@phdthesis{Henike2019, author = {Henike, Tassilo}, title = {Cognition and entrepreneurial business modelling}, school = {Universit{\"a}t Potsdam}, pages = {150}, year = {2019}, abstract = {Although the search for promising business models (BMs) is crucial for every profit-oriented venture, searching for those challenges in particular entrepreneurs. Limited resources, missing expertise and absolute uncertainty call entrepreneurs to strongly rely on their cognition in searching for a promising BM. However, as prior studies have examined cognitive search activities in isolation and neglected cognitive differences, explanations of how cognitive factors affect the BM process and outcomes are thus far insufficient. Addressing the overall question of how BMs emerge, the dissertation contributes to the cognitive perspective in entrepreneurship and BM research. Building on the dual-process theory from cognitive psychology, the micro-foundations of managerial decision-making and insights from framing literature, this dissertation explicitly investigates the impacts of different cognitive dispositions, search activities and visual framing effects. The core assumption is that cognitive dispositions and entrepreneurs' searches for information determine their BM decision-making. Furthermore, BM visualisations have become popular instruments with which to explain and manage today's complex business interactions. As they abstract from reality, they can also unfold impacts on the cognitive processes. This dissertation offers new explanations to these aspects and consists of three studies and one reflective article. The first study explores the impacts of differences in search activities and cognitive dispositions in a qualitative study with 70 entrepreneurship students. The second qualitative study explores the cognitive impacts of 103 BM visualisations. Third, a quantitative PLS-SEM experiment with 197 entrepreneurs illuminates the link between BM visualisations and cognition. The reflective article expresses the results' meaning for the teaching of BMs. In sum, the studies have resulted in a new theory of stabilising factors explaining how cognitive dispositions, search activities and visual framing determine entrepreneurs' decisions to imitate or deviate from existing BMs. It indicates that the decision depends on the context-dependent strategic orientation and cognitive disposition-dependent cognitive safety, that is the correspondence between characteristics of cognitive dispositions and search activities. Moreover, the studies identified five visual framing effects that are independent of cognitive dispositions and prior experiences. This provides fertile contributions to the literature on BM methods and how BM visualisations affect decisions. Most importantly, BM visualisations provide an emotionally stabilising function to rational entrepreneurs, a cognitively stabilising function to experiential participants and do not affect indifferent participants in general.}, 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} } @inproceedings{RojahnGronau2024, author = {Rojahn, Marcel and Gronau, Norbert}, title = {Openness indicators for the evaluation of digital platforms between the launch and maturity phase}, series = {Proceedings of the 57th Annual Hawaii International Conference on System Sciences}, booktitle = {Proceedings of the 57th Annual Hawaii International Conference on System Sciences}, editor = {Bui, Tung X.}, publisher = {Department of IT Management Shidler College of Business University of Hawaii}, address = {Honolulu, HI}, isbn = {978-0-99813-317-1}, pages = {4516 -- 4525}, year = {2024}, abstract = {In recent years, the evaluation of digital platforms has become an important focus in the field of information systems science. The identification of influential indicators that drive changes in digital platforms, specifically those related to openness, is still an unresolved issue. This paper addresses the challenge of identifying measurable indicators and characterizing the transition from launch to maturity in digital platforms. It proposes a systematic analytical approach to identify relevant openness indicators for evaluation purposes. The main contributions of this study are the following (1) the development of a comprehensive procedure for analyzing indicators, (2) the categorization of indicators as evaluation metrics within a multidimensional grid-box model, (3) the selection and evaluation of relevant indicators, (4) the identification and assessment of digital platform architectures during the launch-to-maturity transition, and (5) the evaluation of the applicability of the conceptualization and design process for digital platform evaluation.}, language = {en} } @article{FilserTiberiusKrausetal.2020, author = {Filser, Matthias and Tiberius, Victor and Kraus, Sascha and Spitzer, Jonathan and Kailer, Norbert and Bouncken, Ricarda B.}, title = {Sharing economy}, series = {International journal of entrepreneurial venturing}, volume = {12}, journal = {International journal of entrepreneurial venturing}, number = {6}, publisher = {Inderscience Enterprises}, address = {Gen{\`e}ve}, issn = {1742-5360}, doi = {10.1504/IJEV.2020.112234}, pages = {665 -- 665}, year = {2020}, abstract = {The sharing economy has received increased attention in entrepreneurship research, resulting in a complex research landscape that is hard to overlook. Using a bibliometric analysis, we aim to further synthesise the field by: 1) summarising the most important definitions given by extant literature to capture the common understanding of the sharing economy; 2) identifying three thematic clusters based on the top 20 most cited publications; 3) conducting a citation analysis to show interdependencies between all authors; and 4) identifying the research methods used in the SE publications. Our results show: 1) many definitions with different emphases; 2) conceptualisation, collaborative consumption/ownership and the disruptive character of the sharing economy as three dominant research clusters; 3) a fairly even citation practice allowing for unbiased future research; and 4) that conceptual publications and quantitative as well as qualitative studies are fairly evenly published.}, language = {en} }