人工智能能力与环境可持续性绩效：绿色知识管理的调节作用

IF 10.1 1区社会学 Q1 SOCIAL ISSUES

Technology in Society Pub Date : 2025-03-10 DOI:10.1016/j.techsoc.2025.102870

Sachin Kumar , Vinod Kumar , Ranjan Chaudhuri , Sheshadri Chatterjee , Demetris Vrontis

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引用次数: 0

摘要

人工智能的能力不仅可以促进绿色技术创新，还可以提高组织的环境可持续性绩效。尽管如此，从绿色知识管理的角度来看，人工智能能力、绿色技术创新和环境可持续性绩效之间的相互作用在很大程度上仍未得到探索。本研究旨在通过研究人工智能能力对绿色技术创新以及最终对环境可持续性绩效的影响来填补这一空白。本研究还探讨了绿色技术创新如何在人工智能能力与环境可持续性绩效之间起中介作用，以及绿色知识管理如何调节人工智能能力与绿色技术创新以及人工智能能力与环境可持续性绩效之间的关系。为了验证所提出的概念关系，从印度浦那的IT公司中收集了237名受访者的数据，并使用PLS-SEM 3.0软件进行验证。本文的研究成果在理论上为资源基础理论、知识基础理论、动态能力理论和吸收能力理论提供了理论支持。此外，本研究还通过揭示人工智能能力和绿色技术创新的潜力，通过绿色知识管理提高环境可持续性绩效，从而做出了实际贡献。该研究的见解还可以帮助管理人员利用人工智能能力来加强绿色技术创新，并提高组织的环境可持续性绩效。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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AI capability and environmental sustainability performance: Moderating role of green knowledge management

The capabilities of AI may not only foster green technology innovations but also enhance the environmental sustainability performance of organizations. Despite this, the interplay between AI capabilities, green technology innovations, and environmental sustainability performance largely remain unexplored in view of green knowledge management. The present study aims to fill this gap by examining the impact of AI capabilities on green technology innovations and ultimately on environmental sustainability performance. This study also examines how green technology innovations mediates between AI capabilities and environmental sustainability performance, and how green knowledge management moderates the relationships between AI capabilities and green technology innovations and between AI capabilities and environmental sustainability performance. To validate the proposed conceptual relationships, data were collected from IT companies of Pune, India from 237 respondents, and they were validated with PLS-SEM 3.0 software. The results of the present study contribute theoretically to the resources-based view, knowledge-based view, dynamic capability, and absorptive capacity theories. Moreover, this study has also contributed practically by revealing the potential of AI capabilities and green technology innovations to enhance environmental sustainability performance through green knowledge management. The insights of the study could also help managers to leverage the AI capabilities to enhance green technology innovations and to improve environmental sustainability performance of organizations.

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来源期刊

Technology in Society Multiple-

CiteScore

17.90

自引率

14.10%

发文量

316

审稿时长

60 days

期刊介绍： Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.