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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.

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.

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.

This study aims to evaluate and compare the occurrence of sweet craving and eating practices related to the consumption of sweets among undergraduate students of health courses in Brazil and Spain, as well as associated factors.

Sociodemographic data, presence of sweet craving and characterization of practices related to the consumption of sweets were assessed.

The prevalence of sweet craving was higher among Brazilian students (46.6% vs. 32.9%, p = 0.020). The percentage of students who reported they could not resist the sweet cravings (p < 0.001); consumed sweets to feel better (p < 0.001); ate increasingly higher quantities of sweets (p < 0.001); and consumed more sweets than intended (p < 0.001), was also higher among Brazilian ones. Gender, age and college major were not associated with sweet craving. However, the fact that students were Brazilian was independently associated with consuming sweets to feel better [odds ratio (OR): 4.02; 95% confidence interval (CI95%): 2.39–6.77], eating increasingly higher quantities of sweets (OR: 5.79; CI95%: 2.86–11.71) and always eating more than intended (OR: 3.33; CI95%: 2.03–5.46). Body mass index (BMI) was independently associated with sweet craving in both countries (OR: 1.09; CI95%: 1.03–1.16). The results of the present research show that cultural elements are interwoven with craving and eating practices related to sweets.

The manuscript investigated the occurrence of sweets cravings and eating habits related to the consumption of sweets among university students of health courses in Brazil and Spain, as well as the associated factors. The results highlight the influence of cultural elements on eating practices related to sweets. The research is relevant to the journal Nutrition and Food Science for its contribution to understanding cultural differences in food choices and their impact on health, which can inform strategies to promote healthy eating habits in different contexts.