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This study aimed to examine consumers’ impulse purchases of luxury products in the metaverse, specifically by exploring how consumers’ motivational and emotional experiences affect virtual luxury product purchases in the metaverse.

An online survey was administered to a total of 230 users of various metaverse platforms in China. The data were analysed using partial least squares structural equation modelling (PLS-SEM) disjoint two-stage approach.

The findings indicated that motivational experience (goal importance and goal interest) and positive emotion (fantasy, feeling and fun) have positive effects on impulse buying of luxury products in the metaverse, but none for negative emotions (loneliness and isolation).

This study indicated that understanding and leveraging consumers’ motivational experiences and positive emotions can drive their impulse buying behaviour of luxury products in the metaverse, hence providing virtual and brand retailers with a testbed for their products before they launch in the physical market.

This study enriches our comprehension of consumers’ metaverse luxury purchases by delving into the impacts of motivational and emotional experiences on impulse buying behaviours.

This study aims to investigate the impact of artificial intelligence (AI) on customer loyalty in the luxury fashion market. It explores how AI-driven tools influence customer trust, satisfaction, commitment and engagement, which in turn affect loyalty. By examining these relationships, the study provides insights into the acceptance and effectiveness of AI technologies in enhancing customer loyalty within the luxury fashion sector.

This study employs structural equation modelling (SEM) to analyse data collected from 406 luxury consumers in Iran. The data was gathered using a targeted sampling procedure, leveraging DigiKala’s e-commerce platform. A comprehensive literature review informed the measurement items, and a seven-point Likert scale was used. The methodology includes confirmatory factor analysis (CFA) to assess the reliability and validity of the constructs, followed by hypothesis testing through SEM.

The study reveals that AI significantly enhances customer loyalty in the luxury fashion market by positively influencing trust, satisfaction, commitment and engagement. Satisfaction and engagement were found to be key mediators between AI and loyalty, while trust had no direct impact on loyalty. The results underscore the importance of AI-driven personalized experiences in fostering stronger customer relationships and loyalty.

This study is one of the first to explore the impact of AI on customer loyalty in the luxury fashion market, using a comprehensive model that includes trust, satisfaction, commitment and engagement as mediators. It extends the stimulus-organism-response (SOR) and technology acceptance model (TAM) frameworks, offering valuable insights for luxury brands on how AI can be leveraged to enhance customer relationships and loyalty.

This chapter draws from bibliometric data and secondary sources to explore the interrelation between sustainable development and organic agricultural practices. The study contends that the adoption of organic farming methods holds the potential to address multiple Sustainable Development Goals (SDGs), thereby contributing to the well-being of all living organisms. The analysis of current trends in organic agriculture research has revealed prevalent themes pursued by academics. Notably, themes such as biotechnology, biodegradation, soil conversion, soil restoration, environmental sustainability, health, alternative agriculture and community development emerge as significant and burgeoning areas of study within the field. Additionally, other themes have come to the forefront in the findings, including agricultural emissions, cultivation practices, environmental regulations, erosion control, agricultural policy and sustainable agriculture. These themes present vital areas for further investigation and exploration, indicating areas where more research is warranted. This qualitative piece through content analysis provides a deep insight on the fact that organic farming in relation to sustainability is a very under researched area. Researchers and practitioners can explore this area as a tool to achieve the goals of sustainability in diverse dimensions. The study suggests some under-researched areas as future research agendas which include supply chain and distribution management, market development and consumer behaviour in relation to organic farming, investigating and creating novel commercial strategies for organic farming, financial and investment mechanisms in the field of organic farming, technological developments in organic agriculture, analysing rules and regulations to see how they affect the development and sustainability of organic farming and social impact and stakeholder engagement for organic farming as tool to promote sustainability.

The continuous evolution of the UAE necessitates adapting to the dynamic nature of facilities management (FM) and construction sectors. Therefore, this study explores the current asset maintenance management (AMM) practices and FM teams' roles in the early stages of planning.

Twenty semi-structured interviews with 13 FM experts and 7 construction professionals (consultants, managers, directors, engineers) in the UAE were conducted. Data were analyzed thematically and validated by the triangulation method.

The study unveiled a disconnection between the FM and construction sectors in the UAE, unlike the global markets. Interviewees highlighted several areas that could benefit from improved collaboration between these sectors, including data transfer, space planning, design review, sustainability practices and energy savings, maintainability, defects liability period (DLP) and lifecycle cost (LCC) and budget estimation and feasibility. Additionally, the most frequently reported barriers to the collaborative approach were the immaturity of FM in comparison to the construction sector (60%) and the lack of awareness of technology (50%). Raising awareness on the importance of early FM involvement was voted the most as a solution to the barriers identified (70%). Interviewees further emphasized the crucial role of building information modeling (BIM) in fostering this collaboration.

The study’s originality lies in its focus on the UAE’s regional context and the use of qualitative insights from experts to understand the nuanced interactions between FM and construction, providing an in-depth analysis of local collaborative practices.

The Indonesian Waqf Board and United Nation Development Program are developing green waqf in Indonesia. Development of green waqf in Indonesia as a response to save the earth from environmental damage and other social impacts. This paper aims to measure public perceptions about willingness to participate in making donations to the green waqf program in Indonesia.

Modifying the Theory of Reasoned Action framework, questionnaire data were collected from 311 Muslims in Indonesia. Data were analyzed using the partial least squares structural equation modeling method.

The findings show that attitude, subjective norm, product knowledge and trust influence the Muslims in Indonesia to donate to green waqf. In contrast, Islamic religiosity harms the intention to donate in green waqf but is insignificant.

This research was conducted using a quantitative approach with a limited sample of several communities, so the results cannot be generalized. Further investigation needs to be carried out by involving a more diverse sample to get better results. However, the results of this study can be used as an illustration of how Muslims behave in donating green waqf.

These results imply that to develop green waqf in Indonesia, especially in attracting waqf candidates willing to make donations, waqf institutions must carry out engineering to shape the attitude of prospective donors through various activities such as socialization and education of the green waqf program. Waqf institutions must also build public trust by involving public figures to campaign for the green waqf program. This will likely increase prospective donors’ active participation in donating their money to develop green waqf in Indonesia.

Waqf is a severe concern for the Indonesian Government, including waqf for the environment. To the bets of the authors’ knowledge, this paper is the first attempt to look at the behavior of the green waqf model in Indonesia. Thus, the acceleration of waqf development can be realized and is expected to impact the community significantly.

This study aims to explore the impact of mobile learning on educating Iranian adult neo-literates within courses held by Iranian Literacy Movement Organization.

A concurrent mixed-methods design was used to investigate to what extent the adult neo-literates in Shiraz, Iran, were ready to use mobile phones in their courses. The qualitative section involved merging and summarizing basic themes into organizing themes. The themes were then integrated to create a single global theme.

The results showed that the participants were ready to embrace m-learning. Instrumentality was the most influential factor contributing to neo-literates’ readiness for m-learning. Findings also showed that from learners’ standpoint, mobile phones presented some unique features, enabling them to integrate elements from both distance and face-to-face courses. They also believed that mobile phones or other information and communications technology gadgets provided better opportunities for learning, although they fall short of fully replacing human instructors.

The limitations of the study were the participants’ limited familiarity with the research procedure and the impossibility of holding joint gatherings at specific locations.

This applied study helps the literacy movement to take strong steps toward creating an educational environment that guarantees learning anytime and anywhere for its learners.

The purpose of this study is to determine the enablers of the quality of work life (QWL) of employees working in the Garment industries.

The study was carried out in a fivefold step. In the first step, the enablers of QWL were identified through an exhaustive literature survey, in the second step identified vital few components through Pareto analysis. Then the third step was followed by exploratory factor analysis (EFA) to further, to identify the precise components and validate the same using confirmatory factor analysis in fourth step. The final step included interpretive structural modeling and Cross-Impact Matrix Multiplication Applied to Classification analysis to model the validated components and determine the interrelationships and linkages.

Predominant QWL enablers of employees working in the garment industries are training and development, satisfaction in job, compensation and rewards, relation and co-operation, grievance handling, work environment, job nature, job security and facilities.

In this study, the interpretive structural model is designed based on the opinion of the experts who are working in the garment industry considering the responses from employees in garment sectors. The framework can be extended further to the other sectors.

In future, the researchers in QWL may develop a model to quantify the level of employees’ QWL who are working in different sectors. Enablers of QWL are essential, and based on this further statistical analysis can be carried out. This study will provide limelight to the researchers in choosing the valid and reliable set of enablers for the empirical studies. Organizations can get benefit by implementing the outcome of this research for the enhancement of the QWL of employees.

The study was carried out in 133 garment industries where 851 workers constituted the final valid responses that were considered for analysis. The outcomes from the study help administrators, policy and decision-takers in taking decisions to enhance QWL.

The purpose of this paper is to investigate the vulnerability of smallholder farmers to climate change in northwest Ethiopia.

To achieve this aim, data was collected from a survey of 352 households, which were stratified into three groups: Lay Gayint (138 or 39%), Tach Gayint (117 or 33%) and Simada district (97 or 28%). To gain a deeper understanding of the vulnerability of these households, two approaches were used: the livelihood vulnerability index (LVI), consisting of 32 indicators, and the socioeconomic vulnerability index (SeVI), containing 31 indicators. Furthermore, qualitative data was obtained through focus group discussions conducted in six randomly chosen groups from the three districts, which were used to supplement the findings.

Both methods indicate that Simada is the most vulnerable district, followed by Tach Gayint and Lay Gayint. According to the SeVI approach, Simada district showed the highest level of sensitivity and exposure to climate-related hazards, as well as the lowest score for adaptive capacity. However, using the LVI approach, Simada district was found to have the highest sensitivity to climate effects and exposure to climate-related hazards, along with a higher adaptive capacity than both Lay Gayint and Tach Gayint districts.

Although there are numerous studies available on the vulnerability of farmers to climate change, this particular study stands out by using and contrasting two approaches – the LVI and the SeVI – to assess the vulnerability of households in the study area. Previous research has indicated that no single approach is sufficient to evaluate climate change vulnerability, as each approach has its own strengths and limitations. The findings of this study have significant implications for policymakers and development practitioners, as they can use the results to identify the households that are most vulnerable to climate change. This will enable them to design adaptation options that are tailored to the specific needs of each community and that will effectively address the risks of current and future climate change.

The purpose of this paper is to develop the theory of environmentally responsible behavior by extending the theory of planned behavior to empirically examine waste reduction behaviors among young coastal tourists in Bangladesh.

Through review of literature, in-depth interviews and survey, the study is conducted. Initial survey collects 355 data, which is used for exploratory factor analysis to develop constructs and its measurement items. After preparing the formal survey questionnaires, another survey is conducted and collected 403 usable responses. The subsequent valid responses are used for confirmatory factor analysis through structural equation modeling, using Smart PLS 3.3.3.

The results of this study reveal that waste reduction behavior is significantly affected by waste reduction intention, and then subsequently waste reduction intention is significantly affected by environmental concern, climate change concern and healthy environmental norms of young coastal tourists in Bangladesh.

The findings of the study will benefit industry operators and policymakers by understanding the factors that are crucial for influencing young costal tourists’ environmentally responsible behaviors (i.e. waste reduction behaviors). Eventually, the findings may assist industry operators and policymakers to develop strategies to attract more young tourists to the coastal tourist destinations in Bangladesh.

The importance of environmentally responsible behavior has received a significant attention in present decade. Consistent with this phenomenon, this study uniquely develops the theory of environmentally responsible behavior and establishes the link between environmental concern, climate change concern, healthy environmental norms, waste reduction intention and waste reduction behavior in coastal tourism domain in Bangladesh.

Over the past decade, achieving sustainability in the transport sector has become a significant concern for governments and stakeholders. In this context, this study aims to comprehensively analyse the existing literature to document contributions and methodological deficiencies and pave the way for future research.

The authors used thematic, bibliometric and methodological systematic reviews of 39 articles across 30 sources from 112 authors between 2005 and 2023.

Using the Biblioshiny, the bibliometric analysis unveils the top prolific authors, contributing sources, most productive countries, top-cited papers and evolving keywords in advancing transport sustainability literature streams. The analyses revealed two strands of literature (those from the composite perspective and the triple-bottom-line perspective). The authors further consolidated indicators to measure the three pillars of transport sustainability comprehensively.

This paper uses a holistic approach to provide a state-of-the-art understanding of transport sustainability useful for the net zero or sustainable transport agenda. This paper is among the few attempts to consolidate indicators to measure transport sustainability from the triple bottom line perspective, whilst also offering exciting directions for future studies and inspiring hope for a more sustainable transport sector.