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Green data analytics, blockchain technology for sustainable development, and sustainable supply chain practices: evidence from small and medium enterprises - 2021

Green Data Analytics, Blockchain Technology For Sustainable Development, And Sustainable Supply Chain Practices: Evidence From Small And Medium Enterprises

Research Area:  Blockchain Technology

Abstract:

With attempts being made by both governments and organizations to reduce environmental hazards, blockchain technology is becoming a crucial tool for attaining supply chain sustainability in small and medium enterprises (SME). Recognizing this fact, this study investigates the effect of blockchain technology on sustainable supply chain practices to improve organizational performance. In this investigation, data was gathered from 364 respondents, including middle and upper-level managers from SME manufacturing companies in China and Pakistan. The relationships among the endogenous and exogenous variables were tested by employing partial least squares structural equation modeling (PLS-SEM). The primary results suggest that blockchain technology and green information systems positively influence sustainable supply chain practices. Moreover, green information systems and sustainable supply chain practices possess a significant positive association. Sustainable supply chain practices have a positive and significant relationship with sustainability; i.e., operational, environmental, and economic performance. The findings also reveal that three dimensions of organizational sustainability—i.e., operational, environmental, and economic performance—have a significant effect on organizational performance. Additionally, the results of this study provide valuable insights into blockchain technology and offer policy implications for manufacturers and legislators regarding the implementation and promotion of green supply chain practices.

Keywords:  

Author(s) Name:  Syed Abdul Rehman Khan, Danish Iqbal Godil, Charbel Jose Chiappetta Jabbour, Sobia Shujaat, Asif Razzaq & Zhang Yu

Journal name:  Annals of Operations Research

Conferrence name:  

Publisher name:  Springer

DOI:  10.1007/s10479-021-04275-x

Volume Information: