Determinants of behavioral intention to mobile banking

With the improvement of mobile technologies and devices, banking users are able to conduct banking services at anyplace and at anytime. Recently, many banks in the world have provided mobile access to financial information. The reason to understand what factors contribute to users’ intention to use mobile banking is important issue of research. The purpose of this research is to examine and validate determinants of users’ intention to mobile banking. This research used a structural equation modeling (SEM) to test the causalities in the proposed model.The results indicated strong support for the validity of proposed model with 72.2% of the variance in behavioral intention to mobile banking. This study found that self-efficiency was the strongest antecedent of perceived ease-of-use, which directly and indirectly affected behavioral intention through perceived usefulness in mobile banking. Structural assurances are the strongest antecedent of trust, which could increase behavioral intention of mobile banking. This research verified the effect of perceived usefulness, trust and perceived ease-of-use on behavioral intention in mobile banking. The results have several implications for mobile banking managers.     

Understanding users’ initial trust in mobile banking: An elaboration likelihood perspective

Due to the high perceived risk, building users’ initial trust is crucial to facilitating their adoption and usage of mobile banking. Drawing on the elaboration likelihood model (ELM), this research examined users’ initial trust in mobile banking. The results indicated that initial trust develops along a dual route including the central route and peripheral route. Self-efficacy as the elaboration likelihood moderates the effects of central cues and peripheral cues on initial trust. Central cues include information quality and service quality, whereas peripheral cues include system quality, structural assurance and reputation. The results imply that service providers need to employ differentiated strategies to build users’ initial trust in mobile banking.     

Examining mobile banking user adoption from the perspectives of trust and flow experience

Due to the high perceived risk and poor experience associated with using mobile banking, it is critical for service providers to build users’ trust and improve their experience. Integrating both perspectives of trust and flow experience, this research examined the factors affecting mobile banking user adoption. The results indicate that structural assurance is the main factor affecting trust, whereas ubiquity and perceived ease of use are the main factors affecting flow experience. Trust has a significant effect on flow experience, and both factors determine usage intention, which in turn affects actual usage. Thus mobile service providers need to concern both trust and flow experience to facilitate user adoption and usage of mobile banking services.     

An analysis of the relationship between quality and user acceptance in smartphone apps

This study investigates consumer intentions within the smartphone app environment. More specifically, it studies the factors influencing the intention to use banking apps based on the smartphone by employing the information system success model and a revised technology acceptance model. The study examines how quality factors and attitudes toward mobile apps-based banking influence the intention to use banking apps, and whether trust influences the relationship between quality factors and intention to use. In it, we collect data from 520 users and estimate the structural model. The results indicate that attitudes to mobile apps-based banking, as well as information and service quality, affect consumers’ intention to use banking apps. We further confirm that three particular quality factors, moderated by trust, affect the intention to use these apps. This study helps to explain consumers’ mobile apps-based banking behaviours, by combining the information system success model with a technology acceptance model.     

User‐centric trust and reputation model for personal and trusted service selection

Improving quality of services (QoS) through applying trust and reputation management technology is increasingly popular in the literature and industry. Most existing trust and reputation systems calculate a general trust value or vector based on the gathered feedback without regard to trust's locality and subjectivity; therefore, they cannot effectively support a personal selection with consumer preferences. Our goal is to build a trust and reputation mechanism for facilitating a trustworthy and personal service selection in a service‐oriented Web, where service peers can act as a service provider and/or a service consumer. A user‐centric trust and reputation mechanism distinguishing the different trust context and content to enable a personal service selection with regard to trust preference in a service‐oriented Web is represented in detail. It is widely recognized that reputation‐based trust methods must face the challenge of malicious behaviors. To deal with the malicious feedback behaviors, we introduce a “bidirectional'' feedback mechanism based on QoS experience similarity in our trust and reputation framework. The test run demonstrates that our method can significantly increase the success rate of service transactions and is effective in resisting various malicious behaviors of service peers, when it is compared to other similar methods. © 2011 Wiley Periodicals, Inc.     

A weight and a meta-analysis on mobile banking acceptance research

Following the globalization of business and systems, there is a pressing need to understand the main factors affecting mobile banking user acceptance. The increasing number of mobile banking studies and articles published in the last years, as well as conferences and workshops, has made the research process on this important subject more complex and time-consuming. Therefore, it is necessary to synthesize findings from existing research, seeking an update of the current state-of-the-art knowledge. A combination of weight and meta-analysis was chosen, in order to identify the frequency and relevance of the most used constructs and their most important relationships. A total of 57 articles were found in the literature, having the necessary quantitative statistical data to be considered. The best predictors of the intention to use the mobile banking services identified, simultaneously significant in the weight and in the meta-analysis, are: (i) attitude, (ii) initial trust, (iii) perceived risk, and (iv) performance expectancy. In terms of use of mobile banking, considering the same assumptions, the best predictors are: (i) intention, and (ii) performance expectancy. Facilitating conditions on attitude, task technology fit on performance expectancy, and performance expectancy on initial trust have the potential to be added to the list of the most important predictors, but they still need additional research. A theoretical model based on our results is presented, providing a means to support future mobile banking acceptance studies.     

The role of inter-channel trust transfer in establishing mobile commerce trust

Mobile brokerage services represent an emerging application of mobile commerce in the brokerage industry. Compared with telephone-based trading services and online brokerage services, they have advantages such as ubiquity, convenience, and privacy. However, the number of investors using mobile brokerage services to conduct brokerage transactions is far smaller than those using other trading methods. A plausible reason for this is that investors lack initial trust in mobile brokerage services, which affects their acceptance of them. This research examines trust transfer as a means of establishing initial trust in mobile brokerage services. We analyze how an investor’s trust in the online brokerage services of a brokerage firm affects her cognitive beliefs about the mobile brokerage services of the firm and what other key factors influence the formation of initial trust in mobile brokerage services. We develop and empirically test a theoretical model of trust transfer from the online to the mobile channels. Our results indicate that trust in online brokerage services not only has a direct effect on initial trust but also has an indirect effect through other variables. This study provides useful suggestions and implications for academics and practitioners.     

Effect of trust level on mobile banking satisfaction: a multi-group analysis of information system success instruments

Mobile banking is increasingly being used for banking service applications. However, few empirical studies have been conducted on mobile banking services. Therefore, the current study focuses on whether or not trust in mobile banking influences the relationship between customer satisfaction and perceptions of the system quality, information quality and information presentation of mobile banking. Using the partial least squares approach, the analysis reveals that information quality and system quality influence customer satisfaction, whereas information presentation does not have an effect on customer satisfaction. Moreover, the research model articulates how perceptions of the system quality, information quality and information presentation of mobile banking moderated by trust influence customer satisfaction with this type of service.     

Predicting uptake of technology innovations in online family dispute resolution services: An application and extension of the UTAUT

Parental separation can be psychologically distressing for families—particularly when conflict between parents is high. In Australia, reforms to Family Law legislation have introduced mandatory mediation, which has increased the need for community-based family dispute resolution (FDR) services. Providers have responded to these needs with innovative solutions, including online computer-assisted mediation technologies. We evaluated the unified theory of acceptance and use of technology (UTAUT) within the context of an Australian online family dispute resolution (OFDR) system. The model was extended to include trust and personal web innovativeness, which we proposed would be implicated in the intentions of staff to use a family mediation service. A cross-sectional web-survey methodology was employed to collect data from 127 staff in the implementation organization. The measurement and structural models were evaluated with partial least squares (PLS) modeling and the results provided some support for our hypotheses. Specifically, the core UTAUT model was partially validated in this context. Moreover, effort expectancy mediated the effects of trust in technology on behavioral intention. Contrary to expectations, trust in the organization and innovativeness did not produce significant effects on intention. Practically, these results suggest that pre-contemplation technology acceptance research can have utility for change management and system design.     

Determinants of accepting wireless mobile data services in China

Data services via wireless networks and mobile devices have experienced rapid growth worldwide. We investigated the factors influencing adoption of wireless mobile data services (WMDS) in China and tested our model for explaining adoption intentions there. We argued that individuals form their intention to adopt WMDS under the influence of wireless mobile technology, the social environment, personal innovativeness of IT, trust awareness, and the facilitating conditions. We examined the simultaneous effects of these five influences on beliefs in the context of wireless Internet data services via mobile phones. Survey data were collected from 1432 participants in several metro cities across China. The findings suggest that WMDS adoption intention in China is determined by consumers’ perceived usefulness and perceived ease of use of WMDS. Theoretical and practical implications are included in our paper.     

Role of transfer-based and performance-based cues on initial trust in mobile shopping services: a cross-environment perspective

Building initial trust with consumers is critical for e-retailers. Drawing on the elaboration likelihood model, this study examines the factors affecting initial trust in mobile shopping services by focusing on transfer-based and performance-based trust building mechanisms in a web-mobile services extension context. A developed research model reflecting the above two mechanisms is empirically tested on data collected from 192 undergraduate students who were web-shopping users of a famous business-to-consumer retailer in China. The results indicate that transfer-based cues including trust in web shopping services and functional consistency, in combination with performance-based cues including mobile information quality and mobile service quality, significantly affect initial trust in mobile shopping services. In addition, mobile information quality had a stronger, while mobile service quality had a weaker impact on initial trust in mobile shopping services when the consumer had a low level of self-efficacy for change. However, the moderation effects of user involvement were not significant.     

Understanding Continuance Intention of Mobile Payment Services: An Empirical Study

Research on continued use of mobile payment services is scarce. To address part of this research gap, we examine a research model, derived from IT continuance, risk-trust, and affect-cognition literature. The results show that user satisfaction with mobile payment services has a substantive positive impact on continuance intention with such services; the disconfirmation of preadoption perceived usefulness about mobile payment services positively impacts user satisfaction and postadoption perceived usefulness; the disconfirmation of preadoption perceived risk about mobile payment services negatively impacts user satisfaction and positively impacts postadoption perceived risk; postadoption perceived usefulness is positively associated with continuance intention; user satisfaction positively impacts both institution-based trust in mobile payment technologies and trust beliefs in service providers; institution-based trust shows a positive impact on postadoption perceived usefulness and a negative impact on postadoption perceived risk.     

An empirical study on consumer first purchase intention in online shopping: integrating initial trust and TAM

To understand the first purchase mechanism in online shopping, this study established an integrated model of initial trust and TAM. According to the analysis results, initial trust beliefs were significantly influenced by initial trust bases such as company reputation, structural assurance, and trusting stance, and initial trust beliefs indirectly influenced the first purchase intention through consumer attitude. In TAM constructs, only perceived usefulness directly influenced the usage attitude of online shopping systems, then indirectly influenced the first purchase intention. These results imply that online consumers consider perceived ease of use as a basic requirement for system design. It was also found that there is a time cushion between the time of first purchase and the time of belief formation. On the whole, these results reinforced the theory that a relationship between belief (trust and perceived usefulness) and intention was better explained when it was mediated by attitude.     

Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits

Mobile payment is an emerging and important application of mobile commerce. The adoption and use of mobile payment services are critical for both service providers and investors to profit from such an innovation. The present study attempts to identify the determinants of pre-adoption of mobile payment services and explore the temporal evolution of these determinants across the pre-adoption and post-adoption stages from a holistic perspective including behavioral beliefs, social influences, and personal traits. A research model that reflects the characteristics and usage contexts of mobile payment services is developed and empirically tested by using structural equation modeling on datasets consisting of 483 potential adopters and 156 current users of a mobile payment service in China. Our findings show that behavioral beliefs in combination with social influences and personal traits are all important determinants for mobile payment services adoption and use, but their impacts on behavioral intention do vary across in different stages. Theoretical and practical implications of the findings are presented.     

What drives trust transfer from web to mobile payment services? The dual effects of perceived entitativity

Drawing from trust transfer theory, this study investigates cognitive trust and emotional trust transfer from web payment (WP) to mobile payment (MP) services with the emphasis on the effect of web–mobile payment relationship, namely, perceived entitativity. By conducting an online survey (n = 491), our study shows two key findings. First, cognitive trust and emotional trust can be transferred from WP to MP services, which, in turn, formulate intention to use MP services. Second, perceived entitativity not only increases cognitive trust and emotional trust in MP, but also enhances the transfer of cognitive trust and emotional trust from WP to MP services.     

A two-staged SEM-neural network approach for understanding and predicting the determinants of m-commerce adoption

The advancement in wireless and mobile technologies has presented tremendous business opportunity for mobile-commerce (m-commerce). This research aims to examine the factors that influence consumers’ m-commerce adoption intention. Variables such as perceived usefulness, perceived ease of use, perceived enjoyment, trust, cost, network influence, and variety of services were used to examine the adoption intentions of consumers. Data was collected from 376 m-commerce users. A multi-analytic approach was proposed whereby the research model was tested using structural equation modeling (SEM), and the results from SEM were used as inputs for a neural network model to predict m-commerce adoption. The result showed that perceived usefulness, perceived enjoyment, trust, cost, network influence, and trust have significant influence on consumers’ m-commerce adoption intentions. However, the neural network model developed in this research showed that the best predictors of m-commerce adoption are network influence, trust, perceived usefulness, variety of service, and perceived enjoyment. This research proposed an innovative new approach to understand m-commerce adoption, and the result for this study will be useful for telecommunication and m-commerce companies in formulating strategies to attract more consumers.     

An extension of a fuzzy reputation agent trust model (AFRAS) in the ART testbed

With the introduction of web services, users require an automated way of determining their reliability and even their matching to personal and subjective preferences. Therefore, trust modelling of web services, managed in an autonomous way by intelligent agents, is a challenging and relevant issue. Due to the dynamic and distributed nature of web services, recommendations of web services from third parties may also play an important role to build and update automated trust models. In this context, the agent reputation and trust (ART) testbed has been used to compare trust models in three international competitions. The testbed runs locally and defines an ART appraisal domain with a simulation engine, although the trust models may be applied to any kind of automated and remote services, such as web services. Our previous works proposed an already-published trust model called AFRAS that used fuzzy sets to represent reputation of service providers and of recommenders of such services. In this paper we describe the extension required in the trust model to participate in these competitions. The extension consists of a trust strategy that applies the AFRAS trust model to the ART testbed concepts and protocols. An implementation of this extension of AFRAS trust model has participated in the (Spanish and International) 2006 ART competitions. Using this ART platform and some of the agents who participated, we executed a set of ART games to evaluate the relevance of trust strategy over trust model, and the advantage of using fuzzy representation of trust and reputation.     

M‐payment service: Interplay of perceived risk,benefit, and trust in service adoption

This study aimed to examine the effects of perceived risk, perceived benefits, and trust on consumers’ intention to use mobile payment, or m‐payment. In addition, different effects of some demographic factors (e.g., income, age, education) on m‐payment usage were examined. The sample of 457 respondents was used to analyze the causal relationships between the variables and the mean differences of demographic factors in consumer intention to use m‐payment. The results supported the negative relationship between perceived risk, trust, and consumer intention to use m‐payment. A positive relationship between perceived benefits and trust was found. This study revealed that trust mediated consumer intention to use m‐payment. In individual differences of m‐payment adoption, education influenced the relationship between perceived risk and intention to use m‐payments as well as the relationship between trust and intention to use m‐payment. This study provided insights into consumer differences regarding m‐payment adoption and the mediating role of trust between perceived benefits, perceived risk, and intention to use m‐payment.     

An empirical examination of the determinants of mobile purchase

As en emerging service, mobile purchase has not received wide adoption among users. Drawing on the trust and flow theory, this research identified the factors affecting user adoption of mobile purchase. We conducted data analysis with structural equation modeling (SEM). The results indicated that contextual offering has strong effects on trust, flow, and perceived usefulness. In addition, structural assurance affects trust. Trust affects flow, which further affects perceived usefulness. These three factors determine mobile purchase intention.