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Big data analytics-Artificial Intelligence, ambidexterity, and green supply chain management: Implications on responsible economy

Author

Listed:
  • Wang, Shanshan
  • Jia, Chenge
  • Khan, Asif
  • Khan, Naila Habib
  • Hsieh, Chia-Hung
  • Hung, Chung-Wen
  • Chen, Shih-Chih

Abstract

In the current dynamic market businesses have recognized the pivotal role of data and sustainability technologies in attaining competitive advantage. Big Data Analytics-Artificial Intelligence and Green Supply Chain Management are significant sustainability promotion strategies. The research collected data from 220 employees in the Taiwanese manufacturing sector with the help of a survey methodology. The findings revealed significant impacts of Big Data Analytics-Artificial Intelligence on both green supply chain management and supply chain ambidexterity. Moreover, supply chain ambidexterity significantly influences green supply chain management. Lastly, supply chain ambidexterity was also found to mediate the relationship between Big Data Analytics-Artificial Intelligence, and green supply chain management. This study provides several implications for fostering a responsible economy. It elucidates how leveraging Big Data Analytics-Artificial Intelligence enhances supply chain ambidexterity, reinforcing sustainable practices without detectable alterations.

Suggested Citation

  • Wang, Shanshan & Jia, Chenge & Khan, Asif & Khan, Naila Habib & Hsieh, Chia-Hung & Hung, Chung-Wen & Chen, Shih-Chih, 2024. "Big data analytics-Artificial Intelligence, ambidexterity, and green supply chain management: Implications on responsible economy," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 65(1), November.
    • Handle: RePEc:fgv:eaerae:v:65:y:2024:i:1:a:92413
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