Article2021

Understanding Big Data Analytics Capability and Sustainable Supply Chains

Dilek Çetindamar · Baraah Shdifat · Eila Erfani

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Big Data and Business Intelligence Sustainable Supply Chain Management Impact of AI and Big Data on Business and Society

Abstract

This paper presents the knowledge available in the literature regarding big data analytics capability (BDAC) and sustainable supply chain performance (SSCP). A detailed analysis of systematic literature reviews points out the lack of studies bridging these two separate streams of work. The paper puts forward a research agenda for researchers interested in understanding the impact of big data on sustainability.

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References

2009Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement 1997Dynamic capabilities and strategic management 1995A Stakeholder Framework for Analyzing and Evaluating Corporate Social Performance 2012Business Intelligence and Analytics: From Big Data to Big Impact 1998Partnerships from cannibals with forks: The triple bottom line of 21st‐century business 2000A Resource-Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation1 2014Beyond the hype: Big data concepts, methods, and analytics 2008A framework of sustainable supply chain management: moving toward new theory

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2022Big data analytics capabilities and green supply chain performance: investigating the moderated mediation model for green innovation and technological intensity 2023Big data analytics in supply chain decarbonisation: a systematic literature review and future research directions 2022Environment Sustainability Is a Corporate Social Responsibility: Measuring the Nexus between Sustainable Supply Chain Management, Big Data Analytics Capabilities, and Organizational Performance 2022The impact of big data analytics capabilities on green supply chain performance: is green supply chain innovation the missing link?

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