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The impact of big data-artificial intelligence on sustainable performance considering the mediating role of green supply chain practices

Author

Listed:
  • Elham Dashti

    (Islamic Azad University, Tehran)

  • Reza Rostamzadeh

    (Islamic Azad University, Tehran)

Abstract

The objective of this research is to explore the influence of big data artificial intelligence (AI) on sustainable performance, taking into account the mediating effect of green supply chain management (GSCM) practices. This research is quantitative and descriptive in nature, as it delineates the characteristics of the variables involved. Additionally, this study is correlational since it investigates the interrelations among the variables. A sample of 80 employees was examined through a standard questionnaire. The data gathered were analyzed employing the structural equation modeling (SEM) technique along with its associated software, partial least squares (PLS). The findings of this research revealed that GSCM practices serve as a mediator in the relationship between big data-AI and sustainable performance. Furthermore, the results demonstrated that big data-AI significantly influences GSCM practices, and they also corroborated our hypothesis that both big data-AI and GSCM practices exert a significant effect on sustainable performance.

Suggested Citation

  • Elham Dashti & Reza Rostamzadeh, 2026. "The impact of big data-artificial intelligence on sustainable performance considering the mediating role of green supply chain practices," Transformations and Sustainability, Centre for Productivity and Sustainability Analysis, vol. 2(1), pages 41-64.
    • Handle: RePEc:dbj:trasus:v:2:y:2026:i:1:p:41-64
    DOI: 10.63775/xpw9v151
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    1. Chen, Peng-Ting & Lin, Chia-Li & Wu, Wan-Ning, 2020. "Big data management in healthcare: Adoption challenges and implications," International Journal of Information Management, Elsevier, vol. 53(C).
    2. Sebastian Kot, 2018. "Sustainable Supply Chain Management in Small and Medium Enterprises," Sustainability, MDPI, vol. 10(4), pages 1-19, April.
    3. Ma, Jiayi, 2025. "Big Data and Artificial Intelligence in the Transportation Economy," Pinnacle Academic Press Proceedings Series, Pinnacle Academic Press, vol. 1, pages 144-150.
    4. Shengbin Hao & Haili Zhang & Michael Song, 2019. "Big Data, Big Data Analytics Capability, and Sustainable Innovation Performance," Sustainability, MDPI, vol. 11(24), pages 1-15, December.
    5. Niu, Yuhao & Wen, Wen & Wang, Sai & Li, Sifei, 2023. "Breaking barriers to innovation: The power of digital transformation," Finance Research Letters, Elsevier, vol. 51(C).
    6. Sumit Maheshwari & Prerna Gautam & Chandra K. Jaggi, 2021. "Role of Big Data Analytics in supply chain management: current trends and future perspectives," International Journal of Production Research, Taylor & Francis Journals, vol. 59(6), pages 1875-1900, March.
    7. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    8. Shun-Pin Chuang & Sun-Jen Huang, 2018. "The Effect of Environmental Corporate Social Responsibility on Environmental Performance and Business Competitiveness: The Mediation of Green Information Technology Capital," Journal of Business Ethics, Springer, vol. 150(4), pages 991-1009, July.
    9. Haili Zhang & Michael Song & Huanhuan He, 2020. "Achieving the Success of Sustainability Development Projects through Big Data Analytics and Artificial Intelligence Capability," Sustainability, MDPI, vol. 12(3), pages 1-23, January.
    10. Maria Persdotter Isaksson & Hana Hulthén & Helena Forslund, 2019. "Environmentally Sustainable Logistics Performance Management Process Integration between Buyers and 3PLs," Sustainability, MDPI, vol. 11(11), pages 1-19, May.
    11. Zain Anwar Ali & Mahreen Zain & M. Salman Pathan & Peter Mooney, 2024. "Contributions of artificial intelligence for circular economy transition leading toward sustainability: an explorative study in agriculture and food industries of Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 19131-19175, August.
    12. Papadopoulos, Thanos & Balta, M.E., 2022. "Climate Change and big data analytics: Challenges and opportunities," International Journal of Information Management, Elsevier, vol. 63(C).
    13. Li, Lei & Lin, Jiabao & Ouyang, Ye & Luo, Xin (Robert), 2022. "Evaluating the impact of big data analytics usage on the decision-making quality of organizations," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    14. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Bryde, David J. & Giannakis, Mihalis & Foropon, Cyril & Roubaud, David & Hazen, Benjamin T., 2020. "Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations," International Journal of Production Economics, Elsevier, vol. 226(C).
    15. Sadia Samar Ali & Rajbir Kaur & Shahbaz Khan, 2023. "Evaluating sustainability initiatives in warehouse for measuring sustainability performance: an emerging economy perspective," Annals of Operations Research, Springer, vol. 324(1), pages 461-500, May.
    16. Aydiner, Arafat Salih & Tatoglu, Ekrem & Bayraktar, Erkan & Zaim, Selim & Delen, Dursun, 2019. "Business analytics and firm performance: The mediating role of business process performance," Journal of Business Research, Elsevier, vol. 96(C), pages 228-237.
    17. Ionut Viorel Herghiligiu & Ioan-Bogdan Robu & Marius Pislaru & Adrian Vilcu & Anca Laura Asandului & Silvia Avasilcăi & Catalin Balan, 2019. "Sustainable Environmental Management System Integration and Business Performance: A Balance Assessment Approach Using Fuzzy Logic," Sustainability, MDPI, vol. 11(19), pages 1-30, September.
    18. Miltiades D. Lytras & Anna Visvizi, 2019. "Big Data and Their Social Impact: Preliminary Study," Sustainability, MDPI, vol. 11(18), pages 1-18, September.
    19. Steve J. Bickley & Alison Macintyre & Benno Torgler, 2025. "Artificial Intelligence and Big Data in Sustainable Entrepreneurship," Journal of Economic Surveys, Wiley Blackwell, vol. 39(1), pages 103-145, February.
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