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With the emergence of coronavirus disease 2019 (COVID-19), the usage of e-money has been reinforced to reach the next level. Therefore, this study aims to examine the mediating role of perceived behavioral control (PBC) on the nexus of customers' innovativeness and continuance intention of electronic money (e-money). This study also explores the moderating roles of perceived risk (PR) and electronic security (e-security) in relationships.

The authors employed a structured questionnaire for data collection and the partial least squares structural equation modeling (PLS-SEM) for empirical estimations.

The authors' findings reveal that customers' innovativeness promotes continuance intention of using e-money and demonstrate that PBC partially mediates the relation between customers' innovativeness and continuance intention of using e-money. The empirical findings also reveal that PR negatively moderates the relationship between customers' innovativeness and continuance intention and the relationship between customers' innovativeness and PBC. The empirical findings also exhibit that perceived e-security enhances the degree of the relationship between customers' innovativeness and continuance intention and the relationship between customers' innovativeness and PBC.

The findings shed light on an important factor that increases the likelihood of repeat e-money usage and has direct managerial implications for customer experience and risk concerns. Hence, the findings imply that e-money service providers should run a promotional advertisement highlighting what additional features are included or offered and how these could be beneficial for the customers. Furthermore, e-money service providers should provide some tutorial videos in order to increase innovative customers' control over e-money services as well as highlight how risk and security are protected.

This paper integrates three key theories: the diffusion of innovation (DOI) theory, the theory of planned behavior (TPB) and the PR theory in post-adoption behavior of e-money usage. The current study also attempts to fill a literature gap by examining the moderating role of PR and e-security, which could be useful within the relationship between customers' innovativeness, PBC and customers' continued intentions of e-money usage.

Given the growing importance of e‐coupons as promotional devices, predicting consumers' e‐coupons redemption intention is essential to the evaluation of this promotion strategy. This paper aims to address this issue. An extended theory of planned behavior (TPB) research model which further includes consumers' e‐coupon proneness as a mediator is built in this study to predict consumers' usage intentions of e‐coupons.

This research collected research data on a questionnaire collection web site, because most e‐coupon users are also internet surfers. There were 626 valid surveys returned as the data input for structural equation model (SEM) analysis.

The results from this empirical study reveal that failure to include e‐coupon proneness as a mediator in the extended TPB model can lead to an inability to explain consumers' usage intentions of e‐coupons well. Moreover, given such a totally new environment, the direct influences of consumers' perceived behavioral control of using e‐coupons and consumers' past behavior of using e‐coupons are strong predictors and cannot be ignored.

The main limitation of this study is that the measures of the independent and dependent variables in the present study are based on self‐reported methods. It is likely that the relationships among some of the variables may be somewhat inflated, and a common method variance must be considered.

The empirical results and findings from this study are helpful to online marketers if they can identify those consumers who have e‐coupon proneness and tailor the promotion campaigns to these consumers, raising the e‐coupon redemption intentions.

To the best of the authors' knowledge, this study is among the first to provide analytical insight into e‐coupon usage intention with e‐coupon proneness as a mediator by building an extended TPB model in computer‐mediated environments.

This paper aims to explore factors impacting wearable fitness tracking (WFT) device continued usage intention from perspectives of technology attributes (autonomy benefits), health attributes (self-health management benefits, diet-control benefits and health self-efficacy), and consumer attributes (age, gender, technological innovativeness, symbolic benefits, social benefits and hedonic benefits).

The study integrates constructs from the technology acceptance theories and the health promotion model to develop the research model and hypothesis. The empirical analysis was conducted using data from 217 respondents from India. Logistic regression was used to identify factors that discriminate between groups with low and high continued usage intentions.

Results indicate higher continued usage intention for WFT devices is driven by perceived benefits-health, autonomy, social and hedonic, and individual characteristics-technological innovativeness and perceived health self-efficacy. Further, perceived symbolic benefits, diet control benefits, age, and gender does not discriminate between the groups with low and high continued usage intentions.

The results may be limited to the context of the sample and the factors considered. The study suggests future research areas.

The paper offers insights for marketers, governments, insurance firms, and related healthcare services on promoting higher usage of WFT devices to yield dual benefits of preventive healthcare and higher profitability.

The study extends existing research by examining factors across consumer, health, and technological domains in a single framework and adds to the limited research in the context of usage of WFT devices in developing countries.

TikTok social media app has become one of the most popular forms of leisure and entertainment activities, but how hedonic consumption experiences (comprising fantasy, escapism, enjoyment, role projection, sensory, arousal and emotional involvement) of the TikTok app determine users' intention to use the app and its resulting impact on the actual usage behavior remains limited in the information systems literature, especially featuring the hedonic consumption perspective in entertainment industry.

This study employs uses & gratification theory to answer the “why” via predicting the role of hedonic consumption experiences that serve as gratifications to trigger technology acceptance behavior (especially, in form of users' behavioral intention to use the TikTok app and its further impact on usage behavior). This study utilizes the partial least squares-structural equation modeling approach to perform data analyses on 258 TikTok app users.

Our results provide a strong support such that users' playful consumption experiences (i.e. escapism, role projection, arousal, sensory experience and enjoyment) positively influence their intention to use the TikTok app and its resultant effect on users' actual usage of the app. In contrast, fantasy and emotional involvement fail to influence users' intention to use the TikTok app.

To the best of our knowledge, our investigation is one of the first studies to apply the hedonic consumption experiences as potential gratifications that derive users' intention and its subsequent influence on the actual usage of the TikTok app. Our study results would assist marketing and brand managers to redefine approaches and tactics to create effective strategies that implement essential determinants to increase behavioral intention among entertainment service providers.

The purpose of this study is to develop a model that explains a user’s attitude toward M-payments in India, based on the motivational model and awareness about demonetization policy. The study also investigates the validity and differential predictive power of four different M-payment usage models, by considering the effect of improved awareness regarding demonetization policy on the core construct of the motivational model.

The model was tested with survey data from 362 M-payment users using partial least squares. Respondents were M-payment users with significant usage experience.

This study empirically determined that the motivation model and awareness about demonetization policy in M-payment usage after demonetization are connected. As hypothesized, the study found: a positive relationship between extrinsic motivation and intention to use M-payment, positive relationship between awareness about demonetization policy and behavioral intention to use M-payment, positive relationship between intrinsic motivation and extrinsic motivation, positive relationship between awareness about demonetization policy and extrinsic motivation and positive moderation effect of awareness about demonetization policy on the extrinsic motivation-behavioral intention relationships. The hypothesis that awareness about demonetization policy would have a moderating effect on intrinsic motivation–behavioral intention relationship was not supported.

From a practitioner’s perspective, this study underscores the importance of raising sufficient awareness about the demonetization policy as a determinant of users’ willingness to use M-payment services. Mandatory regulations by the government and motivation toward M-payment use can be a good starting point for a cashless economy.

This study makes a needed contribution to the literature by validating the integrated motivation model, emphasizing the importance of raising awareness about the demonetization policy among M-payment users. The model may provide a useful foundation for future research in this area.

This paper aims to identify and empirically validate the various factors for adoption, usage and intention to recommend e-pharmacy for purchasing medications by consumers.

Based on constructs from well-established theoretical models, the technology acceptance model, extended unified theory of acceptance and use of technology and self-determination theory, a model was proposed for the study. The model was validated with a sample size of 184 respondents using partial least squares method and factor analysis to establish and validate relationships among the various identified constructs.

The results show that performance expectancy, effort expectancy, social influence and hedonic motivation have a positive co-relation with adoption of e-pharmacy and the intention to recommend. The results depict that gender and educational background have no correlation toward adoption and intention to recommend e-pharmacies for purchasing medicines in India.

This research comes along with a geographic limitation of the sample size. The research was conducted in an urban suburb city of Bengaluru, India.

At an academic level, this research will provide interesting insights for exploring adoption and usage intention of consumers toward e-pharmacy. At a managerial level, this empirically supported study will provide insights into the relationship among the various constructs and the consumers’ motivation toward adoption and usage intention of e-pharmacy.

This research is the first of its form which uses constructs from the technology acceptance model, extended unified theory of acceptance and use of technology and self-determination theory in the online healthcare space to understand consumer usage behavior.

Mobile commerce is a broad term used for mobile banking, mobile ticketing, mobile coupons, purchasing of goods and services using mobile phones. Considering mobile penetration and changing lifestyles of the Indian population, it has huge potential. The purpose of this paper is to investigate the factors influencing the adoption intention of mobile commerce.

For the study, a research model was developed based on constructs from the technology acceptance model and innovation resistance theory and a literature review on research related to usage intention of similar technologies which was then empirically tested using second generation statistical technique of SEM.

Perceived usefulness, perceived ease of use and social influence are found to be significant dimensions of technology adoption readiness to use mobile commerce while facilitating conditions were not found to be significant. The results also indicate perceived credibility risk defined by security risk and privacy risk is significantly associated with behavioural intention in negative relation, which indicates that security and privacy concerns are important in deterring customers from using mobile commerce.

This study proposed and validated a new construct – technology adoption readiness. The study developed an integrated model for behavioural intention towards financial innovations.

Knowing the factors affecting customers' behaviour towards mobile commerce and the relationship between these factors, various banks, merchants and mobile service providers can develop their marketing strategies to ensure that people use this new service. This in turn will influence the behavioural intention and change these intentions to actual adoption of this new technology.

This study is one of the few empirical studies which have investigated the adoption of mobile commerce in India, which is considered one of the fastest growing countries in terms of mobile usage. The study relates to inclusion of both utilitarian and credibility aspect of adoption intention. It gives an empirical basis on which mobile and banking companies can base their mobile payments marketing strategy.

The discontinuous usage behavior of short video social media presents an ongoing challenge to platform development. The purpose of this study is to investigate the antecedents of intentions to short media discontinuous usage.

This study adopts a Cognition–Affection–Conation (CAC) framework to analyze short video social media discontinuous intention on the basis of cognitive dissonance theory (CDT) and self-efficacy theory. The empirical evaluation of the research model was conducted using SmartPLS 2.0 and was based on questionnaire data obtained from participants in China.

The results show information overload and user addiction have a significant positive association with cognitive dissonance, which is, in turn, found to significantly impact discontinuous usage intention. Self-efficacy moderates the relationships between information overload, user addiction, cognitive dissonance and discontinuous usage.

This study contributes to the understanding of the factors that influence short video discontinuous usage intention and it achieves this by engaging from a CDT perspective and by applying Self-Efficacy Theory. Theoretical implications for future short video platform research, as well as practical suggestions for short video platform operators and users, are also discussed.

Mobile phone payment is a significant advancement in e-commerce and retailing. This study aims to look at the influencing factors for the attainment or letdown of mobile payment systems (MPS). The coping theory (CP) and innovation resistance theory (IRT) components were applied in the tourism sector.

The data were gathered from 402 tourists who utilized MPS for the first time to book their vacation. In a longitudinal study, an online questionnaire was used to contact clients of several travel businesses to predict their intentions and behavior. Covariance-based structure equation modeling (CB-SEM) was applied using IBM-SPSS AMOS to analyze the data.

CP factors provided highly thought-provoking results, calling into question several apparent beliefs. At the same time, the relationships covering the aspects of the IRT were supported. It has also been found that intentions are a valid predictor of behavior.

The study's findings can be used by governments, media houses, hotels and travel and tourism agencies, particularly in developing countries like Malaysia.

This study adds to the existing literature by offering a complete model that demonstrates the influence of conceptualizations utilized from the most robust theories connected to technology toward MPS for trip reservations from the perspective of developing countries. Importantly, this study measures the consumers' continuous buying behavior by employing a longitudinal research design.

The purpose of the study is to develop a structural and a predictive model of the future purchase behavior of the consumers from value, quality and satisfaction and also finding the role of consumer loyalty in the above-mentioned model.

Based on survey and purchase data of a sample of 235 respondents, the authors have used structural equation modeling to develop a structural model and three-stage least square regression to develop and validate the predictive model.

In the structural model, the authors found that perceived service quality and network quality leads to customer satisfaction which also leads to loyalty intentions. However, neither past purchase behavior nor loyalty has significant predictive power to predict future usage. But the interaction effect of loyalty and past purchase predicts future purchase significantly.

The study went beyond structural model and developed a behavioral predictive model which can overcome self-reporting bias. Also, the study focused on the moderating role of loyalty in predicting future purchase quantity, thus contributing toward the theoretical understanding of the effects of loyalty.

Other than providing a forecasting model, the study helps the service managers to understand the importance of the relational constructs than the tangible constructs. Moreover, it also suggests optimally target the big buyers through the loyalty programs to ensure higher future revenues.

The study provides new insight on the impact of loyalty intention of consumer’s purchase behavior and shows the boundary conditions of predictive power of loyalty intention and past purchase on future purchase. Moreover, this is one of the very few studies that have focused on these relationships in Indian context.