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

  • Bader Khamis AlNuaimi
  • , Mehmood Khan
  • , Mian M. Ajmal

Research output: Contribution to journal › Article › peer-review

141 Scopus citations

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.

Original languageEnglish
Article number120808
JournalTechnological Forecasting and Social Change
Volume169
DOIs
StatePublished - Aug 2021

Keywords

  • Big data
  • Green procurement
  • United Arab Emirates
  • resource orchestration
  • sustainable development

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