Young Generation’s Mobile Payment Adoption Behavior: Analysis Based on an Extended UTAUT Model

The trust paradox: An exploration of consumer psychology and behavior in cross-border shopping using E-commerce mobile applications

This study explores consumer psychology and behavior in cross-border e-commerce mobile applications, with a specific focus on the interrelationships among trust, perceived risk, satisfaction, and behavioral intention. The findings emphasize the pivotal role of satisfaction as a mediating variable, which effectively mitigates uncertainty and enhances behavioral intention within the cross-border shopping context. Furthermore, the research identifies a "trust-risk paradox," wherein increased trust does not invariably lead to a reduction in perceived risk, thereby challenging conventional theoretical assumptions. While perceived risk exhibits a limited direct influence on behavioral intention, its substantial indirect effect through satisfaction underscores the intricate nature of consumer decision-making processes. Utilizing empirical data from Taiwanese consumers, this study provides critical insights into the structural relationships among these constructs, offering both practical implications for CBEC platform strategies and contributions to theoretical development. By investigating the dynamic interactions in cross-border consumer behavior, this research advances the understanding of high-uncertainty markets and establishes a solid foundation for future scholarly inquiry.

Factors influencing the adoption intention of using mobile financial service during the COVID-19 pandemic: the role of FinTech

Access to financial services is regarded as one of the most pressing issues confronting communities worldwide sequel to the COVID-19 pandemic. In this regard, FinTech applications such as mobile financial service (MFS) play an essential role in building resilience during the pandemic. Hence, the aim of the study is to investigate the role of MFS platforms in economic resilience by empirically evaluating the determinants that influence the intention of Bangladeshi users toward adopting MFS platforms during the COVID-19 pandemic, through an extension of the Unified Theory of Acceptance and Use of Technology (UTAUT). Using the core structures of the UTAUT, the theoretical model was constructed based on the consumption attributes of financial services such as perceived value, as well as additional situational factors from the extended valence framework, including risk and trust. To test the model, data was obtained from 227 potential MFS users in Bangladesh with the aid of a structured questionnaire survey. Subsequently, the Structural Equation Modeling (SEM) approach was used to analyze the data. The findings showed that social influence, perceived trust, and perceived value are strongly related to the intention of users to adopt MFS platforms, whereas, perceived risk, performance expectancy, and effort expectancy were observed to influence users' perceived value of the MFS platforms during the COVID-19 pandemic. Interestingly, the study results indicated that the users' perceived risk did not influence their intention to adopt MFS platforms during the pandemic. Therefore, the suggested adoption of the MFS framework during and after the pandemic could contribute to the existing research on the adoption of information technology (IT) through the expansion of the UTAUT, in which the performance and effort expectancy of users influence their intention to indirectly adopt MFS through perceived value. Finally, the significant policy implications and future research directions are further addressed.

The Effect of the COVID-19 Pandemic on the Mobile Messaging Application Among Millennials in Public Universities in Malaysia

Mobile messaging apps are currently a popular method in Malaysia for communicating while on the go, owing to its convenience, reliability, and contact-free feature of mobile application. Fueled by mobile internet and smartphone growth, mobile messaging apps have become a strong force in the mobile app sector, offering users an alternative to SMS-based texting paired with social media elements and enhanced features, such as group chats and photo sharing. The study was anchored using the unified theory of acceptance and use of technology 2 theory. A survey with 150 respondents and PLS analysis is used to determine the antecedents of mobile application continuance usage during the COVID-19 pandemic. The results revealed that there is an influence in the usage of mobile messaging apps among the younger generation in Malaysian public university students during the COVID-19 pandemic. The main implication shows that mobile application among young generations in public universities has become popular. The convenience usage of the internet has turned the world into a global village.

Can Mobile Payment Increase Household Income and Mitigate the Lower Income Condition Caused by Health Risks? Evidence from Rural China

China has moved into a new stage of its fight against poverty, where the further raising of rural household income is of great importance. Health risk is one of the biggest obstacles to the poverty reduction progress. Therefore, how to cope with the negative effects of health risks has attracted the attention of scholars, especially in the background of the global outbreak of COVID-19. In this paper, we try to explore whether mobile payment, a new form of payment, can improve the income of rural households and mitigate the lower income condition caused by health risks in China. Using data from the 2017 China Household Finance Survey, we found: (1) mobile payment can substantially increase rural household income; (2) health risks will lower the income of rural residents, but mobile payment can lessen this negative effect. Mechanism analysis indicates that mobile payment is likely to ease liquidity constraints, increase social interaction, and stimulate entrepreneurship for rural households. We advised the government to promote mobile payment adoption in rural areas and enhance its design. Additionally, better medical resources should also be made available to rural households.

Understanding the key drivers in using mobile payment among Generation Z

Purpose

This quantitative study aims to examine the determinants that impact the behavioral intention to use mobile payment (m-payment) among Generation Z (Gen Z) customers in Indonesia.

Design/methodology/approach

The theoretical model comprises seven latent variables: effort expectancy, performance expectancy, social influence, facilitating conditions, promotional activities, perceived security and behavioral intention. In addition, the two moderating factors of education and gender are used to investigate the significant effect of the determinants on intention to adopt m-payment. This study obtained the final data size of 430 respondents. The data analysis is conducted using structural equation modeling.

Findings

The results substantiate the significance of promotional activities, perceived security, performance expectancy, effort expectancy and social influence, on the behavioral intention to accept m-payment systems. Gender is revealed to significantly moderate two constructs: social influence and promotional activities, on the m-payment usage intention. Meanwhile, education moderates the effect of perceived security on behavioral intention.

Originality/value

This research is expected to fill the gap because only a few studies discuss the determinants affecting m-payment usage in Indonesia, especially among Gen Z-ers. Furthermore, the new findings associated with the role of two moderating factors become important practical implications because most of the prior studies often ignore the moderating factors.

Promoting habitual mobile payment usage via the Thai government's 50:50 co-payment scheme

The Thai government launched an economic stimulus initiative using mobile payments (m-payments) to alleviate the economic and public health effects of the COVID-19 outbreak. The advantages of this program and the simplicity, dependability, and contact-free nature of m-payments have led to its widespread adoption in Thailand. Many Thai individuals have never used the m-payment method before. Hence, the aim of this study was to investigate at potential factors that encourage frequent m-payment usage with an emphasis on user attitudes and continual usage intentions. The technology acceptance model and the mental accounting theory were used in this study to analyse 506 respondents who had completed a questionnaire survey. According to the structural equation modeling analysis of the survey data, Thai peoples' desire to take part in the government's co-payment program is most influenced by enjoyment, financial benefits, ease of use, health benefits, and situational factors. Surveyed participants particularly liked utilizing m-payment to benefit from the 50% rebate on full-priced goods and services. It was found that a positive attitude toward m-payment use alone is insufficient to promote long-term adoption of contactless payment technology. However, prolonged reliance on the m-payment system was shown to increase the likelihood of habitual usage.

Exploring Factors of the Willingness to Accept AI-Assisted Learning Environments: An Empirical Investigation Based on the UTAUT Model and Perceived Risk Theory

Artificial intelligence (AI) technology has been widely applied in many fields. AI-assisted learning environments have been implemented in classrooms to facilitate the innovation of pedagogical models. However, college students' willingness to accept (WTA) AI-assisted learning environments has been ignored. Exploring the factors that influence college students' willingness to use AI can promote AI technology application in higher education. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and the theory of perceived risk, this study identified six factors that influence students' willingness to use AI to analyze their relationships with WTA AI-assisted learning environments. A model including six hypotheses was constructed to test the factors affecting students' WTA. The results indicated that college students showed "weak rejection" of the construction of AI-assisted learning environments. Effort expectancy (EE), performance expectancy (PE), and social influence (SI) were all positively related to college students' WTA AI-assisted learning environments. Psychological risk (PR) significantly negatively influenced students' WTA. The findings of this study will be helpful for carrying out risk communication, which can promote the construction of AI-assisted learning environments.

Factors Influencing Residents' Behavior in Internet Recycling: From the Perspective of the Adoption of New Technology

Achieving carbon neutrality has become a major national strategy for sustainability, and the recycling of recyclable resources is an important direction toward doing so. Due to the huge amounts of recyclable resources generated every year and the low recycling rate, a new Internet recycling model with great potential to increase the recycling rate has developed rapidly in China. However, low participation from residents hinders the sustainable development of Internet recycling. Through this study, we aim to uncover potential avenues for improving Internet recycling behavior. The factors influencing Internet recycling from the perspective of new technologies have scarcely been investigated. Therefore, this study used the Unified Theory of Acceptance and Use of Technology theoretical framework to explore the factors influencing residents’ intentions and behavior toward Internet recycling. A questionnaire survey was conducted with 500 residents of Beijing, China, and empirical analysis was conducted using the structural equation model. The results indicated that social influence and performance expectancy significantly influence residents’ intentions to participate in Internet recycling, whereas effort expectancy and perceived risk do not. Facilitating conditions and behavioral intentions were identified as influential factors for use behavior. Relevant recommendations for promoting residents’ Internet recycling behavior were proposed.

Predicting the Intention and Adoption of Near Field Communication Mobile Payment

With the increasing use of mobile devices and new technologies, electronic payments, such as near field communication (NFC) mobile payments, are gaining traction and gradually replacing the currency-based cash payment methods. Despite multiple initiatives by various parties to encourage mobile payments, adoption rates in developing countries have remained low. The purpose of this research is to explore the prime determinants of NFC mobile-payment adoption intention and to develop a model of mobile payment adoption that includes perceived risk (PR) as one of the major elements by extending the UTAUT2 theory components. An online survey was used to acquire data from 370 NFC mobile payments users for the current study. To validate the components and their correlations, structural equation modelling (SEM) was implemented. According to the findings, performance expectancy (PE), hedonic motivation (HM), social influence (SI), and facilitating conditions (FC) have substantial impacts on the consumers' intentions to adopt NFC mobile payments (INFC). Effort expectancy (EE) and PR were reported to have no considerable effects on the adoption intention. In addition, INFC is revealed to be a major mediator between the associations of the actual adoption of NFC mobile payment (ANFC) with PE, HM, and SI. The findings of the study would assist providers and marketers in better understanding of the consumers' behavior, designing effective marketing strategies to enhance the consumers' positive intentions, and achieving the mass adoption of NFC mobile payments in different environmental contexts.

Assessing the Adoption of Mobile Technology for Commerce by Generation Z

E-commerce has gained momentum with the rapid development of technology, and nowadays, we are permanently connected, with constant access to information and a wide range of products. Not only does a desktop computer offer us this possibility, but the latest-generation tablets and mobile phones create a broad framework. This paper investigates Romanian consumers’ attitudes towards adopting mobile technology for commerce (m-commerce), taking into account its development in the last few years, especially among younger generations. The main objectives of the research are to identify the preference for m-commerce use among Generation Z, establish the ways and the devices used by Gen Z individuals to inform about the products and services and order them, and analyze the factors influencing the use of m-commerce applications. The research methodology consists of conducting an empirical analysis using a distributed survey among youngsters from Generation Z in Romania. We used descriptive statistics, such as the analysis of frequency and the mean of variables, artificial neural network analysis (ANN), and multivariate analysis of variance (MANOVA), to validate the hypotheses. The research results indicate a solid inclination for m-commerce among Generation Z. The results are helpful for companies that can shape their marketing strategies to boost their sales using m-commerce channels among the younger population.

Factors affecting consumer acceptance of electronic cash in China: an empirical study

This paper proposes and validates a comprehensive model of consumer acceptance in the context of offline e-cash payment. It modifies the unified theory of acceptance and the use of technology model (UTAUT) with constructs of perceived security, cost of use, and government policy. Data collected from 4428 questionnaires about users' attitudes toward e-cash is used to apply a structural equation model which, in turn, assesses the predictive model. The empirical results indicate that perceived security and cost of use are beneficial extensions to the traditional UTAUT model, and intention is a key antecedent to users' actual utilization of e-cash. In addition, the demographic moderators are found to have significant effects on the relations among the variables. These results are useful to e-cash development and significant to the issue of Digital Currency Electronic Payment.

Human Resource Professionals' Intention to Use and Actual Use of Human Resource Information Systems

Human resource information systems (HRISs) are widely used and have a strategic impact on organizations. The fundamental objective of this paper is to reveal the predominant antecedents affecting their adoption and implementation by replicating the unified theory of acceptance and use of technology (UTAUT) model from a South Asian emergent country perspective. The study collected data from human resource professionals employed in manufacturing and service companies located in Bangladesh, which were analyzed by employing partial least squares-based structural equation modeling software. It was revealed that performance expectancy, social pressure, and facilitation conditions significantly influence the intention to use and the actual use of HRIS, but that user’s effort expectancy had no significant impact. The study contributes by enriching the previous findings and validating the results based on relevant literature. Furthermore, managerial implications, the limitations of the study and suggested future study directions are presented.

Understanding FinTech Platform Adoption: Impacts of Perceived Value and Perceived Risk

FinTech platforms are one of the most important elements in the rapidly digitized world’s economy. This study investigates the factors that affected individuals’ acceptance of FinTech services, especially on internet wealth management platforms. The current research extends the unified theory of acceptance and use of technology (UTAUT) published by MIS Quarterly with integrated financial consumption attributes (i.e., perceived value and perceived risk) alongside the core construct of UTAUT. Data were collected from an established survey company. The empirical results indicate that perceived value, perceived risk, and social influence are strongly related to individuals’ FinTech adoption intention, whereas performance expectancy, effort expectancy, and perceived risk affect individuals’ perceived value, which in turn influences adoption intention. The proposed FinTech adoption model could contribute to information technology (IT) adoption research by extending the UTAUT in which individuals’ performance expectancy and effort expectancy affect their adoption intention indirectly through perceived value. Finally, the implications of the proposed new model for future research and FinTech practice are discussed.

Determinants of the Intention to Use Cross-Border Mobile Payments in Korea among Chinese Tourists: An Integrated Perspective of UTAUT2 with TTF and ITM

With the acceleration of global economic integration and digital economy, cross-border mobile payment has gained growing attention. On the other hand, as COVID-19 keeps on spreading, the popularization of cross-border mobile payment can lower the risk of infection caused by cash payment of tourists. However, though previous researchers already examined mobile payment users’ behavioral intention from different perspectives, these research findings tend to concentrate on the non-cross-border section of mobile payment. Therefore, the purpose of this research is to examine factors influencing cross-border mobile payment use intention from the user perspective, and combining three theoretical models, chiefly UTAUT2 (extended unified theory of acceptance and use of technology), ITM (initial trust model), and TTF (task technology fit). In this research, 786 Chinese with the experience of using cross-border mobile payment while traveling to South Korea are adopted as respondents, and the structural equation model is used to empirically analyze the data of these research samples. The study found that initial trust, performance expectancy, effort expectancy, facilitating conditions, price value, task technology fit, and initial trust have significant effects on use intention. Research findings of this paper can deepen people’s understanding of users’ intention to use cross-border mobile payment, and provide theoretical support for the development of cross-border mobile payment.

Factors Determining the Behavioral Intention of Using Food Delivery Apps during COVID-19 Pandemics

The purpose of this study was to investigate the factors determining the behavioral intention of using food delivery apps (FDAs) during COVID-19 pandemics, under a case study of Bangkok, Thailand. The study was necessitated by the increased use of FDAs during the lockdown; online transactions were considered important in preventing the spread of the virus. The study used quantitative techniques involving structural equation model (SEM) to evaluate the effects of exogenous variables on endogenous variables. Primary data were collected from people who had installed and used FDAs. The findings indicated that performance expectancy, effort expectancy, social influence, timeliness, task technology fit, perceived trust, and perceived safety significantly influence the behavioral intention to use (BIU) to use food delivery apps during the COVID-19 pandemic. To this end, effort should be intensified to study and understand FDAs as it pertains to safety and usage.