双灵巧性
大数据
供应链
分析
商业智能
供应链管理
业务
产业组织
知识管理
数据科学
计算机科学
营销
数据挖掘
作者
Shanshan Wang,Chenge Jia,Asif Khan,Naila Habib Khan,Chia-Hung Hsieh,Chung-Wen Hung,Shih‐Chih Chen
标识
DOI:10.1590/s0034-759020250101
摘要
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.
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