The role of big data analytics capabilities in greening e-procurement: A higher order PLS-SEM analysis

dc.contributor.authorAlNuaimi, Bader Khamis
dc.contributor.authorKhan, Mehmood
dc.contributor.authorAjmal, Mian M.
dc.date.accessioned2024-06-25T05:47:07Z
dc.date.available2024-06-25T05:47:07Z
dc.date.issued2021-08
dc.description.abstractThe 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. © 2021 Keywords Big data, Green procurement, Resource orchestration, Sustainable development, United Arab Emirates
dc.identifier.citationAlNuaimi, B. K., Khan, M., & Ajmal, M. M. (2021). The role of big data analytics capabilities in greening e-procurement: A higher order PLS-SEM analysis. Technological Forecasting and Social Change, 169, 120808.
dc.identifier.doihttps://doi.org/10.1016/j.techfore.2021.120808
dc.identifier.urihttps://dspace.adu.ac.ae/handle/1/5864
dc.language.isoen_US
dc.publisherElsevier Inc.
dc.titleThe role of big data analytics capabilities in greening e-procurement: A higher order PLS-SEM analysis
dc.typeArticle

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