Green HRM: Leveraging HR Practices to Achieve Environmental Sustainability in Organizations

  Artificial Intelligence Artificial Intelligence (AI) is a branch of computer science that enables machines to perform tasks that normally require human intelligence. These tasks include learning, reasoning, problem-solving, and decision-making. AI systems use algorithms and data to recognize patterns, predict outcomes, and make automated decisions. It encompasses technologies such as machine learning, natural language processing, and robotics. AI can process large volumes of data faster and more accurately than humans. It is widely applied in industries like healthcare, finance, education, and HR. By mimicking human cognitive functions, AI helps organizations improve efficiency, reduce errors, and innovate processes (Russell & Norvig, 2021). Branches of AI Expert Systems:  Simulate human decision-making for complex problems, used in healthcare and banking (Tan et al., 2016). Machine Learning (ML):  Machines learn from historical data to ...

  Introduction: Linking Green HRM and Work‑Life Balance                      (Source :https://www.youtube.com/watch?v=IplCvmiZU4M) Green Human Resource Management (Green HRM) refers to embedding environmental management and sustainability principles into traditional HR practices  such as recruitment, training, performance appraisal, and rewards so that organizations not only pursue business objectives, but also ecological responsibility (Aggarwal and Agarwala, 2023). Recent research suggests that Green HRM does more than simply improve a company’s environmental footprint: by shaping work environments, values, and policies, it can positively influence employee well-being and their balance between work and personal life. For instance, employees who perceive their organizations to implement Green HRM practices  like paperless workflows, green-oriented workplace policies, and employee involvement in sustainability initiat...