Big data analytics-artificial intelligence and supply chain ambidexterity impacts on corporate image and green communication
Industrial Management & Data Systems
ISSN: 0263-5577
Article publication date: 7 August 2024
Issue publication date: 1 October 2024
Abstract
Purpose
The theoretical background bases on the big data analytics-artificial intelligence (BDA-AI) technologies and supply chain ambidexterity (SCAX) in the firms to assess their sustainability endeavors such as green supply chain management (GSCM) to improve their green communication and corporate image.
Design/methodology/approach
Around 220 participants in the manufacturing firms are participants' industry expertise, diverse roles, and representation as key stakeholders.
Findings
The results show BDA-AI and SCAX affected on GSCM and found the significant relationships with green communication and corporate image. Green communication was discovered to impact corporate image significantly.
Originality/value
Prior studies are neglected to address the relationship among the AI, powered by rapid computational and BDA breakthroughs, redefines cognitive tasks, achieving feats previously deemed impossible-making implicit judgments, simulating emotions, and driving operations. This study selects manufacturing firms as respondents due to their forefront of BDA-AI and supply chain ambidexterity adoption to benefit the operational efficiency and competitiveness. The firms intricate supply chains, diverse stakeholders, and strategic emphasis on corporate image make it an ideal context to examine the nuanced impact of these technologies.
Keywords
Citation
Chen, C.-T., Chen, S.-C., Khan, A., Lim, M.K. and Tseng, M.-L. (2024), "Big data analytics-artificial intelligence and supply chain ambidexterity impacts on corporate image and green communication", Industrial Management & Data Systems, Vol. 124 No. 10, pp. 2899-2918. https://doi.org/10.1108/IMDS-01-2024-0045
Publisher
:Emerald Publishing Limited
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