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Big data and dynamic capabilities: a bibliometric analysis and systematic literature review

Riccardo Rialti (DISEI – Dipartimento di Scienze per l’Economia e l’Impresa, Università degli Studi di Firenze, Firenze, Italy)
Giacomo Marzi (Lincoln International Business School, Department of Strategy and Enterprise, University of Lincoln, Lincoln, UK)
Cristiano Ciappei (DISEI – Dipartimento di Scienze per l’Economia e l’Impresa, Università degli Studi di Firenze, Firenze, Italy)
Donatella Busso (Dipartimento di Management, Universita degli Studi di Torino, Torino, Italy)

Management Decision

ISSN: 0025-1747

Article publication date: 4 February 2019

Issue publication date: 20 September 2019

2877

Abstract

Purpose

Recently, several manuscripts about the effects of big data on organizations used dynamic capabilities as their main theoretical approach. However, these manuscripts still lack systematization. Consequently, the purpose of this paper is to systematize the literature on big data and dynamic capabilities.

Design/methodology/approach

A bibliometric analysis was performed on 170 manuscripts extracted from the Clarivate Analytics Web of Science Core Collection database. The bibliometric analysis was integrated with a literature review.

Findings

The bibliometric analysis revealed four clusters of papers on big data and dynamic capabilities: big data and supply chain management, knowledge management, decision making, business process management and big data analytics. The systematic literature review helped to clarify each clusters’ content.

Originality/value

To the authors’ best knowledge, minimal attention has been paid to systematizing the literature on big data and dynamic capabilities.

Keywords

Citation

Rialti, R., Marzi, G., Ciappei, C. and Busso, D. (2019), "Big data and dynamic capabilities: a bibliometric analysis and systematic literature review", Management Decision, Vol. 57 No. 8, pp. 2052-2068. https://doi.org/10.1108/MD-07-2018-0821

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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