Bibliometric Analysis of Sustainability in Business Management Policies Using Artificial Intelligence

Abstract

This research examines trends in Sustainable Business Models (SBMs), addressing the current deficiency in thorough literature analysis, notwithstanding the extensive studies on this subject. This research analyzes 1879 papers on SBM from 2000 to 2024 using Elsevier's Scopus databases, offering an empirical survey of the topic and emphasizing significant contributions, writers, and publications. This method guarantees the development of a comprehensive, multidimensional database spanning several disciplines while revealing the complex networks of research groups that characterize the SBM area. Utilizing the VOSviewer program for advanced network evaluation reveals the main study clusters within the SBM research. The study seeks to identify the primary research patterns and assess the links and impacts of articles examining the interactions between Artificial Intelligence (AI) and sustainability within a business or management setting. The evaluation encompasses citation evaluation, Bibliographical Coupling (BC), and keyword co-occurrence. Research reveals that several studies focus on innovations and value generation that are important to SBMs. The study's trends discovered by SBMs include several critical areas: incorporating circular economy rules into company structures, innovative strategies in sustainable Supply Chains (SC), the convergence of entrepreneurship with Corporate Social Responsibilities (CSR), and the impact of technological advances and AI on improving environmental oversight. This work creates the present state of SBM studies, identifies discrepancies, and proposes paths for future inquiries, highlighting the necessity of an integrated strategy to develop SBMs that are profitable, ecologically sound, and socially culpable. This expanded knowledge encourages ongoing inquiry and creativity in the sector, facilitating the worldwide shift into more sustainable corporate practices and processes