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Big data analytics capability and market performance: The roles of disruptive business models and competitive intensity

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  • Olabode, Oluwaseun E.
  • Boso, Nathaniel
  • Hultman, Magnus
  • Leonidou, Constantinos N.

Abstract

Research shows that big data analytics capability (BDAC) is a major determinant of firm performance. However, scant research has theoretically articulated and empirically tested the mechanisms and conditions under which BDAC influences performance. This study advances existing knowledge on the BDAC–performance relationship by drawing on the knowledge-based view and contingency theory to argue that how and when BDAC influences market performance is dependent on the intervening role of disruptive business models and the contingency role of competitive intensity. We empirically test this argument on primary data from 360 firms in the United Kingdom. The results show that disruptive business models partially mediate the positive effect of BDAC on market performance, and this indirect positive effect is strengthened when competitive intensity increases. These findings provide new perspectives on the business model processes and competitive conditions under which firms maximize marketplace value from investments in BDACs.

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  • Olabode, Oluwaseun E. & Boso, Nathaniel & Hultman, Magnus & Leonidou, Constantinos N., 2022. "Big data analytics capability and market performance: The roles of disruptive business models and competitive intensity," Journal of Business Research, Elsevier, vol. 139(C), pages 1218-1230.
    • Handle: RePEc:eee:jbrese:v:139:y:2022:i:c:p:1218-1230
    DOI: 10.1016/j.jbusres.2021.10.042
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    3. André de Abreu Saraiva Monteiro Alves & Fernando Manuel Pereira de Oliveira Carvalho, 2022. "How Dynamic Managerial Capabilities, Entrepreneurial Orientation, and Operational Capabilities Impact Microenterprises’ Global Performance," Sustainability, MDPI, vol. 15(1), pages 1-23, December.
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    5. Jianmin Song & Senmao Xia & Demetris Vrontis & Arun Sukumar & Bing Liao & Qi Li & Kun Tian & Nengzhi Yao, 2022. "The Source of SMEs’ Competitive Performance in COVID-19: Matching Big Data Analytics Capability to Business Models," Information Systems Frontiers, Springer, vol. 24(4), pages 1167-1187, August.
    6. Omar. A. Alghamdi & Gomaa Agag, 2023. "Boosting Innovation Performance through Big Data Analytics Powered by Artificial Intelligence Use: An Empirical Exploration of the Role of Strategic Agility and Market Turbulence," Sustainability, MDPI, vol. 15(19), pages 1-19, September.
    7. Hua Zhang & Shaofeng Yuan, 2023. "How and When Does Big Data Analytics Capability Boost Innovation Performance?," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    8. Saumyaranjan Sahoo & Anil Kumar & Arvind Upadhyay, 2023. "How do green knowledge management and green technology innovation impact corporate environmental performance? Understanding the role of green knowledge acquisition," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 551-569, January.
    9. Timilehin Olasoji OLUBIYI, 2022. "MEASURING TECHNOLOGICAL CAPABILITY AND BUSINESS PERFORMANCE POST-COVID ERA: EVIDENCE FROM SMALL AND MEDIUM-SIZED ENTERPRISES(SMEs) IN NIGERIA," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, vol. 0(2), pages 234-248, November.

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