Big Data Analytics, Firm Size, and Performance

Author:

Conti Raffaele1ORCID,de Matos Miguel Godinho2ORCID,Valentini Giovanni3ORCID

Affiliation:

1. ESSEC Business School, Department of Management, 95000 Cergy, France;

2. Universidade Católica Portuguesa, Católica Lisbon School of Business and Economics, 1600-178 Lisbon, Portugal;

3. Department of Business and Management, Luiss University, 00199 Rome, Italy

Abstract

Big data analytics (BDA) is one of the most important general-purpose technologies. Despite the increasing pervasiveness of BDA across industries and some preliminary evidence indicating that BDA adoption is positively related to firm productivity, previous studies have not fully investigated how BDA benefits actually materialize. To address this question, we explore the effect of BDA on the innovation process, a key determinant of firm productivity. Our findings indicate that both large and small firms can gain from BDA, yet size is a critical organizational attribute determining the most relevant performance gains captured: BDA benefits for value-added are particularly salient for large firms, whereas benefits for sales are more relevant in small firms. This suggests that the relative propensity to use BDA to decrease costs and enhance efficiency through process innovation vs. to increase sales through product innovation is increasing in firm size. Funding: R. Conti received financial support from the CY initiative. M. Godinho de Matos received the support from FCT – Portuguese Foundation of Science and Technology [Grant UID/GES/00407/2020].

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Business and International Management

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