Cheng, Jie and Mahinder Singh, Harcharanjit Singh and Zhang, Yi-Cheng and Wang, Shan-Yong (2023) The impact of business intelligence, big data analytics capability, and green knowledge management on sustainability performance. Journal of Cleaner Production, 429 (139410). NA-NA. ISSN 0959-6526
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Official URL: http://dx.doi.org/10.1016/j.jclepro.2023.139410
Abstract
This paper aims to study the determinants that affect sustainability performance in manufacturing companies and the impact of business intelligence and big data analytics capability on performance considering the moderating role of green knowledge management. An online questionnaire survey was conducted with 488 ISO14001-certified manufacturing companies in Malaysia to test the framework developed in this study. Nonprobability sampling was used in this study. A total of 283 responses were received, whereby the data was then analyzed using structural equation modeling via SmartPLS 4 software. The results indicated that the significant factor determining big data analytics capability is business intelligence, and the positive outcome of big data analytics capability is sustainability performance. Big data analytics capability also plays a mediating role in the positive relationship between business intelligence and sustainability performance, whereby green knowledge management does not moderate the relationship between big data analytics capability and sustainability performance. Even though business intelligence has a substantial impact on sustainability performance, the relationship is not stronger when the level of green knowledge management changes. This research provides awareness to manufacturing companies on the critical factors contributing to big data analytics capability and its outcomes on corporate sustainability performance.
Item Type: | Article |
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Uncontrolled Keywords: | Big data analytics capability; Business intelligence; Green knowledge management; Manufacturing industry; Sustainability performance. |
Subjects: | H Social Sciences > HB Economic Theory |
Divisions: | International Business School |
ID Code: | 106401 |
Deposited By: | Muhamad Idham Sulong |
Deposited On: | 29 Jun 2024 07:19 |
Last Modified: | 29 Jun 2024 07:19 |
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