Title: Big data analytics capability for digital transformation in the insurance sector

Authors: Christopher A. Moturi; Vincent O. Okemwa; Daniel O. Orwa

Addresses: School of Computing and Informatics, University of Nairobi, Nairobi, Kenya ' School of Computing and Informatics, University of Nairobi, Nairobi, Kenya ' School of Computing and Informatics, University of Nairobi, Nairobi, Kenya

Abstract: In order for organisations to generate competitive advantages from big data investments, they need to acquire a unique blend of technology, human skills, financial resources and a data-driven culture. Organisations need to measure their big data analytics capability in order to yield competitive performance. This study sought to examine the relationship between a firm's big data analytics capability (BDAC) and competitive performance through mediating role of dynamic and operational capabilities. To test the proposed research model, we used survey data from 110 employees across 54 insurance companies in Kenya. Using partial least squares structural equation modelling, the results provide evidence that BDAC leads to superior firm performance. Various resources that form big data analytics (BDA) capability have been identified and an instrument to measure BDAC is proposed. The findings from this study provide a roadmap strategy for implementing BDA projects.

Keywords: big data; big data analytics; BDA; big data analytics capability; BDAC; dynamic capabilities; operational capabilities; competitive performance.

DOI: 10.1504/IJBDM.2022.119435

International Journal of Big Data Management, 2022 Vol.2 No.1, pp.42 - 59

Received: 02 Aug 2020
Accepted: 05 Oct 2020
Published online: 05 Dec 2021 *

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