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BIG DATA ANALYTICS-ARTIFICIAL INTELLIGENCE, AMBIDEXTERITY, AND GREEN SUPPLY CHAIN MANAGEMENT: IMPLICATIONS ON RESPONSIBLE ECONOMY

Shanshan Wang et al.

RAE-Revista de Administracao de Empresas2025https://doi.org/10.1590/s0034-759020250101article
AJG 1ABDC C
Weight
0.48

What the paper says

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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https://doi.org/https://doi.org/10.1590/s0034-759020250101

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@article{shanshan2025,
  title        = {{BIG DATA ANALYTICS-ARTIFICIAL INTELLIGENCE, AMBIDEXTERITY, AND GREEN SUPPLY CHAIN MANAGEMENT: IMPLICATIONS ON RESPONSIBLE ECONOMY}},
  author       = {Shanshan Wang et al.},
  journal      = {RAE-Revista de Administracao de Empresas},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1590/s0034-759020250101},
}

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BIG DATA ANALYTICS-ARTIFICIAL INTELLIGENCE, AMBIDEXTERITY, AND GREEN SUPPLY CHAIN MANAGEMENT: IMPLICATIONS ON RESPONSIBLE ECONOMY

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Evidence weight

0.48

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.41 × 0.4 = 0.16
M · momentum0.63 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.