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Big data analytics and internationalisation in Italian firms

In: Developments in Entrepreneurial Finance and Technology

Author

Listed:
  • Martina Aronica
  • Davide Piacentino
  • Pasquale Massimo Picone

Abstract

This chapter looks at the role of big data in developing firms’ international e-commerce. Specifically, it investigates the role of three types of big data approaches - a) use of big data managed by internal firm staff; b) use of big data managed by specialized consultant firms; and c) use of big data jointly managed by internal firm staff and specialized consultant firms - on the probability that firms enter international markets by web-sales. To this end, the chapter offers a quantitative investigation based on a large sample of Italian firms. The empirical results confirm the hypothesis that the probability of entering international market by e-commerce is positively associated with the use of big data both managed by internal staff and managed by specialized consulting firms. However, these results differ according to firm size. Indeed, small firms benefit more from big data managed by specialized consulting firms, while large firms by internal staff. Nonetheless, both types of firms have the maximum of benefits when combining external and internal resources.

Suggested Citation

  • Martina Aronica & Davide Piacentino & Pasquale Massimo Picone, 2022. "Big data analytics and internationalisation in Italian firms," Chapters, in: David B. Audretsch & Maksim Belitski & Nada Rejeb & Rosa Caiazza (ed.), Developments in Entrepreneurial Finance and Technology, chapter 4, pages 67-81, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:20623_4
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