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This paper aims to examine why people with disabilities (PWDs) are at risk due to climate change. It also discusses the linkage between climate change events and the mental health of the disabled population.

This paper follows a qualitative approach.

Climate change can affect the mental well-being of PWDs in several ways such as increased vulnerability, displacement-related trauma, social isolation, loss of independence, climate anxiety and eco-grief.

The paper has practical implications for policymakers. Because climate change has a disproportionate impact on PWDs, there is an urgent need to include them in climate action, both as beneficiaries and decision-makers.

The paper attempts to explore the measures that can be taken for prevention and mitigation of impacts on the mental health of PWDs.

This paper will try to uncover how e-learning is giving a new shape to the education industry. Also, it will encompass the students' perspective and experience of e-learning.

The present study employed interpretative phenomenological analysis (IPA) to intensely scrutinize the lived-in experiences of the participants. In the present study, the respondents were selected from Delhi NCR of India. Semi-structured interviews were conducted to collect the primary data to understand the student's perspectives on the impact of information and communications technology (ICT) in education industry.

The findings have been grouped under two sections referred to as “themes,” which include “drivers for e-learning adoption” and “inhibitors which restrict the adoption of e-learning.”

At present, India does not have a big market for e-learning, but there is huge potential in the country. The present study may be helpful for the educational institutions in India and in similar developing countries in understanding the students' perspectives on e-learning adoption. The educational institutions may improve their systems accordingly so that they can not only retain the students of their own countries but also attract students from other countries for further education.

E-learning can be employed to give users quick access to ideas and experiences from a wide range of people, communities, and the cultures to increase the tangibility.

The study will be useful to the policymakers in the higher education sector of developing nations like India, in understanding the students' mindsets. This study makes a contribution to the growing literature on e-learning, where the researchers have determined the relative importance of various motivating and inhibiting factors which influence the adoption of e-learning. Additionally, the study has used IPA as the methodology to determine the factors, which is a novel contribution.

Gender-stereotyped organizational expectations compromise outcomes desired from numerically balanced gender representation. Sex-roles allow both men and women to exhibit masculine or feminine behaviors based on their self-construal of “psychological-gender.” Emotional intelligence (EI) is considered “feminine” and rational intelligence “masculine.” So, using Bem sex-role inventory and Emotional Intelligence Appraisal, the current study explored EI in 217 senior Indian managers from masculine/feminine sex-role perspective. There was no difference in EI of men/women. Moreover, EI did not differ in men/women categorized in “same” sex-role. However significant differences emerged across sex-roles with feminine sex-role participants actually scoring significantly lesser than androgynous or masculine sex-role participants although emotional intelligence is considered as a feminine intelligence. Implications of sex-role-driven differences in EI in organizational context are discussed.

The purpose of this paper is to give an overview of artificial intelligence (AI) and other AI-enabled technologies and to describe how COVID-19 affects various industries such as health care, manufacturing, retail, food services, education, media and entertainment, banking and insurance, travel and tourism. Furthermore, the authors discuss the tactics in which information technology is used to implement business strategies to transform businesses and to incentivise the implementation of these technologies in current or future emergency situations.

The review provides the rapidly growing literature on the use of smart technology during the current COVID-19 pandemic.

The 127 empirical articles the authors have identified suggest that 39 forms of smart technologies have been used, ranging from artificial intelligence to computer vision technology. Eight different industries have been identified that are using these technologies, primarily food services and manufacturing. Further, the authors list 40 generalised types of activities that are involved including providing health services, data analysis and communication. To prevent the spread of illness, robots with artificial intelligence are being used to examine patients and give drugs to them. The online execution of teaching practices and simulators have replaced the classroom mode of teaching due to the epidemic. The AI-based Blue-dot algorithm aids in the detection of early warning indications. The AI model detects a patient in respiratory distress based on face detection, face recognition, facial action unit detection, expression recognition, posture, extremity movement analysis, visitation frequency detection, sound pressure detection and light level detection. The above and various other applications are listed throughout the paper.

Research is largely delimited to the area of COVID-19-related studies. Also, bias of selective assessment may be present. In Indian context, advanced technology is yet to be harnessed to its full extent. Also, educational system is yet to be upgraded to add these technologies potential benefits on wider basis.

First, leveraging of insights across various industry sectors to battle the global threat, and smart technology is one of the key takeaways in this field. Second, an integrated framework is recommended for policy making in this area. Lastly, the authors recommend that an internet-based repository should be developed, keeping all the ideas, databases, best practices, dashboard and real-time statistical data.

As the COVID-19 is a relatively recent phenomenon, such a comprehensive review does not exist in the extant literature to the best of the authors’ knowledge. The review is rapidly emerging literature on smart technology use during the current COVID-19 pandemic.

The case is intended to assist students to:1. understand the customer’s purchase decision with reference to channel values;2. evaluate and assess the channel strategy using conventional and digital channels; and3. design the channel strategy for start-ups in emerging markets.

The subject area for this teaching case was marketing management. The teaching case could be used for the undergraduation and graduation levels of students. The case was about the marketing channel strategy of a small start-up boutique called Chirmi in India, with the theory of consumption values explained. In this case, primary data was taken directly from Chirmi, whereas secondary data for market analysis was taken from various reports, articles and other sources. Because the owner provided the records and documentation, the account was therefore substantiated by the collected first-hand information. The case uses quantitative methods to make students understand the channel arithmetic and consumption values of all the channels used by Chirmi.

In the course of core marketing classes at the undergraduate and graduate levels, this case may be used. The case addresses the channel structure, including wholesaling, retailing and e-commerce. Distribution channel management, the theory of consumption values and e-commerce marketing management are explained. Evaluation of channel strategy, design, implementation and management is emphasized.

Teaching notes are available for educators only.

CSS: 8: Marketing.

Green human resource management (GHRM) is an arising issue for the tannery industry in the context of developing economies. As the tannery industry can be seen as one of the highest polluting industries on earth, it becomes imperative for the industry to implement GHRM practices for greening the workforce. In this context, the purpose of this paper is to focus on antecedents that will support the implementation of GHRM practices in the tannery industry supply chain.

In this study, an expanded literature review was organized to establish antecedents for implementing GHRM practices. The total interpretive structural modeling (TISM) technique is employed to explore interactions among the identified antecedents. Furthermore, Matriced Impact Croises Multiplication Applique analysis was conducted for determining the driving-dependence power of each antecedent.

The results revealed that “green selection facility,” “green recruiting facility,” “green organizational culture,” “green purchasing,” “green strategy towards ES,” “regulatory forces towards ES” and “top management commitment towards greening the workforce” are the key antecedents for the exercise of GHRM practices in the tannery industry.

The proposed model might support decision makers to understand the interactions among the antecedents of GHRM practices. This model will help managers to understand the impact of one antecedent on another prior to the implementation of GHRM practices in the tannery industry.

In this study, the author(s) propose a new version of the interpretive structural modeling approach (ISM), named the TISM technique, for determining the contextual interactions between GHRM initiative antecedents that are very new in the existing literature.