Title: How big data innovates an organisation's business model: a systematic literature review

Authors: Emilia Romeo; Nicola Capolupo

Addresses: Department of Business Science – Management and Innovation Systems, University of Salerno, Italy ' Department of Business Science – Management and Innovation Systems, University of Salerno, Italy

Abstract: Research in business model innovation (BMI) has dramatically spread over the last decade. The increasing availability of data and the related possibility to exploit them with analytic has sparked a brand-new discussion: how big data (BD) could generate innovative processes that lead firms to reinvent themselves? This paper aims to identify the main constructs questioned by the literature on the BD and BMI connection. It provides the analysis of academic literature indexed in Scopus, adopting a systematic literature review approach conducted with the PRISMA methodology, and carried out with a third type content analysis. Following trends for BD and BMI has been finding and discussed.

Keywords: big data; business model innovation; BMI; business model; organisation; systematic literature review; SLR; data-driven innovation.

DOI: 10.1504/IJQI.2022.119291

International Journal of Quality and Innovation, 2022 Vol.6 No.1, pp.43 - 63

Received: 31 Jan 2021
Accepted: 22 Mar 2021
Published online: 30 Nov 2021 *

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