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.

Big data and dynamic capabilities: a bibliometric analysis and systematic literature review / R. Rialti, G. Marzi, C. Ciappei, D. Busso. - In: MANAGEMENT DECISION. - ISSN 0025-1747. - 57:8(2019 Sep 20), pp. 17.2052-17.2068. [10.1108/MD-07-2018-0821]

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

R. Rialti
Primo
Supervision
;
2019

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.
Bibliometric analysis; Big data; Big data analytics; Dynamic capabilities; Performance; Systematic literature review;
Settore SECS-P/08 - Economia e Gestione delle Imprese
ago-2019
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/909719
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