Purpose The purpose of this paper is to investigate the impact of organizational size on adoption of green supply chain management (GSCM) practices for the Indian industry. It also evaluates the impact of GSCM practices on organizational performance. Design/methodology/approach This study aims to empirically test the GSCM model to investigate the present orientation of the Indian industry toward GSCM practices using a pre-tested structured questionnaire. The statistical inferences were drawn using the data provided by 161 Indian firms. This has compared the GSCM practice implementations among small-sized, medium-sized and large-sized organizations. Findings The study reveals that Indian organizations have shown a satisfactory implementation of majority of the environmental practices, except supplier ISO:14001 certification and Tier-II supplier evaluation. Out of 21 practices, medium-sized organizations have adopted GSCM practices at a similar level compared with large organizations, with three exceptions: existing environmental management systems, support from mid-level and top management and supplier evaluation for environmental practice. It was found that GSCM adoption can lead to equal improvements in operational performance for both large-size and medium-size organizations. Originality/value This paper makes two major contributions in the domain of green supply chain practices in India. First, it investigates the adoption of GSCM practices in organizations of different sizes (small, medium and large) and the impact of GSCM practices on the performance of organizations of different sizes. Second, it identifies the key areas for improvement and recommends a set of measures for improving the implementation of GSCM practices in Indian organizations.

PurposeThe purpose of this paper is to explore the impact of five dimensions of green supply chain management (GSCM) practices (i.e. internal environmental management, green purchasing, cooperation with customers, eco-design, and investment recovery) on three dimensions of organizational performance (i.e. environmental, economic and operational performance).Design/methodology/approachData were collected based on a cross-sectional survey of managers of 160 manufacturing firms in India. Structural equation modelling was used to test the influence of GSCM practices on each of the organizational performance outcomes.FindingsExcept for internal environmental management and green purchasing, all other GSCM dimensions are found to significantly impact at least one of the performance dimensions, either directly or indirectly. The results highlight that investment recovery practice is a key predictor of environmental performance, whereas eco-design is a key predictor of operational performance. The structural equation modeling result also suggests that GSCM do not directly affect economic performance, but can improve it indirectly.Research limitations/implicationsSince data was collected from managers of manufacturing firms on the basis of their subjective evaluations, future research studies should employ objective performance indicators for analysis. Also, the study did not consider some dimensions of GSCM practices, which can be included in future studies.Practical implicationsManufacturing firms should implement GSCM practices not just because of the pressure from regulatory bodies but also to elevate their environmental, operational and economic performance. The proposed model in this paper suggests practitioners which GSCM factors are driving these performance changes and supports the building of a roadmap for GSCM implementation in their organization.Originality/valueManufacturing firms from four different operating sectors, namely automotive, electrical and electronics, process and machinery sectors are the respondents. The originality of the paper lies in testing the influence of GSCM practices on organizational performance in a novel context, where most GSCM initiatives fail for one reason or another. Furthermore, the assessment of the interaction between five constructs of GSCM practices and three constructs of organizational performance in the Indian manufacturing context offers unique conceptual contribution to the researches in the GSCM field.

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.

Today, businesses need to develop their strategies in managing the green supply chain to honour green practices and developments to maximize sustainability. Many managers and owners of businesses depend on green suppliers to achieve competitive advantages worldwide, but the identification of the right green supplier is a challenge for them. This research aims to identify environmental selection criteria for suppliers and establish a structure that will allow decision-makers to evaluate and prioritize green suppliers. In this study, we have taken the data from different automobile companies to analyze the importance of environmentally friendly practices, operation life-cycle, and other factors in selecting suppliers. Based on different green practices, the best supplier selection has been done by using Expert Choice software. This research contributes primarily to establishing a framework which will enable managers to identify their green supplier.

The paper deals with a multi-criteria analysis of stress intensity in the urban areas of India during COVID-19. For instance, a person may not be afraid of driving fast alone but might experience great fear when driving fast on the road with family. Such thoughts of panic and anxiety can overpower the person in these times of COVID-19. In these troubled times of Coronavirus pandemic, social distancing and the lockdown, it is usual for people to feel anxious and have no peace of mind. Thus stress triggers in many ways, i.e. staying healthy, concern for job etc. Some of the major economies in the world, including INDIA, are fighting to find a cure by way of vaccines to stop this pandemic. However, no luck to find a solution to end this pandemic so far is triggering the fear, anxiety and adding stress levels among many of us. The fear of pandemic and following guidelines of the lockdown in India have exacerbated symptoms like anxiety in those with existing stress levels. This paper provides a comparative analysis of TOPSIS in the sense of taking decisions to rate India's major urban cities according to their feeling of overload. The CRITIC method has been used

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With rapid growth in the field of communication, technology, and higher internet penetration, extensive usage of electronic services has become inevitable. Therefore, electronic services (e-services) have become very popular and one of the key determinants contributing toward e-business success. Consequently, it becomes essential to measure and evaluate customers' perceived E-Service Quality, which affects their purchase intention to buy online. Therefore, the current study examines the effect of customers' perceived E-SQ on their online purchase intention, as an extension of the Theory of Planned Behavior. The study included 449 samples of online buyers from Rajasthan state of India. To test reliability and validate the constructs of the measurement model, Confirmatory Factor Analysis was used using SPSS 24.0 and AMOS 24.0 software. Further, Structural Equation Modelling was used to validate and test empirically the causal relations between the constructs of the measurement model. The results revealed that judgments related to online websites have a strong positive relationship with the key features of E-SQ (e.g., reliability, responsiveness, personalisation, convenience, trust, ease of navigation, and ease of navigation). Further, in addition to this, results also indicate that Theory of Planned Behavior (TPB) can completely predict and explain the determinants of E-SQ, influencing customers' online purchase intention. Therefore, this study helps in providing scale measurement of online purchase websites to identify their E-SQ strengths and weaknesses, which can help them improve upon their weaknesses and try serving their customers better in the electronic marketplace.

We study some generalized integral operators for the classes ofp-valent functions with bounded radius and boundary rotation. Our work generalizes many previously known results. Many of our results are best possible.