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 language | English |
|---|---|
| Pages (from-to) | 229-251 |
| Journal | British Journal of Management |
| Volume | 30 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2019 |
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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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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 journal › Article › Scientific › peer-review
TY - JOUR
T1 - The history, evolution, and future of big data & analytics
T2 - A bibliometric analysis of its relationship to performance in organizations
AU - Batistič, Sasa
AU - van der Laken, Paul
PY - 2019
Y1 - 2019
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.
KW - ABSORPTIVE-CAPACITY
KW - CHURN PREDICTION
KW - CORPORATE SOCIAL-RESPONSIBILITY
KW - FINANCIAL PERFORMANCE
KW - FIRM PERFORMANCE
KW - INFORMATION-TECHNOLOGY CAPABILITY
KW - OPERATIONAL PERFORMANCE
KW - RESOURCE-BASED PERSPECTIVE
KW - STAKEHOLDER MANAGEMENT
KW - SUPPLY CHAIN MANAGEMENT
U2 - 10.1111/1467-8551.12340
DO - 10.1111/1467-8551.12340
M3 - Article
VL - 30
SP - 229
EP - 251
JO - British Journal of Management
JF - British Journal of Management
SN - 1045-3172
IS - 2
ER -