@misc{BenlianWienerCrametal.2022, author = {Benlian, Alexander and Wiener, Martin and Cram, W. Alec and Krasnova, Hanna and Maedche, Alexander and Mohlmann, Mareike and Recker, Jan and Remus, Ulrich}, title = {Algorithmic management}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, number = {6}, issn = {2363-7005}, doi = {10.25932/publishup-60711}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-607112}, pages = {17}, year = {2022}, language = {en} } @misc{Wegmann2022, author = {Wegmann, Simone}, title = {Policy-making power of opposition players}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, number = {1}, issn = {1867-5808}, doi = {10.25932/publishup-56651}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-566516}, pages = {27}, year = {2022}, abstract = {The organisation of legislative chambers and the consequences of parliamentary procedures have been among the most prominent research questions in legislative studies. Even though democratic elections not only lead to the formation of a government but also result in an opposition, the literature has mostly neglected oppositions and their role in legislative chambers. This paper proposes to fill this gap by looking at the legislative organisation from the perspective of opposition players. The paper focuses on the potential influence of opposition players in the policy-making process and presents data on more than 50 legislative chambers. The paper shows considerable variance of the formal power granted to opposition players. Furthermore, the degree of institutionalisation of opposition rights is connected to electoral systems and not necessarily correlated with other institutional characteristics such as regime type or the size of legislative chambers.}, 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} } @misc{UllrichVladovaEigelshovenetal.2022, author = {Ullrich, Andr{\´e} and Vladova, Gergana and Eigelshoven, Felix and Renz, Andr{\´e}}, title = {Data mining of scientific research on artificial intelligence in teaching and administration in higher education institutions}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, number = {160}, issn = {1867-5808}, doi = {10.25932/publishup-58907}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-589077}, pages = {18}, year = {2022}, abstract = {Teaching and learning as well as administrative processes are still experiencing intensive changes with the rise of artificial intelligence (AI) technologies and its diverse application opportunities in the context of higher education. Therewith, the scientific interest in the topic in general, but also specific focal points rose as well. However, there is no structured overview on AI in teaching and administration processes in higher education institutions that allows to identify major research topics and trends, and concretizing peculiarities and develops recommendations for further action. To overcome this gap, this study seeks to systematize the current scientific discourse on AI in teaching and administration in higher education institutions. This study identified an (1) imbalance in research on AI in educational and administrative contexts, (2) an imbalance in disciplines and lack of interdisciplinary research, (3) inequalities in cross-national research activities, as well as (4) neglected research topics and paths. In this way, a comparative analysis between AI usage in administration and teaching and learning processes, a systematization of the state of research, an identification of research gaps as well as further research path on AI in higher education institutions are contributed to research.}, language = {en} } @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} } @misc{NeumannTiberiusBiendarra2022, author = {Neumann, Daniel and Tiberius, Victor and Biendarra, Florin}, title = {Adopting wearables to customize health insurance contributions: a ranking-type Delphi}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, number = {153}, issn = {1867-5808}, doi = {10.25932/publishup-56672}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-566723}, pages = {7}, year = {2022}, abstract = {Background Wearables, as small portable computer systems worn on the body, can track user fitness and health data, which can be used to customize health insurance contributions individually. In particular, insured individuals with a healthy lifestyle can receive a reduction of their contributions to be paid. However, this potential is hardly used in practice. Objective This study aims to identify which barrier factors impede the usage of wearables for assessing individual risk scores for health insurances, despite its technological feasibility, and to rank these barriers according to their relevance. Methods To reach these goals, we conduct a ranking-type Delphi study with the following three stages. First, we collected possible barrier factors from a panel of 16 experts and consolidated them to a list of 11 barrier categories. Second, the panel was asked to rank them regarding their relevance. Third, to enhance the panel consensus, the ranking was revealed to the experts, who were then asked to re-rank the barriers. Results The results suggest that regulation is the most important barrier. Other relevant barriers are false or inaccurate measurements and application errors caused by the users. Additionally, insurers could lack the required technological competence to use the wearable data appropriately. Conclusion A wider use of wearables and health apps could be achieved through regulatory modifications, especially regarding privacy issues. Even after assuring stricter regulations, users' privacy concerns could partly remain, if the data exchange between wearables manufacturers, health app providers, and health insurers does not become more transparent.}, 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} } @masterthesis{Beel2022, type = {Bachelor Thesis}, author = {Beel, Leon}, title = {Teilen von Wissen im Offboarding in der {\"o}ffentlichen Verwaltung Deutschlands}, issn = {2190-4561}, doi = {10.25932/publishup-56210}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-562108}, school = {Universit{\"a}t Potsdam}, pages = {IV, 44}, year = {2022}, abstract = {Die vorliegende Arbeit untersucht, inwiefern extrapersonale Einflussfaktoren das Verhalten der Wissensteilung im Offboarding in der {\"o}ffentlichen Verwaltung Deutschlands beeinflussen. Hier besteht eine Forschungsl{\"u}cke, die es insbesondere vor dem Hintergrund einer nahenden Pensionierungswelle und der daraus resultierenden Gefahr eines massiven Wissensverlusts zu schließen gilt. Zu diesem Zweck werden unterschiedliche Analyseebenen verkn{\"u}pft, Einflussfaktoren aus der Literatur herausgearbeitet und in die Theorie des geplanten Verhaltens eingebunden. Anschließend werden Hypothesen formuliert, wie extrapersonale Einflussfaktoren, die sich aus der Verwaltung als organisationalen Kontext und dem Prozess des Offboarding ergeben, das Verhalten der Wissensteilung f{\"o}rdern oder hemmen. Die Testung der Hypothesen erfolgt durch die Erhebung und Auswertung qualitativer Interviewdaten. Daraus resultierende Erkenntnisse verdeutlichen, dass die anstehende Pensionierungswelle in der deutschen Verwaltung eine st{\"a}rkere Ausrichtung des organisationalen Wissensmanagements auf den Prozess des Offboarding und dessen Gestaltung erfordert, um Wissensverluste zu reduzieren.}, language = {de} } @masterthesis{Koenig2022, type = {Bachelor Thesis}, author = {K{\"o}nig, Alexander}, title = {Change-Prozesse in der {\"o}ffentlichen Verwaltung - Der Einfluss von direkten Vorgesetzten auf die Einstellung von Mitarbeitenden}, issn = {2190-4561}, doi = {10.25932/publishup-56571}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-565713}, school = {Universit{\"a}t Potsdam}, pages = {IV, 35}, year = {2022}, abstract = {Die {\"o}ffentliche Verwaltung wird in den n{\"a}chsten Jahrzehnten große Reformen durchlaufen m{\"u}ssen. Ein wichtiger Einflussfaktor f{\"u}r das Gelingen von geplanten organisatorischen Ver{\"a}nderungen ist auch im Verwaltungskontext die Einstellung von Mitarbeiter*innen gegen{\"u}ber diesem Wandel. Hier existieren gerade bei Mitarbeiter*innen ohne F{\"u}hrungsverantwortlichkeit h{\"a}ufig negative Einstellungen gegen{\"u}ber Ver{\"a}nderungen. Dies wird auch mit dem hohen Stress in diesen Situationen in Verbindung gebracht. Besonders direkte F{\"u}hrungskr{\"a}fte sind hier eine wichtige Einflussgr{\"o}ße auf die Einstellungen. Die folgende Bachelorarbeit besch{\"a}ftigt sich dementsprechend mit diesen Einfluss und konzentriert sich dabei auf den Effekt der sozialen Unterst{\"u}tzung dieser F{\"u}hrungskr{\"a}fte auf die Einstellung der Mitarbeiter*innen, da soziale Unterst{\"u}tzung einen nachgewiesenen mildernden Effekt auf den wahrgenommenen Stress besitzt. Soziale Unterst{\"u}tzung wird nach der Social-Support-Theorie in die dort identifizierten vier Unter-arten differenziert, namentlich Appraisal, Emotional, Informational und Instrumental Support. Im Rahmen einer Literaturanalyse konnte f{\"u}r zwei der vier Supportarten (Emotional, Informational) ein Einfluss nachgewiesen werden. Auch f{\"u}r die anderen Supportarten bestehen Hinweise auf einen positiven Effekt. Dies weist darauf hin, dass direkte F{\"u}hrungskr{\"a}fte w{\"a}hrend Reformen der {\"o}ffentlichen Verwaltung als Quellen der Unterst{\"u}tzung fungieren und mittels dieser die Einstellung der Mitarbeiter*innen gegen{\"u}ber Wandel positiv beeinflussen. Dar{\"u}ber hinaus k{\"o}nnen die Unterschiede der Ergebnisse nach Supportart darauf hinweisen, dass situationsspezifisch ver-schiedene Unterst{\"u}tzung mehr oder weniger relevant ist. F{\"u}r F{\"u}hrungskr{\"a}fte in diesem Kontext verweisen die Ergebnisse der Arbeit darauf, dass der unterst{\"u}tzende Kontakt mit direkt Untergebenen in Phasen des Wandels wichtig und die Anforderungen breiter als die reine Anweisung dieser Untergebenen sind.}, language = {de} } @misc{OrlandPadubrin2022, author = {Orland, Andreas and Padubrin, Max}, title = {Is there a gender hiring gap in academic economics? Evidence from a network analysis}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, volume = {9}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, edition = {2}, publisher = {Universit{\"a}tsverlag Potsdam}, address = {Potsdam}, issn = {1867-5808}, doi = {10.25932/publishup-55884}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-558844}, pages = {1 -- 9}, year = {2022}, abstract = {We collect a network dataset of tenured economics faculty in Austria, Germany and Switzerland. We rank the 100 institutions included with a minimum violation ranking. This ranking is positively and significantly correlated with the Times Higher Education ranking of economics institutions. According to the network ranking, individuals on average go down about 23 ranks from their doctoral institution to their employing institution. While the share of females in our dataset is only 15\%, we do not observe a significant gender hiring gap (a difference in rank changes between male and female faculty). We conduct a robustness check with the Handelsblatt and the Times Higher Education ranking. According to these rankings, individuals on average go down only about two ranks. We do not observe a significant gender hiring gap using these two rankings (although the dataset underlying this analysis is small and these estimates are likely to be noisy). Finally, we discuss the limitations of the network ranking in our context.}, 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} } @masterthesis{Liebsch2022, type = {Bachelor Thesis}, author = {Liebsch, Emilia}, title = {Einfluss von Digitalisierung auf die {\"o}ffentliche Verwaltung}, publisher = {Universit{\"a}tsverlag Potsdam}, address = {Potsdam}, doi = {10.25932/publishup-54153}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-541536}, school = {Universit{\"a}t Potsdam}, pages = {I, 35}, year = {2022}, abstract = {Die vorliegende Bachelorarbeit besch{\"a}ftigt sich mit dem Einfluss von Digitalisierung auf die {\"o}ffentliche Verwaltung in Deutschland. Den konkreten Untersuchungsschwerpunkt bilden organisationale Routinen. Die Arbeit gibt einen konzeptionellen {\"U}berblick {\"u}ber die Begriffe Digitalisierung und organisationale Routinen und leitet daraus Arbeitsdefinitionen ab. Der theoretisch dargelegte Zusammenhang zwischen den beiden Ph{\"a}nomenen wird im Rahmen von drei teilstrukturierten Interviews mit Mitarbeitenden aus unterschiedlichen {\"o}ffentlichen Verwaltungen untersucht. Die herausgearbeiteten Definitionen wurden den Interviewten vorgestellt und durch ein Repertoire an Fragen die Wahrnehmung des Digitalisierungsstandes i.V.m. Routinen abgefragt. Die Ergebnisse zeigen, dass digitaler Wandel und Routinen in jedem der interviewten Fachbereiche zumindest unterbewusst wahrgenommen wird. Digitalisierung und organisationale Routinen stehen in Wechselwirkung zueinander, da die wiederholte routinierte Ausf{\"u}hrung von T{\"a}tigkeiten die Implementierung von Digitalisierung beg{\"u}nstigt. Dar{\"u}ber hinaus f{\"u}hrt digitaler Wandel zur Ver{\"a}nderung von Routinen, welche mit einem anf{\"a}nglichen Mehraufwand verbunden ist. St{\"o}rungen bei der Implementierung von Digitalisierung bringen eine Starrheit von Routinen mit sich u.A. durch eine fehlende Bereitschaft der Mitarbeitenden. Die grundlegend bestehende Wechselwirkung ist ausschlaggebend f{\"u}r die Schnittstellen zwischen Digitalisierung und organisationalen Routinen in der {\"o}ffentlichen Verwaltung.}, 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} } @misc{LogesTiberius2022, author = {Loges, Klara and Tiberius, Victor}, title = {Implementation Challenges of 3D Printing in Prosthodontics}, series = {Postprints der Universit{\"a}t Potsdam Wirtschafts- und Sozialwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam Wirtschafts- und Sozialwissenschaftliche Reihe}, doi = {10.25932/publishup-54402}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-544024}, pages = {12}, year = {2022}, abstract = {The reduction in cost and increasing benefits of 3D printing technologies suggest the potential for printing dental prosthetics. However, although 3D printing technologies seem to be promising, their implementation in practice is complicated. To identify and rank the greatest implementation challenges of 3D printing in dental practices, the present study surveys dentists, dental technicians, and 3D printing companies using a ranking-type Delphi study. Our findings imply that a lack of knowledge is the most crucial obstacle to the implementation of 3D printing technologies. The high training effort of staff and the favoring of conventional methods, such as milling, are ranked as the second and third most relevant factors. Investment costs ranked in seventh place, whereas the lack of manufacturing facilities and the obstacle of print duration ranked below average. An inclusive implementation of additive manufacturing could be achieved primarily through the education of dentists and other staff in dental practices. In this manner, production may be managed internally, and the implementation speed may be increased.}, language = {en} }