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This publication-based dissertation examines the phenomenon of incumbent adaptation to changing environments with a dynamic capabilities perspective. Its core consists of four research papers that are self-contained and have been developed to be published in double-blind peer-reviewed academic journals. This intellectual body is framed with an introduction (Section 1) that introduces the current state of research on dynamic capabilities, summarizes the four research papers, and presents the current publication status of the work; the concluding Section 6 presents the overall contributions, limitations, and avenues for future research. The first research paper (Section 2) is a systematic literature review of empirical studies that identify idiosyncratic dynamic capabilities in practice. Its main finding is a taxonomy of dynamic capabilities that introduces 19 dynamic subcapabilities and connects them to existing conceptual literature. The second research paper (Section 3) is a longitudinal single case study of Axel Springer, a leading media corporation that has exercised dynamic capabilities to convert from a print publisher to an internet company. The study finds iterations, overlaps, and interconnections between sensing, seizing, and transforming. Based on the findings, a generalized conceptual model for dynamic capabilities in incumbent adaptation is constructed. For the third research paper (Section 4) an action research approach is applied to explore how managers’ mental models can engender erroneous resource cognition. The study discovers five cognitive biases that may distort resource cognition. The fourth research paper (Section 5) is a teaching case study building on the strategic challenge for Somedia, a Swiss media firm, to diversify from its declining legacy business by leveraging its resources and capabilities. This publication-based dissertation enhances the understanding of incumbent adaptation and presents applicable implications and recommendations for practitioners.
Value creation through corporate venture capital in the collaboration of start-ups and corporations
(2021)
Germany’s national league, the Bundesliga (BL), has been a global forerunner almost since its establishment in 1963 (Grabowski, 2018). Yet, even with historical attendance rates and annual record-breaking revenues, football is currently at a tipping point. To make positive contributions to society, long-term mindsets, and entrepreneurial orientation (EO) (Hammerschmidt et al., 2020) are key, which pushes football clubs to transform into football companies (FCs) (Zülch, 2020) or sport business clubs (SBCs) (Jovanov, 2021). Accordingly, this Dissertation proposes theory, qualitative research, and quantitative analysis relating to four main themes: club success factors, management framework robustness, sustainability management, and professional football benchmarks. Combining theoretical underpinnings and practical understanding strengthened the relevance and reliability of the research, further giving the findings robust application to the current environment and outlook of professional football management in Germany, Europe, and beyond.
The dissertation comprises four manuscripts that aim to enhance the knowledge on strategic man-agement of professional football clubs within Germany, especially with regard to the prediction of success. Apart from manuscript A which is a review of extant literature of football manage-ment variables leading to success, and manuscript B, which is a qualitative investigation on sus-tainable success factors affecting professional football clubs, the remaining manuscripts C and D comprise two empirical studies; they can be further partitioned in manuscript C, investigating the prediction of failure with the worst-case scenario of bankruptcy and manuscript D, covering the prediction of failure and success in a proof of concept based on machine learning.
This publication-based dissertation examines human-related success factors for the implementation and application of data analytics tools and methods within the decision-making process of organizations. Generated insights on human-related factors are outlined and described in six chapters. First, a general introduction to the subject is provided and the research is positioned within a broader overall context. Additionally, the first section comprises a summary of the research papers included, along with publication information. Chapter 2 presents a systematic literature review summarizing the capabilities of Big Data analytics (BDA) with regard to firm performance. Five key capability clusters have been identified to categorize all relevant human-related capabilities across existing research to date. Chapter 3 presents an empirical research paper examining the relevant managerial aspects that must be considered when shifting from intuitive to analytics-based decision-making. Introducing a six-factor framework, the chapter outlines the findings of an indepth single case study of a German manufacturing organization that has already implemented analytical methods and tools within its decision processes. Chapter 4 contains the second empirical paper, which outlines the crucial role that executives play within the process of a firm’s digital transformation toward the application of analytics. Based on conducted interviews, four managerial archetypes are identified, with detailed descriptions of their characteristics, capabilities, and contribution to transformation. Chapter 5 introduces a teaching case study that sheds light on best practices relevant to the application of analytics. This case study describes the most critical factors for success in the use of an AI tool using an example from Wilo, a leading German manufacturer of pumps and pump systems. Finally, Chapter 6 summarizes the findings of this publication-based dissertation, outlines its contributions to academia and practice, and presents its limitations and potential avenues for future research.
Entrepreneurial management
(2022)
This publication-based dissertation examines (corporate) venturing and business model innovation intending to derive implications for entrepreneurial management in firms. To achieve this, four self-contained research papers have been developed which are the core of this dissertation. The first section serves as a general introduction, outlines the motivation for each of the research topics, and presents a summary of the research papers and their publication status. The first research paper (Section 2) is a systematic literature review that summarizes and structures three decades of research on the field of success measurement of corporate venturing activities. It identifies three structural dimensions which allow the creation of nine meaning clusters by which the existing measurement approaches can be grouped and compared. Additionally, the review reveals the heterogeneity of these approaches and the unique measurement items which they include. The third section is an empirical study on new venture creation activities in the early stage, based on 112 interviews with novice and experienced entrepreneurs. It defines three dimensions of entrepreneurial activity, namely, Entrepreneurial Alignment, Resource Enhancement, and Value Generation, and finds 67 actions, which differ across these groups in type and sequence. Section four is a single case study in business model innovation that investigates the recent rebranding of “Facebook” to “Meta”. It finds that, despite the strong communication efforts and the resulting internal and external signaling effects, this change does not correspond to a radical business innovation pattern. The fourth research study (Section 5) is a conceptual study that develops an integrated framework for business model innovation in service industries, based on research on the tourism industry. It highlights the limitations of siloed approaches under the influence of internal and external challenges such as industry dynamics and resource constraints. Section six summarizes the dissertation, highlighting the overall contributions for research and practice, and discusses the limitations and directions for future research.