大数据
商业智能
商业分析
分析
独创性
知识管理
结构方程建模
业务
数据科学
商业价值
营销
计算机科学
商业模式
数据挖掘
业务分析
经济
机器学习
经济增长
法学
政治学
人力资本
创造力
作者
Alaa A. Qaffas,Aboobucker Ilmudeen,Najah K. Almazmomi,Ibraheem M. Alharbi
出处
期刊:Foresight
[Emerald Publishing Limited]
日期:2022-04-29
卷期号:25 (3): 448-464
被引量:17
标识
DOI:10.1108/fs-01-2021-0002
摘要
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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