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Reducing greenhouse gas emissions from fossil fuel consumption is a big challenge on the view of global warming and climate changes caused by greenhouse gases as per recent scientific reports. This paper aims to identify the major challenges of green energy sources (GES) to the future power systems and suggests an appropriate GES based on the preference by the decision maker on the various issues to meet these challenges.

The proposed work presents a multi‐criteria decision analysis (MCDA) – the analytic hierarchy process (AHP) to evaluate the GES – photovoltaic (PV), wind generator (WG), biomass (BM) and micro‐hydel (MH) and to find the appropriate selection in general, by evaluating its main operational characteristic. In this research, the choices of the green energy alternatives on the basis of various factors have been taken into consideration. MATLAB simulation of different criteria to ascertain their clear‐cut effects on GES selection under multiple uncertainties are presented.

Related articles appearing in the recently published (1995‐2010) works, based on green energy scope and practical implementations, and earlier approaches in the field of energy are gathered and analyzed so that the following questions can be answered: Which evaluating criteria are paid more attention to? Which source is the best GES? Which is the most critical factor in the green energy selection. This research not only provides the application of MCDA to evaluate the operation of the GES – PV, WG, BM and MH but also aids the researchers and decision makers in applying the approaches effectively.

This is the first analysis in the green energy selection which considers future uncertainties of the GES. Instead of focusing only on cost factor, the proposed work considers main uncertainties of the GES. The best GES will be decided based on the preference of the criterion chosen by the end‐user.

The Fourth Industrial Revolution (4IR) holds the potential to significantly improve capabilities and performances for architectural, engineering, construction and operation and maintenance (AECO) companies in India. The top management of such companies seems unsure and reluctant to implementation of the 4IR applications. The objective of this research is to identify the 4IR technology applications, which would have a significant impact on the operation of the AECO companies in India. Moreover, the paper further attempts to give a conceptual roadmap for the implementation of these 4IR technologies in the AECO value chain.

The nascent level of research in 4IR in construction necessitated the adoption of mixed methodologies in research. Hypothesis testing has been carried out on the quantitative data to ascertain the potential of 4IR technologies, which could significantly impact the AECO companies. Subsequently, qualitative research has been used to explore the reasons impacting the technology adoption and generate a possible road map for the implementation of the significant 4IR technology applications.

The AECO value chain is challenged due to its complexity, uncertainty, fragmented supply chains, myopic thinking and a culture reluctant to change. The study provides insights into the dilemmas of practitioners in the Indian context while exploring possible approaches to carry out the transformation in AECO.

The study validation relied on the opinions, perspectives and recollections of respondents. The opinion of practicing professionals was limited to the Indian context.

The article may help leaders of AECO firms, industry associations, policymakers and academia to take steps in relevant directions to enable digital transformation.

Many types of research have already investigated the lean, green or agile manufacturing systems in a discrete manner or as combinations of two of them. In today’s competitive scenario, if industry wants to perpetuate its name in the market, then it has to supervene proper thinking and smart approach. Therefore, the combination of lean, green and agile manufacturing systems can provide better and beneficial results. The purpose of this paper is to discern the barriers to the combined lean green agile manufacturing system (LGAMS), understand their interdependence and develop a framework to enhance LGAMS by using total interpretive structural modeling (TISM) and MICMAC (Matriced’ Impacts Croise’s Multiplication Appliquée a UN Classement) Analysis.

This paper uses TISM methodology and MICMAC analysis to deduce the interrelationships between the barriers and rank them accordingly. A total of 13 barriers have been identified through extensive literature review and discussion with experts.

An integrated LGAMS has been presented that balances the lean, green and agile paradigms and can help supply chains become more efficient, streamlined and sustainable. Barriers are identified while referring to all three strategies to showcase the clear relevance. TISM models the barriers in different levels showcasing direct and important transitive relations. Further, MICMAC analysis distributes the barriers in four clusters in accordance with their driving and dependence power.

The inferences have been drawn from a model developed on the basis of inputs from a small fraction of the industry and academia and may show variations when considering the whole industry.

The outcome of this research can contribute to bringing the change to the manufacturing systems used in most developing nations. Also, top managers considering adoption of LGAMS can be cautious of the most influential barriers.

A TISM-based model of the barriers to an integrated LGAMS has been proposed with evaluation of the influence of the barriers.

The metaverse is a virtual world where users can communicate with each other in a computer-generated environment. The use of metaverse technology has the potential to revolutionize the way businesses operate, interact with customers, and collaborate with employees. However, several obstacles must be addressed and overcome to ensure the successful implementation of metaverse technology. This study aims to examine the implementation of metaverse technology in the management of an organization's supply chain, with a focus on predicting potential barriers to provide suitable strategies.

Covariance-based structural equation modeling (CB-SEM) was used to test the model. In addition, artificial neural network modeling (ANN) was also performed.

The CB-SEM results revealed that a firm's technological limitations are among the most significant barriers to implementing metaverse technology in the supply chain management (SCM). The ANN results further highlighted that the firm's technological limitations are the most crucial input factors, followed by a lack of governance and standardization, integration challenges, poor diffusion through the network, traditional organizational culture, lack of stakeholder commitment, lack of collaboration and low perception of value by customers.

Because metaverse technology has the potential to provide organizations with a competitive advantage, increase productivity, improve customer experience and stimulate creativity, it is crucial to discuss and develop solutions to implementation challenges in the business world. Companies can position themselves for success in this fascinating and quickly changing technological landscape by conquering these challenges.

This study provides insights to metaverse technology developers and supply chain practitioners for successful implementation in SCM, as well as theoretical contributions for supply chain managers aiming to implement such environments.

The purpose of this paper is to report on the prioritisation of different corporate social identities (CSIs) by the banking sectors in India to endorse the corporate branding process. To substantiate the effect of corporate social responsibility (CSR) on banks’ profitability, the paper establishes a causal relationship between CSI scores and banks’ profitability. The study defines the CSI scores as measures of different CSR initiatives available on the websites and annual reports of leading public and private schedule commercial banks in India.

The study discusses the key role that CSR plays in building the corporate personality of a firm, which is a key ingredient of a corporate brand. Therefore, the main dimensions and sub-dimensions of CSR are analysed by using content analysis method. The data undergo multiple experiments such as “Percentage of Agreement”, “Scott’s π”, “Cohen’s κ”, and “Krippendorff’s α” to check the validity and the inter-coder reliability of the content. Furthermore, the quartile approach of statistical data analysis, weighted average method of prioritisation and simple linear regression methods are used to examine and discuss the study objectives.

There were three major outcomes from this study. First, Indian banks institutionalise their credibility of corporate personality by maintaining the CSR principles and goals as the core elements of their corporate statements. Second, the CSI scores of different CSR initiatives indicate variations in the stakeholder prioritisation among different banks. The result shows that the public sector banks give the highest priority to the community-related CSR initiatives followed by environment and customer among others, whereas the private sector banks emphasise on customers as their top priority followed by environment and community. The overall score depicts the environment-related initiatives to be the highest priority, which follows customer, employees, community and suppliers. Third, the research indicates that the relationship between CSI disclosures and profitability is significant in India.

The social aspect of building corporate identity will help in the decision-making process for developing a strong social image through their websites. However, the results suggest that the banking sector should adopt a global standard of CSR reporting and strategic positioning of the social identities among the stakeholders in the value chain. The results are limited to only the Indian banking sector and can be validated and applied to other industries and cross-cultural contexts.

This study is one of the pioneering attempts to focus on the role of CSR in the stakeholder-company relationship through the mean-end approach in the development of CSI.

We show how to use a smoothed empirical likelihood approach to conduct efficient semiparametric inference in models characterized as conditional moment equalities when data are collected by variable probability sampling. Results from a simulation experiment suggest that the smoothed empirical likelihood based estimator can estimate the model parameters very well in small to moderately sized stratified samples.

The aim of this paper is to examine hotel frontline employees' perceptions of corporate social responsibility (CSR) activities at the hotel they currently work, and how their perceptions influence their level of organizational identification, an indicator of their relationship quality with the hotel.

This study uses 575 responses of hotel frontline employees in the US, collected through a national online survey.

Results show that hotel employees' perceptions of CSR activities encompass the host community, colleagues, and customers, beyond green practices. Moreover, their perceptions of CSR activities positively and significantly influence the level of organizational identification.

The results of this exploratory study should not be generalized to all frontline employees in the US hotel industry. Future studies should extend this study to examine potential relationships among other variables relevant to organizational identification, and in other hospitality industry contexts. Also, this study does not seek to question the merits of CSR per se, as it takes a managerial perspective to assist hoteliers' understanding of and decision-making on CSR.

As CSR activities often represent company values and norms, frontline employees' perceptions of them can influence how they identify with the company, which is an impetus for their attitudinal and behavioral support to help achieve the company's goals. Accordingly, CSR activities can be a critical tool in engaging frontline employees to achieve better performance and derive more meaning in their careers, and in attracting good quality employees.

This study is a first attempt to empirically examine how CSR activities can benefit hotel employees, based on various literatures on service-profit-chain, CSR, and social identity theory.

The funding of defined-benefit plans has garnered the attention of academicians, practitioners, and policymakers. Drawing upon agency and organizational control theories, this study investigates the implications of board independence on changes in defined-benefit funding. Using a panel dataset of S&P 500 companies sponsoring defined-benefit plans, the author finds that corporate boards matter. Specifically, CEO duality and outside director representation are associated with year-to-year decreases in defined-benefit funding. Conversely, outside director ownership is related to year-to-year increases in defined-benefit funding. Furthermore, outside director ownership moderated the relationship between outside director representation and defined-benefit funding such that outside director representation is associated with year-to-year increases in defined-benefit plan funding when the percentage of outside director ownership is high.

Urban flooding in developing countries of the Global South is growing due to extreme rainfall and sea-level rise induced by climate change, as well as the proliferation of impervious, built-up areas resulting from unplanned urbanisation and development. Continuous loss of traditional knowledge related to local water management practices, and the de-valuing of such knowledge that goes hand-in-hand with globalised aspirations, is inhibiting flood resilience efforts. This paper aims to address the need to include traditional water knowledge (TWK) in urban living and development processes in the Global South.

This paper commences with a review of existing frameworks that focus on natural resource management, critically assessing two existing frameworks of traditional ecological knowledge (TEK). The assessment of the existing approaches contributes to this paper’s development of a novel framework to promote TWK with regard to resilience and risk reduction, specifically for developing flood adaptive strategies, which is the second stage of this paper. Finally, the paper explains how the framework can contribute to the field of urban design and planning using examples from the literature to demonstrate challenges and opportunities related to the adaptation of such a framework.

The framework developed in this paper reveals three proposed vertices of TWK, named as place-based landscape knowledge, water use and management and water values. This framework has the potential to produce context-specific knowledge that can contribute to flood-resilient built-environment through urban design and practices.

The framework developed in this paper reveals three proposed vertices of TWK, named place-based landscape knowledge, water use and management and water values. This framework has the potential to produce context-specific knowledge that can contribute to flood-resilient built-environment through urban design and practices.

Within the field of TEK research, very few researchers have explored the field of developing flood resilience in an urban context. The proposed TWK framework presented in this paper will help to fill that gap.