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This study aims to examine the understudied topic of Islamic entrepreneurship by adapting the framework of waqf-based entrepreneurship to identify the crucial factors driving waqf-based entrepreneurs’ motivation.

A partial least squares structural equation model was used to validate the hypotheses, and in-depth interviews were conducted to gain deeper insights into the findings.

The key findings revealed that self-commitment, entrepreneurial skills and family support exert a significant and positive influence on waqfpreneurs’ motivation to engage in waqf-based entrepreneurship, with self-commitment playing a mediating role between self-actualisation and waqfpreneurial motivation. Additionally, the study proposes categorisations of waqfpreneurs based on the volume of waqf funds managed; their capacity to execute waqf-based entrepreneurship; and institutional performance metrics.

The limited sample size restricts the generalisability of the study. Future research should use a larger sample to generate more broadly applicable results. In addition, the methodology can be replicated in other countries to identify new factors influencing waqfpreneurs’ motivation or to uncover aspects not explored in this research. Future studies could also use qualitative methodologies such as grounded theory, ethnography or case studies. This would allow for a deeper exploration of motivational factors not yet captured, directly from the lived experiences of waqfpreneurs/nazhirs.

The study provides evidence of the key factors that influence waqf-based entrepreneurship, contributing to the literature on entrepreneurship and waqf. It also offers valuable insights for the government and other stakeholders into strategies to motivate waqf-based entrepreneurs, ultimately fostering the development of waqf assets, value creation and sustainable waqf benefit distribution.

The study aims to address the lack of research on Islamic entrepreneurship by specifically modifying the framework of waqf-based entrepreneurship to investigate the key factors that influence individuals’ motivation to conduct waqf-based entrepreneurship and management activities.

Green sukuk (GS) is an emerging financial tool that has gained momentum in recent years owing to increased attention being given to Islamic finance, socially responsible investing (SRI) and sustainability agendas. Yet, GS studies are fragmented, dispersed and lack comprehensive reviews. As a response to this gap in academia, this paper aims to synthesize the knowledge on GS into thematic clusters, providing a more comprehensive understanding of the subject and offering guidelines for future research.

This study implemented a systematic literature review approach to analyse studies on GS that were published prior to and including June 2023. The PRISMA 2020 protocol was used in the sample selection process. A total of 62 peer-reviewed journal articles from six databases were identified and categorized into various themes.

The results suggest that previous research has predominantly focused on the areas of GS advantages, drivers, market development and potential sectors, along with challenges and recommendations to improve the market. However, it was found that some other aspects, including GS pricing, performance and purchasing intention, require further research attention. The analysis also indicated that the use of theories in the GS context was limited, with only five theories employed in just four out of the 62 articles examined. Moreover, this paper’s findings revealed that the studies employing quantitative and empirical analysis methods were limited to four articles. Geographically, most of the studies were conducted in Indonesia and Malaysia, while other countries with high-potential markets (e.g. GCC) had limited GS practices and studies.

The results of this study have several practical implications. For investors, a review of GS will provide greater insight into the understanding of the GS market, helping them make better investment decisions. For policymakers, this paper empowers them with the knowledge to make informed decisions regarding GS markets by highlighting key recommendations identified in the literature. Finally, the proposed guidelines can be used in future research.

While Green Bonds have received significant attention, there is a dearth of research on GS and those that exist are fragmented. A systematic literature review is necessary to identify knowledge gaps for future research.

This study aims to investigate the impact of service quality (SQ), perceived value (PV) and consumer satisfaction on Thai street food, with customer satisfaction (CS) as a mediator for customer loyalty and repurchase intention (RI). It also explores how consumer trust (CT) in Thai street food safety moderates these relationships.

Structural equation modelling (SEM) was utilised to analyse the complex interrelationships between various constructs. Multi-group analyses were conducted to investigate the moderating effects of CT on the structural model, considering two distinct groups based on trust levels: low and high.

The findings revealed that SQ and PV significantly influenced CS and behavioural intention, while the perceived quality of Thai street food had no significant impact on post-COVID-19 consumer satisfaction. The study highlighted the critical role of CT in moderating the relationships between SQ, PV and CS, with distinct effects observed in groups with varying trust levels.

The research emphasises the importance of enhancing SQ and delivering value to customers in the context of Thai street food, which can contribute to increased CS, RI and positive word-of-mouth. Furthermore, the study underscores the critical role of building CT in fostering enduring customer relationships and promoting consumer satisfaction and loyalty.

This research offers valuable insights into consumer behaviour and decision-making processes, particularly within the realm of Thai street food. It underscores the significance of understanding and nurturing CT, especially in the post-COVID-19 landscape, emphasising the need for effective business strategies and consumer engagement.

This research aims to address the need for a more in-depth empirical investigation of exploring the link between the adoption of corporate citizenship (CC) practices and different aspects of customer behavior in a developing country. Also, it develops a research framework and assesses the mediating role of brand image, brand love, brand reputation and brand trust between customer perceptions of CC and customer loyalty.

Working with a sample of 290 private bank customers in Iran, partial least square-based structural equation modeling is used to test the conceptual model.

The findings reveal significant and positive relationships between CC, brand image, love and reputation. Indirectly and in the relationship between CC and customer loyalty, there are significant relationships through the serial roles of image-reputation, image-love and image-trust. Most importantly, the findings add value to the current knowledge by exploring the mediating effect of brand image, love, reputation and trust between CC and customer loyalty. Finally, this study has resulted in an updated prediction model of private banking customer loyalty.

This study makes a unique theoretical contribution to the literature by evaluating and comparing the mediating role of image, love, reputation and brand trust between CC and customer loyalty using the hierarchy of effects model.

This study combines the TAM and UGT frameworks to investigate how Vietnamese students' views of ChatGPT and intrinsic needs affect their intentions to use it for education (via variables including perceived ease of use, perceived usefulness, novelty, information seeking and academic content creation). We will employ TAM theory (Davis, 1989) and UGT theory to elucidate university students' motivations for utilising ChatGPT in Vietnam. Simultaneously, we aim to address the limitation stemming from data uniformity. Our research will make a substantial contribution to the understanding of researchers regarding the use of ChatGPT and its varied consequences as it grows and develops.

This study was conducted at a private university in Vietnam with an estimated population of 15,000 students. One of Vietnam’s top private information technology institutions requires its students to use a variety of information and communication technologies (ICTs) on a regular basis to facilitate and enjoy their academic pursuits (Ngo, 2024; Nguyen). Students who are familiar with ChatGPT and have access to it for educational purposes are the ones that were chosen. This research is a quantitative study that utilises primary data through a survey method. Participants answered a questionnaire online through the Google Form platform sharing via social media platforms from October to December 2023. The questionnaire was divided into two sections: the first contained screening questions and demographic information and the second had five-point Likert-scale questions that measured the study’s components. Two screening questions are used to separate out the intended responders. (i.e. “I have heard the name ChatGPT” and “I know about ChatGPT”) were set to find whether the participants had any knowledge of ChatGPT. If participants were unaware of ChatGPT, their responses were not included in the study. A total of 283 responses were received. The participant’s demographic information is shown in Table 1. It is believed that a sample size of more than 200 provides adequate statistical power for data analysis in structural equation modelling. It is evident that the 283-sample size in this study is adequate to evaluate the research hypothesis and the fitting model. 42.9% of the 283 research samples were made up of men, while 57.1% were women. Business administration accounted for 40.1% of survey respondents, followed by information technology (25.2%) and English language (14.5%). The average ChatGPT usage time of respondents was 56 min in a single use. The study sample’s average age is 20–72 years old.

The present study contributes to the existing AI chatbot literature in the educational industry in several ways. First, this study addresses a gap in the literature by investigating the factors that influence students’ ITU ChatGPT for educational purposes in Vietnam. Using the extended model, we investigated factors influencing students’ intentions to use ChatGPT. It integrates three motive factors of the UGT (ACT, IS and N) with the core factors of TAM (PeoU and PU). The integrated framework’s findings indicate that in a Vietnamese educational setting, ChatGPT is a novel technology that should be considered in conjunction with PU and PEoU.

First, only Vietnamese students make up the research sample. To increase the relevance of the findings, it is advised that future research look at the study model in various geographic regions. Second, the present investigation’s constraints arise from the lack of clarity about the Chat GPT version utilised by the respondents, specifically whether it was the free or premium edition. Furthermore, the limited duration of the survey presents an obstacle to gathering thorough data. Due to their reliance on the particular features and functionalities of the Chat GPT version used, these restrictions may have an effect on the researcher’s objectivity. Furthermore, the limited survey time may curtail the coverage of the collected answers, particularly considering that our survey predominantly focuses on business administration students, thus limiting the diversity and richness of the gathered data. We recommend that future studies should conduct comparative research between different versions of GPT Chat, including free and paid variants that can provide valuable insights into potential differences in performance and results. Such analysis can provide a deeper understanding of the strengths and limitations of different GPT Chat versions. Third, because the study focused on behavioural intention, actual usage and post-usage behaviour may not be covered by the findings. To gain a deeper understanding of users' actual behaviour, we suggest doing research on their usage and post-usage behaviours.

The findings will assist service providers and legislators in determining critical variables and influencing students' incentives to use ChatGPT in educational settings that use constructivist teaching methods. As a result, the information will assist service providers in creating AI chatbots that are more user-friendly, visually appealing, efficient, safe and convenient for education. Governments, in conjunction with service providers, have the potential to significantly accelerate the adoption of AI-based chatbots by highlighting their ethical and sustainable use. The findings demonstrate that students' ITU towards ChatGPT is substantially impacted by PU and PEoU. It is recommended that service providers emphasize the advantages and ease of use of AI chatbots in order to draw new clients. Additionally, in order to promote ChatGPT or related technologies, marketers should concentrate on raising the technology’s perceived novelty value. This is because people are open to new technologies as long as they believe they are interesting and innovative.

ChatGPT is an advanced AI-powered chatbot that has the potential to advance and revolutionize the learning and teaching process. This study attempted to look at the elements that lead students to want to use ChatGPT from an academic standpoint by combining the UGT and TAM. For practitioners, academics and educators, the findings provide a solid knowledge of and encouragement for the sustainable use of such AI tools. Despite having important practical consequences, the study contains a number of limitations that indicate possible research gaps that should be filled by further investigation.

This paper examines the factors influencing the adoption of Quality 4.0 technologies by quality professionals. The study evaluates perceived usefulness, perceived ease of use, attitude towards use, and intention to use new technologies.

The research involves a literature review, identification of latent variables derived from the Technology Acceptance Model (TAM), and a survey conducted among 200 quality professionals in the high-tech sector using computer-assisted web interviews.

The study elucidates the attitudes and intentions of high-tech industry employees towards adopting Quality 4.0 technologies. The primary conclusion drawn is that the predominant factor shaping the attitude of quality professionals towards new technologies is their confidence in their ability to effectively engage with these technologies rather than solely the perceived usefulness of such technologies to themselves or their organization.

This study is subject to certain limitations. Firstly, it focuses on five variables identified in the TAM model, potentially overlooking other pertinent factors that could provide a more comprehensive understanding. Secondly, the analysis of Quality 4.0 technologies is presented in a generalized manner, possibly resulting in nuanced differences if each specific technology were examined individually.

This article fills a gap in the literature by identifying the factors influencing quality professionals' adoption of Quality 4.0 technologies and delineating the relationships between these factors.

This study aims to explore entropy evaluation in the bi-directional flow of Casson hybrid nanofluids within a stagnated domain, a topic of significant importance for optimizing thermal systems. The aim is to investigate the behavior of unsteady, magnetized and laminar flow using a parametric model based on the thermo-physical properties of alumina and copper nanoparticles.

The research uses boundary layer approximations and the Keller-box method to solve the derived ordinary differential equations, ensuring numerical accuracy through convergence and stability analysis. A comparison benchmark has been used to authenticate the accuracy of the numerical outcomes.

Results indicate that increasing the Casson fluid parameter (ranging from 0.1 to 1.0) reduces velocity, the Bejan number decreases with higher bidirectional flow parameter (ranging from 0.1 to 0.9) and the Nusselt number increases with higher nanoparticle concentrations (ranging from 1% to 4%).

This study has limitations, including the assumption of laminar flow and the neglect of possible turbulent effects, which could be significant in practical applications.

The findings offer insights for optimizing thermal management systems, particularly in industries where precise control of heat transfer is crucial. The Keller-box simulation method proves to be effective in accurately predicting the behavior of such complex systems, and the entropy evaluation aids in assessing thermodynamic irreversibilities, which can enhance the efficiency of engineering designs.

These findings provide valuable insights into the thermal management of hybrid nanofluid systems, marking a novel contribution to the field.

The purpose of this study is twofold. The first objective is to identify the factors that affect Gen Z tourists' M-payment behaviour. Next, this study investigates the inter-relationship between Gen Z tourist’s perception of M-payment benefits, adoption behaviour, usage risk and future usage intention.

The sample comprised Malaysian Gen Z individuals (n = 326) who had experience using M-payment methods while travelling outbound. Given the complex nature of the model and the goal to predict and explain relationships within Gen Z's M-payment usage, partial-least square-structural equation modelling was used to assess the study framework and test the proposed relationships.

This study reveals significant influences on Gen Z tourists' behavioural intentions towards M-payment usage. Perceived benefits, performance expectancy, social influence and perceived trust positively impact behavioural intentions, while effort expectancy exhibits no significant effect. Furthermore, perceived trust is strongly influenced by perceived security, which also positively influences behavioural intentions. A mediated relationship is evident as trust mediating the effect of perceived security on behavioural intentions.

This study’s findings contribute to understanding the intricate relationships influencing Gen Z's M-payment behaviour and underscore trust's pivotal role in mediating the security–behavioural intention relationship.

This study is among the first to consider Mental Accounting Theory and the Unified Theory of Acceptance and Use of Technology as crucial underpinning theories in comprehending the intricate relationships that influence Gen Z travellers' perceptions and behaviours concerning M-payment systems.

The variance between the winning bid and the owner's estimated cost (OEC) is one of the construction management risks in the pre-tendering phase. The study aims to enhance the quality of the owner's estimation for predicting precisely the contract cost at the pre-tendering phase and avoiding future issues that arise through the construction phase.

This paper integrated artificial neural networks (ANN), deep neural networks (DNN) and time series (TS) techniques to estimate the ratio of a low bid to the OEC (R) for different size contracts and three types of contracts (building, electric and mechanic) accurately based on 94 contracts from King Saud University. The ANN and DNN models were evaluated using mean absolute percentage error (MAPE), mean sum square error (MSSE) and root mean sums square error (RMSSE).

The main finding is that the ANN provides high accuracy with MAPE, MSSE and RMSSE a 2.94%, 0.0015 and 0.039, respectively. The DNN's precision was high, with an RMSSE of 0.15 on average.

The owner and consultant are expected to use the study's findings to create more accuracy of the owner's estimate and decrease the difference between the owner's estimate and the lowest submitted offer for better decision-making.

This study fills the knowledge gap by developing an ANN model to handle missing TS data and forecasting the difference between a low bid and an OEC at the pre-tendering phase.

This paper aims to explore examine the therapeutic potential of head-mounted display (HMD)-based Virtual Reality Relaxation Therapy (VRRT) sessions for people individuals with dementia in Jordan.

This cross-sectional survey recruited 75 dementia-diagnosed elderly individuals from three Jordanian care homes. A VRRT intervention comprising 10 tailored RT sessions held over the course of five weeks was administered to the participants. Apathy, cognitive performance, anxiety and depression were evaluated before and after the intervention to determine any changes. The Person-Environment Apathy Rating Scale's (PEARS) Arabic translation's validity and reliability were also evaluated.

The VRRT intervention yielded noteworthy results in reducing apathy, as indicated by a substantial decrease in PEARS scores from 17.20 to 11.15. The findings of the study revealed that the participants demonstrated enhanced cognitive abilities, as evidenced by a significant rise in their Saint Louis University Mental Status ratings, which increased from 15.11 to 19.70. The levels of anxiety and depression exhibited a significant decrease subsequent to the implementation of VRRT, with anxiety levels decreasing from 13.66 to 8.23 and depression levels decreasing from 13.62 to 9.33. Furthermore, a notable 70% of participants demonstrated statistically significant decreases in indifference.

This study makes a significant contribution to the advancement of innovative treatment approaches aimed at addressing the needs of the aging population, hence enhancing health outcomes and raising the quality of care in Jordan.

The effectiveness of VRRT in reducing apathy among Jordanian senior citizens residing in nursing homes has not yet been fully investigated. Therefore, this paper seeks to assess the effectiveness of HMD-based VRRT by conducting pre- and post-intervention evaluations. This research aims to provide valuable insights into the applicability and significance of VRRT in the Jordanian context, contributing to the development of culturally appropriate and cutting-edge therapeutic interventions for older individuals in Jordan. Through this study, the authors aim to promote improved health and elevated standards of care for this population.