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This paper aims to examine the determinants that influence bank users’ acceptance for Islamic financial technology (FinTech) services by extending the technology acceptance model (TAM) in the Malaysian context.

The survey was conducted using convenience sampling. Moreover, 205 responses were gathered from users of the Islamic bank. On the same note, the literature on determinants of Islamic FinTech acceptance and TAM was reviewed as well in a bid to contribute to the factors that are instrumental in determining the acceptance of FinTech services.

Findings of the study reveal that Islamic FinTech’s services acceptance is determined by perceived ease of use, perceived usefulness and also by another variable, which is consumer innovativeness (CI). On the contrary other factors, self-efficacy and subjective norms are found not to be influential in determining Islamic FinTech’s acceptance by Islamic banking users.

TAM is extended in the context of Islamic FinTech. A new variable, namely, CI is tested using TAM. CI is yet to be tested, therefore, this paper will be a useful reference for the policymakers, academicians and future researchers.

The earth needs to go green as it clarifies that humans should adopt a sustainable lifestyle that will be friendly to the environment and society. The emerging stream of academic literature on “go green” adds a new perspective to the deep-rooted conception of entrepreneurship. The objective of green entrepreneurship is to follow the traditional concepts of entrepreneurship but also brings the additional potential for society and the environment. The present paper is designed to study the impact of personality traits and university green entrepreneurial support on green entrepreneurial intentions along with the moderating role of environmental values.

The data are collected by using the survey method, and the five-point Likert scale is used for this purpose. The statistical techniques applied to the dataset were confirmatory factor analysis and partial least square structural equation modeling.

The results revealed that personality traits are positively and significantly associated with green entrepreneurial intention, but risk-averse students depict insignificant results towards green entrepreneurial intention. Also, university green entrepreneurial support results in positive green entrepreneurial intention. Environmental values also strengthen the association.

Previously, researchers emphasized the entrepreneurial intentions for the sake of improving the economy, decreasing unemployment and promoting small ventures, but none focused on the green aspects of entrepreneurship. To date, we still lack knowledge regarding students' green entrepreneurial intentions and how personality traits and green support affect the intention. The focus of the present study is to sustain nature and ecosystems through green entrepreneurship by providing directions and economic and noneconomic gains for investors, entrepreneurs, students, universities and societies.

The role of insurance is a backbone for consumers to secure their future. It is important to know where to invest and what are the benefits. Therefore, for the Muslim segment, Islamic insurance system provides Riba (interest)-free environment where consumers invest their money and recover their losses according to sharia. This paper aims to examine the determinants that influence purchase intention of consumers toward Islamic insurance (Takaful) adoption in Pakistan with the help of the modified theory of planned behavior (TPB).

The authors added four specific variables related to Islamic sharia compliance in the conventional form of the TPB. The relationship among the variables is assessed by using partial least squares structural equation modeling, while the data are collected from 305 respondents.

The results suggest that attitude, subjective norm and perceived behavioral control are strong predictors of an Islamic insurance adoption in Pakistan. Moreover, factors such as compatibility, relative advantage and awareness have positive and significant impacts on takaful participation. A negative but insignificant relation is found between perceived risk and intention.

This paper provides insight for understanding the factors that lead to consumers' purchase intention of Islamic insurance.

This paper makes a unique contribution to the literature with reference to Pakistan, being a pioneering attempt to investigate the factors of Islamic insurance adoption by modifying the TPB and applying more rigorous statistical techniques like confirmatory factor analysis (CFA) and partial least square structural equation modeling.

An individual’s standard of living is profoundly affected by industrialization and technology’s continuous revolution. At present, the environment is uncontrollable and global warming is increasing. Therefore, there is a need to protect the earth immediately as the lives of all creatures are at risk. The purpose of this paper is to determine the factors related to green purchase behavior (GPB) by incorporating religious values (RGV) as a moderator. Moreover, the moderating role of RGV has been incorporated so that the importance of RGV in the life of millennials can be examined.

Smart partial least square (PLS) has been used for data analysis, and PLS-structural equation modeling has been used to assess measurement and structural models.

The findings reveal that environmental concern, environmental knowledge and green perceived value positively and significantly affect attitude and subjective norm (SN). Moreover, attitudes toward the purchase of green products and SNs also show a positive and significant relationship with green purchase intention (GPI). In addition, GPI is also positively and significantly associated with GPB. However, green brand knowledge portrays a positive but insignificant relationship with attitude and SN. Finally, RGV does not strengthen the relationship between intention and behavior.

Religion is a strong predictor of individual behavior as people are emotionally connected with Islam’s teachings. Therefore, the study provides a unique contribution by adding RGV as a moderator in the model of TRA. Also, the authors targeted the specific generation, i.e. millennials, so that millennials’ behavior can be identified as it covers Pakistan’s large population. Also, millennials are the people who are more involved in decision-making.

This study explores the service quality dimensions in Internet banking and their impact on e-customer’s satisfaction and e-customer’s loyalty. This study tries to inspect the structural association between Internet banking service quality, electronic customer satisfaction and electronic customer loyalty based on separate constructs.

In this present research, quantitative approach is applied. The data is gathered from 500 bank clients in Pakistan by using structured questionnaires, and the theoretical model is tested by partial least square structured equation modeling (PLS-SEM). Moreover, convergent validity and discriminant validity were assessed.

Results show that all the dimensions are found to have a positive and significant influence on customer satisfaction while customer’s satisfaction has a significant and positive impact on customer’s loyalty. Findings indicate that service quality plays a very important role in every society, as it has become the basis for how customers interpret online banking and, in the end, how it interacts and operates with online services.

This research adds up considerably to the literature of bank marketing, and it is also fruitful for the academicians since it demonstrates the way Internet banking service quality determinants predict e-satisfaction of clients which ultimately raises the e-loyalty of clients. This study is useful for those E-retailers and managers who want to grab e-retailing market.

This research suggests a model which ultimately enhances customer loyalty towards Internet banking service quality through customer satisfaction in Pakistan. It involves modified model of E-SERVQUAL (user friendliness, efficiency of websites, personal need, and site organization) which connects it to electronic customer satisfaction and electronic customer loyalty. Therefore, it will assist the Internet banking sector in building effective marketing tactics, establishing long lasting relationships with clients and acquiring the competitive edge in the market.

The usage of AI-powered chatbots and virtual assistants facilitates seamless communication, offering instant responses to inquiries and enhancing customer satisfaction. In Japan, the hospitality industry is at the forefront of this AI-driven transformation and through collaborations with technology companies, hotels are deploying AI-powered concierge services, smart room automation, and language translation systems to cater to diverse guest needs. The integration of AI in Japan's tourism sector not only enhances operational efficiency but also showcases the country's commitment to innovation and delivering exceptional customer experiences. As Japan embraces AI in its hospitality industry, it navigates the delicate balance between leveraging technology and preserving human interaction and by combining the efficiency and accuracy of AI with the warmth and personal touch of human hospitality, Japan aims to redefine the future of tourism. Moreover, AI streamlines operations by automating repetitive tasks, optimising resource allocation, and improving efficiency in areas such as reservation management, inventory control, and demand forecasting. However, along with these benefits, there are significant challenges to consider. Privacy concerns arise as AI systems collect and process personal data, necessitating robust security measures to protect sensitive information. Ethical considerations must also be addressed, as the use of AI raises questions about transparency, bias, and accountability. Furthermore, while AI enhances efficiency, there is a concern about losing the human touch that has long been a hallmark of the hospitality industry. Balancing the benefits of AI with maintaining personalised and authentic guest experiences becomes a crucial challenge.

This book is essential for anyone in artificial intelligence (AI) and destination management in the tourism industry or government. The book includes both theoretical and practical writings for stakeholders. In all chapters, we provide titles including AI, regenerative and green destinations, sustainable tourism, tourist motivations and expectations, good examples of smart destinations and regions, the regeneration of the tourism industry via AI, rethinking tourism activities and products, current issues in robots, self-service technology, effect of pandemic on smart destinations, sustainable gastronomy and regenerative tourism and tourism issues are discussed in the management plans of the centralisation. This book provides cases and empirical studies that deal in depth with the current situation, challenges, solutions and future strategies after technological development of tourism and increasing interest on smart destinations from a responsible perspective, for readers with an equitable interest or involvement with the organizations in inquiry.

This paper aims to examine the factors that drive the exporter’s influence toward halal meat supply chain adoption by encompassing the diffusion of innovation (DOI) theory in the context of Pakistan.

Using DOI as an underpinning theory, this study evaluates halal supply chain adoption by collecting data from the members of associations from Pakistan. A total of 258 useable responses were received, and PLS-SEM was adopted using SmartPLS.

The exporter’s adoption of the halal supply chain is determined not only by perceived relative advantage and perceived compatibility but also by perceived complexity, religious beliefs and awareness.

Though this study has practical and managerial implications, it has few limitations. Further studies need to be conducted in other contexts as well with a larger population.

There are limited studies that have tested DOI theory in the context of the halal meat supply chain in Pakistan. Therefore, the author extends the diffusion theory of innovation in the current work. Further, this paper will be a helpful reference guide for academicians, practitioners and researchers.

The purpose of this paper is to use institutional theory to develop the constructs of institutional pressures for social compliance and argue for a positive relationship between institutional pressures and Supplier Social Compliance Management System (SSCMS). Moreover, the authors theorize that the impact of institutional pressures on SSCMS is moderated by the supplier’s organizational culture. This is done in a particularly salient context, which is apparel manufacturing in a developing country.

The hypothesized model is tested using data of 164 suppliers from the apparel manufacturing sector. PLS-based structural equation modeling is used to test the direct and multi-group moderation hypotheses.

Empirical examination provides evidence that institutional pressures have a positive impact on supplier social compliance and the types of organizational culture have varied moderation effects.

This research is based on cross-sectional data from one industry. Future research should collect data from diverse sectors in different countries.

The findings suggest that consistent pressures from various stakeholders can increase supplier social compliance. In addition, the partial evidence for moderation effect of organizational culture indicates that supplier’s internal value system’s alignment with social compliance pressures plays an important role in determining how supplier acts on social compliance initiatives.

The issue of suppliers’ adoption of social compliance management systems has become prominent as a consequence of the shifting of manufacturing to developing countries. However, comprehensive frameworks explaining antecedents of adoption of SSCMS using large-scale empirical data are limited. In addition, findings on the relationship between supplier social sustainability practices and their antecedents are inconsistent.