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The purpose of this paper is to examine the continuance intention of Alipay by proposing an integrated model. This paper highlights how the capacity of providing context-based information to the users plays significant role in determining the continuance intention of mobile payment like Alipay.

Data are collected from 336 Alipay users from Wuhan, P.R. China. To analyze the data, the authors apply structural equation modeling approach. Also, the authors perform importance-performance map analysis (IPMA) to identify the critical factors in explaining the continuance intention of Alipay.

The results of the study reveal that confirmation and perceived usefulness significantly influence the continuance intention of Alipay through satisfaction. Also, perceived usefulness, satisfaction, context and ubiquity have direct impact on the continuance intention of Alipay through attitude. According to IPMA, perceived ease of use, confirmation and context require special managerial consideration to improve their performance.

This research has proposed and validated an integrated model by incorporating context-awareness theory and technology continuance theory. This study provides significant insights that can assist respective decision-makers to formulate/adjust their strategies related to the retention of the existing users of mobile payment like Alipay.

This study aims to integrate the perspectives offered by TAM and related models, respectively, the theory of values, to examine the impact of branded mobile shopping apps perceived value dimensions on continuance and recommendation intention.

A quantitative research was conducted online on a sample of 459 Romanian consumers to investigate how various facets of the perceived value of mobile shopping apps of some fashion brands influence continuance intention and the intention to recommend mobile apps. Sample selection implied a mixed non-probability method, convenience sampling and snowballing method, and the research hypotheses were tested using structural equation modelling (SEM) and path analysis.

This study validates significant positive relationships between perceived ubiquity, app incentive, respectively, epistemic value of branded mobile shopping apps and continuance intention, and between perceived hedonic value, social value, continuance intention and the intention to recommend branded mobile apps.

The research provides a deeper understanding of the influence played by the perceived value of mobile shopping apps on the consumer post-purchase behaviour and takes into consideration the mediating role of continuance intention for the perceived value and recommendation intention relationship.

Providing that branded applications (apps) became a new trend in mobile marketing, the purpose of this study, thus, is to explore how to promote app users’ continuance intention and purchase intention (i.e. “app continuance”) toward a specific branded app.

By integrating both goods-dominant logic (GDL) and service-dominant logic (SDL), this study uses a unifying model to examine whether perceived usefulness and task-service fit (TSF) have different effects on the two parts of app continuance. This study identifies task characteristic and four service characteristics (interactivity, presence, localization and ubiquity) as antecedents of TSF. Furthermore, psychological barriers are examined as mediators of TSF and purchase intention within SDL. Data collected from 631 users of the targeted branded apps support all of the proposed hypotheses.

The findings show that besides perceived usefulness, TSF is an essential determinant of both app continuance in the context of branded apps and a partial mediator of psychological barriers between TSF and purchase intention.

Unlike prior studies, which have focused on traditional GDL to examine continuance intention, this study incorporates SDL and the notion of psychological barriers to explore such matters. The evidence concerning the significantly higher explanatory power of the full model suggests that a deeper understanding of the antecedents of app continuance is possible when the alternative view is taken into consideration, thus providing a promising avenue for future research.

Financial technology (Fintech) brings about innovative financial services, such as the possibility of introducing mobile wealth management applications (apps) into consumers' lives. Despite the rapid development of such apps, few studies have focused on users' switching intentions from traditional wealth management services to mobile settings (apps).

Through a survey research method, a total of 378 responses were collected to examine the model. The partial least squares (PLS) technique was employed for data analysis.

To fill this research gap, this paper adopts a push-pull-mooring (PPM) theoretical framework to develop a model for exploring users' switching intentions. According to the empirical results, several push (i.e. perceived inconvenience), pull (i.e. transaction efficiency, perceived personalization and mobile wealth management scenarios) or mooring (i.e. product market expertise and affective commitment) factors are identified that significantly affect switching intention. This study provides theoretical contributions and practical implications for the existing wealth management literature and also offers future research directions.

This study innovatively extends the PPM framework to the traditional and mobile wealth management domains to understand users' switching intentions from offline wealth management services to mobile wealth management apps. The authors uncover several push, pull and mooring factors that are critical for determining users’ switching decisions.

The objective of this study was to investigate the relationship between various drivers of consumer-based brand equity (CBBE) for m-payments and to demonstrate practical relevance. The study examined the indirect relationship between m-payment drivers and satisfaction and their subsequent association with brand equity drivers in the context of m-payments.

A survey was administered to a total of 725 respondents. Structural equation modeling, SPSS AMOS and a multi-mediation model using process macros were used to analyze the primary data.

The results of this study corroborate the post-use driver (satisfaction) and trust mediates drivers of m-payments (perceived usefulness and perceived ease of use) with overall brand equity. Satisfaction and trust exert a positive influence on overall brand equity, and this research will help organizations devise strategies to retain consumers, offer loyalty schemes and brand effectively to bundle services.

Novelty was achieved in this study by extending the technology acceptance model to determine the association between m-payment drivers and satisfaction and their subsequent association with overall brand equity, thus providing practical implications.

The research examines how behavioral intentions, as a higher-order construct, indirectly affect financial inclusion through service trust, usage behavior and financial literacy in mobile money adoption.

Following the positivist research philosophy, a cross-sectional study design was used to collect data through questionnaires comprised of scales adapted from prior studies. With a usable sample size of 340 respondents, this study employs partial least squares structural equation modeling to assess the model.

The study revealed the significant indirect role of behavioral intention on financial inclusion through use behavior, behavioral intentions on use behavior through service trust, and use behavior on financial inclusion through financial literacy. The role of behavioral intentions on financial inclusion through serial mediation of service trust, use behavior and financial literacy was also found to be significant.

This study's novelty resides in examining the indirect relationship between behavioral intentions and financial inclusion, specifically via the serial mediation of service trust, use behavior and financial literacy.

Due to customers' extensive avoidance behavior, social commerce may be less successful than anticipated. This study investigates the underlying mechanism and antecedents that influence customers' avoidance of peer-generated advertisements.

Based on the general framework of avoidance behavior, we propose a theoretical model for the context of a mobile social network, with tie strength as the user-related factor and violation of shared language, advertisement relevance and information overload as contextual variables. Using survey data collected from 334 customers on WeChat, we empirically examine the research model and hypotheses.

Tie strength and advertisement relevance are negatively associated with avoidance behavior, whereas information overload and violation of shared language have significantly positive effects. Furthermore, tie strength weakens the negative relationship between violation of shared language and avoidance behavior but strengthens the positive relationship between advertisement relevance and avoidance behavior.

The findings extend understanding of advertisement avoidance behavior and can guide practitioners' improvement of advertising efficiency in mobile social networks.

With the increasing use of Internet and mobile handsets, mobile-based electronic payment apps (MEPAs) are becoming very popular around the world due to having various advantages. The intention of this exploratory study is to investigate the role/impact of selected factors in adopting three MEPAs of China: Wechat, Alipay and UnionPay based on the extended technology acceptance model (ETAM). After conducting a thorough and careful literature review, this study identified and divided seven such factors into three broad categories: (1) technological factors: perceived ease of use (PEU) and perceived usefulness (PU); (2) personal factors: perceived trust (PT), perceived privacy (PP) and perceived risk (PR); and (3) social factors: social influence (SI) and peer influence (PI) that were assumed to affect the intention to adopt MEPAs (IAMEPAs).

1,597 Chinese individuals were selected through purposive sampling technique who regularly used MEPAs at the time of collecting data. For collecting primary data from the selected respondents, a cross-sectional survey instrument was used. The study utilized IBM SPSS 25 for descriptive statistics and a second generation covariance-based structural equation modeling (CB-SEM) technique through AMOS 25 for testing the hypothesized relationships.

From statistical analysis, it was identified that five factors: PEU, PU, PT, SI and PI have significant positive impact on the dependent variable, IAMEPAs while PR and PP have insignificant influence on IAMEPAs.

This is one of the studies ever conducted to discover the factors that can have impact on the adoption of MEPAs using ETAM. It is strongly expected that this exploratory study can motivate the scholars to commence additional investigations regarding this increasingly popular financial technology (Fin-Tech). In addition, it can be anticipated that the MEPA service providers can widen their service effectiveness according to the users’ opinion reflected in this study. Furthermore, policymakers involved with Fin-Tech can also formulate and implement effective policies and guidelines based on the empirical outcomes.

The purpose of this paper is to explore the impact of selected factors in adopting mobile-based online payment platforms (MOPP) in three Asian countries: China, India and Bangladesh through the application of Technology Acceptance Model (TAM). The factors considered were: perceived trust (PT), perceived risk (PR), social influence (SI), perceived ease of use (PEU) and perceived usefulness (PU).

The authors purposively selected 1,289 individuals from those three countries who regularly use MOPP as the medium of monetary transactions. The authors utilized SPSS 24 for descriptive statistics and structural equation modeling (SEM) technique through AMOS 24 for testing the hypothesized relationships.

The authors found that four factors: PT, SI, PEU and PU have significant positive impact on the intention to adopt MOPP whereas PR has insignificant negative impact on the intention to adopt MOPP.

As per the authors' knowledge, this is the first study ever conducted to identify the factors impacting the adoption of MOPP in more than one country. Such an exploratory study can inspire the scholars to initiate further investigations as well as the service providers to extend their service effectiveness according to the users' opinion.

Much research has been conducted on technology acceptance (TA), which is mainly about the acceptance by one user. As more than one person should be involved in business-to-business TA decision-making, it is suggested that different processes for making a consensus among different stakeholders should be considered. The purpose of this study is to demonstrate a model for essential activities and characteristics of advocators for accelerating the stakeholders’ consensus in the technology acceptance (SCTA).

The conceptual model of this research is presented using a thematic analysis of the interviews with the relevant experts and existing literature. Furthermore, the structural equation model was applied for analyzing empirically how advocators’ characteristics and activities affect consensus. In total, 248 respondents completed the questionnaires. Experts’ opinions, Krippendorff’s alpha index, Cronbach’s alpha coefficient and goodness of fit indices were applied to verify the reliability of the results.

Results show that “being leader” and “being influential” are two main characteristics for the advocators’ team that significantly affect SCTA. Reducing perceived “risk” for each stakeholder, developing a “common understanding” among them and demonstrating “resource readiness” are also the main tasks of advocators leading to SCTA.

The role of advocators in SCTA has been neglected. The main contribution of this study is identifying the required advocators’ activities and characteristics for achieving SCTA.