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In recent years, researchers and practitioners have paid a great deal of attention to the circular economy (CE) due to its potential social and environmental benefits. However, limited attention has been devoted in the literature to studying the barriers to CE implementation in the apparel retail industry in emerging and developing nations besides China. Consequently, the purpose of this paper is to analyse the barriers to implementing CE in the Indian garment retail market.

This exploratory study uses a comprehensive literature analysis to identify the micro-level impediments to CE adoption in India's garment retail industry. The study aims to identify these barriers using a Delphi process, consisting of three stages. The first stage involves literature reviews and expert opinions, while the second and third stages involve survey methods with 14 industry professionals and academics. The use of the two primary data sources allows for triangulation of the data, which improves the validity of the findings and enables broader conclusions to be drawn from the results.

This study indicates that the top three challenges to implementing CE principles in the Indian apparel retail industry are “standards and regulation barriers” (84%), “strategic barriers” (82%) and “supply chain management and technology barriers” (79%). Strategies for overcoming these obstacles include gaining top management support, coordinating supply chain components, training and employee motivation.

This study considers only Indian apparel retail industry, and the practical implications could potentially limit the study to emerging Asian economies.

To the best of the authors’ knowledge, this is the first research of its type to explore CE obstacles at the organizational level in the Indian garment retail business. Thus, it contributes to a greater understanding of the topic and enables practitioners to develop effective policies and business strategies for CE and sustainability.

One of the most well-known, seminal models in the tourism field is the one proposed 50 years ago by Stanley C. Plog. His venturesomeness model has been widely cited in journal articles, textbooks, and has also been used as a reference for planning and designing tourism marketing projects. However, empirical research using Plog's psychographics has yielded varied results, some of which have corroborated his model, while others have found partial or no support for some postulates. Therefore, the purpose of this chapter is to offer an exhaustive review of 47 studies in the literature which have employed Plog's venturesomeness concept to examine travelers' personality traits, attitudes, and behavior, synthetizing empirical findings and drawing conclusions from the cumulative results. A discussion of the model's contribution to the current body of knowledge, managerial implications for tourism practitioners, and directions for future research are presented.

This paper aims to explore the important role boundaries play in back-office framing of environmental engagement. This is of particular interest because it is not clear how organizations in an industry without standardized environmental reporting navigate their boundaries behind the scenes and why they engage with the environment the way they do. This element of their environmental identity offers important insights into the emergence of sustainability reporting.

Guided by Miles and Ringham (2019) the authors conduct an ethnography of the Montana ski industry. The ethnography includes extensive on-site observations at nine Montana ski areas and interviews with 16 ski area executives, two regulators and a land development executive.

The authors find three key boundaries – accountability structure, degree of regulatory burden and impact measurement approach – that shape the back-office economic and environmental framing of ski executives (Goffman, 1959, 1974). From these back-office frames the authors identify four front-office cultural performances – community ecosystem, quantitative ownership, approval seeking and advocacy platform – that represent the environmental engagement strategies at these resorts.

Understanding the relationships between boundaries and environmental engagement is an important step in developing appropriate industry-wide environmental accountability and sustainability expectations. The study’s findings extend to other industries that are both highly dependent on the environment and are in the early stages of developing environmental reporting standards.

Ski resorts operate in an industry that is impacted by changes in the natural environment. The authors chronicle the process by which boundaries lead to framing which leads to environmental engagement in this weather-dependent industry. The authors explain the process of environmental identity building, the result of which both precedes environmental reporting and puts such reporting into context. In this sense, the authors show how boundaries are set and maintained in the ski resort industry, and how fundamental these boundaries are to the development of individual companies' environmental engagement strategies.

Artificial intelligence (AI) is experiencing growth and prosperity worldwide because of its convenience and other benefits. However, AI faces challenges related to consumer resistance. Thus, drawing on the user resistance theory, this study explores factors that influence consumers’ resistance to AI and suggests ways to mitigate this negative influence.

This study tested four hypotheses across four studies by conducting lab experiments. Study 1 used a questionnaire to verify the hypothesis that AI’s “substitute” image leads to consumer resistance to AI; Study 2 focused on the role of perceived threat as an underlying driver of resistance to AI. Studies 3–4 provided process evidence by the way of a measured moderator, testing whether AI with servant communication style and literal language style is resisted less.

This study showed that AI’s “substitute” image increased users' resistance to AI. This occurs because the substitute image increases consumers’ perceived threat. The study also found that using servant communication and literal language styles in the interaction between AI and consumers can mitigate the negative effects of AI-substituted images.

This study reveals the mechanism of action between AI image and consumers’ resistance and sheds light on how to choose appropriate image and expression styles for AI products, which is important for lowering consumer resistance to AI.

This study aims to examine the impact of social advertising (informative, entertainment, credibility, ease of use, privacy and contents) on the buying behavior of Muslim consumers toward the fashion clothing brands during the Holy Month of Ramadan along with the moderating role of brand image. Precisely, it focuses on the marketing techniques and strategies in social advertising to enhance buying behavior.

Using the convenience sampling technique, data was collected from 304 Muslim consumers during the Holy Month of Ramadan. Questionnaires were self-administered, and data was analyzed via Smart partial least square structural equation modeling.

Social advertising (informative, entertainment, credibility, privacy, ease of use, contents) and brand image have a positive relationship with the buying behavior of Muslim consumers toward the fashion clothing brands during the Holy Month of Ramadan, while the brand image has nonmoderating effects. Furthermore, social advertising has a positive and significant relationship with the brand image.

This study is only limited to fashion clothing brands in the Malaysian Muslim community and is based only on the few dimensions of the theory of reasoned action and technology acceptance model (TAM).

Results clarified the impact of social advertising and brand image on the buying behavior of Muslim consumers toward the fashion clothing brands during the Holy Month of Ramadan and the moderating role of brand image in achieving the business objectives.

This study has evaluated the effects of social advertising and brand image in enhancing the buying behavior of Muslim consumers during the Holy Month of Ramadan toward the fashion clothing brands along with the moderating role of brand image based on the theory of reasoned action and TAM model. Precisely, this study examined the unique characteristics of social advertising and the relative importance of informative, entertainment, credibility, ease of use, privacy and content in enhancing the buying behavior of Muslim consumers during the Holy Month of Ramadan, where consumers are emotionally involved in buying fashion clothing brands due to Eid al Fitr celebration.

This study aims to identify the impact of commercial issues (CIs), financial issues (FIs) and corporate affairs (CAs) on operational excellence (OE) of the mining industry.

A purposive sample of size 321 was collected from Indian mining executives with more than ten years of exposure to the mining field. Factors are identified and confirmed with the use of confirmatory factor analysis. The structural equation modeling technique was then applied to understand the unique as well as the complex relationships between FI, CI, CA and OE.

The results indicate that all three issues, CI, FI and CA, have an influence on OE in the Indian mining industry. Among the variables of the issues considered in this study, marketing products and size and quality of products (from CI); scale of economies (from FI); risk management (from CA); and transportation and machine operation (from OE) are the highest influencing variables.

This study has its limitations in sampling, the timing of sample collection and their mode. The samples were collected from only massively deposited large mines.

Business managers of the mining industry will be more vigilant and aware of those indirect variables such as marketing products, size and quality of products, scale of economies and risk management, which can influence OE apart from major influencing variables such as transportation and machine operations and production scheduling.

To the best of the authors’ knowledge, this is the first study in the mining industry to evaluate the impact of these three issues on OE. The originality of this research lies in testing the CI, FI and CA of the mining industry with OE, which is completely new to this field.