Jie Cheng, Nai Ru Xu, Noor Ullah Khan, Harcharanjit Singh Mahinder Singh
{"title":"The impacts of artificial intelligence literacy, green absorptive capacity, and green information system on green innovation","authors":"Jie Cheng, Nai Ru Xu, Noor Ullah Khan, Harcharanjit Singh Mahinder Singh","doi":"10.1002/csr.3017","DOIUrl":null,"url":null,"abstract":"<p>In the contemporary digital landscape, the focus of manufacturing companies on green innovation has garnered attention in the business and academic realms. Nonetheless, the existing research system for manufacturers lacks a systematic study on how artificial intelligence literacy may bolster green innovation efforts. This study endeavors to construct a theoretical framework for artificial intelligence literacy, green information system, green absorptive capacity, and green innovation with respect to the dynamic capability theory and conducting empirical analysis utilizing survey data obtained from 288 ISO14001 manufacturing firms in Malaysia. The findings revealed that artificial intelligence literacy is a significant determinator of green absorptive capacity, the positive outcome of green absorptive capacity is green innovation, and the positive link between artificial intelligence literacy and green absorptive capacity is moderated by green information system. However, artificial intelligence literacy didn't exhibit a direct relationship with green innovation, even when considering green absorptive capacity as a mediator. These results not only offer compelling insights into the link between artificial intelligence literacy and green innovation, but also hold significant implications for academic research and policymaking concerning sustainable development and cleaner manufacturing production.</p>","PeriodicalId":48334,"journal":{"name":"Corporate Social Responsibility and Environmental Management","volume":"32 2","pages":"2375-2389"},"PeriodicalIF":8.3000,"publicationDate":"2024-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Corporate Social Responsibility and Environmental Management","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/csr.3017","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
In the contemporary digital landscape, the focus of manufacturing companies on green innovation has garnered attention in the business and academic realms. Nonetheless, the existing research system for manufacturers lacks a systematic study on how artificial intelligence literacy may bolster green innovation efforts. This study endeavors to construct a theoretical framework for artificial intelligence literacy, green information system, green absorptive capacity, and green innovation with respect to the dynamic capability theory and conducting empirical analysis utilizing survey data obtained from 288 ISO14001 manufacturing firms in Malaysia. The findings revealed that artificial intelligence literacy is a significant determinator of green absorptive capacity, the positive outcome of green absorptive capacity is green innovation, and the positive link between artificial intelligence literacy and green absorptive capacity is moderated by green information system. However, artificial intelligence literacy didn't exhibit a direct relationship with green innovation, even when considering green absorptive capacity as a mediator. These results not only offer compelling insights into the link between artificial intelligence literacy and green innovation, but also hold significant implications for academic research and policymaking concerning sustainable development and cleaner manufacturing production.
期刊介绍:
Corporate Social Responsibility and Environmental Management is a journal that publishes both theoretical and practical contributions related to the social and environmental responsibilities of businesses in the context of sustainable development. It covers a wide range of topics, including tools and practices associated with these responsibilities, case studies, and cross-country surveys of best practices. The journal aims to help organizations improve their performance and accountability in these areas.
The main focus of the journal is on research and practical advice for the development and assessment of social responsibility and environmental tools. It also features practical case studies and evaluates the strengths and weaknesses of different approaches to sustainability. The journal encourages the discussion and debate of sustainability issues and closely monitors the demands of various stakeholder groups. Corporate Social Responsibility and Environmental Management is a refereed journal, meaning that all contributions undergo a rigorous review process. It seeks high-quality contributions that appeal to a diverse audience from various disciplines.