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Artificial Intelligence and Big Data in Entrepreneurship: A New Era Has Begun

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  • Martin Obschonka
  • David B. Audretsch

Abstract

While the disruptive potential of artificial intelligence (AI) and Big Data has been receiving growing attention and concern in a variety of research and application fields over the last few years, it has not received much scrutiny in contemporary entrepreneurship research so far. Here we present some reflections and a collection of papers on the role of AI and Big Data for this emerging area in the study and application of entrepreneurship research. While being mindful of the potentially overwhelming nature of the rapid progress in machine intelligence and other Big Data technologies for contemporary structures in entrepreneurship research, we put an emphasis on the reciprocity of the co-evolving fields of entrepreneurship research and practice. How can AI and Big Data contribute to a productive transformation of the research field and the real-world phenomena (e.g., 'smart entrepreneurship')? We also discuss, however, ethical issues as well as challenges around a potential contradiction between entrepreneurial uncertainty and rule-driven AI rationality. The editorial gives researchers and practitioners orientation and showcases avenues and examples for concrete research in this field. At the same time, however, it is not unlikely that we will encounter unforeseeable and currently inexplicable developments in the field soon. We call on entrepreneurship scholars, educators, and practitioners to proactively prepare for future scenarios.

Suggested Citation

  • Martin Obschonka & David B. Audretsch, 2019. "Artificial Intelligence and Big Data in Entrepreneurship: A New Era Has Begun," Papers 1906.00553, arXiv.org.
    • Handle: RePEc:arx:papers:1906.00553
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    Cited by:

    1. Santos, Susana C. & Caetano, António & Costa, Sílvia F. & Rueff Lopes, Rita & Silva, Ana Junça & Neumeyer, Xaver, 2020. "Uncovering the affective turmoil during opportunity recognition and exploitation: A nonlinear approach," Journal of Business Venturing Insights, Elsevier, vol. 14(C).
    2. Martina Aronica & Rubinia Celeste Bonfanti & Davide Piacentino, 2021. "Social media adoption in Italian firms. Opportunities and challenges for lagging regions," Papers in Regional Science, Wiley Blackwell, vol. 100(4), pages 959-978, August.
    3. Reem Mahmoud Ahmad Mashat, 2021. "The Effect of the Use and Knowledge of AI on the Advanced Entrepreneurship in Saudis Small Business and Startups," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(12), pages 1-35, July.
    4. Kopka, Alexander & Grashof, Nils, 2022. "Artificial intelligence: Catalyst or barrier on the path to sustainability?," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    5. Dominic Chalmers & Niall G. MacKenzie & Sara Carter, 2021. "Artificial Intelligence and Entrepreneurship: Implications for Venture Creation in the Fourth Industrial Revolution," Entrepreneurship Theory and Practice, , vol. 45(5), pages 1028-1053, September.
    6. Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).
    7. Christian Rammer & Gastón P Fernández & Dirk Czarnitzki, 2021. "Artificial Intelligence and Industrial Innovation: Evidence from Firm-Level Data," Working Papers of Department of Management, Strategy and Innovation, Leuven 674605, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
    8. Alexander Kopka & Dirk Fornahl, 2024. "Artificial intelligence and firm growth — catch-up processes of SMEs through integrating AI into their knowledge bases," Small Business Economics, Springer, vol. 62(1), pages 63-85, January.
    9. Chan, C.S. Richard & Pethe, Charuta & Skiena, Steven, 2021. "Natural language processing versus rule-based text analysis: Comparing BERT score and readability indices to predict crowdfunding outcomes," Journal of Business Venturing Insights, Elsevier, vol. 16(C).
    10. Vasile MAZILESCU, 2020. "A Helpful Analysis of the Technological Mix based on HPC and Artificial Intelligence for Maintaining Competitiveness in the Business Environment," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 14-21.
    11. Mohammad Rashed Hasan Polas & Valliappan Raju, 2021. "Technology and Entrepreneurial Marketing Decisions During COVID-19," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(2), pages 95-112, June.
    12. Padmanathan Kasinathan & Rishi Pugazhendhi & Rajvikram Madurai Elavarasan & Vigna Kumaran Ramachandaramurthy & Vinoth Ramanathan & Senthilkumar Subramanian & Sachin Kumar & Kamalakannan Nandhagopal & , 2022. "Realization of Sustainable Development Goals with Disruptive Technologies by Integrating Industry 5.0, Society 5.0, Smart Cities and Villages," Sustainability, MDPI, vol. 14(22), pages 1-31, November.
    13. David B. Audretsch & Maksim Belitski & Rosa Caiazza & Erik E. Lehmann, 2020. "Knowledge management and entrepreneurship," International Entrepreneurship and Management Journal, Springer, vol. 16(2), pages 373-385, June.
    14. Brown, Ross & Rocha, Augusto, 2020. "Entrepreneurial uncertainty during the Covid-19 crisis: Mapping the temporal dynamics of entrepreneurial finance," Journal of Business Venturing Insights, Elsevier, vol. 14(C).
    15. Arne Steinkraus, 2019. "Estimating Treatment Effects With Artificial Neural Nets – A Comparison to Synthetic Control Method," Economics Bulletin, AccessEcon, vol. 39(4), pages 2778-2791.
    16. Chen, Jean Jinghan & Cui, Chuantao & Hunt, Richard A. & Li, Leona Shao-Zhi, 2020. "External enablement of new venture creation: An exploratory, query-driven assessment of China's high-speed rail expansion," Journal of Business Venturing, Elsevier, vol. 35(6).

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