A Study on Eco Hotels and Green Operations in Indian Hospitality (Hotel) Industry

Authors:-Assistant Professor Dr. Ankita Singh

Abstract- The rapid integration of Artificial Intelligence (AI) into Human Resource (HR) decision-making has truly transformed how we approach recruitment, performance reviews, and employee engagement. With AI-driven tools, organizations can boost their efficiency by automating tasks, minimizing biases, and making more informed decisions based on data. However, there are still valid concerns about the ethical implications of AI, its lack of emotional intelligence, and the potential for reinforcing biases in hiring and promotion processes. This paper delves into the complex relationship between AI and human judgment in HR, examining how AI can enhance decision-making while ensuring that human oversight maintains fairness, ethical standards, and contextual understanding. By using a mixed-method approach, the study gathers insights from HR professionals on the integration of AI, focusing on key issues like transparency, accountability, and trust in AI-assisted decisions. The findings reveal that while AI significantly boosts efficiency and accuracy in HR tasks, human judgment remains essential for subjective assessments, such as cultural fit, employee well-being, and resolving conflicts. The research proposes a hybrid model that combines AI’s analytical strengths with human insight as the best approach for HR decision-making. This study contributes to the ongoing conversation about AI’s role in HR, offering recommendations for organizations to implement AI responsibly while maintaining ethical practices. It emphasizes the importance of establishing AI governance frameworks, highlighting that AI should complement, not replace, human HR professionals.

Authors:-Research Scholar Viraj P. Tathavadekar, Associate Professor Nitin R. Mahankale

Abstract- The current research paper studies the integration of circular economy practice into supply chain management, in terms of optimal resource utilization, and environmental sustainability. It introduces the transition of the traditional linear supply chain model to a more circular one with strategies that would promote resource recovery, reuse, and regeneration. Paper deepens into key principles of the circular economy, which includes waste reduction, extended product life cycles, and reduced use of resources, all applicable at any level of the supply chain-from design to end- of-life management. The economic, environmental, and social benefits are analyzed through a comprehensive literature review and case studies concerning waste reduction, cost saving, and supply chain resilience during disruptions. Integration challenges in adopting circular economy principles among organizations, which include technological barriers, regulatory impediments, and change barriers, are further discussed. It ends with strategies to overcome such barriers through collaboration, innovation, and the effective use of tools in the digital world, for more sustainable, circular supply chain.