Tracing Career Trajectories of Corporate Entrepreneurs: Identifying Patterns & Future Research
- Corporate Entrepreneurs have become an important resource for established companies to drive entrepreneurial behavior for new types of innovation and cultural change. Identifying and hiring employees with tailored competences and behaviors of a Corporate Entrepreneur is critical given that most corporates struggle to find the knowledge and capabilities needed to develop new types of ventures. The knowledge of CVs is described as relevant for hiring and developing employees but has not yet been sufficiently considered in the context of CE. Therefore, this study investigates past career experiences by leveraging optimal matching analysis, we examine a dataset comprising 50 sequences extracted from LinkedIn profiles, representing various career transitions over a 10-year period. Our findings reveal a dominant trajectory within the corporate sector, with limited transitions to other categories such as startups or consulting roles. With this, our research contributes to a deeper understanding of the career experiences of corporate entrepreneurs and underscores the need for future studies to explore the holistic factors shaping their professional trajectories.
Author: | Jona Asbach, Christina Lang, Guido H. BaltesORCiDGND |
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DOI: | https://doi.org/10.1109/ICE/ITMC61926.2024.10794324 |
ISBN: | 979-8-3503-6243-5 |
ISSN: | 2693-8855 |
Parent Title (English): | 30th IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), 24-28 June 2024, Funchal, Portugal |
Publisher: | IEEE |
Place of publication: | New York |
Document Type: | Conference Proceeding |
Language: | English |
Year of Publication: | 2024 |
Release Date: | 2025/01/02 |
Tag: | Corporate Entrepreneurship; Career Trajectory; Optimal Matching Analysis |
Page Number: | 8 |
Institutes: | Institut für Strategische Innovation und Technologiemanagement - IST |
DDC functional group: | 650 Management |
Open Access?: | Nein |
Relevance: | Konferenzbeitrag: h5-Index < 30 |
Licence (German): | Urheberrechtlich geschützt |