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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Published in: | Foresight (Cambridge) Vol. 25; no. 3; pp. 448 - 464 |
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Main Authors: | , , , |
Format: | Journal Article |
Language: | English |
Published: |
Bradford
Emerald Publishing Limited
01-05-2023
Emerald Group Publishing Limited |
Subjects: | |
Online Access: | Get full text |
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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. |
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ISSN: | 1463-6689 1465-9832 1463-6689 |
DOI: | 10.1108/FS-01-2021-0002 |