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This study aims to explore the impact of remote work (RW) on millennials’ organizational commitment (OC) by addressing four research gaps identified in existing studies. Drawing on social exchange theory (SET), the authors also investigate if millennials are well-suited for RW environment and how shared leadership (SL) and followership moderate the relationship between RW and millennials’ OC.

A survey was conducted involving 154 millennial employees. Confirmatory factor analysis and hierarchical multiple regression analysis were performed to investigate the moderating effect of SL and followership on the relationship between RW and millennials’ OC.

The results reveal that millennials’ OC increases with the degree of RW. Moreover, both SL and followership exhibited a moderating effect on the RW-millennials’ OC relationship, emphasizing their importance in shaping millennials’ OC.

While the effect of RW on individual-level outcomes remains controversial, this study sheds light on the positive impact based on millennials' characteristics and suggests strategies to strengthen their OC in remote working environments. However, due to the cross-sectional nature of our research, a longitudinal study would be valuable to provide deeper insights.

This study contributes to the field of organizational behavior (OB) by connecting millennials’ traits with SL and followership, offering valuable insights into strengthening their OC within the context of RW through the lens of SET. By addressing and filling the four identified research gaps, our research advances knowledge in the improvement of millennials’ OC within the RW environment.

The purpose of this study is to examine the relationship between pollutant emissions, financial development and IFRS in developed and developing countries between 1998 and 2022.

Data were obtained from World Development Indicators and World Governance Indicators of the World Bank.

Using FGLS and GMM estimators, the results provide evidence that financial development has a significant positive impact on a variety of pollutant emissions. However, this positive impact is moderated by IFRS for the overall sample and country income groups.

Governments and regulatory organizations should support companies’ investments in clean energy and technologies to slow down environmental degradation. Tax credits and subsidies may be helpful to achieve this goal. Also, governments may encourage companies to cooperate with universities and research institutions to develop environment-friendly production and distribution methods to reduce pollution. Although stakeholders may obtain information about environmental issues in financial statements that are prepared in accordance with IFRS, there is a need for standardization of their contents.

Greenhouse gases are major contributors to climate change and global warming. In addition to private costs borne by producers, the production and consumption of products have social costs arising from pollution that affects air, water, and soil. Pollution adversely affects people's physiological and psychological health, which decreases labor productivity, thereby leading to a decrease in economic growth.

According to the author’s knowledge, this is the first study that examines the impact of IFRS on the relationship between financial development and pollutant emissions.

Land value in urban areas in India is influenced by regulations, bylaws and the amenities associated with them. Planning interventions play a significant role in enhancing the quality of the neighbourhood, thereby resulting in a change in its value. Land is a distinct commodity due to its fixed location, and planning interventions are also specific to certain locations. Consequently, the factors influencing land value will vary across different areas. While recent literature has explored some determinants of land value individually, conducting a comprehensive study specific to each location would be more beneficial for making informed policy decisions. Therefore, this article aims to examine and identify the critical factors that impact the value of residential land in the National Capital Territory of Delhi, India.

The study employed a combination of semi-structured and structured interview methods to construct a Relative Importance Index (RII) and ascertain the critical determinants affecting residential land value. A sample of 36 experts, comprising property valuers, urban planners and real estate professionals operating within the National Capital Territory of Delhi, India, were selected using snowball sampling techniques. Subsequently, rank correlation and ANOVA methods were employed to evaluate the obtained results.

Location and stage of urban development are the most critical determinants in determining residential land values in the National Capital Territory of Delhi, India. The study identifies a total of 13 critical determinants.

A scenario planning approach can be developed to achieve an equitable distribution of values and land use entropy. A land value assessment model can also be developed to assist professional valuers.

There has been a lack of emphasis on assessing the impact of planning interventions and territorial regulation on land values in the context of Delhi. This study will contribute to policy decision-making by developing a rank list of planning-based determinants of land value.