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Growing Sustainable Performance Through Strategic Purchasing and Blockchain Technology: The Case of Manufacturing Sector

Author

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  • Luay Jum’a
  • Mohand Tuffaha
  • Ahmed Adnan Zaid

Abstract

The study investigates the impact of strategic purchasing (SP) on manufacturing firms’ economic, environmental, and social sustainability. It also examines the moderating impact of blockchain technology (BCT) between SP and sustainability performance. The study additionally applied importance-performance map analysis (IPMA) to analyze BCT benefits to sustainability performance in Jordanian manufacturing sector. The study is quantitative in nature, and the data collected through a structured questionnaire from managers at different levels of management within manufacturing firms in Jordan resulted in 316 responses. The results of the study showed that SP has a significant and positive impact on all dimensions of sustainability performance. Additionally, the study revealed that BCT has a significant moderating impact on the relationship between SP and sustainability performance. Finally, the study identified BCT benefits importance that affect each type of sustainability performance along with their priorities. This study made a theoretical contribution by developing a framework that will help researchers gain a better understanding of the SP, BCT, and sustainable performance. Moreover, the study provided practical insights for strategic decision-making in the manufacturing sector. It highlighted SP’s role in sustainability performance and how companies can invest in BCT to improve sustainability. The study warns against generalizability and emphasizes the need to conduct the study in specific industries or countries.

Suggested Citation

  • Luay Jum’a & Mohand Tuffaha & Ahmed Adnan Zaid, 2025. "Growing Sustainable Performance Through Strategic Purchasing and Blockchain Technology: The Case of Manufacturing Sector," SAGE Open, , vol. 15(1), pages 21582440251, March.
  • Handle: RePEc:sae:sagope:v:15:y:2025:i:1:p:21582440251324011
    DOI: 10.1177/21582440251324011
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