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Artificial Intelligence Factory, Data Risk, and VCs’ Mediation: The Case of ByteDance, an AI-Powered Startup

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Listed:
  • Peiyi Jia

    (Robert J. Manning School of Business, University of Massachusetts Lowell, One University Avenue, Pulichino-Tong Business Center Suite 228, Lowell, MA 01854, USA)

  • Ciprian Stan

    (Rinker School of Business, Palm Beach Atlantic University, 901 S Flagler Drive, West Palm Beach, FL 33401, USA)

Abstract

The AI factory is an effective way of managing artificial intelligence (AI) processes, enabling broad AI deployment in a firm. The purpose of this study is to explore the role of the AI factory in an entrepreneurship context. How do AI-powered startups leverage AI to grow, and manage data risks? What is the role of venture capitalists in this process? We answer these research questions by conducting an in-depth study of an AI-powered startup: ByteDance. Our study extends both AI and entrepreneurship literature by showing that AI-powered startups adopt the AI factory approach to optimize scale, scope, and learning. Our discussion also emphasizes the critical role played by venture capitalists in assisting AI-powered startups in building AI factories and in reducing data risk.

Suggested Citation

  • Peiyi Jia & Ciprian Stan, 2021. "Artificial Intelligence Factory, Data Risk, and VCs’ Mediation: The Case of ByteDance, an AI-Powered Startup," JRFM, MDPI, vol. 14(5), pages 1-19, May.
    • Handle: RePEc:gam:jjrfmx:v:14:y:2021:i:5:p:203-:d:548177
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    References listed on IDEAS

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    1. Thomas Bolander, 2019. "What do we loose when machines take the decisions?," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 23(4), pages 849-867, December.
    2. Martin Obschonka & David B. Audretsch, 0. "Artificial intelligence and big data in entrepreneurship: a new era has begun," Small Business Economics, Springer, vol. 0, pages 1-11.
    3. Roberto S. Santos & Lingling Qin, 2019. "Risk Capital and Emerging Technologies: Innovation and Investment Patterns Based on Artificial Intelligence Patent Data Analysis," JRFM, MDPI, vol. 12(4), pages 1-24, December.
    4. Rosenbusch, Nina & Brinckmann, Jan & Müller, Verena, 2013. "Does acquiring venture capital pay off for the funded firms? A meta-analysis on the relationship between venture capital investment and funded firm financial performance," Journal of Business Venturing, Elsevier, vol. 28(3), pages 335-353.
    5. Gorman, Michael & Sahlman, William A., 1989. "What do venture capitalists do?," Journal of Business Venturing, Elsevier, vol. 4(4), pages 231-248, July.
    6. Jeffrey J. Reuer & Ramakrishna Devarakonda, 2017. "Partner Selection in R&D Collaborations: Effects of Affiliations with Venture Capitalists," Organization Science, INFORMS, vol. 28(3), pages 574-595, June.
    7. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    8. Daniel R Clark & Dan Li & Dean A Shepherd, 2018. "Country familiarity in the initial stage of foreign market selection," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 49(4), pages 442-472, May.
    9. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "Economic Policy for Artificial Intelligence," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 139-159.
    10. Satish Nambisan, 2017. "Digital Entrepreneurship: Toward a Digital Technology Perspective of Entrepreneurship," Entrepreneurship Theory and Practice, , vol. 41(6), pages 1029-1055, November.
    11. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57, National Bureau of Economic Research, Inc.
    12. Dan K. Hsu & J. Michael Haynie & Sharon A. Simmons & Alexander McKelvie, 2014. "What matters, matters differently: a conjoint analysis of the decision policies of angel and venture capital investors," Venture Capital, Taylor & Francis Journals, vol. 16(1), pages 1-25, January.
    13. Jia, Lianrui & Ruan, Lotus, 2020. "Going global: Comparing Chinese mobile applications' data and user privacy governance at home and abroad," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 9(3), pages 1-22.
    14. David Benson & Rosemarie H. Ziedonis, 2009. "Corporate Venture Capital as a Window on New Technologies: Implications for the Performance of Corporate Investors When Acquiring Startups," Organization Science, INFORMS, vol. 20(2), pages 329-351, April.
    15. Martin Obschonka & David B. Audretsch, 2020. "Artificial intelligence and big data in entrepreneurship: a new era has begun," Small Business Economics, Springer, vol. 55(3), pages 529-539, October.
    16. Haemin Dennis Park & H. Kevin Steensma, 2012. "When does corporate venture capital add value for new ventures?," Strategic Management Journal, Wiley Blackwell, vol. 33(1), pages 1-22, January.
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