The history, evolution, and future of big data & analytics

A bibliometric analysis of its relationship to performance in organizations

Sasa Batistič*, Paul van der Laken

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Big data and analytics (BDA) are gaining momentum, particularly in the practitioner world. Research linking BDA to improved organizational performance seems scarce and widely dispersed though, with the majority focused on specific domains and/or macro-level relationships. In order to synthesize past research and advance knowledge of the potential organizational value of BDA, the authors obtained a data set of 327 primary studies and 1252 secondary cited papers. This paper reviews this body of research, using three bibliometric methods. First, it elucidates its intellectual foundations via co-citation analysis. Second, it visualizes the historical evolution of BDA and performance research and its substreams through algorithmic historiography. Third, it provides insights into the field's potential evolution via bibliographic coupling. The results reveal that the academic attention for the BDA-performance link has been increasing rapidly. The study uncovered ten research clusters that form the field's foundation. While research seems to have evolved following two main, isolated streams, the past decade has witnessed more cross-disciplinary collaborations. Moreover, the study identified several research topics undergoing focused development, including financial and customer risk management, text mining and evolutionary algorithms. The review concludes with a discussion of the implications for different functional management domains and the gaps for both research and practice.

Original languageEnglish
Pages (from-to)229-251
JournalBritish Journal of Management
Volume30
Issue number2
DOIs
Publication statusPublished - 2019

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Big data
Bibliometric analysis
Risk management
Evolutionary algorithms
Macros
Momentum
Historiography
Functional management
Organizational performance
Co-citation analysis
Research performance
Organizational values
Bibliometrics
Text mining
Financial development

Keywords

  • ABSORPTIVE-CAPACITY
  • CHURN PREDICTION
  • CORPORATE SOCIAL-RESPONSIBILITY
  • FINANCIAL PERFORMANCE
  • FIRM PERFORMANCE
  • INFORMATION-TECHNOLOGY CAPABILITY
  • OPERATIONAL PERFORMANCE
  • RESOURCE-BASED PERSPECTIVE
  • STAKEHOLDER MANAGEMENT
  • SUPPLY CHAIN MANAGEMENT

Cite this

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title = "The history, evolution, and future of big data & analytics: A bibliometric analysis of its relationship to performance in organizations",
abstract = "Big data and analytics (BDA) are gaining momentum, particularly in the practitioner world. Research linking BDA to improved organizational performance seems scarce and widely dispersed though, with the majority focused on specific domains and/or macro-level relationships. In order to synthesize past research and advance knowledge of the potential organizational value of BDA, the authors obtained a data set of 327 primary studies and 1252 secondary cited papers. This paper reviews this body of research, using three bibliometric methods. First, it elucidates its intellectual foundations via co-citation analysis. Second, it visualizes the historical evolution of BDA and performance research and its substreams through algorithmic historiography. Third, it provides insights into the field's potential evolution via bibliographic coupling. The results reveal that the academic attention for the BDA-performance link has been increasing rapidly. The study uncovered ten research clusters that form the field's foundation. While research seems to have evolved following two main, isolated streams, the past decade has witnessed more cross-disciplinary collaborations. Moreover, the study identified several research topics undergoing focused development, including financial and customer risk management, text mining and evolutionary algorithms. The review concludes with a discussion of the implications for different functional management domains and the gaps for both research and practice.",
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author = "Sasa Batistič and {van der Laken}, Paul",
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pages = "229--251",
journal = "British Journal of Management",
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The history, evolution, and future of big data & analytics : A bibliometric analysis of its relationship to performance in organizations. / Batistič, Sasa; van der Laken, Paul.

In: British Journal of Management, Vol. 30, No. 2, 2019, p. 229-251.

Research output: Contribution to journalArticleScientificpeer-review

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AU - van der Laken, Paul

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N2 - Big data and analytics (BDA) are gaining momentum, particularly in the practitioner world. Research linking BDA to improved organizational performance seems scarce and widely dispersed though, with the majority focused on specific domains and/or macro-level relationships. In order to synthesize past research and advance knowledge of the potential organizational value of BDA, the authors obtained a data set of 327 primary studies and 1252 secondary cited papers. This paper reviews this body of research, using three bibliometric methods. First, it elucidates its intellectual foundations via co-citation analysis. Second, it visualizes the historical evolution of BDA and performance research and its substreams through algorithmic historiography. Third, it provides insights into the field's potential evolution via bibliographic coupling. The results reveal that the academic attention for the BDA-performance link has been increasing rapidly. The study uncovered ten research clusters that form the field's foundation. While research seems to have evolved following two main, isolated streams, the past decade has witnessed more cross-disciplinary collaborations. Moreover, the study identified several research topics undergoing focused development, including financial and customer risk management, text mining and evolutionary algorithms. The review concludes with a discussion of the implications for different functional management domains and the gaps for both research and practice.

AB - Big data and analytics (BDA) are gaining momentum, particularly in the practitioner world. Research linking BDA to improved organizational performance seems scarce and widely dispersed though, with the majority focused on specific domains and/or macro-level relationships. In order to synthesize past research and advance knowledge of the potential organizational value of BDA, the authors obtained a data set of 327 primary studies and 1252 secondary cited papers. This paper reviews this body of research, using three bibliometric methods. First, it elucidates its intellectual foundations via co-citation analysis. Second, it visualizes the historical evolution of BDA and performance research and its substreams through algorithmic historiography. Third, it provides insights into the field's potential evolution via bibliographic coupling. The results reveal that the academic attention for the BDA-performance link has been increasing rapidly. The study uncovered ten research clusters that form the field's foundation. While research seems to have evolved following two main, isolated streams, the past decade has witnessed more cross-disciplinary collaborations. Moreover, the study identified several research topics undergoing focused development, including financial and customer risk management, text mining and evolutionary algorithms. The review concludes with a discussion of the implications for different functional management domains and the gaps for both research and practice.

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KW - RESOURCE-BASED PERSPECTIVE

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