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The deployment of artificial intelligence (AI) technologies in travel and tourism has received much attention in the wake of the pandemic. While societal adoption of AI has accelerated, it also raises some trust challenges. Literature on trust in AI is scant, especially regarding the vulnerabilities faced by different stakeholders to inform policy and practice. This work proposes a framework to understand the use of AI technologies from the perspectives of institutional and the self to understand the formation of trust in the mandated use of AI-based technologies in travelers.

An empirical investigation using partial least squares-structural equation modeling was employed on responses from 209 users. This paper considered factors related to the self (perceptions of self-threat, privacy empowerment, trust propensity) and institution (regulatory protection, corporate privacy responsibility) to understand the formation of trust in AI use for travelers.

Results showed that self-threat, trust propensity and regulatory protection influence trust in users on AI use. Privacy empowerment and corporate responsibility do not.

Insights from the past studies on AI in travel and tourism are limited. This study advances current literature on affordance and reactance theories to provide a better understanding of what makes travelers trust the mandated use of AI technologies. This work also demonstrates the paradoxical effects of self and institution on technologies and their relationship to trust. For practice, this study offers insights for enhancing adoption via developing trust.

The adoption of mobile payment remains low in certain regions, highlighting the need to identify the factors that enable and inhibit its adoption. This study aims to address this gap by investigating the role of information security, loss aversion and the moderating influence of the herd effect on Inertia and behavioral intentions in the adoption of mobile payment systems.

A structural equation model was developed and tested with 332 valid questionnaires to examine the proposed hypotheses.

The empirical results reveal that information security plays a significant role as an enabler, while loss aversion acts as an inhibitor of mobile payment adoption. Furthermore, the study uncovers the moderating influence of the herd effect on the relationship between Inertia and behavioral intentions.

This study was conducted in a specific region and may not be generalizable to other regions. Future studies could expand the sample size and scope to enhance the external validity of the findings.

This study offers practical implications for mobile payment service providers. Understanding the key enabling and inhibiting factors identified in this study can guide providers in designing and improving their services. Strengthening information security measures can help build trust among potential adopters, while offering incentives can mitigate the impact of loss aversion and encourage early adoption.

The findings of this study have social implications as they contribute to promoting the adoption of mobile payment systems. Increased adoption can enhance financial inclusion and stimulate economic development.

This study provides novel insights into the enabling and inhibiting factors of mobile payment adoption and highlights the moderating role of the herd effect. By shedding light on the influence of social norms on individual behavior in the context of mobile payment adoption, this study contributes to the existing literature and advances our understanding of this phenomenon.

Financial services industry is increasingly showing interest in automated financial advisors, or robo-advisors, with the aim of democratizing access to financial advice and stimulating investment behavior among populations that were previously less active and less served. However, the extent to which consumers trust this technology influences the adoption of rob-advisors. The resemblance to a human, or anthropomorphism, can provide a sense of social presence and increase trust.

In this paper, we conduct an experiment (N = 223) to test the effect of anthropomorphism (low vs medium vs high) and gender (male vs female) of the robo-advisor on social presence. This perception, in turn, enables consumers to evaluate personality characteristics of the robo-advisor, such as competence, warmth, and persuasiveness, all of which are related to trust in the robo-advisor. We separately conduct an experimental study (N = 206) testing the effect of gender neutrality on consumer responses to robo-advisory anthropomorphism.

Our results show that consumers prefer human-alike robo-advisors over machinelike or humanoid robo-advisors. This preference is only observed for male robo-advisors and is explained by perceived competence and perceived persuasiveness. Furthermore, highlighting gender neutrality undermines the positive effect of robo-advisor anthropomorphism on trust.

We contribute to the body of knowledge on robo-advisor design by showing the effect of robot’s anthropomorphism and gender on consumer perceptions and trust. Consequently, we offer insightful recommendations to promote the adoption of robo-advisory services in the financial sector.

The purpose of this study is to analyse potential models of Islamic crowdfunding as an alternative financing option for micro-entrepreneurs in Malaysia. While crowdfunding has gained traction as an alternative funding source for businesses, it is unclear how far this concept can benefit a group of micro-entrepreneurs in Malaysia.

This study uses a qualitative research approach by using data collected through semi-structured interviews with several experts and practitioners in crowdfunding, Shariah and entrepreneurship. Prior to discussing the facets of the findings, the data were analysed based on a thematic approach.

The findings reveal that while previous works of related literature suggest crowdfunding as a viable alternative financing option for entrepreneurs and their businesses, in reality, its practical implementation presents challenges. Numerous micro-entrepreneurs need more training in the areas of management and marketing. Such concerns raise questions about their ability to attract potential project backers. With the proper selection of Shariah contracts and several approaches to risk management, Islamic crowdfunding can potentially become an alternative funding source for microbusinesses.

Given the exploratory nature of this study regarding the applicability of Islamic crowdfunding as an alternative fund for micro-entrepreneurs, its findings may not fully encompass Malaysia’s context because of the limited number of participants involved.

The findings of this study offer guidelines on how to implement Islamic crowdfunding for micro-entrepreneurs. Consequently, Islamic crowdfunding has the potential to alleviate the government’s burden of providing funds for micro-enterprises and enhance their skills and mentality to be more independent, creative and able to promote their products.

While Islamic crowdfunding can be an alternative opportunity for business enterprises and community-based projects, it promotes the spirit of cooperation and collaboration within society.

Although Islamic crowdfunding is a topic that has been discussed previously, empirical investigations in this area remain scarce, mainly through qualitative approaches. Distinguishing from prior literature, this study analyses several potential models of Islamic crowdfunding from the perspectives of experts, practitioners and related agencies for micro-entrepreneurs. Moreover, this study bridges insights from related literature so that they offer practical applications to support micro-entrepreneurs in Malaysia.

The purpose of this study is to propose and test an integrated model to explain how trust is built in sharing economy (SE) transactions.

Initially, prior literature was systematically selected and synthesized to develop a comprehensive framework applicable to multiple trust-building perspectives and categories of SE platforms. Then, a survey was conducted to validate the constructs and test the model with Airbnb guests. A sample of 351 responses was collected and analyzed using structural equation modeling.

The results indicate that the cues an individual assesses to infer their counterpart’s trustworthiness and the reasons the individual has for engaging in the SE transaction can explain a large variance in their trust in the counterpart. In addition, the individual’s propensity to trust moderates this relationship.

The proposed model can help identify the most effective trust-building mechanisms. It can be taken as a common knowledge base for scholars to compare the four trust-building perspectives and different categories of SE platforms, as well as to investigate the subject over time and across cultures.

This research can also help practitioners understand the complexity of building trust and design platform features to do so.

A unified model clarifies trust in the SE, aiding platform growth and community bonding. This insight guides platforms in feature enhancement and policymakers in drafting balanced regulations.

To the best of the authors’ knowledge, for the first time, there is a comprehensive and parsimonious model applicable to the four trust-building perspectives and different categories of SE platforms.

The purpose of this paper is to identify the practices that owners of public profiles in social networking sites can leverage to actively build online reputation and to evaluate the impact of the adoption of such practices on the initial formation of trust toward these individuals when they are presented as new virtual work partners.

A theoretical model was developed and an experiment with 233 participants was utilized to assess the model using partial least squares structural equation modeling.

The results suggest that individuals can build their online reputations in public profiles of social networking sites via a series of practices of self-disclosure of information and that the adoption of these practices has significant effects on the initial formation of trust toward the profile owner in virtual work contexts. Categorization mechanisms such as stereotyping, unit grouping and reputation categorization have been found to contribute to the initial formation of trust, both from an affect and cognition-based perspectives.

Little is known about the information disclosure practices in public profiles of social networking sites that new work partners can adopt to facilitate the formation of trust between them before they start working together. This study has contributed to the existing body of literature by clarifying these practices and the relative importance of online reputation to the initial formation of trust during the outset of a new virtual work relationship.

This study aims to investigate the role of social media in increasing trust, self-perceived creativity and millennial entrepreneurial satisfaction.

The empirical analysis was conducted using a sample of 385 millennial entrepreneurs that were recruited for online survey. After conducting reliability and validity tests, the data were analyzed using partial least squares structural equation modeling.

The results showed that the quality of social media information had a direct and indirect positive and significant effect on trust and satisfaction. Social media marketing activities had a direct and indirect positive and significant effect on trust and self-perceived creativity. System Quality of social media also has a significant direct influence on trust. However, there is no direct relationship to satisfaction. Finally, social media marketing activities have a significant direct effect on trust and satisfaction.

This research can contribute to marketing experts and millennial entrepreneurs in improving the quality of advertising information and the credibility of social media used to support creativity, trust and satisfaction. In addition, marketing experts and millennial entrepreneurs with online-based communities should optimize their marketing activities on social media.

This study has shown a more comprehensive model of the relationship between information quality, system quality, social media marketing activities, self-perceived creativity, trust and satisfaction. This study also reveals a significant direct and indirect effect of social media marketing activities on satisfaction.

The COVID-19 pandemic has generated a significant impact on several aspects of public relations practice. By adopting the theoretical framework of adaptive leadership, this research is designed to explore how an organization’s top leadership can support related adaptive action in strategic communication. Particularly, we hope to explore whether the application of adaptive leadership could facilitate a higher level of communication transparency as well as deliver a sense of caring and empathy in COVID-19 communication.

An international online survey was designed and conducted for this study. The first sample consists of 776 full-time communication professionals in the United States of America with 435 women (56.1%) and 341 men (43.9%). The second sample consists of 268 full-time communication professionals in Canada, with 110 women (41.0%) and 158 men (59.0%). The two samples were merged into the final sample of 1,044 for the data analysis.

Results confirmed that the perceived impact of the COVID-19 pandemic increased communication professionals’ challenges in building trust. It also drives adaptive changes in their coping actions in strategic communication. More importantly, the top leadership within the organization played a key role in this adaptive leadership environment by demonstrating commitment to transparency in COVID-19 communication and delivering a sense of empathy during the pandemic.

This study contributes to our understanding of strategic communication in times of crisis, such as the COVID-19 global pandemic, by focusing on the adaptive nature of communication leadership. More importantly, our study confirms the important roles of two leadership attributes (i.e. the sense of empathy and the commitment to communication transparency) in supporting adaptive leadership, which eventually influences trust building.

This study examines the relationship between trust, the investment model and logistics performance and the importance of commitment between companies in the supply chain. Furthermore, it analyzes satisfaction, quality of alternatives, investment size and commitment level, which are the constituent factors of the investment model, and reviews trust and logistics performance to ascertain their causal relationship.

The authors examined employees working in supply chain-related departments in Korean companies and further conducted an online survey for a month in January 2022 through the survey agency Entrust Survey, through which the authors distributed a total of 4,082 questionnaires and collected and used a total of 300 questionnaires for statistical analysis. The authors then validated the hypotheses using SPSS 18.0 and AMOS 18.0 using the structural equation modeling method.

The results showed that trust significantly and positively affects satisfaction levels in the relationship between companies in the supply chain. Trust can lower uncertainty in the transaction process between companies.

In this study, the investment model, which has been predominantly observed in the field of family psychology, was applied to business studies. In addition, the investment model was extended to enable its application to supply chain management research, thereby offering a distinctive research model from preceding studies.

The purpose of this paper is to investigate the factors influencing Palestinian consumer attitudes toward artificial intelligence (AI)-powered online banking, focusing on performance expectancy, effort expectancy, social influence and facilitating conditions while considering the moderating role of trust in financial institutions.

To test the hypotheses, an empirical study with a questionnaire was carried out. The study was completed by 362 Palestinian customers who use online banking services.

The findings of this paper show that performance expectancy, effort expectancy, social influence and facilitating conditions significantly influence consumer attitudes toward AI-powered online banking. Furthermore, trust in financial institutions as a moderating variable strengthens the impact of performance expectancy, effort expectancy, social influence and facilitating conditions on consumer attitudes toward AI-powered online banking. Therefore, more studies should focus on certain fields and cultural contexts to get a more thorough grasp of the variables influencing adoption and acceptability.

The study's findings may be specific to the Palestinian context, limiting generalizability. The reliance on self-reported data and a cross-sectional design may constrain the establishment of causal relationships and the exploration of dynamic attitudes over time. In addition, external factors and technological advancements not captured in the study could influence Palestinian consumer attitudes toward AI-powered online banking.

Financial institutions can leverage the insights from this research to tailor their strategies for promoting AI-powered online banking, emphasizing factors like perceived security and ease of use. Efforts to build and maintain trust in financial institutions are crucial for fostering positive consumer attitudes toward AI technologies. Policymakers can use these findings to inform regulations and initiatives that support the responsible adoption of AI in the financial sector, ensuring a more widespread and effective implementation of these technologies.

This research delves into Palestinian consumer attitudes toward AI-powered online banking, focusing on trust in financial institutions. It aims to enrich literature by exploring this under-explored area with meticulous examination, robust methodology and insightful analysis. The study embarks on a novel journey into uncharted terrain, seeking to unearth unique insights that enrich the existing literature landscape. Its findings offer valuable insights for academia and practitioners, enhancing understanding of AI adoption in Palestine and guiding strategic decisions for financial institutions operating in the region.