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A New Methodological Frontier in Entrepreneurship Research: Big Data Studies

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  • Andreas Schwab
  • Zhu Zhang

Abstract

The emergence of “big data†and related analytic techniques are creating opportunities to advance empirical entrepreneurship theory and practice. This editorial focuses on the implications for the design and execution of empirical studies. It offers guidance on how to navigate related methodological challenges and outlines what editors, professional associations, research-method teachers, and administrators can do to enable high-quality big data research.

Suggested Citation

  • Andreas Schwab & Zhu Zhang, 2019. "A New Methodological Frontier in Entrepreneurship Research: Big Data Studies," Entrepreneurship Theory and Practice, , vol. 43(5), pages 843-854, September.
    • Handle: RePEc:sae:entthe:v:43:y:2019:i:5:p:843-854
    DOI: 10.1177/1042258718760841
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    Cited by:

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    2. Hamid Etemad, 2024. "Transformative potentials of generative artificial intelligence: Should international entrepreneurial enterprises adopt GEN.AI?," Journal of International Entrepreneurship, Springer, vol. 22(2), pages 141-163, June.
    3. Francesco Perugini, 2023. "Space–time analysis of entrepreneurial ecosystems," The Journal of Technology Transfer, Springer, vol. 48(1), pages 240-291, February.
    4. Bernd Wurth & Erik Stam & Ben Spigel, 2022. "Toward an Entrepreneurial Ecosystem Research Program," Entrepreneurship Theory and Practice, , vol. 46(3), pages 729-778, May.
    5. Markku Maula & Wouter Stam, 2020. "Enhancing Rigor in Quantitative Entrepreneurship Research," Entrepreneurship Theory and Practice, , vol. 44(6), pages 1059-1090, November.
    6. Ari Hyytinen & Petri Rouvinen & Mika Pajarinen & Joosua Virtanen, 2023. "Ex Ante Predictability of Rapid Growth: A Design Science Approach," Entrepreneurship Theory and Practice, , vol. 47(6), pages 2465-2493, November.
    7. Guéneau, Grégory & Chabaud, Didier & Sauvannet, Marie-Christine Chalus, 2023. "Sticky ties: Quest for structural inter-organizational configurations in entrepreneurial ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    8. Schade, Philipp & Schuhmacher, Monika C., 2023. "Predicting entrepreneurial activity using machine learning," Journal of Business Venturing Insights, Elsevier, vol. 19(C).
    9. Diego Corrales-Garay & Eva-María Mora-Valentín & Marta Ortiz-de-Urbina-Criado, 2020. "Entrepreneurship Through Open Data: An Opportunity for Sustainable Development," Sustainability, MDPI, vol. 12(12), pages 1-25, June.
    10. Williamson, Amanda J. & Short, Jeremy C. & Wolfe, Marcus T., 2021. "Standing out in crowdfunded microfinance: A topic modeling approach examining campaign distinctiveness and prosocial performance," Journal of Business Venturing Insights, Elsevier, vol. 16(C).
    11. Jabeur, Sami Ben & Ballouk, Houssein & Mefteh-Wali, Salma & Omri, Anis, 2022. "Forecasting the macrolevel determinants of entrepreneurial opportunities using artificial intelligence models," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    12. Chaudhary, Sanjay & Kaur, Puneet & Ferraris, Alberto & Bresciani, Stefano & Dhir, Amandeep, 2024. "Connecting entrepreneurial ecosystem and innovation. Grasping at straws or hitting a home run?," Technovation, Elsevier, vol. 130(C).
    13. Fossen, Frank M. & McLemore, Trevor & Sorgner, Alina, 2024. "Artificial Intelligence and Entrepreneurship," IZA Discussion Papers 17055, Institute of Labor Economics (IZA).
    14. Graham, Byron & Bonner, Karen, 2022. "One size fits all? Using machine learning to study heterogeneity and dominance in the determinants of early-stage entrepreneurship," Journal of Business Research, Elsevier, vol. 152(C), pages 42-59.
    15. Martin Obschonka & Moren Levesque, 2024. "A Market for Lemons? Strategic Directions for a Vigilant Application of Artificial Intelligence in Entrepreneurship Research," Papers 2409.08890, arXiv.org.
    16. 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).
    17. Lucas, Benjamin & Francu, R. Elena & Goulding, James & Harvey, John & Nica-Avram, Georgiana & Perrat, Bertrand, 2021. "A Note on Data-driven Actor-differentiation and SDGs 2 and 12: Insights from a Food-sharing App," Research Policy, Elsevier, vol. 50(6).

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