In the field of green human resource management (GHRM), green practices and employee environmental commitment (EEC), there is a need to investigate these dynamics in diverse organizational contexts, such as the hospitality industry. Within hospitality industry, employee behavior is a major factor in determining environmental commitment. This study investigates the connection between GHRM practices and pro-environmental behavior (task-related and proactive pro-EB) among hospitality employees, aiming to enhance their environmental dedication. To conduct this study, we reached out to the HR managers of four hotels in India and collected 281 filled responses through a convenience sampling technique. Drawing on empirical evidence from India, the study supports the abilities, motivation, and opportunities theory and the social exchange theory framework to understand the GHRM mechanism with employee pro-EB and environmental commitment within the hospitality industry. The developed hypotheses and conceptual model used the structural equation modeling technique to test this mechanism. The study findings demonstrated that GHRM promotes pro-EB among hospitality industry employees to improve environmental commitment. This study adopts a unique approach to GHRM by considering the influence of employees' proactive and task-related pro-EB in enhancing their environmental commitment in the hospitality sector.

The study explores the relationship between an organization's survival and its digital knowledge management (DKM) in a rapidly changing digital world. It emphasizes the role of acquiring, sharing, and applying knowledge digitally in organizational adaptation and competitiveness. The research utilizes current literature and theoretical frameworks to explore the importance of systems thinking and organization learning for sustainability purposes. Moreover, it examines how technological uncertainty influences these relationships. The study recruited 479 employees working in manufacturing firms in India and employed partial least squares for data analysis. The findings suggest that when companies seek to maximize resource efficiency while minimizing environmental impact, they must improve their digital knowledge processes. This work aims to provide insights for organizations seeking to benefit from digital technology without endangering global sustainability efforts, and to provide appropriate recommendations.

This study explores the use of digital technologies by food supply chain firms to enhance circular practices, aiming to boost the social, economic, and environmental sustainability of food supply chains. The literature on digital technologies in the food supply chain has experienced significant growth in the last few years. Given the critical importance of these technologies, there is an urgent need for a thorough systematic literature review to integrate and reconcile the findings. This research uses SPAR-4 SLR with the theories, context and methods (TCM) framework to synthesize the body of literature on digital technologies for circular and sustainable food supply chain. The study integrates existing knowledge to propose future research directions, while also addressing identified gaps in theories, methods and contexts.

The study analyzes the impact of macroeconomic, governance and risk factors on foreign direct investment (FDI) intensity with respect to the US market during the period 1960–2019. The study adopted regression methodology. The FDI, macroeconomic and risk data were sourced from the Federal Reserve Economic Data (FRED) database. The governance data were collected from the World Bank Governance Database. The study suggests that infrastructural investments lead to higher FDI. A stronger Euro leads to higher FDI activity in the United States. Research & Development investments is a significant factor which contributes towards enhanced FDI activity. The higher the corporate profitability, the greater the FDI inflows. Exports and imports are significant factors which determine FDI in markets like USA. Inflation has a negative impact on FDI flow regulations, which are aimed to promote private sector development is negatively related to FDI intensity. FDI activity by firms tend to be lower when corruption levels are higher in the country. The higher the governance perception in terms of voice and accountability of citizens, the greater the propensity to attract FDI. The perception of the effectiveness of a government’s commitment towards the quality of public and civil services is directly related to FDI investment.

Artificial Intelligence (AI) is becoming a necessary part of our lives, and its usage will be increased in the near future, but one of the major issues with AI is that there are still no proper guidelines for ethical behavior. The study examines how ethical theories can impact the design of AI systems, delving into how these technological advancements can consider the moral frameworks within organizations. The authors have framed a conceptual model based on the exploratory study, along with available literature on designing ethical guidelines for the latest technological offerings like AI. Ethical theories can consequently have a positive impact on designing ethical AI. Specifically, they have studied the association between each of the four, i.e. deontology, virtue, utilitarianism, and right-based ethics, with the design of ethical AI. The study also analyzed the moderating impact of ethical relativism and openness in designing and achieving an ethical AI. This is the first study on how ethical theories can build a ground foundation for ethical AI.