durch popul{\"a}re F{\"a}lle des Datenmissbrauchs in den Vordergrund der politischen Debatte ger{\"u}ckt sind. Angesichts dieses Diskurses und der gesetzlichen Anforderungen muss heutiges Datenmanagement drei Bedingungen erf{\"u}llen: Erstens die Legalit{\"a}t bzw. Gesetzeskonformit{\"a}t der Nutzung, zweitens die ethische Legitimit{\"a}t. Drittens sollte die Datennutzung aus betriebswirtschaftlicher Sicht wertsch{\"o}pfend sein. Im Rahmen dieser Bedingungen verfolgt die vorliegende kumulative Dissertation vier Forschungsziele mit dem Fokus, ein besseres Verst{\"a}ndnis (1) der Herausforderungen bei der Umsetzung von Gesetzen zum Schutz von Privatsph{\"a}re, (2) der Faktoren, die die Bereitschaft der Kunden zur Weitergabe pers{\"o}nlicher Daten beeinflussen, (3) der Rolle des Datenschutzes f{\"u}r das digitale Unternehmertum und (4) der interdisziplin{\"a}ren wissenschaftlichen Bedeutung, deren Entwicklung und Zusammenh{\"a}nge zu erlangen.},
  language  = {en}
}
@phdthesis{Haase2023,
  author    = {Haase, Jennifer},
  title     = {Creative intensive processes},
  doi       = {10.25932/publishup-59388},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-593886},
  school      = {Universit{\"a}t Potsdam},
  pages     = {xiii, 346},
  year      = {2023},
  abstract  = {Creativity - developing something new and useful - is a constant challenge in the working world. Work processes, services, or products must be sensibly adapted to changing times. To be able to analyze and, if necessary, adapt creativity in work processes, a precise understanding of these creative activities is necessary. Process modeling techniques are often used to capture business processes, represent them graphically and analyze them for adaptation possibilities. This has been very limited for creative work. An accurate understanding of creative work is subject to the challenge that, on the one hand, it is usually very complex and iterative. On the other hand, it is at least partially unpredictable as new things emerge. How can the complexity of creative business processes be adequately addressed and simultaneously manageable? This dissertation attempts to answer this question by first developing a precise process understanding of creative work. In an interdisciplinary approach, the literature on the process description of creativity-intensive work is analyzed from the perspective of psychology, organizational studies, and business informatics. In addition, a digital ethnographic study in the context of software development is used to analyze creative work. A model is developed based on which four elementary process components can be analyzed: Intention of the creative activity, Creation to develop the new, Evaluation to assess its meaningfulness, and Planning of the activities arising in the process - in short, the ICEP model. These four process elements are then translated into the Knockledge Modeling Description Language (KMDL), which was developed to capture and represent knowledge-intensive business processes. The modeling extension based on the ICEP model enables creative business processes to be identified and specified without the need for extensive modeling of all process details. The modeling extension proposed here was developed using ethnographic data and then applied to other organizational process contexts. The modeling method was applied to other business contexts and evaluated by external parties as part of two expert studies. The developed ICEP model provides an analytical framework for complex creative work processes. It can be comprehensively integrated into process models by transforming it into a modeling method, thus expanding the understanding of existing creative work in as-is process analyses.},
  language  = {en}
}
@phdthesis{Boeken2022,
  author    = {B{\"o}ken, Bj{\"o}rn},
  title     = {Improving prediction accuracy using dynamic information},
  doi       = {10.25932/publishup-58512},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-585125},
  school      = {Universit{\"a}t Potsdam},
  pages     = {xii, 160},
  year      = {2022},
  abstract  = {Accurately solving classification problems nowadays is likely to be the most relevant machine learning task. Binary classification separating two classes only is algorithmically simpler but has fewer potential applications as many real-world problems are multi-class. On the reverse, separating only a subset of classes simplifies the classification task. Even though existing multi-class machine learning algorithms are very flexible regarding the number of classes, they assume that the target set Y is fixed and cannot be restricted once the training is finished. On the other hand, existing state-of-the-art production environments are becoming increasingly interconnected with the advance of Industry 4.0 and related technologies such that additional information can simplify the respective classification problems. In light of this, the main aim of this thesis is to introduce dynamic classification that generalizes multi-class classification such that the target class set can be restricted arbitrarily to a non-empty class subset M of Y at any time between two consecutive predictions. This task is solved by a combination of two algorithmic approaches. First, classifier calibration, which transforms predictions into posterior probability estimates that are intended to be well calibrated. The analysis provided focuses on monotonic calibration and in particular corrects wrong statements that appeared in the literature. It also reveals that bin-based evaluation metrics, which became popular in recent years, are unjustified and should not be used at all. Next, the validity of Platt scaling, which is the most relevant parametric calibration approach, is analyzed in depth. In particular, its optimality for classifier predictions distributed according to four different families of probability distributions as well its equivalence with Beta calibration up to a sigmoidal preprocessing are proven. For non-monotonic calibration, extended variants on kernel density estimation and the ensemble method EKDE are introduced. Finally, the calibration techniques are evaluated using a simulation study with complete information as well as on a selection of 46 real-world data sets. Building on this, classifier calibration is applied as part of decomposition-based classification that aims to reduce multi-class problems to simpler (usually binary) prediction tasks. For the involved fusing step performed at prediction time, a new approach based on evidence theory is presented that uses classifier calibration to model mass functions. This allows the analysis of decomposition-based classification against a strictly formal background and to prove closed-form equations for the overall combinations. Furthermore, the same formalism leads to a consistent integration of dynamic class information, yielding a theoretically justified and computationally tractable dynamic classification model. The insights gained from this modeling are combined with pairwise coupling, which is one of the most relevant reduction-based classification approaches, such that all individual predictions are combined with a weight. This not only generalizes existing works on pairwise coupling but also enables the integration of dynamic class information. Lastly, a thorough empirical study is performed that compares all newly introduced approaches to existing state-of-the-art techniques. For this, evaluation metrics for dynamic classification are introduced that depend on corresponding sampling strategies. Thereafter, these are applied during a three-part evaluation. First, support vector machines and random forests are applied on 26 data sets from the UCI Machine Learning Repository. Second, two state-of-the-art deep neural networks are evaluated on five benchmark data sets from a relatively recent reference work. Here, computationally feasible strategies to apply the presented algorithms in combination with large-scale models are particularly relevant because a naive application is computationally intractable. Finally, reference data from a real-world process allowing the inclusion of dynamic class information are collected and evaluated. The results show that in combination with support vector machines and random forests, pairwise coupling approaches yield the best results, while in combination with deep neural networks, differences between the different approaches are mostly small to negligible. Most importantly, all results empirically confirm that dynamic classification succeeds in improving the respective prediction accuracies. Therefore, it is crucial to pass dynamic class information in respective applications, which requires an appropriate digital infrastructure.},
  language  = {en}
}
@phdthesis{Baum2023,
  author    = {Baum, Katharina},
  title     = {Social networking sites},
  school      = {Universit{\"a}t Potsdam},
  pages     = {281},
  year      = {2023},
  language  = {en}
}
@phdthesis{Dannenmann2023,
  author    = {Dannenmann, Barbara},
  title     = {K{\"o}nnen technologiegest{\"u}tzte Verhandlungstrainings unter Einsatz von K{\"u}nstlicher Intelligenz und Virtueller Realit{\"a}t das Vertriebstraining verbessern?},
  doi       = {10.25932/publishup-57737},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-577378},
  school      = {Universit{\"a}t Potsdam},
  pages     = {245},
  year      = {2023},
  abstract  = {Digitale und gesellschaftliche Entwicklungen fordern kontinuierliche Weiterbildung f{\"u}r Mitarbeiter im Vertrieb. Es halten sich in dieser Berufssparte aber immer noch einige Mythen zum Training von Vertriebsmitarbeitern. Unter anderem deshalb wurde in der Vergangenheit der Trainingsbedarf im Vertrieb stark vernachl{\"a}ssigt. Die Arbeit befasst sich deshalb zun{\"a}chst mit der Frage, wie der Vertrieb in Deutschland aktuell geschult wird (unter Einbezug der Corona-Pandemie) und ob sich aus den Trainingsgewohnheiten erste Hinweise zur Erlangung eines strategischen Wettbewerbsvorteils ergeben k{\"o}nnten. Dabei greift die Arbeit auf, dass Investitionen in das Training von Vertriebsmitarbeitern eine Anlage in die Wettbewerbsf{\"a}higkeit des Unternehmens sein k{\"o}nnten. Automatisierte Trainings, beispielsweise basierend auf Virtual Reality (VR) und K{\"u}nstlicher Intelligenz (KI), k{\"o}nnten in der Aus- und Weiterbildung des Vertriebs einen effizienten Beitrag in der Sicherstellung eines strategischen Wettbewerbsvorteils leisten. Durch weitere Forschungsfragen befasst sich die Arbeit anschließend damit, wie ein automatisiertes Vertriebstraining mit KI- und VR-Inhalten unter Einbeziehung der Nutzer gestaltet werden muss, um Vertriebsmitarbeiter in einem daf{\"u}r ausgew{\"a}hlten Verhandlungskontext zu trainieren. Dazu wird eine Anwendung mit Hilfe von Virtual Reality und K{\"u}nstlicher Intelligenz in einem Verhandlungsdialog entwickelt, getestet und evaluiert. Die vorliegende Arbeit liefert eine Basis f{\"u}r die Automatisierung von Vertriebstrainings und im erweiterten Sinne f{\"u}r Trainings im Allgemeinen.},
  language  = {de}
}
@phdthesis{Gandhi2022,
  author    = {Gandhi, Nilima},
  title     = {Visionary leadership and job satisfaction},
  doi       = {10.25932/publishup-57269},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-572691},
  school      = {Universit{\"a}t Potsdam},
  pages     = {154},
  year      = {2022},
  abstract  = {Current business organizations want to be more efficient and constantly evolving to find ways to retain talent. It is well established that visionary leadership plays a vital role in organizational success and contributes to a better working environment. This study aims to determine the effect of visionary leadership on employees' perceived job satisfaction. Specifically, it investigates whether the mediators meaningfulness at work and commitment to the leader impact the relationship. I take support from job demand resource theory to explain the overarching model used in this study and broaden-and-build theory to leverage the use of mediators. To test the hypotheses, evidence was collected in a multi-source, time-lagged design field study of 95 leader-follower dyads. The data was collected in a three-wave study, each survey appearing after one month. Data on employee perception of visionary leadership was collected in T1, data for both mediators were collected in T2, and employee perception of job satisfaction was collected in T3. The findings display that meaningfulness at work and commitment to the leader play positive intervening roles (in the form of a chain) in the indirect influence of visionary leadership on employee perceptions regarding job satisfaction. This research offers contributions to literature and theory by first broadening the existing knowledge on the effects of visionary leadership on employees. Second, it contributes to the literature on constructs meaningfulness at work, commitment to the leader, and job satisfaction. Third, it sheds light on the mediation mechanism dealing with study variables in line with the proposed model. Fourth, it integrates two theories, job demand resource theory and broaden-and-build theory providing further evidence. Additionally, the study provides practical implications for business leaders and HR practitioners. Overall, my study discusses the potential of visionary leadership behavior to elevate employee outcomes. The study aligns with previous research and answers several calls for further research on visionary leadership, job satisfaction, and mediation mechanism with meaningfulness at work and commitment to the leader.},
  language  = {en}
}
@phdthesis{HannesVincent2022,
  author    = {Hannes-Vincent, Krause},
  title     = {Social networking site use and well-being - a nuanced understanding of a complex relationship},
  school      = {Universit{\"a}t Potsdam},
  year      = {2022},
  abstract  = {Social Networking Sites (SNSs) are ubiquitous and attract an enormous chair of the digital population. Their functionalities allow users to connect and interact with others and weave complex social networks in which social information is continuously disseminated between users. Besides the social value SNSs are generating, they likewise attract companies and allow for new forms of marketing, thereby creating considerable economic value alike. However, as SNSs grew in popularity, so did concerns about the impact of their use on social interactions in general and the well-being of individual users in particular. While existing scientific evidence points to both risk as well as benefits of SNS use, research still lacks a profound understanding of which aspects of SNSs enable an impact on well-being and which psychological processes on the part of the users underly and explain this relationship. Therefore, this thesis is dedicated to an in-depth exploration of the relationship between SNS use and well-being and aims to answer how SNS use can impact well-being. Primarily, it focuses on the unique technological features that characterize SNSs and enable potential well- being alterations and on specific psychological processes on the part of the users, underlying and explaining the relationship. For this purpose, the thesis first introduces the concept of well- being. It continues by presenting SNSs' unique technological features, divided into specifics of the content disseminated on SNSs and the network structure of SNSs. Further, the thesis introduces three classes of psychological processes assumed most relevant for the relationship between SNSs and well-being: other-focused, self-focused, and contrastive processes.. It is assumed that the course and quality of these common processes change in the SNS context and that a complex interplay between the unique features of SNSs and these processes determines how SNSs may ultimately affect users' well-being - both in positive and negative ways. The dissertation comprises seven research articles, each of which focusses on a particular set of SNS characteristics, their interplay with one or more of the proposed psychological processes, and ultimately the resulting effects on user well-being or its key resilience and risk factors. The seven articles investigate this relationship using different methodological approaches. Three articles are based on either systematic or narrative literature reviews, one applies an empirical cross-sectional research design, and three articles present an experimental investigation. Thematically, two articles revolve around SNS use's effect on self-esteem. Three articles examine the specific role of the emotion of envy and its potential to establish and perpetuate a well-being-damaging social climate on SNSs. The two last articles of this thesis revolve around the established assumption that active and passive SNS use, as different modalities of SNS use, cause differential effects on users' well-being due to the involvement of different psychological processes. The results of this thesis illustrate different ways how SNSs can affect users' well-being. The results suggest that especially contrastive processes play a decisive role in explaining potential well-being risks for SNS users. Their interplay with certain SNS features seems to foster upward social comparisons and feelings of envy, potentially leading to a complex set of deleterious effects on users' well-being. At the same time, the findings illuminate ways in which SNSs can benefit users and their self-esteem - especially when SNS use promotes self- focused and social-feedback-based other-focused processes. The thesis and their findings illustrate that the relationship between SNSs and well-being is complex. Therefore, a nuanced perspective, taking into consideration both the technological uniqueness of SNSs and the psychological processes they are enabling, is crucial to understand how these technologies affect their users in good and potentially harmful ways. On the one hand, the gathered insights contribute to research, providing novel insights into the complex relationship between SNS use and well-being. On the other hand, the results enable a focused and action-oriented derivation of recommendations for stakeholders such as individual users, policymakers, and platform providers. The findings of this thesis can help them to better combat SNS-related risks and ultimately ensure a healthy and sustainable environment for users - and thus also the economic values of SNSs - in the long term.},
  language  = {en}
}
@phdthesis{Brinkmann2022,
  author    = {Brinkmann, Maik},
  title     = {Towards a joint public service delivery? The effects of blockchain on the relationship of public administrations with external stakeholders},
  doi       = {10.25932/publishup-56449},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-564499},
  school      = {Universit{\"a}t Potsdam},
  pages     = {X, 126, CCLXVIII},
  year      = {2022},
  abstract  = {Public administrations confront fundamental challenges, including globalization, digitalization, and an eroding level of trust from society. By developing joint public service delivery with other stakeholders, public administrations can respond to these challenges. This increases the importance of inter-organizational governance—a development often referred to as New Public Governance, which to date has not been realized because public administrations focus on intra-organizational practices and follow the traditional "governmental chain." E-government initiatives, which can lead to high levels of interconnected public services, are currently perceived as insufficient to meet this goal. They are not designed holistically and merely affect the interactions of public and non-public stakeholders. A fundamental shift toward a joint public service delivery would require scrutiny of established processes, roles, and interactions between stakeholders. Various scientists and practitioners within the public sector assume that the use of blockchain institutional technology could fundamentally change the relationship between public and non-public stakeholders. At first glance, inter-organizational, joint public service delivery could benefit from the use of blockchain. This dissertation aims to shed light on this widespread assumption. Hence, the objective of this dissertation is to substantiate the effect of blockchain on the relationship between public administrations and non-public stakeholders. This objective is pursued by defining three major areas of interest. First, this dissertation strives to answer the question of whether or not blockchain is suited to enable New Public Governance and to identify instances where blockchain may not be the proper solution. The second area aims to understand empirically the status quo of existing blockchain implementations in the public sector and whether they comply with the major theoretical conclusions. The third area investigates the changing role of public administrations, as the blockchain ecosystem can significantly increase the number of stakeholders. Corresponding research is conducted to provide insights into these areas, for example, combining theoretical concepts with empirical actualities, conducting interviews with subject matter experts and key stakeholders of leading blockchain implementations, and performing a comprehensive stakeholder analysis, followed by visualization of its results. The results of this dissertation demonstrate that blockchain can support New Public Governance in many ways while having a minor impact on certain aspects (e.g., decentralized control), which account for this public service paradigm. Furthermore, the existing projects indicate changes to relationships between public administrations and non-public stakeholders, although not necessarily the fundamental shift proposed by New Public Governance. Lastly, the results suggest that power relations are shifting, including the decreasing influence of public administrations within the blockchain ecosystem. The results raise questions about the governance models and regulations required to support mature solutions and the further diffusion of blockchain for public service delivery.},
  language  = {en}
}
@phdthesis{Brenner2022,
  author    = {Brenner, Andri Caspar},
  title     = {Sustainable urban growth},
  doi       = {10.25932/publishup-55522},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-555223},
  school      = {Universit{\"a}t Potsdam},
  pages     = {231},
  year      = {2022},
  abstract  = {This dissertation explores the determinants for sustainable and socially optimalgrowth in a city. Two general equilibrium models establish the base for this evaluation, each adding its puzzle piece to the urban sustainability discourse and examining the role of non-market-based and market-based policies for balanced growth and welfare improvements in different theory settings. Sustainable urban growth either calls for policy actions or a green energy transition. Further, R\&D market failures can pose severe challenges to the sustainability of urban growth and the social optimality of decentralized allocation decisions. Still, a careful (holistic) combination of policy instruments can achieve sustainable growth and even be first best.},
  language  = {en}
}
@phdthesis{Schumacher2022,
  author    = {Schumacher, Jochen},
  title     = {Entwicklung eines Industrie 4.0 Reifegradindex f{\"u}r produzierende Unternehmen},
  doi       = {10.25932/publishup-55464},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-554642},
  school      = {Universit{\"a}t Potsdam},
  pages     = {VI, 275},
  year      = {2022},
  abstract  = {Das Ziel dieser Arbeit ist die Entwicklung eines Industrie 4.0 Reifegradindex f{\"u}r produzierende Unternehmen (KMU und Mittelstand) mit diskreter Produktion. Die Motivation zu dieser Arbeit entstand aus dem Z{\"o}gern vieler Unternehmen - insbesondere KMU und Mittelstand - bei der Transformation in Richtung Industrie 4.0. Im Rahmen einer Marktstudie konnte belegt werden, dass 86 Prozent der befragten produzierenden Unternehmen kein f{\"u}r ihr Unternehmen geeignetes Industrie 4.0 Reifegradmodell gefunden haben, mit dem sie ihren Status Quo bewerten und Maßnahmen f{\"u}r einen h{\"o}heren Grad der Reife ableiten k{\"o}nnten. Die Bewertung bestehender Reifegradmodelle zeigte Defizite hinsichtlich der Industrie 4.0 Abdeckung, der Betrachtung der sozio-technischen Dimensionen Mensch, Technik und Organisation sowie der Betrachtung von Management und Unternehmenskultur. Basierend auf den aktuellen Industrie 4.0 Technologien und Handlungsbereichen wurde ein neues, modular aufgebautes Industrie 4.0 Reifegradmodell entwickelt, das auf einer ganzheitlichen Betrachtung aller sozio-technischen Dimensionen Mensch, Technik und Organisation sowie deren Schnittstellen basiert. Das Modell ermittelt neben dem Overall Industry 4.0 Maturity Index (OI4MI) vier weitere Indizes zur Bewertung der Industrie 4.0 Reife des Unternehmens. Das Modell wurde bei einem Unternehmen validiert und steht nun als Template f{\"u}r darauf aufbauende Forschungsarbeiten zur Verf{\"u}gung.},
  language  = {de}
}
@phdthesis{Gleiss2022,
  author    = {Gleiß, Alexander},
  title     = {Case Studies on Digital Transformation},
  doi       = {10.25932/publishup-54615},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-546159},
  school      = {Universit{\"a}t Potsdam},
  pages     = {xii, 198},
  year      = {2022},
  abstract  = {Digital transformation (DT) has not only been a major challenge in recent years, it is also supposed to continue to enormously impact our society and economy in the forthcoming decade. On the one hand, digital technologies have emerged, diffusing and determining our private and professional lives. On the other hand, digital platforms have leveraged the potentials of digital technologies to provide new business models. These dynamics have a massive effect on individuals, companies, and entire ecosystems. Digital technologies and platforms have changed the way persons consume or interact with each other. Moreover, they offer companies new opportunities to conduct their business in terms of value creation (e.g., business processes), value proposition (e.g., business models), or customer interaction (e.g., communication channels), i.e., the three dimensions of DT. However, they also can become a threat for a company's competitiveness or even survival. Eventually, the emergence, diffusion, and employment of digital technologies and platforms bear the potential to transform entire markets and ecosystems. Against this background, IS research has explored and theorized the phenomena in the context of DT in the past decade, but not to its full extent. This is not surprising, given the complexity and pervasiveness of DT, which still requires far more research to further understand DT with its interdependencies in its entirety and in greater detail, particularly through the IS perspective at the confluence of technology, economy, and society. Consequently, the IS research discipline has determined and emphasized several relevant research gaps for exploring and understanding DT, including empirical data, theories as well as knowledge of the dynamic and transformative capabilities of digital technologies and platforms for both organizations and entire industries. Hence, this thesis aims to address these research gaps on the IS research agenda and consists of two streams. The first stream of this thesis includes four papers that investigate the impact of digital technologies on organizations. In particular, these papers study the effects of new technologies on firms (paper II.1) and their innovative capabilities (II.2), the nature and characteristics of data-driven business models (II.3), and current developments in research and practice regarding on-demand healthcare (II.4). Consequently, the papers provide novel insights on the dynamic capabilities of digital technologies along the three dimensions of DT. Furthermore, they offer companies some opportunities to systematically explore, employ, and evaluate digital technologies to modify or redesign their organizations or business models. The second stream comprises three papers that explore and theorize the impact of digital platforms on traditional companies, markets, and the economy and society at large. At this, paper III.1 examines the implications for the business of traditional insurance companies through the emergence and diffusion of multi-sided platforms, particularly in terms of value creation, value proposition, and customer interaction. Paper III.2 approaches the platform impact more holistically and investigates how the ongoing digital transformation and "platformization" in healthcare lastingly transform value creation in the healthcare market. Paper III.3 moves on from the level of single businesses or markets to the regulatory problems that result from the platform economy for economy and society, and proposes appropriate regulatory approaches for addressing these problems. Hence, these papers bring new insights on the table about the transformative capabilities of digital platforms for incumbent companies in particular and entire ecosystems in general. Altogether, this thesis contributes to the understanding of the impact of DT on organizations and markets through the conduction of multiple-case study analyses that are systematically reflected with the current state of the art in research. On this empirical basis, the thesis also provides conceptual models, taxonomies, and frameworks that help describing, explaining, or predicting the impact of digital technologies and digital platforms on companies, markets and the economy or society at large from an interdisciplinary viewpoint.},
  language  = {en}
}
@phdthesis{Dehnert2022,
  author    = {Dehnert, Maik},
  title     = {Studies on the Digital Transformation of Incumbent Organizations},
  doi       = {10.25932/publishup-54832},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-548324},
  school      = {Universit{\"a}t Potsdam},
  pages     = {339},
  year      = {2022},
  abstract  = {Traditional organizations are strongly encouraged by emerging digital customer behavior and digital competition to transform their businesses for the digital age. Incumbents are particularly exposed to the field of tension between maintaining and renewing their business model. Banking is one of the industries most affected by digitalization, with a large stream of digital innovations around Fintech. Most research contributions focus on digital innovations, such as Fintech, but there are only a few studies on the related challenges and perspectives of incumbent organizations, such as traditional banks. Against this background, this dissertation examines the specific causes, effects and solutions for traditional banks in digital transformation - an underrepresented research area so far. The first part of the thesis examines how digitalization has changed the latent customer expectations in banking and studies the underlying technological drivers of evolving business-to-consumer (B2C) business models. Online consumer reviews are systematized to identify latent concepts of customer behavior and future decision paths as strategic digitalization effects. Furthermore, the service attribute preferences, the impact of influencing factors and the underlying customer segments are uncovered for checking accounts in a discrete choice experiment. The dissertation contributes here to customer behavior research in digital transformation, moving beyond the technology acceptance model. In addition, the dissertation systematizes value proposition types in the evolving discourse around smart products and services as key drivers of business models and market power in the platform economy. The second part of the thesis focuses on the effects of digital transformation on the strategy development of financial service providers, which are classified along with their firm performance levels. Standard types are derived based on fuzzy-set qualitative comparative analysis (fsQCA), with facade digitalization as one typical standard type for low performing incumbent banks that lack a holistic strategic response to digital transformation. Based on this, the contradictory impact of digitalization measures on key business figures is examined for German savings banks, confirming that the shift towards digital customer interaction was not accompanied by new revenue models diminishing bank profitability. The dissertation further contributes to the discourse on digitalized work designs and the consequences for job perceptions in banking customer advisory. The threefold impact of the IT support perceived in customer interaction on the job satisfaction of customer advisors is disentangled. In the third part of the dissertation, solutions are developed design-oriented for core action areas of digitalized business models, i.e., data and platforms. A consolidated taxonomy for data-driven business models and a future reference model for digital banking have been developed. The impact of the platform economy is demonstrated here using the example of the market entry by Bigtech. The role-based e3-value modeling is extended by meta-roles and role segments and linked to value co-creation mapping in VDML. In this way, the dissertation extends enterprise modeling research on platform ecosystems and value co-creation using the example of banking.},
  language  = {en}
}
@phdthesis{Hefen2021,
  author    = {Hefen, Veronika},
  title     = {Karrierewege in der Wirtschaftspr{\"u}fung unter besonderer Ber{\"u}cksichtigung der relativen Repr{\"a}sentation von Frauen},
  doi       = {10.25932/publishup-52983},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-529831},
  school      = {Universit{\"a}t Potsdam},
  pages     = {XIX, 411},
  year      = {2021},
  abstract  = {Ausgangspunkt der Dissertation ist die Fragestellung, warum es relativ wenige weibliche Wirtschaftspr{\"u}fer/innen in Deutschland gibt. Laut Mitgliederstatistik der Wirtschaftspr{\"u}ferkammer vom 1. Januar 2020 liegt der Frauenanteil im Berufs-stand bei rund 17 \%. Einschl{\"a}gige Literatur zeigt, dass auf Ebene der Berufseinstei-ger/innen im Segment der zehn gr{\"o}ßten Wirtschaftspr{\"u}fungsgesellschaften das Ge-schlechterverh{\"a}ltnis recht ausgewogen ist. Jedoch liegt der Frauenanteil auf der Hierarchieebene „Manager", f{\"u}r die {\"u}blicherweise ein bestandenes Berufsexamen Voraussetzung ist, bereits deutlich niedriger und sinkt mit jeder weiteren Hierar-chiestufe. Die Zielstellung der Dissertation wurde somit dahingehend spezifiziert, diejenigen Faktoren zu analysieren, die dazu beitragen k{\"o}nnen, dass die relative Repr{\"a}sentation von Frauen im Segment der zehn gr{\"o}ßten Wirtschaftspr{\"u}fungsge-sellschaften Deutschlands ab der Manager-Ebene (d. h. {\"u}blicherweise ab der Schwelle der examinierten Wirtschaftspr{\"u}fer/innen) sinkt. Der Fokus der Analyse liegt daher auf Ebene der erfahrenen Pr{\"u}fungsassistenten und Pr{\"u}fungsassistentin-nen (Senior), um diese Schwelle unmittelbar vor der Manager-Ebene detailliert zu beleuchten. Neben der Auswertung von Erkenntnissen aus der internationalen Pr{\"u}fungsfor-schung wurde eine empirische Studie unter den Senior von sechs der zehn gr{\"o}ßten Wirtschaftspr{\"u}fungsgesellschaften in Deutschland durchgef{\"u}hrt. Die empirischen Ergebnisse wurden mittels deskriptiver Datenanalyse ausgewertet und dahinge-hend analysiert, f{\"u}r welche der zuvor definierten Aspekte signifikante geschlechts-spezifische Unterschiede zu beobachten sind. F{\"u}r ausgew{\"a}hlte Aspekte wurde zu-dem analysiert, ob es Unterschiede zwischen weiblichen/m{\"a}nnlichen Senior mit Kind/ern und ohne Kind/er gibt. Insgesamt wurden f{\"u}r zahlreiche Aspekte ge-schlechtsspezifische Unterschiede und Unterschiede zwischen Senior mit Kind/ern und ohne Kind/er gefunden. Es zeigt sich außerdem, dass neben der beruflichen Situation auch die individuellen Eigenschaften und das private Umfeld von Bedeu-tung sind. Im Rahmen der beruflichen Situation spielen sowohl die Wahrnehmung der aktuellen beruflichen Situation eine Rolle als auch u. a. die Erwartungen der Senior an die m{\"o}gliche k{\"u}nftige Manager-Position, an das Wirtschaftspr{\"u}fungsexa-men und an weitere berufliche Perspektiven.},
  language  = {de}
}
@phdthesis{Schmidt2021,
  author    = {Schmidt, Robert},
  title     = {Gr{\"u}ndungsf{\"o}rderung an Hochschulen},
  doi       = {10.25932/publishup-52520},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-525203},
  school      = {Universit{\"a}t Potsdam},
  pages     = {XIII, 270, ix},
  year      = {2021},
  abstract  = {F{\"o}rdermittelfinanzierte Gr{\"u}ndungsunterst{\"u}tzungsangebote waren in den EU-F{\"o}rderperioden 2007-2013 und 2014-2020 ein wichtiges Element der Hochschulgr{\"u}ndungsf{\"o}rderung im Land Brandenburg. Aufgrund der positiven wirtschaftlichen Entwicklung des Landes, reduzierte sich das F{\"o}rdervolumen in der gleichen Zeit jedoch stetig. F{\"u}r die EU-F{\"o}rderperiode 2021-2027 steht eine weitere Reduzierung der F{\"o}rdermittel bereits fest. In der Folge wird es, ohne Anpassungen der etablierten F{\"o}rderstrukturen, zur weiteren Reduzierung oder Erosion der Gr{\"u}ndungsunterst{\"u}tzungsangebote an Brandenburger Hochschulen kommen. Die vorliegende Arbeit befasst sich daher u.a. mit der Frage, wie ein theoretisches Referenzmodell zur f{\"o}rdermittelfinanzierten Hochschulgr{\"u}ndungsberatung gestaltet sein kann, um den reduzierten F{\"o}rders{\"a}tzen bei gleichzeitiger Aufrechterhaltung der Angebotsvielfalt gerecht zu werden. Zur Beantwortung dieser Frage wird als Untersuchungsobjekt das F{\"o}rderprojekt BIEM Startup Navigator herangezogen. Das Gr{\"u}ndungsberatungsprojekt BIEM Startup Navigator wurde von 2010 bis 2014 an sechs Brandenburger Hochschulen durchgef{\"u}hrt. Mit Hilfe der Modelle und Pr{\"a}missen der Prinzipal-Agent-Theorie wird zun{\"a}chst ein theoretischer Rahmen aufgespannt, auf dessen Grundlage die empirische Untersuchung erfolgt. Anhand der Prinzipal-Agent-Theorie werden die beteiligten Organisationen, Individuen und Institutionen aufgezeigt. Weiterhin werden die wesentlichen Problemfelder und L{\"o}sungsans{\"a}tze der Prinzipal-Agent-Theorie f{\"u}r die Untersuchung des BIEM Startup Navigators diskutiert. Im Untersuchungsverlauf werden u.a. die Konzepte zur Durchf{\"u}hrung des F{\"o}rderprojekts an sechs Hochschulstandorten, die Daten von 610 Teilnehmenden und 288 Gr{\"u}ndungen analysiert, um so sachlogische Zusammenh{\"a}nge und Wechselwirkungen identifizieren und beschreiben zu k{\"o}nnen. Es werden unterschiedliche theoretische Annahmen zu den Bereichen Projekteffektivit{\"a}t bzw. Projekteffizienz, Kostenverteilung und zur konzeptionellen Ausgestaltung in Form von 24 Arbeitshypothesen formuliert und auf die Untersuchung {\"u}bertragen. Die Verifizierung bzw. Falsifizierung der Hypothesen erfolgt auf Grundlage der kombinierten Erkenntnisse aus Literaturrecherchen und den Ergebnissen der empirischen Untersuchung. Im Verlauf der Arbeit gelingt es, die in der Prinzipal-Agent-Theorie auftretenden Agencykosten auch am Beispiel des BIEM Startup Navigators zu beschreiben und ex post Ineffizienzen in den durchgef{\"u}hrten Screening- und Signalingprozessen aufzuzeigen. Mit Hilfe des im Verlauf der Arbeit entwickelten theoretischen Referenzmodells zur f{\"o}rdermittelfinanzierten Gr{\"u}ndungsberatung an Brandenburger Hochschulen soll es gelingen, den sinkenden EU-F{\"o}rdermitteln, ohne eine gleichzeitige Reduzierung der Gr{\"u}ndungsunterst{\"u}tzungsangebote an den Hochschulen, gerecht zu werden. Hierf{\"u}r zeigt das theoretische Referenzmodell wie die Ergebnisse der empirischen Untersuchung genutzt werden k{\"o}nnen, um die Agencykosten der f{\"o}rdermittelfinanzierten Gr{\"u}ndungsberatung zu reduzieren.},
  language  = {de}
}
@phdthesis{Graeber2021,
  author    = {Graeber, Daniel},
  title     = {Four essays on the socio-economic causes and consequences of individual health as well as public health crises},
  doi       = {10.25932/publishup-51517},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-515175},
  school      = {Universit{\"a}t Potsdam},
  pages     = {XIV, 249},
  year      = {2021},
  abstract  = {Inequalities in health are a prevalent feature of societies. And as societies, we condemn inequalities that are rooted in immutable circumstances such as gender, race, and parental background. Consequently, policy makers are interested in measuring and understanding the causes of health inequalities rooted in circumstances. However, identifying causal estimates of these relationships is very ambitious for reasons such as the presence of confounders or measurement error in the data. This thesis contributes to this ambitious endeavour by addressing these challenges in four chapters. In the first Chapter, I use 25 years of rich health information to describe three features of intergenerational health mobility in Germany. First, we describe the joint permanent health distribution of the parents and their children. A ten percentile increase in parental permanent health is associated with a 2.3 percentile increase in their child's health. Second, a percentile point increase in permanent health ranks is associated with a 0.8\% to 1.4\% increase in permanent income for, both, children, and parents, respectively. Non-linearities in the association between permanent health and income create incentives to escape the bottom of the permanent health distribution. Third, upward mobility in permanent health varies with parental socio-economic status. In the second Chapter, we estimate the effect of maternal schooling on children's mental health in adulthood. Using the Socio-Economic Panel and the mental health measure based on the SF-12 questionnaire, we exploit a compulsory schooling law reform to identify the causal effect of maternal schooling on children's mental health. While the theoretical considerations are not clear, we do not find that the mother's schooling has an effect on the mental health of the children. However, we find a positive effect on children's physical health operating mainly through physical functioning. In addition, albeit with the absence of a reduced-form effect on mental health, we find evidence that the number of friends moderates the relationship between maternal schooling and their children's mental health. In the third Chapter, against a background of increasing violence against non-natives, we estimate the effect of hate crime on refugees' mental health in Germany. For this purpose, we combine two datasets: administrative records on xenophobic crime against refugee shelters by the Federal Criminal Office and the IAB-BAMF-SOEP Survey of Refugees. We apply a regression discontinuity design in time to estimate the effect of interest. Our results indicate that hate crime has a substantial negative effect on several mental health indicators, including the Mental Component Summary score and the Patient Health Questionnaire-4 score. The effects are stronger for refugees with closer geographic proximity to the focal hate crime and refugees with low country-specific human capital. While the estimated effect is only transitory, we argue that negative mental health shocks during the critical period after arrival have important long-term consequences. In the last Chapter of this thesis, we investigate how the economic consequences of the pandemic and the government-mandated measures to contain its spread affect the self-employed - particularly women- in Germany. For our analysis, we use representative, real-time survey data in which respondents were asked about their situation during the COVID-19 pandemic. Our findings indicate that among the self-employed, who generally face a higher likelihood of income losses due to COVID-19 than employees, women are 35\% more likely to experience income losses than their male counterparts. We do not find a comparable gender gap among employees. Our results further suggest that the gender gap among the self-employed is largely explained by the fact that women disproportionately work in industries that are more severely affected by the COVID-19 pandemic. Our analysis of potential mechanisms reveals that women are significantly more likely to be impacted by government-imposed restrictions, e.g., the regulation of opening hours. We conclude that future policy measures intending to mitigate the consequences of such shocks should account for this considerable variation in economic hardship.},
  language  = {en}
}
@phdthesis{Dressen2021,
  author    = {Dreßen, Sebastian},
  title     = {Open innovation for manufacturing technologies},
  doi       = {10.25932/publishup-51438},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-514384},
  school      = {Universit{\"a}t Potsdam},
  pages     = {VIII, 141},
  year      = {2021},
  abstract  = {This paper-based dissertation aims to contribute to the open innovation (OI) and technology management (TM) research fields by investigating their mechanisms, and potentials at the operational level. The dissertation connects the well-known concept of technology management with OI formats and applies these on specific manufacturing technologies within a clearly defined setting. Technological breakthroughs force firms to continuously adapt and reinvent themselves. The pace of technological innovation and their impact on firms is constantly increasing due to more connected infrastructure and accessible resources (i.e. data, knowledge). Especially in the manufacturing sector it is one key element to leverage new technologies to stay competitive. These technological shifts call for new management practices. TM supports firms with various tools to manage these shifts at different levels in the firm. It is a multifunctional and multidisciplinary field as it deals with all aspects of integrating technological issues into business decision-making and is directly relevant to a number of core business processes. Thus, it makes sense to utilize this theory and their practices as a foundation of this dissertation. However, considering the increasing complexity and number of technologies it is not sufficient anymore for firms to only rely on previous internal R\&D and managerial practices. OI can expanse these practices by involving distributed innovation processes and accessing further external knowledge sources. This expansion can lead to an increasing innovation performance and thereby accelerate the time-to-market of technologies. Research in this dissertation was based on the expectations that OI formats will support the R\&D activities of manufacturing technologies on the operational level by providing access to resources, knowledge, and leading-edge technology. The dissertation represents uniqueness regarding the rich practical data sets (observations, internal documents, project reviews) drawn from a very large German high-tech firm. The researcher was embedded in an R\&D unit within the operational TM department for manufacturing technologies. The analyses include 1.) an exploratory in-depth analysis of a crowdsourcing initiative to elaborate the impact on specific manufacturing technologies, 2.) a deductive approach for developing a technology evaluation score model to create a common understanding of the value of selected manufacturing technologies at the operational level, and 3.) an abductive reasoning approach in form of a longitudinal case study to derive important indicator for the in-process activities of science-based partnership university-industry collaboration format. Thereby, the dissertation contributed to research and practice 1.) linkages of TM and OI practices to assimilate technologies at the operational level, 2.) insights about the impact of CS on manufacturing technologies and a related guideline to execute CS initiatives in this specific environment 3.) introduction of manufacturing readiness levels and further criteria into the TM and OI research field to support decision-makers in the firm in gaining a common understanding of the maturity of manufacturing technologies and, 4.) context-specific important indicators for science based university-industry collaboration projects and a holistic framework to connect TM with the university-industry collaboration approach The findings of this dissertation illustrate that OI formats can support the acceleration of time-to-market of manufacturing technologies and further improve the technical requirements of the product by leveraging external capabilities. The conclusions and implications made are intended to foster further research and improve managerial practices to evolve TM into an open collaborative context with interconnectivities between all internal and external involved technologies, individuals and organizational levels.},
  language  = {en}
}
@phdthesis{Eydam2021,
  author    = {Eydam, Ulrich},
  title     = {Essays on Macroeconomics},
  school      = {Universit{\"a}t Potsdam},
  pages     = {161},
  year      = {2021},
  abstract  = {This dissertation consists of four self-contained papers. Each paper deals with a specific macroeconomic question. The first paper assesses the distributional implications of environmental policies from a general equilibrium macroeconomic perspective. I develop a New-Keynesian model with several types of uncertainties and frictions that incorporates liquidity constrained households. The model is calibrated to match the German economy and the numerical results show that climate policy instruments can be associated with regressive welfare effects. Furthermore, the analysis shows that these effects can be mitigated through an appropriate revenue recycling scheme. The second paper deals with short-run inequality dynamics within a real business cycle model. An empirical evaluation shows that the cyclical components of income inequality, the capital share and real GDP are correlated. We develop tractable representation of common inequality indicators in the general equilibrium model and show that the observed pattern is driven by innovations in the capital share. A Bayesian estimation of the model for the United States with data for the period 1948 to 2017 indicates that the model provides a reasonable fit for the data and successfully replicates the observed pattern of cyclical correlations. The third paper empirically examines the effects of banking regulation on the risk-relationship between sovereigns and banks. Based on a comprehensive data set of the European banking sector, we find that the implementation of the novel European banking regulation framework significantly contributed to a weakening of the risk-link between sovereigns and banks.The fourth paper empirically examines the role of institutional experience for institutional development in transition economies. To capture institutional experience, we develop a novel index, based on historical country records. The results of cross-sectional and panel estimations suggest that institutional experience helps to explain the divergent economic and institutional development in transition economies after the dissolution of the Soviet Union.},
  language  = {de}
}
@phdthesis{AbuJarour2021,
  author    = {AbuJarour, Safa'a},
  title     = {Digital inclusion},
  doi       = {10.25932/publishup-51053},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-510535},
  school      = {Universit{\"a}t Potsdam},
  pages     = {217},
  year      = {2021},
  abstract  = {In this thesis, we tackle two social disruptions: recent refugee waves in Germany and the COVID-19 pandemic. We focus on the use of information and communication technology (ICT) as a key means of alleviating these disruptions and promoting social inclusion. As social disruptions typically lead to frustration and fragmentation, it is essential to ensure the social inclusion of individuals and societies during such times. In the context of the social inclusion of refugees, we focus on the Syrian refugees who arrived in Germany as of 2015, as they form a large and coherent refugee community. In particular, we address the role of ICTs in refugees' social inclusion and investigate how different ICTs (especially smartphones and social networks) can foster refugees' integration and social inclusion. In the context of the COVID-19 pandemic, we focus on the widespread unconventional working model of work from home (WFH). Our research here centers on the main constructs of WFH and the key differences in WFH experiences based on personal characteristics such as gender and parental status. We reveal novel insights through four well-established research methods: literature review, mixed methods, qualitative method, and quantitative method. The results of our research have been published in the form of eight articles in major information systems venues and journals. Key results from the refugee research stream include the following: Smartphones represent a central component of refugee ICT use; refugees view ICT as a source of information and power; the social connectedness of refugees is strongly correlated with their Internet use; refugees are not relying solely on traditional methods to learn the German language or pursue further education; the ability to use smartphones anytime and anywhere gives refugees an empowering feeling of global connectedness; and ICTs empower refugees on three levels (community participation, sense of control, and self-efficacy). Key insights from the COVID-19 WFH stream include: Gender and the presence of children under the age of 18 affect workers' control over their time, technology usefulness, and WFH conflicts, while not affecting their WFH attitudes; and both personal and technology-related factors affect an individual's attitude toward WFH and their productivity. Further insights are being gathered at the time of submitting this thesis. This thesis contributes to the discussion within the information systems community regarding how to use different ICT solutions to promote the social inclusion of refugees in their new communities and foster an inclusive society. It also adds to the growing body of research on COVID-19, in particular on the sudden workplace transformation to WFH. The insights gathered in this thesis reveal theoretical implications and future opportunities for research in the field of information systems, practical implications for relevant stakeholders, and social implications related to the refugee crisis and the COVID-19 pandemic that must be addressed.},
  language  = {en}
}
@phdthesis{Dai2021,
  author    = {Dai, Kuang},
  title     = {Gr{\"u}ndungen durch Akademikerinnen und Akademiker mit Migrationshintergrund},
  doi       = {10.25932/publishup-51121},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-511216},
  school      = {Universit{\"a}t Potsdam},
  pages     = {XIII, 366},
  year      = {2021},
  abstract  = {Die vorliegende Arbeit befasst sich mit Gr{\"u}ndungen durch Akademikerinnen und Akademiker mit Migrationshintergrund. Dabei wurden vor allem der Bezug dieser Gr{\"u}ndungen zu der Umwelt - dem Gr{\"u}nder{\"o}kosystem -, in der sie stattfinden, sowie ihre gegenseitigen Wechselwirkungen untersucht. Der Forschungsgegenstand ist die Schnittstelle aus den Bereichen Gr{\"u}ndungen, Migrantentum und Hochqualifikation. Der Fokus auf die sehr spezifische Zielgruppe Gr{\"u}ndungen durch Akademikerinnen und Akademiker mit Migrationshintergrund f{\"u}llt eine wichtige L{\"u}cke in der bisherigen Forschung. Methodisch gesehen bedient sich diese Arbeit eines theoretischen Bezugsrahmens. Dieser besteht aus der neoinstitutionalistischen Organisationstheorie (Meyer \& Rowan 1977), dem Ressourcenabh{\"a}ngigkeitsansatz (Pfeffer \& Salancik 1978) sowie dem sechs-dimensionalen Modell des Gr{\"u}nder{\"o}kosystems (Isenberg 2011). Gr{\"u}ndungen durch Akademikerinnen und Akademiker mit Migrationshintergrund m{\"u}ssen ihre interne Ausgestaltung an die Anforderung der institutionellen Umwelt anpassen, um die notwendige Legitimit{\"a}t zu sichern. Dadurch k{\"o}nnen bei unterschiedlichen Gr{\"u}ndungen isomorphe Organisationsstrukturen entstehen. Dar{\"u}ber hinaus k{\"o}nnen akademische Gr{\"u}ndende mit Migrationshintergrund durch interorganisatorische Aktivit{\"a}ten den Zugang zu nicht-substituierbaren Ressourcen f{\"u}r die Unternehmensgr{\"u}ndung bzw. Gesch{\"a}ftsentwicklung erm{\"o}glichen bzw. erleichtern. Daher ist die Kombination beider Theorien und des Erkl{\"a}rungsansatzes ein effektives und passendes Analysetool f{\"u}r die vorliegende Forschungsarbeit und schafft sowohl auf Mikro- als auch auf Makroebene f{\"u}r die Leserinnen und Leser ein vollst{\"a}ndiges Gesamtbild. Die vorliegende Arbeit beinhaltet nicht nur Daten aus Sekund{\"a}rquellen und bereits vorhandenen quantitativen Studien im deskriptiven Teil, sondern auch direkte Informationen durch eigene qualitative Untersuchung im empirischen Teil. Daf{\"u}r wurden insgesamt 23 semistrukturierte Experteninterviews durchgef{\"u}hrt. Durch die Inhaltsanalyse nach Mayring (2014) wurden mehrere Kategorien herausgefiltert; dazu z{\"a}hlen bspw. umweltbezogene Einflussfaktoren auf Legitimit{\"a}t sowie nicht-substituierbare Ressourcen f{\"u}r Gr{\"u}ndungen durch Akademikerinnen und Akademiker. Dar{\"u}ber hinaus wurden durch die Empirie einige Hypothesen f{\"u}r weitere quantitative Forschungen in der Zukunft aufgestellt und konkrete Handlungsempfehlungen f{\"u}r die Praxis gegeben.},
  language  = {de}
}