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PurposeThis 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/approachThe 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).FindingsIn 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/implicationsThe 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/valueThis 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.

Purpose The objective of the present study is to identify and analyze a set of critical success factors (CSFs) for ice-cream industry [cold chain management (CCM)] that helps in increasing the efficacy, quality, performance and growth of the supply chain organization. Design/methodology/approach A questionnaire survey with companies in ice-cream sector and a panel study with experts were conducted to identify and validate CSFs and their associated sub-factors. Eight CSFs identified from the cold chain domain vetted for the ice-cream industry and then prioritized by using one of the most well-known decision-making frameworks, Decision-Making Trial and Evaluation Laboratory. The general verdicts of the modelling and its application to the real-world case have been tested through an ice-cream company supply chain. Findings The result shows that the significant CSFs accountable for the growth of the ice-cream industry are the infrastructure and capacity building, consistent product improvement and operational efficiencies of the value chain. Subsequently, it was identified that the use of IT and related technologies and improved processes for operations also play a considerable role in the performance of ice-cream industry. Practical implications The study successfully outlines the effective CCM practices for critical issues. The proposed methodology and factor modelling case demonstration might be useful in analyzing the logistic chains of products such as fruits, drugs and meat. Originality/value The meritorious identification of critical areas and executing mitigation plans bring notable benefits to the firms such as improved operational efficiencies, improved time to market performance and product innovation, which bring additional benefits to the producers.

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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.