Usability,quality, value and e-learning continuance decisions

Previous research suggests that an eventual information technology (IT) success depend on both its initial adoption (acceptance) and subsequent continued usage (continuance). Expectancy disconfirmation theory (EDT) has been successfully used to predict users’ intention to continue using information technologies. This study proposed a decomposed EDT model to examine cognitive beliefs and affect that influence users’ continuance decision in the context of e-learning service. The proposed model extended EDT by decomposing the perceived performance component into usability, quality, and value. Research hypotheses derived from this model are empirically validated using the responses to a survey on e-learning usage among 183 users. The results suggest that users’ continuance intention is determined by satisfaction, which in turn is jointly determined by perceived usability, perceived quality, perceived value, and usability disconfirmation.     

Incorporating trust-in-technology into Expectation Disconfirmation Theory

Continued use of strategic information systems is not always a given. This study proposes that users’ trust in the system may influence their satisfaction and continuance intention. While trust has been found to have strategic implications for understanding consumers’ technology usage, relatively little research has examined how trust’s influence operates over time. To gain insight into trust’s influence on strategic system usage over time and to explain how trust relates to satisfaction and continuance intention, we integrate trust-related constructs with the Complete Expectation Disconfirmation Theory (EDT) Model. Our results demonstrate that trust plays a central role in the EDT process and that the EDT process helps explain trust’s role more completely. The study shows that technology trusting expectations influence trusting intention through performance, disconfirmation, and satisfaction. We also show that technology trusting intention adds predictive power to EDT’s satisfaction construct as together they predict usage continuance intention. For research, our results provide a strong combined EDT and trust theory base for future studies that examine expectation management and system development projects. For practice, our study informs systems implementation strategies for technologies that have fewer human-like characteristics and more technology-like characteristics. Our findings underscore that managers need to adopt an EDT process-based view when seeking to build trust, satisfaction, and continuance intention in strategically important information systems.     

Usability, quality, value and e-learning continuance decisions

Previous research suggests that an eventual information technology (IT) success depend on both its initial adoption (acceptance) and subsequent continued usage (continuance). Expectancy disconfirmation theory (EDT) has been successfully used to predict users’ intention to continue using information technologies. This study proposed a decomposed EDT model to examine cognitive beliefs and affect that influence users’ continuance decision in the context of e-learning service. The proposed model extended EDT by decomposing the perceived performance component into usability, quality, and value. Research hypotheses derived from this model are empirically validated using the responses to a survey on e-learning usage among 183 users. The results suggest that users’ continuance intention is determined by satisfaction, which in turn is jointly determined by perceived usability, perceived quality, perceived value, and usability disconfirmation.     

Predicting electronic service continuance with a decomposed theory of planned behaviour

Previous research suggests that an eventual information technology (IT) success depends on both its initial adoption (acceptance) and subsequent continued usage (continuance). Theory of planned behaviour (TPB) has been successfully used to predict users' acceptance of IT. Yet, this theory has not been applied to the context of continuance of IT. This paper examines post-adoption cognitive beliefs and factors influencing one's intention to continue using (continuance) electronic services (e-services). Decomposed theory of planned behaviour (DTPB) is adapted from social psychology and integrated with theoretical and empirical findings from prior information systems (IS) usage research to theorize a model of e-service continuance. Specifically, the research model decomposes the perceived behavioural control components of TPB into Internet self-efficacy and perceived controllability, the subjective norm component into social influences and interpersonal influence, and the attitude component into perceived usefulness, perceived playfulness, and perceived risk. Nine research hypotheses derived from this model are empirically validated using a field survey of Web-based tax filing service users. The results suggest that users' continuance intention is determined by Internet self-efficacy and satisfaction. Satisfaction, in turn, is jointly determined by interpersonal influence, perceived usefulness, and perceived playfulness.     

Influence of Expectation Confirmation,Network Externalities,and Flow on Use of Mobile Shopping Apps

ABSTRACT

The purpose of the current research is to examine the influence of expectation confirmation, network externalities, and flow on word-of-mouth intention and continued use of mobile shopping apps. A structured online survey questionnaire is used to collect data from 363 users of mobile shopping apps. Structural equation modeling is used to analyze the research model. The findings reveal that indirect network externalities, i.e., perceived complementarity, influence perceived usefulness of the mobile shopping app. Users’ confirmation of expectations significantly influences perceived usefulness, satisfaction, and continuance intention to use mobile apps. Satisfaction is found to be a significant predictor of continuance intention and word-of-mouth intention. Flow influences satisfaction of users, perceived usefulness, and continuance intention. Word-of-mouth intention is found to be an important post-adoption behavioral outcome. The results provide valuable theoretical insights for academics and managerial implications for providers of mobile shopping apps.     

Examining the antecedents of user gratification and its effects on individuals’ social network services usage: the moderating role of habit

User loyalty or continued use is critical to the survival and development of any website. Focusing on the social network services (SNSs) context, this study proposes a research model for investigating individuals’ use motivations and the moderating role of habit with regard to gratification and continuance intention. This research integrates two influential media communication theories, media system dependency (MSD) and uses and gratifications, to examine SNSs-related behaviors. To comprehend online users’ motivations in depth, three motivations derived from MSD (understanding, orientation and play dependency relations) are operationalized as reflective, second-order constructs. The three motivations are theorized to affect parasocial interaction positively, and parasocial interaction is hypothesized to positively affect the gratification that individuals derive from SNSs usage. Furthermore, this study hypothesizes that gratification positively affects individuals’ continuance intention. Finally, we theorize that habit moderates the impact of gratification on continuance intention. Data collected from 657 Facebook users provide strong support for all six hypotheses. The results indicate that individuals’ motivations (i.e., the understanding, orientation and play dependency relations) positively affect parasocial interaction, which in turn has a positive effect on gratification, and subsequently continuance intention. In addition, the results show that habit has a small but negative moderating effect on the relationship between gratification and continuance intention. Implications for theory and practice are discussed, and suggestions are made for future research.     

Factors influencing continuance intention to use social network sites: The Facebook case

Social networking sites (SNS) have become one of the most popular means of online social interaction. However, few studies have examined SNS from the context of post-adoption. This study focuses on continuance usage intention toward Facebook, a popular SNS, among university students in the United Arab Emirates. We have extended the expectation–confirmation model by investigating the influence of enjoyment and subjective norms as critical factors that directly influence continuance usage intention, and added habit as a mediator between satisfaction and continuance intention. We used structural equation modeling to validate the proposed model and hypotheses. We find that perceived usefulness, satisfaction, habit, enjoyment, and subjective norms explain 54.8% of the variance in continuance intention. Furthermore, our study shows that the effect of satisfaction on continuance intention is both direct and mediated by habit. Thus, practitioners should focus on all of these factors to encourage continuance usage intention in their site’s users.     

Identify predictors of university students’ continuance intention to use online carbon footprint calculator

An online carbon footprint calculator (CFC) is a Green Information System, which enables individuals to self-estimate carbon footprints, self-manage behaviour, and accordingly self-control carbon emissions. Individuals’ persistent CFC use may help to slow down global warming. Thus, it is vital to establish a model to investigate the motivational predictors of CFC continuance intention. We formulated a model by integrating Expectation-Confirmation Model (ECM) and Theory of Planned Behaviour (TPB), with the former measuring continuance intention and the latter measuring low-carbon behavioural intention. To validate the model and identify significant predictors, a survey was conducted on undergraduate students. The survey results revealed that ECM accounted for 50% of the variance in continuance intention, that TPB accounted for 35% in low-carbon behavioural intention, and that the integrated model accounted for 64% in CFC continuance intention. Plus, direct and significant predictors of CFC continuance intention included low-carbon attitude, low-carbon behavioural intention, low-carbon subjective norm, satisfaction, and usefulness. Findings, implications, and suggestions are accordingly offered.     

Understanding online repurchase intention: social exchange theory and shopping habit

Customer retention plays a key role in online shopping success. However, little attention has been paid to how online customers’ shopping habit moderates the relationship between their evaluation of online services and repurchase intention. To fill this gap, this study draws on both social exchange theory and IS use theory to propose a model. The social exchange theory is characterized as emotional evaluation (i.e., satisfaction with outcome quality, satisfaction with process quality) and rational evaluation (i.e., trust, learning). We view online repurchase as post-adoption phenomena of IS use that entail users’ beliefs, perception, and intention. The proposed model and hypotheses are supported by the empirical data from 469 online customers. Our findings show that shopping habit increases the influence of emotional evaluation on continuance, while habit weakens the impact of rational evaluation on continuance intention. The integration of social exchange theory and IS use (continuance) distinguishes our study from others who have primarily considered these theories disparately.     

Why do users continue using social networking sites? An exploratory study of members in the United States and Taiwan

In this paper, we draw on an extended Uses and Gratifications Theory (UGT) to explore factors that affect members’ continued use intention toward Social Networking Sites (SNSs). We also theorize about the intricate relationships among a variety of UGT constructs. Further, we conduct this research in a global context by comparing SNS use in the United States and Taiwan. Empirical survey data are collected to validate the research model, and several intriguing findings are observed. Our research results indicate that four determinants, i.e., gratifications, perceived critical mass, subjective norms, and privacy concerns, influence SNS users’ continuance intention and that regional differences moderate the effects of both gratifications and privacy concerns on continuance intention. Our study makes noticeable contributions to the literature on UGT and SNSs. The findings reported also inform service providers in developing better strategies for member retention.     

Online consumer retention: contingent effects of online shopping habit and online shopping experience

In this study, we further develop the information systems continuance model in the context of online shopping, using a contingency theory that accounts for the roles of online shopping habit and online shopping experience. Specifically, we argue and empirically demonstrate that although conceptually distinct, online shopping habit and online shopping experience have similar effects on repurchase intention. They both have positive mediated effects through satisfaction and moderate the relationship between satisfaction and online repurchase intention. The results of a survey study involving 122 online customers provide strong support for our research model. We also identify after-sale service, transaction efficiency, security, convenience, and cost savings as important online shopping usefulness drivers. Theoretical and practical implications include establishing a contingency theory to more fully explain online customer retention as well as guidelines for development of customer relationship management initiatives.     

Understanding Chinese users’ continuance intention toward online social networks: an integrative theoretical model

This study explores users’ continuance intention in online social networks by synthesizing Bhattacherjee’s IS continuance theory with flow theory, social capital theory, and the unified theory of acceptance and use of technology (UTAUT) to consider the special hedonic, social and utilitarian factors in the online social network environment. The integrated model was empirically tested with 320 online social network users in China. The results indicated that continuance intention was explained substantially by all hypothesized antecedents including perceived enjoyment, perceived usefulness, usage satisfaction, effort expectancy, social influence, tie strength, shared norms and trust. Based on the research findings, we offer discussions of both theoretical and practical implications.     

Predicting continuance in online communities: model development and empirical test

Popular interest in online communities has grown rapidly in recent years as a result of the widespread diffusion of Web 2.0 applications. However, the full values and potential of online communities cannot be realised without users' ongoing participation. Thus, this study aims at developing and empirically testing a research model to examine users' continuance intention to participate in an online community based on an extended information systems (IS) continuance model. Specifically, entertainment value and affective commitment are included in the IS continuance model and empirically examined in the context of online communities. A total of 240 returns collected from an online survey, which was conducted among users of a website bulletin board-based community in China, were analysed using partial least squares. The results reveal that users' continuance intention to participate in an online community is determined by both satisfaction and affective commitment. Satisfaction and affective commitment are, in turn, influenced by positive disconfirmations of purposive and entertainment values. The findings of this study contribute not only to theory building in online community continuance but also inform online community moderators in their effort to develop strategies for retaining their users.     

Disentangling utilitarian and hedonic consumption behavior in online shopping: An expectation disconfirmation perspective

Increasingly, researchers have come to acknowledge that consumption activities entail both utilitarian and hedonic components. Whereas utilitarian consumption accentuates the achievement of predetermined outcomes typical of cognitive consumer behavior, its hedonic counterpart relates to affective consumer behavior in dealing with the emotive and multisensory aspects of the shopping experience. Consequently, while utilitarian consumption activities appeal to the rationality of customers in inducing their intellectual buy-in of the shopping experience, customers’ corresponding emotional buy-in can only be attained through the presence of hedonic consumption activities. The same can be said for online shopping. Because the online shopping environment is characterized by the existence of an IT-enabled web interface that acts as the focal point of contact between customers and vendors, its design should embed utilitarian and hedonic elements to create a holistic shopping experience. Building on Expectation Disconfirmation Theory (EDT), this study advances a research model that not only delineates between customers’ utilitarian and hedonic expectations for online shopping but also highlights how these expectations can be best served through functional and esthetic performance, respectively. Furthermore, we introduce online shopping experience (i.e., transactional frequency) as a moderator affecting not only how customers form utilitarian and hedonic expectations but also how they evaluate the functional and esthetic performances of e-commerce sites. The model is then empirically validated via an online survey questionnaire administered on a sample of 303 respondents. Theoretical contributions and pragmatic implications to be gleaned from our research model and its subsequent empirical validation are discussed.     

Factors affecting privacy disclosure on social network sites: an integrated model

The self-disclosure of personal information by users on social network sites (SNSs) play a vital role in the self-sustainability of online social networking service provider platforms. However, people’s levels of privacy concern increases as a direct result of unauthorized procurement and exploitation of personal information from the use of social networks which in turn discourages users from disclosing their information or encourages users to submit fake information online. After a review of the Theory of Planned Behavior (TPB) and the privacy calculus model, an integrated model is proposed to explain privacy disclosure behaviors on social network sites. Thus, the aim of this paper is to find the key factors affecting users’ self-disclosure of personal information. Using privacy calculus, the perceived benefit was combined into the Theory of Planned Behavior, and after some modifications, an integrated model was prescribed specifically for the context of social network sites. The constructs of information sensitivity and perceived benefit were redefined after reviewing the literature. Through a study on the constructs of privacy concern and self-disclosure, this article aims at reducing the levels of privacy concern, while sustaining online transactions and further stimulating the development of social network sites.     

Modeling the continuance usage intention of online learning environments

This study focused on the continuance usage intention toward online learning environments and also proposed and empirically tested an integrated model to better understand the determinants of students’ continuance intention to use these environments. For this purpose, variables which may have an effect on the continuance usage intention were examined and an “online continuance usage intention model” was revealed. When the variables of the hypothetical model were determined, Technology Continuance Theory, Information Systems Success Model, Cognitive Model and Information Systems Expectation Confirmation Model have been practiced on. Empirical data from 467 public university students who had used an online learning environment for the first time were tested against the proposed research model by using path analysis. The results indicated that, confirmation of the usage of online learning environments could be explained by information quality, system quality and service quality variables. 63% of the variance of the satisfaction variable was explained by information quality, system quality, service quality, confirmation, utilitarian value, outcome expectations and perceived value. Research results confirmed the propounded constructs of Information Systems Success Model and Information Systems Expectation Confirmation Model. In line with the obtained findings and results, some of the various suggestions were provided for the next studies and implementations.     

The role of self-determination theory in explaining teachers’ motivation to continue to use e-learning technology

Based on self-determination theory, this study proposes an extended information systems continuance theory in the context of teachers’ utilization of e-learning technology in connection with on-site courses. In the proposed model teachers’ extrinsic motivation (i.e. perceived usefulness), confirmation of pre-acceptance expectations and intrinsic motivation are predicted to be influenced by perceived autonomy, perceived competence and perceived relatedness. Even though information systems continuance theory has received quite extensive attention in prior research, this study is among the first to examine the effects of self-determination theory constructs in the context of teachers’ utilization of e-learning technology. The results show that extension of IS-continuance theory with constructs that represent users’ basic psychological needs and intrinsic motivation can be useful for predicting their e-learning continuance intentions.     

Re-examining the influence of trust on online repeat purchase intention: The moderating role of habit and its antecedents

Customer loyalty or repeat purchasing is critical for the survival and success of any store. By focusing on online stores, this study investigates the moderating role of habit on the relationship between trust and repeat purchase intention. Prior research on online behavior continuance models perceives usefulness, trust, satisfaction, and perceived value as the major determinants of continued usage or loyalty, overlooking the important role of habit. We define habit in the context of online shopping as the extent to which buyers tend to shop online automatically without thinking. Building on recent research on the continued usage of IS and repeat purchasing, we develop a model suggesting that habit acts as a moderator between trust and repeat purchase intention, while familiarity, value and satisfaction are the three antecedents of habit. Data collected from 454 customers of the Yahoo!Kimo shopping mall provide strong support for the research model. The results indicate that a higher level of habit reduces the effect of trust on repeat purchase intention. The data also show that value, satisfaction, and familiarity are important to habit formation and thus relevant within the context of online repeat purchasing. The implications for theory and practice and suggestions for future research are also discussed.     

Assessing the impact of enterprise systems technological characteristics on user continuance behavior: An empirical study in China

Enterprise systems (ES) have changed the way organizations process their information, yet limited research has been conducted to investigate users’ post-adoption perceptions of these sophisticated technologies. Drawing on the IS-continuance theory and the IS success model, this research attempts to fill this gap in the literature by examining the influence of technological characteristics of ES, represented by information and system quality, on users’ satisfaction and perceived usefulness, which in turn, affect continuance intention of ES. Furthermore, this study proposes that both satisfaction and continuance intention influence continuance behavior. A research model was developed and empirically examined with data collected from 275 users of ES in China.     

Online Social Networking Sites Continuance Intention: A Model Comparison Approach

Retaining existing users and letting them continue to use the current social networking sites (SNSs) have become increasingly challenging for developers. This study takes a model comparison approach to investigate this important issue. Based on technology acceptance model, self-determination theory, and net-valence model, our study develops four models that explain individuals’ continuance intention. Based on the data collected from U.S. SNS users, all four models can predict individuals’ intention reasonably well, and net-valence model with perceived benefits and risks as second-order constructs explains the largest amount of variance of SNS continuance intention. This study is among the first model comparison studies in the SNS continuance area. It is also among the first to apply self-determination theory and net-valence model to investigate SNS continuance.