A Systematic Literature Review on GenAI Through the Lens of Corporate Sustainability

Abstract

Generative artificial intelligence (GenAI) is a subset of AI capable of autonomously producing new content in the form of text, audio, video and code based on previously learned data patterns. As modern organizations face increasing pressure to align with environmental, social, and governance (ESG) objectives, GenAI, due to its enormous potential is reshaping organizational processes, presents an unprecedented opportunity for fostering sustainable practices related knowledge. In this context, this study aims to critically review the existing literature on the topic with the aim of analysing its potential to support social responsibility. Specifically, this Systematic Literature Review (SLR) examines the intersection of GenAI, Knowledge management (KM), and sustainability, emphasizing the role of Green Knowledge Management (GKM), a framework that integrates environmentally conscious knowledge practices into corporate strategy. Through an extensive review of peer-reviewed articles, four key thematic areas emerge: (1) sector-specific application of GenAI for sustainability, (2) Ethical and regulatory concerns on GenAI implementation, (3) GenAI in promoting organizational knowledge and innovation and (4) The role GenAI in corporate social responsibility (CSR). The result of the review indicate that GenAI is increasingly emerging as a catalyst for sustainability. Its role in promoting green innovation and its capacity to facilitate the exchange of knowledge regarding sustainable practices provide crucial support for firms pursuing ESG compliance. Despite these benefits, considerable concerns remain, especially regarding the ethical use of GenAI. This study contributes to the ongoing discussion on the role of GenAI as key enablers of sustainability. By providing a systematization of the research domain, it not only provides a comprehensive understanding of its current applications but also indicates present gaps and opportunities. In addition, it outlines future directions and serves as foundation for further empirical research on the use of GenAI to promote responsible corporate practices.