The impact of big data analytics talent capability on business intelligence infrastructure to achieve firm performance

Purpose The emerging attention in big data has led businesses to improve big data analytics talent capability to enrich firm performance. The big data capability pays off for some companies but not for all, and it appears that very few have achieved a big impact through big data. Rooted in the lates...

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Bibliographic Details
Published in:Foresight (Cambridge) Vol. 25; no. 3; pp. 448 - 464
Main Authors: Qaffas, Alaa A., Ilmudeen, Aboobucker, Almazmomi, Najah Kalifah, Alharbi, Ibraheem Mubarak
Format: Journal Article
Language:English
Published: Bradford Emerald Publishing Limited 01-05-2023
Emerald Group Publishing Limited
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Summary:Purpose The emerging attention in big data has led businesses to improve big data analytics talent capability to enrich firm performance. The big data capability pays off for some companies but not for all, and it appears that very few have achieved a big impact through big data. Rooted in the latest literature on the knowledge-based view, IT capability, big data talent capability and business intelligence, this study aims to examine how big data talent capability impact on business intelligence infrastructure to achieve firm performance. Design/methodology/approach The primary survey data of 272 IT managers and big data analysts from Chinese firms was analyzed by using the structural equation modeling and partial least squares (Smart PLS 3.0). The analysis uncovers a positive and significant relationship in the proposed model. Findings The finding shows that the big data analytics talent capability positively impacts on business intelligence infrastructure that in turn directs to achieve firm financial and marketing performance. Originality/value This study theorized on the multitheoretic lenses, and findings suggest the managers and industry practitioners to develop business intelligence infrastructure capabilities from big data analytics talent capability.
ISSN:1463-6689
1465-9832
1463-6689
DOI:10.1108/FS-01-2021-0002