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Technology advancement has changed how banks operate. Modernizing technology has, on the one hand, made it simpler for banks to do their daily business, but it has also increased cyberattacks. The purpose of the study is to to determine the factors that have the most effects on online fraud detection and to evaluate the advantages of AI and human psychology research in preventing online transaction fraud. Artificial intelligence has been used to create new techniques for both detecting and preventing cybercrimes. Fraud has also been facilitated in some organizations via employee participation.

The main objective of the research approach is to guide the researcher at every stage to realize the main objectives of the study. This quantitative study used a survey-based methodology. Because it allows for both unbiased analysis of the relationship between components and prediction, a quantitative approach was adopted. The study of the body of literature, the design of research questions and the development of instruments and procedures for data collection, analysis and modeling are all part of the research process. The study evaluated the data using Matlab and a structured model analysis method. For reliability analysis and descriptive statistics, IBM SPSS Statistics was used. Reliability and validity were assessed using the measurement model, and the postulated relationship was investigated using the structural model.

There is a risk in scaling at a fast pace, 3D secure is used payer authentication has a maximum mean of 3.830 with SD of 0.7587 and 0.7638, and (CE2).

This study focused on investigating the benefits of artificial intelligence and human personality study in online transaction fraud and to determine the factors that affect something most strongly on online fraud detection. Artificial intelligence and human personality in the Indian banking industry have been emphasized by the current research. The study revealed the benefits of artificial intelligence and human personality like awareness, subjective norms, faster and more efficient detection and cost-effectiveness significantly impact (accept) online fraud detection in the Indian banking industry. Also, security measures and better prediction do not significantly impact (reject) online fraud detection in the Indian banking industry.

This study aims to understand how organizations in the service industry can encourage the use of enterprise social networks (ESNs) for knowledge sharing, focusing on the concepts of intra-organizational trust and governance.

The authors gathered data through an online survey of 104 participants from the financial services industry. Data were analyzed using structural equation modelling to test the proposed model and evaluate the constructs’ reliability and validity.

The findings of the survey data indicate that intra-organizational trust and governance are related to the use of ESN for knowledge sharing to enhance service innovation. Further, the findings suggest that, although trust directly affects service innovation, using ESN for knowledge sharing partially mediates the relationship between trust and service innovation. The findings also reveal that governance significantly moderates the relationship between ESN for knowledge sharing and innovation.

This paper provides insights into the relationship between trust, knowledge sharing and innovation. The novelty of this study demonstrates that governance strengthens the relationship between ESN for knowledge sharing and innovation. Further, the study suggests that firms using or intending to use ESNs could keep track of the evolving nature of ESNs, develop an open culture and create a trusted environment in their organizations.

This study aims to develop a customer-centric model based on an online customer experience (OCE) construct relating to e-loyalty, e-trust and e-satisfaction, resulting in improved Net Promoter Score for Indian digital banks.

This study used an online survey method to gather data from a sample of 485 digital banking users, from which usable questionnaires were obtained. The obtained data were subjected to thorough analysis using partial least squares structural equation modelling to further investigate the research hypotheses.

The main factors determining digital banks’ OCE were perceived customer centrality, perceived value and perceived usability. Additionally, relevant constructs were evaluated using importance-performance map analysis.

This study used convenience sampling for the urban population using digital banking services; therefore, the outcome may be generalized to a limited extent. To further strengthen digital banking, it would be valuable to imitate studies in other countries.

There is a lack of research on digital banking and OCE in India; thus, this study will help rectify this issue while providing valuable insights. This study differs from others in that it examines the connections between online customer satisfaction, loyalty, trust and the bottom line of financial institutions using these factors as dependent variables instead of traditional measures.

This study aims to investigate the influence of cognitive and affective trust on the revisit intention of medical tourists to a developing country like India, focusing on the role of country image as a moderator.

This study used partial least square-based structural equation modelling to test the hypotheses using data from 297 medical tourists visiting India from abroad for treatment.

The findings of this study confirmed that all the dimensions of cognitive trust, namely, perceived expertise, performance and reputation of the health-care service providers, have a positive and significant impact on the revisit intention of medical tourists to India. In contrast, none of the two dimensions of affective trust have a significant effect on the revisit intention of medical tourists to India. This study also confirmed that country image significantly moderates the relationship between performance dimensions of cognitive trust and medical tourists’ revisit intention to India.

The study’s findings have significant theoretical and managerial implications as they explore the effect of cognitive and affective trust on medical tourists’ the revisit intention to visit an emerging economy, considering the country’s image as a moderator.

本研究旨在调查认知和情感信任对印度等发展中国家医疗游客重游意愿的影响, 重点关注国家形象的调节作用。

本研究采用基于偏最小二乘的结构方程模型, 使用 297 名从国外到印度接受治疗的医疗游客的数据来检验假设。

本研究的结果证实, 认知信任的所有维度, 即医疗服务提供者的专业知识、绩效和声誉, 对印度医疗游客的重游意愿产生积极且显着的影响。相比之下, 情感信任的两个维度都没有对印度医疗游客的重游意愿产生显着影响。这项研究还证实, 国家形象显着调节认知信任绩效维度与医疗游客重访印度意愿之间的关系。

该研究的结果具有重要的理论和管理意义, 因为他们探讨了认知和情感信任对医疗游客重访新兴经济体的意愿的影响, 并考虑到该国作为调节者的形象。

Este estudio tiene como objetivo investigar la influencia de la confianza cognitiva y afectiva en la intención de volver a visitar a un país en desarrollo como la India por parte de turistas médicos, centrándose en el papel de la imagen del país como moderador.

Este estudio empleó un modelo de ecuaciones estructurales parcial basado en mínimos cuadrados para probar las hipótesis utilizando datos de 297 turistas médicos que visitaron la India desde el extranjero para recibir tratamiento.

Los hallazgos de este estudio confirmaron que todas las dimensiones de la confianza cognitiva, es decir, la experiencia percibida, el desempeño y la reputación de los proveedores de servicios de atención médica, tienen un impacto positivo y significativo en la intención de volver a visitar a la India por parte de los turistas médicos. Por el contrario, ninguna de las dos dimensiones de la confianza afectiva tiene un efecto significativo en la intención de volver a visitar la India por parte de los turistas médicos. Este estudio también confirmó que la imagen del país modera significativamente la relación entre las dimensiones de desempeño de la confianza cognitiva y la intención de los turistas médicos de volver a visitar la India.

Los hallazgos del estudio tienen importantes implicaciones teóricas y administrativas, ya que exploran el efecto de la confianza cognitiva y afectiva en la intención de los turistas médicos de visitar una economía emergente, considerando la imagen del país como moderador.

Digital healthcare manages to grab considerable attention from people and practitioners to avoid severity and provide quick access to healthcare. Entrepreneurs also adopt the digital healthcare segment as an opportunity; nevertheless, their intentions to participate and encourage innovation in this growing sector are unexplored. Drawing upon the social capital theory and health belief model, the study examines the factors that drive entrepreneurship. A novel model is proposed to comprehend entrepreneurial intentions and behavior entrenched in social capital and other encouraging and dissuading perceptive elements with the moderation of trust in digitalization and entrepreneurial efficacy.

The cross-sectional method is used to collect data through a questionnaire from experienced respondents in China. The valid data comprises 280 respondents, analyzed by partial least square structural equation modeling.

Social capital significantly influences monetary attitude, and perceived risk and holds an inconsequential association with perceived usefulness, whereas monetary attitude and perceived usefulness meaningfully explain entrepreneurial activities. Perceived risk has a trivial impact on entrepreneurial intention. Entrepreneurial efficacy and trust in digitalization significantly explain entrepreneurial behavior and moderate the positive relationship between intention and behavior.

The present research proposes a novel research model in the context of entrepreneurship rooted in a digitalized world and offering new correlates. It provides valuable insights by exploring entrepreneurial motivation and deterring factors to get involved in startup activities entrenched in social capital, providing guidelines for policymakers and practitioners to promote entrepreneurship.

The huge Muslim population has increased the demand for halal tourism products and destination factors in this niche tourism segment. Despite the growing body of research conducted regarding ChatGPT’s revolutionary impact on the tourism industry, the use of such an artificial intelligence (AI) tool in halal tourism needs more attention. This study aims to provide a comprehensive an overview of using ChatGPT in the tourism industry, specifically in halal tourism, and offer an agenda for further essential research questions exploration.

Through the intensive examination of the tourism literature dealing with AI and halal tourism, this review identifies the implications related to the use of ChatGPT for Muslim travelers and future trends in halal tourism.

This paper identified the possible utilization of ChatGPT in assisting Muslim travelers across various stages of their journey, encompassing pre-trip, staying and post-trip phases. Subsequently, this paper identified the opportunities and challenges associated with implementing ChatGPT in the context of halal tourism. Finally, the paper delves into potential avenues for future research.

The findings serve as crucial implications, contributing to the theory of halal tourism development and the applications of ChatGPT in halal tourism.

This paper provides essential foundational knowledge for upcoming research on halal tourism theory, ChatGPT and the development of halal tourism sector.

The basis for this study on electronic transferable records (ETRs) in the context of digitalizing cross-border trade is established in this chapter. It illustrates how the growing trend toward paperless trade and technological improvements is changing trade operations. This chapter focuses on the need to look into ETRs because of their capacity to influence business transactions while navigating complex legal issues. The specific goals of the study are outlined, including a review of the advantages, legality, difficulties and best practices of ETRs. This study aims to shed light on the possible advantages and disadvantages of ETRs, the legal framework that controls their use and the best practices for their efficient implementation. This study also seeks to provide informative recommendations for businesses and people that are considering using ETRs.

This study explores the evolving world of ETRs and their crucial function in international trade. Multidimensional technique is used to examine the transformative potential of ETRs from a variety of research angles. The research design is based on a comprehensive evaluation of the literature that includes a wide range of reliable sources, including academic papers, business reports and legal documents. The comprehensive retrieval of essential material is ensured through keyword searches in renowned academic databases and industry resources. The qualitative synthesis of secondary sources further enhances this methodology and allows for a complex examination of the implications of ETRs. The case study analysis provides practical information on the benefits, hazards and practical applications of ETRs. Multifaceted aspects are uncovered via a thematic approach and qualitative investigation, including potential advantages, hazards, implementation plans and regulatory frameworks.

ETRs offer a range of potential advantages for cross-border trade, encompassing augmented efficiency, reduced costs and heightened security. Nonetheless, their implementation also presents legal challenges and risks, spanning security and privacy concerns, legal ambiguities and technical complexities. Consequently, it is crucial for individuals and businesses to meticulously assess and mitigate these risks through the integration of robust security protocols, staying informed about legal developments and adhering to pertinent regulatory stipulations. In spite of these hurdles, the trajectory of ETR adoption is anticipated to remain on an upward trajectory, driven by increasing recognition of their potential benefits and the concurrent evolution of legal frameworks and technical standards.

Research limitations included the following: lack of adoption of ETRs internationally; and legal diversity and different legal systems results in different consideration of the ETRs. It makes reaching a unified ETR system more difficult.

It is necessary to develop clear policies and procedures and establish well-defined policies and procedures governing ETR use. These should encompass security guidelines, data protection measures and adherence to legal mandates. Regular review and updates are imperative. Stay current on legal developments: In light of the continuously evolving legal and regulatory landscape pertaining to ETRs, businesses and individuals must stay abreast of pertinent changes and seek professional counsel when necessary. Collaborate with partners and stakeholders: To ensure harmonization and standardization in ETR deployment, active collaboration with partners, regulators and industry associations is vital.

Enhance awareness and education: Investment in awareness and educational initiatives is crucial. Decision-makers should organize training programs, workshops and seminars to enhance understanding of ETRs’ potential benefits in cross-border trade among stakeholders. Socially, the use of ETR can achieve several political advantages for the society. It minimizes risks of corruption through enhancing tracing and auditing abilities for relevant authorities making it more difficult to engage in corrupt practices. That can promote integrity within government and public procurement system.

The development of standardized technical frameworks and interoperable platforms for ETRs could enhance their seamless integration into existing trade systems. Additionally, investigating the integration of emerging technologies like blockchain, IoT and AI into ETR ecosystems could unlock innovative solutions to security, authenticity and data management concerns. This study examines how ETRs can radically alter how trade is conducted on a global scale. This paper examines ETRs’ role in improving cross-border trade digitization by examining their advantages, legal difficulties and implementation techniques. The conclusions will aid firms, decision-makers and attorneys in navigating the constantly changing world of trade agreements. The study’s ultimate goal is to offer takeaways that support effective, secure and legally compliant integration of ETRs, ensuring that they operate as a catalyst for improved global trade efficacy and efficiency.

The purpose of this study is to investigate the influence of augmented reality (AR) media characteristics on consumers’ purchase intention (PI) for fashion goods within the fashion industry context.

This study establishes five independent variables of salient AR media characteristics derived from existing studies which includes interactivity, vividness, augmentation, simulated physical control and environmental embedding. A quantitative online survey method is conducted with a sample of 172 respondents.

The findings suggest that all five AR media characteristics have a positive and significant influence on consumers’ PI for fashion goods. Among these five characteristics, interactivity and simulated physical control have the strongest positive impact on PI, followed by vividness, environmental embedding and augmentation.

This study provides valuable insights for fashion brands to better understand the media characteristics that consumers may be looking out for in AR experiences that could have an influence on their PI for fashion goods. This study also contributes to the literature by identifying the most influential AR media characteristics in the context of the fashion industry.

This research aims to investigate the mediating role of organizational dehumanization in the relationships between supervisor/coworker ostracism and employee outcomes (i.e., increased physical strains, decreased work engagement, increased turnover intentions). Moreover, this research explores the moderating role of supervisor’s organizational embodiment and coworkers’ organizational embodiment in these indirect relationships.

A cross-sectional study (N = 625) surveying employees from various organizations while using online questionnaires was conducted.

Results highlighted that, when considered together, both supervisor ostracism and coworker ostracism are positively related to organizational dehumanization, which, in turn, detrimentally influences employees’ well-being (increased physical strains), attitudes (decreased work engagement) and behaviors (increased turnover intentions). Results further indicated that the indirect effects of supervisor ostracism on outcomes via organizational dehumanization were stronger when the supervisor was perceived as highly representative of the organization. However, the interactive effect between coworker ostracism and coworkers’ organizational embodiment on organizational dehumanization was not significant.

This research adds to theory by highlighting how and when supervisor and coworker ostracism relate to undesirable consequences for both employees and organizations. On top of simultaneously considering two sources of workplace ostracism (supervisor/coworkers), this research adds to extant literature by examining one underlying mechanism (i.e., organizational dehumanization) explaining their deleterious influence on outcomes. It further examines the circumstances (i.e., high organizational embodiment) in which victims of supervisor/coworker ostracism particularly rely on this experience to form organizational dehumanization perceptions.

This service evaluation aims to understand the experiences of service users (SUs) who accessed an early intervention in psychosis (EIP) service during the Coronavirus pandemic using qualitative and quantitative methodologies and compare these to a previous pre-pandemic study conducted within the same service (Watkins et al., 2018).

This paper collated experiences of individuals accessing an EIP service to inform service development. Questionnaires and individual interviews were conducted to provide quantitative and qualitative data. Descriptive statistics and T-test confidence intervals were created from the results and compared to findings of Watkins et al. (2018). Interviews were transcribed verbatim and analysed using Braun and Clarke’s (2006) thematic analysis.

Data showed participants were largely satisfied with all areas of the service with “work or education”, “living skills”, and “addictions” scoring highest. Though participants reported no overall dissatisfaction, satisfaction levels dropped in “social activities” compared to the findings of Watkins et al. (2018), perhaps due to the national restrictions put in place to manage the spread of Coronavirus during this time. Interview analysis identified three themes of importance consistent with prior literature, highlighting the importance of relationships and validation during recovery.

This evaluation did not consider whether participants had accessed the service prior to the pandemic or only during, meaning that some participants could have a point of comparison with the service pre-pandemic, whereas others might not. Similarly, the participants were not the same as those of the Watkins et al.’s (2018) evaluation, meaning that direct comparisons of pre- and post-pandemic experiences were not possible. In addition, this evaluation collected data at only one time point early in the pandemic; therefore, it is unknown if client experiences of services differed as the pandemic and restrictions continued over time.

The Covid-19 pandemic has been an unprecedented challenge for health services, and the effects of this are becoming widely reported. This evaluation of clinical services offers a valuable perspective of service user experience of receiving mental health services during a global health crisis further offering a comparison to pre-pandemic services and the experiences of those who used them.