Purpose: This study aims to address the adoption issues of green and sustainable practices in the hotel industry. The study identifies critical performance indicators (CPIs) and utilizes Hotel Carbon Management Initiative (HCMI) framework to prioritize CPIs for achieving a robust adoption framework for green and sustainable practices.Design/methodology/approach: The hotel industry is driven by changing ecological degradation, and it is necessary to achieve feasible development goals. This research article formulates the CPIs derived from HCMI and decision-making model is created using the Analytic Hierarchy Process (AHP).Findings: In this research, CPIs of HCMI are considered and aim to formulate five major CPIs of HCMI, namely air pollution, energy efficiency, water conservation, noise pollution and waste management. The study identifies the need for better control and sustainable growth in the Indian hotel industry with minimum carbon emissions coupled with the green approach adoption.Research limitations/implications: The CPIs work on minimization of risks and maximizing optimality of return on investment. The development of the hotel industry will be improved and immensely welcomed by capping the carbon emission with the green initiatives. This research is limited as urban hotels are surveyed in this study.Originality/value: This work makes a valid argument to establish HCMI as a model initiative for environment quality improvement and further extension of other activities in the hospitality sector and scale-up sustainable practices for future-ready circular economies.

Industry 4.0 (I4.0) has revolutionized every sector in the last decade. A huge demand has been created in the supply chain for doorstep delivery services. However, many barriers are hindering the progression of I4.0 implementation to last-mile delivery (LMD) operations. In this study, these hindrances need investigation for improving customer satisfaction levels in LMD. The present research is focused on analyzing barriers to adopting I4.0 technologies for sustainable smart supply chains with a special focus on LMD operations. The published literature is critically investigated to determine the crucial factors which are acting as barriers to I4.0 implementation in LMD. The interpretive structure modeling (ISM) approach is adopted to evaluate different levels with their hierarchal order for analyzing the I4.0 barriers to digitalized logistic networks. Delivery capacity emerged as the major barrier to LMD operational networks due to insufficient technological and hardware support for I4.0 cyber-physical systems in logistics. Infrastructure for I4.0 emerged as the most basic requirement for the smart logistics management criteria for efficient LMD. The need to adopt I4.0 technologies for developing inventory hubs and warehouse management has evolved recently. There is scope for customized and specific case studies for the supply chain to achieve a higher level of sustainability. A conceptual framework for a smart and sustainable supply chain is presented and future directions for sustainable LMD are discussed.

This study deals with the performance analysis and volatility estimation of conventional indices including Dow Jones, S&P 500, Brent Oil, Crude Oil and Gold and cryptocurrencies including Bitcoin and Ethereum for the period January 3, 2011 to November 26, 2021 for all of the indices except Ethereum for which the period chosen was from March 10, 2016 to November 26, 2021 due to late incorporation of the cryptocurrency. The stationarity, heteroscedasticity, and serial correlation of the data were considered. Time series regression using the GARCH model is applied for performance analysis and volatility estimation. GARCH (1, 1) estimates show the high performance of cryptocurrencies over the conventional indices, except Gold, which was insignificant, with Ethereum followed by Bitcoin being the most volatile among the different indices. However, Gold remains inert in response to the different indices. However, although the cryptocurrencies add to the country’s revenue, thus minimizing the deficits, there should still be proactive policies and practices to prevent the exploitation of stakeholders, especially for the sake of minority ones.