Investigation of Consumer Intention toward Online Shopping During Covid-19 Pandemic

This study aims to explore the factors affecting the consumer intention toward online shopping during the Covid-19 pandemic, by examining 8 factors, the Perceived Lack of Alternatives, Perceived External Pressure, and Perceived Controlled Behavior on consumer Intention, and Perceived Usefulness, Perceived Ease of Use, Perceived Risk and Subjective Norm on consumer intention with a mediating effect of consumer Attitude. Online questionnaire had been built to evaluate all variables in the conceptual model, and snowball sampling technique had been applied. A total of 817 participants has responded to the questionnaire, all from Jordan with a mix of different educational backgrounds, ages, gender, marital status and financial income. Confirmatory factor analysis, multi-regression and path analysis was run using AMOS 26.0, and frequencies statistics has been done using SPSS 26.0. This study data analysis revealed that Perceived Lack of Alternatives and Perceived External Pressure has no significant impact on consumer intention, whereas Perceived controlled behavior found to have a significant influence on consumer intention. The results also revealed that Perceived Usefulness, Perceived Ease of Use, Perceived Risk and Subjective Norm has significant influence on consumer intention with a mediating effect of consumer Attitude. Understanding consumer behavior during Covid-19 could reveal insights for customers’ intention toward online shopping after the pandemic. This research has developed an integrated model to show the factors that determine the customers’ intention for online shopping. These factors can help the retailers to adopt the new norm of life after the Covid-19 pandemic and allocate investments to transform their traditional business models and switch to online shopping platforms

A Comparative Study of Current and Potential Users of Mobile Payment Services

Previous studies of mobile payment (m-payment) services have primarily focused on a single group of adopters. This study identifies the factors that influence an individual’s intention to use m-payment services and compares groups of current users (adopters) with potential users (non-adopters). A research model that reflects the behavioral intention to use m-payment services is developed and empirically tested using structural equation modeling on a data set consisting of 529 potential users and 256 current users of m-payment services in Thailand. The results show that the factors that influence current users’ intentions to use m-payment services are compatibility, subjective norms, perceived trust, and perceived cost. Subjective norms, compatibility, ease of use, and perceived risk influenced potential users’ intentions to use m-payment. Subjective norms and perceived risk had a stronger influence on potential users, while perceived cost had a stronger influence on current users, in terms of their intentions to use m-payment services. Discussions, limitations, and recommendations for future research are addressed

Go Digital! Determinants of Continuance Usage of Mobile Payment Apps: Focusing on the Mediating Role of Gamification

Background: COVID-19 spread over the last two years has been instrumental in shifting physical banking transactions to mobile-based banking transactions. Recently, M-payments have dominated online and point-of-sale (POS) transactions in the Asia-pacific region. Therefore, there was a need to study the factors influencing M-payments. This research has been conducted to determine the significant factors influencing the usage and continuance usage of M-payment apps in an emerging country and particularly how gamified features enhance the usage of M-payments apps.is study is based on the perspectives of the Unified theory of acceptance and use of technology (UTAUT2) and information system success (ISS) theory, and it adds three new determinants—trust, gamified features, and continued use of mobile payments to better explain and forecast users\u27 behavioral intentions and continued use of mobile payment applications (M-payments apps). Method: The research has employed two studies on sample data from young users of M-payment apps (n=898), the dataset was analyzed through structural equation modelling for mediation and moderation analysis in study one. The second study was grounded through Vignette experiments to analyze the effects of the degree of gamified features on the continued usage of M-payments. Results: The results reported that behavioral intention to adopt, and usage of mobile payments are significantly mediated by gamified features and gamified features are partially mediating continuance usage of M-payments. Trust is the key to enabling continuance usage amongst the users of M-payments. These findings extend the understanding of users’ continuance intention in the context of payments apps. Conclusion: This study would be helpful in presenting insights for the M-payments service providers and the associated banks to develop strategy for the continuance usage of mobile payment apps

Security Risk Tolerance in Mobile Payment: A Trade-off Framework

Security is identified as a major barrier for consumers in adopting mobile payment. Although existing literature has incorporated security into the Technology Acceptance Model (TAM), the Unified Theory of Acceptance, and the Use of Technology (UTAUT) and it has investigated the way in which security affects consumers’ acceptance of mobile payment, security is a factor only in diverse research models. Studies of mobile payment that focus on security are not available. Additionally, previous studies of mobile payment are based on Direct Carrier Billing- (DCB)-based mobile payment or Near Field Communication- (NFC)-based mobile payment. The results regarding security might not be applicable to Quick Response (QR) code-based mobile payment, the format that has become prevalent in recent years. As such, this study focuses on security of using mobile payment and develops a benefit-cost appraisal and a trade-off framework by integrating the Theory of Reasoned Action (TRA), the Theory of Planned Behavior (TPB), the Protection Motivation Theory (PMT), and the Rational Choice Theory (RCT). Particularly, this study introduces security risk tolerance into mobile payment study and sets it as the dependent variable. This study proposes that consumers’ security risk tolerance is shaped by their benefit-cost appraisal and their tradeoff process, regarding the use of mobile payment. Based on an online survey that collected data from 324 respondents in China, this study empirically tests and validates the research model. The findings suggest that consumers’ perceived benefit in using mobile payment is positively related to their security risk tolerance, whereas their perceived cost of using mobile payment is negatively related to their security risk tolerance. Convenience, safety, and savings positively affect consumers’ perceived benefit. The security threat positively affects consumers’ perceived cost. Payment tradition moderates consumers’ benefit-cost appraisal and trade-off process, but normative beliefs do not have a significant moderating effect. Self-efficacy only moderates the relationship between consumers’ perceived cost and their security risk tolerance. This study finds that males and females complete their benefit-cost appraisal and their trade-off process regarding security of using mobile payment very similarly. Gender differences only exist in the relationship between savings and consumers’ perceived benefit of using mobile payment