Big Data and Dynamic Capabilities: A Bibliometric Analysis and Systematic Literature Review

Rialti, Riccardo and Marzi, Giacomo and Ciappei, Cristiano and Busso, Donatella (2019) Big Data and Dynamic Capabilities: A Bibliometric Analysis and Systematic Literature Review. Management Decision . ISSN 0025-1747

Full content URL: https://doi.org/10.1108/MD-07-2018-0821

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Big Data and Dynamic Capabilities: A Bibliometric Analysis and Systematic Literature Review

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Item Type:Article
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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, this paper aims 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 (BDA). 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:big data, bibliometric
Subjects:N Business and Administrative studies > N290 Management studies not elsewhere classified
N Business and Administrative studies > N200 Management studies
N Business and Administrative studies > N190 Business studies not elsewhere classified
Divisions:Lincoln International Business School
ID Code:34610
Deposited On:14 Feb 2019 16:23

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