Article (Scientific journals)
Artificial intelligence and entrepreneurship research
Obschonka, Martin; Fisch, Christian
2022In Oxford Research Encyclopedia of Business and Management
Peer reviewed
 

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Keywords :
artificial intelligence; AI; entrepreneurship; startup; big data; machine learning
Abstract :
[en] Advances in Artificial Intelligence (AI) are intensively shaping businesses and the economy as a whole, and AIrelated research is exploding in many domains of business and management research. In contrast, AI has received relatively little attention within the domain of entrepreneurship research, while many entrepreneurship scholars agree that AI will likely shape entrepreneurship research in deep, disruptive ways. When summarizing both the existing entrepreneurship literature on AI and potential avenues for future research, the growing relevance of AI for entrepreneurship research manifests itself along two dimensions. First, AI applications in the real world establish a distinct research topic (e.g., whether and how entrepreneurs and entrepreneurial ventures use and develop AI-based technologies, or how AI can function as an external enabler that generates and enhances entrepreneurial outcomes). In other words, AI is changing the research object in entrepreneurship research. The second dimension refers to drawing on AI-based research methods, such as big data techniques or AI-based forecasting methods. Such AI-based methods open several avenues for researchers to gain new, influential insights into entrepreneurs and entrepreneurial ventures that are more difficult to assess using traditional methods. In other words, AI is changing the research methods. Given that, so far, human intelligence could not fully uncover and comprehend the secrets behind the entrepreneurial process that is so deeply embedded in uncertainty and opportunity, AI-supported research methods might achieve new breakthrough discoveries. We conclude that the field needs to embrace AI as a topic and research method more enthusiastically while maintaining the essential research standards and scientific rigor that guarantee the field’s well-being, reputation, and impact.
Research center :
- Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Other
Disciplines :
Strategy & innovation
Author, co-author :
Obschonka, Martin
Fisch, Christian  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Entrepreneurship, Innovation, and New Technology (EINT)
External co-authors :
yes
Language :
English
Title :
Artificial intelligence and entrepreneurship research
Publication date :
2022
Journal title :
Oxford Research Encyclopedia of Business and Management
Peer reviewed :
Peer reviewed
Focus Area :
Entrepreneurship and Innovation / Audit
Available on ORBilu :
since 18 August 2022

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