@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{Schmeiss2019, author = {Schmeiss, Jessica}, title = {Designing value architectures for emerging technologies}, school = {Universit{\"a}t Potsdam}, pages = {135}, year = {2019}, abstract = {The business model has emerged as a construct to understand how firms drive innovation through emerging technologies. It is defined as the 'architecture of the firm's value creation, delivery and appropriation mechanisms' (Foss \& Saebi, 2018, p. 5). The architecture is characterized by complex functional interrelations between activities that are conducted by various actors, some within and some outside of the firm. In other words, a firm's value architecture is embedded within a wider system of actors that all contribute to the output of the value architecture. The question of what drives innovation within this system and how the firm can shape and navigate this innovation is an essential question within innova- tion management research. This dissertation is a compendium of four individual research articles that examine how the design of a firm's value architecture can fa- cilitate system-wide innovation in the context of Artificial Intelligence and Block- chain Technology. The first article studies how firms use Blockchain Technology to design a governance infrastructure that enables innovation within a platform ecosystem. The findings propose a framework for blockchain-enabled platform ecosystems that address the essential problem of opening the platform to allow for innovation while also ensuring that all actors get to capture their share of the value. The second article analyzes how German Artificial Intelligence startups design their business models. It identifies three distinct types of startup with dif- ferent underlying business models. The third article aims to understand the role of a firm's value architecture during the socio-technical transition process of Arti- ficial Intelligence. It identifies three distinct ways in which Artificial Intelligence startups create a shared understanding of the technology. The last article exam- ines how corporate venture capital units configure value-adding services for their venture portfolios. It derives a taxonomy of different corporate venture capital types, driven by different strategic motivations. Ultimately, this dissertation provides novel empirical insights into how a firm's value architecture determines it's role within a wider system of actors and how that role enables the firm to facilitate innovation. In that way, it contributes to both business model and innovation management literature.}, 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{Heger2021, author = {Heger, Tobias}, title = {Foresight in networks}, doi = {10.25932/publishup-50385}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-503851}, school = {Universit{\"a}t Potsdam}, pages = {XVII, 247}, year = {2021}, abstract = {The goal of this dissertation is to contribute to the corporate foresight research field by investigating capabilities, practices, and challenges particularly in the context of interorganizational settings and networked organizations informed by the theoretical perspectives of the relational view and dynamic capabilities. Firms are facing an increasingly complex environment and highly complex product and service landscapes that often require multiple organizations to collaborate for innovation and offerings. Public-private partnerships that are targeted at supporting this have been introduced by policy-makers in the recent past. One example for such a partnership is the European Institute of Innovation and Technology (EIT) with multiple Knowledge and Innovation Communities (KICs). The EIT has been initiated by the European Commission in 2008 with the ambition of addressing grand societal challenges, driving innovativeness of European companies, and supporting systemic change. The resulting network organizations are managed similarly to corporations with managers, boards, and firm-like governance structures. EIT Digital as one of the EIT KICs are a central case of this work. Research in this dissertation was based on the expectation that corporate foresight activities will increasingly be embedded in such interorganizational settings and a) can draw on such settings for the benefit of themselves and b) may contribute to shared visions, trust building and planning in these network organizations. In this dissertation the EIT Digital (formerly EIT ICT Labs) is a central case, supplemented with insights from three additional cases. I draw on the rich theoretical understanding of the resource-based view, dynamic capabilities, and particularly the relational view to further the discussion in the field of corporate foresight—defined as foresight in organizations in contrast to foresight with a macro-economical perspective—towards a relational understanding. Further, I use and revisit Rohrbeck's Maturity Model for the Future Orientation of Firms as conceptual frame for corporate foresight in interorganizational settings. The analyses—available as four individual publications complemented by on additional chapter—are designed as exploratory case studies based on multiple data sources including an interview series with 49 persons, two surveys (N=54, n=20), three supplementary interviews, access to key documents and presentations, and observation through participation in meetings and activities of the EIT Digital. This research setting allowed me to contribute to corporate foresight research and practice by 1) integrating relational constructs primarily drawn from the relational view and dynamic capabilities research into the corporate foresight research stream, 2) exploring and understanding capabilities that are required for corporate foresight in interorganizational and networked organizations, 3) discussing and extending the Maturity Model for network organizations, and 4) to support individual organizations to tie their foresight systems effectively to networked foresight systems.}, language = {en} } @phdthesis{Huettel, author = {H{\"u}ttel, Alexandra}, title = {The role of human values in sustainable consumption}, school = {Universit{\"a}t Potsdam}, language = {en} } @phdthesis{Menning2020, author = {Menning, Axel}, title = {Koh{\"a}renz und Kreativit{\"a}t}, school = {Universit{\"a}t Potsdam}, pages = {225}, year = {2020}, language = {de} } @phdthesis{Taheri2022, author = {Taheri, Mana}, title = {The impact of the socio-cultural context on Design Thinking education}, doi = {10.25932/publishup-54259}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-542599}, school = {Universit{\"a}t Potsdam}, pages = {xii, 167}, year = {2022}, abstract = {The demand for learning Design Thinking (DT) as a path towards acquiring 21st-century skills has increased globally in the last decade. Because DT education originated in the Silicon Valley context of the d.school at Stanford, it is important to evaluate how the teaching of the methodology adapts to different cultural contexts.The thesis explores the impact of the socio-cultural context on DT education. DT institutes in Cape Town, South Africa and Kuala Lumpur, Malaysia, were visited to observe their programs and conduct 22 semistructured interviews with local educators regarding their adaption strategies. Grounded theory methodology was used to develop a model of Socio-Cultural Adaptation of Design Thinking Education that maps these strategies onto five dimensions: Planning, Process, People, Place, and Presentation. Based on this model, a list of recommendations is provided to help DT educators and practitioners in designing and delivering culturally inclusive DT education.}, language = {en} } @phdthesis{Schmid2021, author = {Schmid, Sylvia}, title = {Zwischen Kooperation und Wettbewerb - Zur Zusammenarbeit in naturwissenschaftlichen Forschungsteams in außeruniversit{\"a}ren Forschungseinrichtungen}, doi = {10.25932/publishup-50177}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-501772}, school = {Universit{\"a}t Potsdam}, pages = {328, XXIV}, year = {2021}, abstract = {Trotz der hohen innovationspolitischen Bedeutung der außeruniversit{\"a}ren Forschungseinrichtungen (AUF) sind sie bisher selten Gegenstand empirischer Untersuchungen. Keine der bisher vorliegenden Arbeiten legt ihren Fokus auf die Zusammenarbeit von Wissenschaftler:innen in Forschungsteams, obwohl wissenschaftliche Zusammenarbeit ein weitgehend unerforschtes Gebiet ist. Dies verwundert insofern, da gerade innovative und komplexe Aufgaben, wie sie im Bereich der Forschung bestehen, das kreative Potenzial Einzelner sowie eine gut funktionierende Kooperation der einzelnen Individuen ben{\"o}tigen. Die Zusammenarbeit von Wissenschaftler:innen in den AUF findet in einem kompetitiven Umfeld statt. Einerseits stehen die AUF auf Organisationsebene im Wettbewerb zueinander und konkurrieren um Forschungsgelder und wissenschaftliches Personal. Andererseits ist die kompetitive Einwerbung von Drittmitteln f{\"u}r Wissenschaftler:innen essentiell, um Leistungen, gemessen an hochrangigen Publikationen und Drittmittelquoten, f{\"u}r die eigene Karriere zu erbringen. Ein zunehmender Anteil an Drittmittelfinanzierung in den Einrichtungen hat zudem Auswirkungen auf die Personalpolitik und die Anzahl befristeter Arbeitsverh{\"a}ltnisse. Gleichzeitig wird Forschungsf{\"o}rderung h{\"a}ufig an Kollaborationen von Wissenschaftler:innen gekn{\"u}pft und bei Publikationen und Forschungsergebnissen zeigen Studien, dass diese {\"u}berwiegend das Resultat von mehreren Personen sind. Dieses Spannungsfeld zwischen Zusammenarbeit und Wettbewerb wird verst{\"a}rkt durch die fehlenden M{\"o}glichkeiten f{\"u}r den wissenschaftlichen Nachwuchs in der Wissenschaft zu bleiben. Auch wenn die Bundesregierung auf diese Herausforderungen reagiert, muss der Einzelne seinen Weg zwischen Zusammenarbeit und Konkurrenz finden. Zielsetzung dieser Arbeit ist es, nachfolgende Forschungsfragen zu beantworten: 1. Wie k{\"o}nnen naturwissenschaftliche Forschungsteams in AUF charakterisiert werden? 2. Wie agiert die einzelne Forscherin/ der einzelne Forscher im Spannungsfeld zwischen Kooperation und Wettbewerb? 3. Welche Potentiale und Hemmnisse lassen sich auf Individual-, Team- und Umweltebene f{\"u}r eine erfolgreiche Arbeit von Forschungsteams in AUF ausmachen? Um die Forschungsfragen beantworten zu k{\"o}nnen, wurde eine empirische Untersuchung im Mixed Method Design, bestehend aus einer deutschlandweiten Onlinebefragung von 574 Naturwissenschaftler:innen in AUF und qualitativen Interviews mit 122 Teammitgliedern aus 20 naturwissenschaftlichen Forschungsteams in AUF, durchgef{\"u}hrt. Die Ergebnisse zeigen, dass die Teams eher als Arbeitsgruppen bezeichnet werden k{\"o}nnen, da v.a. in der Grundlagenforschung kein gemeinsames Ziel als vielmehr ein gemeinsamer inhaltlicher Rahmen vorliegt, in dem die Forschenden ihre individuellen Ziele verfolgen. Die Arbeit im Team wird {\"u}berwiegend als positiv und kooperativ beschrieben und ist v.a. durch gegenseitige Unterst{\"u}tzung bei Problemen und weniger durch einen thematisch wissenschaftlichen Erkenntnisprozess gepr{\"a}gt. Dieser findet vielmehr in Form kleiner Untergruppen innerhalb der Arbeitsgruppe und vor allem in enger Abstimmung mit der Teamleitung (TL) statt. Als wettbewerbsversch{\"a}rfend werden vor allem organisationale Rahmenbedingungen, wie Befristungen und der Flaschenhals, thematisiert. Die TL nimmt die zentrale Rolle im Team ein, tr{\"a}gt die wissenschaftliche, finanzielle und personelle Verantwortung und muss den Forderungen der Organisation gerecht werden. Promovierende konzentrieren sich fast ausschließlich auf ihre Qualifizierungsarbeit. Bei Postdocs ist ein Spannungsfeld zu erkennen, da sie eigene Projekte und Ziele verfolgen, die neben den Anforderungen der TL bestehen. Die Gatekeeperfunktion der TL wird gest{\"a}rkt durch ihre Rolle bei der Weitergabe von karriererelevanten Informationen im Team, z.B. bei anstehenden Konferenzen. Sie hat die wichtigen Kontakte, sorgt f{\"u}r die Vernetzung des Teams und ist f{\"u}r die Netzwerkpflege zust{\"a}ndig. Der wissenschaftliche Nachwuchs verl{\"a}sst sich bei seinen Aufgaben und den karriererelevanten Faktoren sehr auf ihre Unterst{\"u}tzung. Nicht-wissenschaftliche Mitarbeitende gilt es st{\"a}rker zu ber{\"u}cksichtigen, dies sowohl in ihrer Funktion in den Teams als auch in der Gesamtorganisation. Sie sind die zentralen Ansprechpersonen des wissenschaftlichen Personals und sorgen f{\"u}r eine Kontinuit{\"a}t bei der Wissensspeicherung und -weitergabe. F{\"u}r die Organisationen gilt es, unterst{\"u}tzende Rahmen-, Arbeits- und Aufgabenbedingungen f{\"u}r die TL zu schaffen und den wissenschaftlichen Nachwuchs bei einer fr{\"u}hzeitigen Verantwortung f{\"u}r wissenschaftliche und karriererelevante Aufgaben zu unterst{\"u}tzen. Daf{\"u}r bedarf es verbesserter Personalentwicklungskonzepte und -angebote. Dar{\"u}ber hinaus gilt es, Kooperationsm{\"o}glichkeiten innerhalb der Einrichtung und zwischen den Gruppen zu schaffen, z.B. durch offene R{\"a}ume und Netzwerkm{\"o}glichkeiten, und innovative Arbeitsumgebungen zu f{\"o}rdern, um neue Formen einer innovationsfreundlichen Wissenschaftskultur zu etablieren.}, language = {de} }