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Sustainable supply chain management performance in post COVID-19 era in an emerging economy: a big data perspective

Qasim Ali Nisar (Faculty of Social Sciences and Leisure Management, School of Media and Communication Studies, Taylor's University, Subang Jaya, Malaysia) (Department of Business and Management Sciences, Superior University, Lahore, Pakistan)
Shahbaz Haider (Department of Accountancy, Superior University, Lahore, Pakistan)
Irfan Ameer (Department of Marketing and International Business, Turku School of Economics, University of Turku, Turku, Finland)
Muhammad Sajjad Hussain (Department of Management Sciences, University of Sialkot, Sialkot, Pakistan)
Sonaina Safi Gill (School of Business Management, Universiti Utara Malaysia, Sintok, Malaysia)
Awan Usama (LUT School of Engineering Science, Lappeenranta-Lahti University of Technology (LUT), Lappeenranta, Finland)

International Journal of Emerging Markets

ISSN: 1746-8809

Article publication date: 7 June 2022




Big data analytics capabilities are the driving force and deemed as an operational excellence approach to improving the green supply chain performance in the post COVID-19 situation. Motivated by the COVID-19 epidemic and the problems it poses to the supply chain's long-term viability, this study used dynamic capabilities theory as a foundation to assess the imperative role of big data analytics capabilities (management, talent and technological) toward green supply chain performance.


This study was quantitative and cross-sectional. Data were collected from 374 executives through a survey questionnaire method by applying an appropriate random sampling technique. The authors employed PLS-SEM to analyze the data.


The findings revealed that big data analytics capabilities play a significant role in boosting up sustainable supply chain performance. It was found that big data analytics capabilities significantly contributed to supply chain risk management and innovative green product development that ultimately enhanced innovation and learning performance. Moreover, innovation and green learning performance has a significant and positive relationship with sustainable supply chain performance. In the post COVID-19 situation, organizations can enhance their sustainable supply chain performance by giving extra attention to big data analytics capabilities and supply chain risk and innovativeness.


The paper specifically emphasizes on the factors that result in the sustainability in supply chain integrated with the big data analytics. Additionally, it offers the boundary condition for gaining the sustainable supply chain management.




Ethical Approval: Not Applicable

Consent to Participate: Consent to participate in the study was obtained from the respondents.

Consent to Publish: All authors are agreed to publish this manuscript.

Funding: No funding was received to assist with the preparation of this manuscript.

Competing Interests: The authors declare that there is no competing interest.

Availability of data and materials: Data and relevant materials are available on request to corresponding authors.


Nisar, Q.A., Haider, S., Ameer, I., Hussain, M.S., Gill, S.S. and Usama, A. (2022), "Sustainable supply chain management performance in post COVID-19 era in an emerging economy: a big data perspective", International Journal of Emerging Markets, Vol. ahead-of-print No. ahead-of-print.



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