Forschung an der Professur BWL X
Forschungsschwerpunkte: |
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Die Forschung an der Professur Technologie-, Innovationsmanagement und Gründungsmanagement (BWL X) ist grundlagen- und anwendungsorientiert.
Folgende Ziele werden insbesondere verfolgt:
Unsere Themenschwerpunkte sind dabei:
Laufende Projekte
Dissertation Working Title: "Examining the Human Factor in Entrepreneurial Settings" Entrepreneurial decision-making is profoundly shaped by the psychological characteristics of founders, yet the precise mechanisms through which personality influences venture outcomes remain underexplored. This dissertation offers a rigorous, multi-method investigation into the human dynamics of entrepreneurship, utilizing conjoint analysis, multi-level modeling, archival data and meta-analysis to deepen our understanding of entrepreneurial behavior. The first of four papers presents an conjoint analysis of co-founder selection, highlighting the subtle yet powerful role of dark triad traits—narcissism, Machiavellianism, and psychopathy—in shaping entrepreneurial partnerships. His second study examines the complex dynamics of equity splits among co-founders, employing a multi-level analytical approach to uncover how personality and negotiation strategies drive early-stage venture agreements. His third project, conducted in collaboration with two esteemed U.S. scholars, leverages a dataset of over 2,200 grant applications to analyze how entrepreneurial storytelling influences funders’ perceptions of team quality. Complementing his prior work, his fourth study employs a meta-analytical approach to examine the relationship between dark triad traits and social entrepreneurship, drawing on social exchange theory. By combining methodological innovation with theoretical depth, this dissertation advances scholarly discussions in entrepreneurship while providing insights that resonate with entrepreneurs and their decision-making processes. For further information reach out to: Yannick Amend
Dissertation Working Title: „An Investigation of Decision Failures in Innovation Management“ In his research, Mr Nickel deals with decision behaviour and decision errors in innovation management, especially in the development of new products. He is particularly interested in the human side of innovation management. For the first study of his dissertation, he plans to conduct a systematic literature review on decision errors in new product introduction to develop a holistic and better understanding of the antecedents and consequences of decision errors in innovation management. In the second study, he focuses on how past bad decisions (Type 1 vs. Type 2 Errors) affect the occurrence of Escalation of Commitment, the investing of resources in a failing (new product development) project. Examining how individuals learn from past failures through two different types of learning, namely learning through their own experience (experiential learning) and learning through observation of others (vicarious learning). Furthermore, in the context of erroneous decisions and the learning behaviour of individuals, he considers additional cognitive and emotional factors as possible moderators and mediators involved in the learning and subsequent decision-making processes. For further information reach out to Julian Nickel
Dissertation Working Title: "An Investigation of Human Interaction with AI-based Service Technologies" In service industries, the marketing mix consists of 7 dimensions ("7Ps") after People, Process and Physical evidence have been added. This extension underscores the importance of service employees in service delivery. As artificial intelligence technology advances, AI has become an integral part of the service industry. While it can assist service employees and enhance their performances, it can substitute service employees by being more consistent, objective, and available as well as by mimicking human's language and behavior well. This research project tries to investigate whether humans can treat AI agents, such as service robots and chatbots, the same way as how they treat fellow humans and which implications it might have for various stakeholders in the service industry. For further information reach out to: Ricky Herman
Dissertation Working Title: "An Investigation of Generative Artificial Intelligence in the Workplace" Generative Artificial Intelligence (GenAI) is transforming how work is organized, decisions are made, and knowledge is produced. Yet its impact depends not only on technological capabilities, but on how individuals perceive, interpret, and integrate these systems into everyday professional practice. My research investigates the human side of GenAI in organizational contexts. I explore the psychological, social, and cognitive mechanisms that shape adoption, reliance, and sustained engagement with generative systems. In particular, I examine how emotions, workplace norms, and individual differences influence how AI is used and experienced at work. By integrating perspectives from Human–Computer Interaction and innovation research, my work aims to inform the development of inclusive, human-centered GenAI systems that support diverse users and enable responsible integration in professional environments. For further information reach out to: Vincent Hornfischer
Alumni Dissertationen:
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