Does artificial intelligence (AI) boost digital banking user satisfaction? Integration of expectation confirmation model and antecedents of artificial intelligence enabled digital banking.

In the era disruptive technology the emergence of artificial intelligence has fundamentally improved banking operations. The execution of artificial intelligence is no longer discretionary for financial institutions and now it is considered an essential tool to meet customer expectations. Although artificial intelligence enabled digital banking is faster efficient and effective however user acceptance of digital banking driven by artificial intelligence is in its initial stages. Therefore, current study develops and integrated research framework with expectation confirmation model and examines digital banking user satisfaction and acceptance of AI enabled digital banking. Data were collected from digital banking user through structured questionnaire. Overall, 320 respondents were approached and requested to participate in digital banking survey. In return 251 valid responses were received and analyzed with structural equation modeling. Findings of the structural model indicate that satisfaction is jointly determined by expectation confirmation, perceived performance, trendiness, visual attractiveness, problem solving, customization, communication quality and revealed substantial variance R^2 51.1% in digital banking user satisfaction. Therefore, satisfaction and corporate reputation have shown considerable variance R^2 48.3 in user acceptance of AI enabled digital banking. Moreover, the research framework has revealed substantial predictive power Q^2 0.449 to predict digital banking user satisfaction and Q^2 0.493 user acceptance of artificial intelligence enabled digital banking. Concerning with hypotheses relationships exogenous factors have shown positive and significant impact user satisfaction except trendiness and customization. Practically, this research has suggested that policy makers should pay attention in improving user expectation confirmation, perceived performance, visual attractiveness, communication quality and corporate reputation which in turn enhance satisfaction and boost digital banking user's confidence to accept artificial intelligence enabled digital banking. This study is original as it integrates expectation confirmation model with the antecedents of artificial intelligence and examines user behavior towards acceptance of artificial intelligence enabled digital banking.

Influence of Thai Street Food Quality, Price, and Involvement on Traveler Behavioral Intention: Exploring Cultural Difference (Eastern versus Western).

Introduction: Gastronomy tourism has become a phenomenal trend of the global tourism industry in the 21st century. As the tourism industry and its related foodservice businesses flourish, street food has received increasing popularity with its combination of local delights and the cultural value of the destination. This study examined the psychology of street food consumption and assessed the effect of street food quality that is represented by the cultural experience, health and safety of the food, food sensory appeal, staff service, physical environment, the meal menus with perceived reasonable prices, involvement in Thai street food, and repurchase intention from an international tourist perspective. Methods: A survey method along with a quantitative structural analysis was used. Results: The findings revealed that Thai street food quality positively and significantly predicted the international tourists' perceived reasonable prices, involvement, and repurchase decisions. Perceived reasonable prices and involvement were found to be important mediators between Thai street food quality and repurchase intentions. Moreover, this research identified the significant moderating role of Eastern and Western cultures.

Do Science and Social Science Differ? Multi-Group Analysis (MGA) of the Willingness to Continue Online Learning.

Without proper preparation by higher institutions, the COVID-19 pandemic has forced the world to rely on online learning. Even students of social science and science are looking for different knowledge and skills. Currently, both groups rely on the same method to gather knowledge for future undertakings. Given the uncertainty regarding the resolution of COVID-19, which has driven students to continue using online learning, the current study aims to identify the factors of willingness to continue online learning among social science and pure science students by extending the use of expectation-confirmation theory. Applying a purposive sampling method, 2,215 questionnaires were collected among undergraduate students from Universiti Malaysia Terengganu (UMT) using an online survey. Current study found that expectation and confirmation positively affect satisfaction. Attitude, satisfaction and readiness were found to have a positive relationship with willingness to continue online learning. Meanwhile, self-efficacy was found unsupported hypothesis for the direct effect. For multigroup analysis, readiness was found to have a significant difference between students of social science and pure science. The findings of this research enrich the literature about online learning, especially in the COVID-19 setting. Moreover, this work is useful for higher education institutions seeking to design a better strategy that allows students to return to campus.

Examining young Chinese consumers' engagement in restaurant food waste mitigation from the perspective of cultural values and information publicity.

Food waste is a serious problem with regard to social equity and environmental challenges across the world. In recent decades, a dramatic growth of restaurant food waste has been seen in China. This study integrated the norm activation model (NAM), Chinese cultural values (i.e. face saving and group conformity) and information publicity to examine young Chinese consumers' food waste behaviors in a dining-out context. By drawing data from 311 respondents from Shenyang, Northeast China, this research finds that Chinese cultural values significantly influence personal norms and food waste practices. Meanwhile, publicized information could effectively shape cultural values and food waste behaviors. This study advances our understanding of young Chinese consumers' food waste behaviors from the perspective of cultural values and information publicity, which sheds light on how to mitigate the food waste challenge for policy makers, relevant NGOs, food service providers and even individuals.

The sequential mediation model of students' willingness to continue online learning during the COVID-19 pandemic.

This study explored the factors influencing students' willingness to continue with the online learning system during the coronavirus disease 2019 (COVID-19) pandemic by adopting the stimulus-organism-response (SOR) theory. This study also incorporated e-learning readiness, performance, and satisfaction as mediators. The present study employed the purposive sampling method, whereby 2215 data of undergraduate students from a public university were gathered using an online survey and analysed using structural equation modelling (SEM) with Smart Partial Least Squares (SmartPLS). The results revealed that students' e-learning readiness, performance, and satisfaction positively influenced their willingness to continue online learning. Besides, students' e-learning readiness, performance, and satisfaction sequentially mediated the relationship between the online learning system quality and willingness to continue online learning. Significantly, this study provided new insights into the literature on students' willingness to continue online learning by providing empirical evidence on the factors that support their willingness to continue online learning during the COVID-19 pandemic.

Halal Food Performance and Its Influence on Patron Retention Process at Tourism Destination.

Muslim tourism is one of the most rapidly developing sectors in the international tourism industry. Nevertheless, halal food performance and its relationship with international Muslim traveler decision-making and behaviors have not been sufficiently examined. The present research explored the influence of halal food performance, which encompasses availability, health/nutrition, accreditation, and cleanness/safety/hygiene factors, on the Muslim traveler retention process at a non-Islamic destination. A survey methodology with a quantitative data analytic approach was employed to achieve research goals. Our findings indicated that halal food performance increased destination trust and destination attachment, which in turn influenced Muslim traveler retention. Additionally, the efficacy of the higher-order framework of halal food performance was defined. Both destination trust and attachment mediated the effect of halal food performance on retention. A halal-friendly destination image included a moderating influence on the retention process. The effectiveness of the proposed theoretical framework for explicating Muslim traveler behaviors was uncovered. This research better introduces the importance of halal food performance and its attributes for the elicitation of Muslim traveler approach responses and behaviors at a non-Islamic destination to researchers and practitioners.