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Profiting from big data analytics: The moderating roles of industry concentration and firm size

Author

Listed:
  • Elisabetta Raguseo

    (Polito - Politecnico di Torino = Polytechnic of Turin)

  • Claudio Vitari

    (AMU - Aix Marseille Université, CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon, AMU ECO - Aix-Marseille Université - Faculté d'économie et de gestion - AMU - Aix Marseille Université)

  • Federico Pigni

    (EESC-GEM Grenoble Ecole de Management)

Abstract

Big data has gained momentum as an Information Technology that is capable of supporting organizational efforts to generate new and better business value. We here contribute to the emerging literature on big data analytic (BDA) solutions by investigating the moderating roles of firm size and industry concentration in the relationship between BDA solutions and firm profitability. Using a unique panel data set that covers 13 years, from 2004 to 2016, which contains information about 176 firms, we provide robust econometric empirical evidence of the negative moderating effects of industry concentration and the positive moderating effects of firm size on the relationship between the use of BDA solutions and firm profitability. Our findings provide strong empirical evidence on the business value of BDA as well as the essential role played by contextual conditions that managers should consider.

Suggested Citation

  • Elisabetta Raguseo & Claudio Vitari & Federico Pigni, 2020. "Profiting from big data analytics: The moderating roles of industry concentration and firm size," Grenoble Ecole de Management (Post-Print) hal-03032504, HAL.
    • Handle: RePEc:hal:gemptp:hal-03032504
    DOI: 10.1016/j.ijpe.2020.107758
    Note: View the original document on HAL open archive server: https://hal.science/hal-03032504
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    Keywords

    IT business value; big data analytics; firm profitability; econometric analysis; industry concentration; firm size;
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