The role of big data analytics capabilities in greening e-procurement: A higher order PLS-SEM analysis
Bader Khamis AlNuaimi,
Mehmood Khan and
Mian M. Ajmal
Technological Forecasting and Social Change, 2021, vol. 169, issue C
Abstract:
The emergence of big data technology and concepts has created the potential to transform and innovate the traditional e-procurement system into green e-procurement. Utilizing resource orchestration theory, this paper suggests that if organizations embrace and reorganize some of the resources and capabilities offered by big data within their e-procurement functions, it will help achieve improved environmental performance. Based on a sample of 216 procurement professionals in the United Arab Emirates, we empirically investigate the effects of big data analytics capabilities (BDAC) on e-procurement (EP) and environmental performance (ENP) using PLS-SEM analysis. This paper has determined that EP does not influence (ENP), but it has a significant influence on BDAC; and when BDAC was introduced as a mediator between EP and ENP, a significant and positive effect was found on ENP, indicating full mediation. Our findings offer a more advanced understanding of the impact of BDAC on e-procurement, thereby addressing the crucial questions of how and when BDAC can enhance environmental sustainability in procurement and supply chains.
Keywords: Big data; Green procurement; resource orchestration; sustainable development; United Arab Emirates (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (17)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:169:y:2021:i:c:s0040162521002407
DOI: 10.1016/j.techfore.2021.120808
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