Artificial Intelligence Adoption, Green HRM, and Employee Behavior: Driving Environmental Sustainability in SMEs with Organizational Culture as a Moderator

作者：Sonia Najam Shaikh, Jan Muhammad Sohu, Suman Shaikh, Fatima Zahra Kherazi, Sanam Soomro · 发表于：SAGE Open · 年份：2025 · DOI：10.1177/21582440251392673 · 被引用次数：18

This study investigates the role of Artificial Intelligence (AI) in promoting environmental with in the manufacturing sector of small and medium enterprises (SMEs) in Pakistan. Grounded in Social Cognitive Theory (SCT), Resource-Based View (RBV), and Organizational Culture Theory (OC Theory), this research integrates AI adoption with Green Human Resource Management (GHRM) to explore how advanced technologies facilitate sustainable practices. Social Cognitive Theory (SCT) emphasizes the role of individual behavior in shaping organizational outcomes. In this study, it specifically highlights how AI-enabled tools can influence Green Employee Behavior (GEB), empowering employees to engage in eco-friendly practices that contribute to sustainability. Resource-Based View (RBV) suggests that organizations can achieve a competitive advantage by leveraging valuable, rare, and inimitable resources. This theory justifies the integration of AI adoption and sustainability-driven HR practices as strategic resources that SMEs can use to enhance their environmental performance. Organizational Culture Theory (OC Theory) underscores the importance of shared organizational values and norms in supporting the adoption of sustainability practices. It suggests that a strong pro-environmental culture enhances the acceptance and effectiveness of AI-driven GHRM practices. The study introduces GEB as a mediating factor, emphasizing the importance of employee-driven actions in translating AI-powered HR s...