Exploring continued online service usage behavior: The roles of self-image congruity and regret

The expectation–confirmation model (ECM) of continued information systems (IS) use has proven to be successful across online service contexts. Previous studies based on ECM have focused on a referent (i.e., comparison standard) that is centered on the target IS (i.e., target online service). The effect of this referent, captured through confirmation, has been strongly demonstrated. Yet, few studies have explored the saliency of two additional reference effects, captured through self-image congruity and regret, in online service continuance. To fill this knowledge gap, this paper attempts to develop a research model that extends the ECM perspective in view of the additional contributions of regret and self-image congruity on two post-adoption beliefs (perceived usefulness and perceived enjoyment) and continuance intention. For this extension, we synthesized the extant literature on continued IS use, self-image congruity, and regret. The model was empirically tested within the context of a social network service. Our analysis result shows that self-image congruity plays a key role in forming the two post-adoption beliefs. It is also found that the absolute effect of regret on continuance intention is larger than the effects of other antecedents identified in IS. Overall, this study preliminarily confirms the salience of self-image congruity and regret in online service continuance.     

Extending the two‐stage information systems continuance model: incorporating UTAUT predictors and the role of context

This study presents two extensions to the two‐stage expectation‐confirmation theory of information systems (IS) continuance. First, we expand the belief set from perceived usefulness in the original IS continuance model to include three additional predictors identified in the unified theory of acceptance and use of technology, namely effort expectancy, social influence and facilitating conditions. Second, we ground the IS continuance model in the context of transactional systems that involve transmission of personal and sensitive information and include trust as a key contextual belief in the model. To test the expanded IS continuance model, we conducted a longitudinal field study of 3159 Hong Kong citizens across two electronic government (e‐government) technologies that enable citizens' access to government services. In general, the results support the expanded model that provides a rich understanding of the changes in the pre‐usage beliefs and attitudes through the emergent constructs of disconfirmation and satisfaction, ultimately influencing IS continuance intention. Finally, we discuss the theoretical and practical implications of the expanded model.     

Modelling the impact of mHealth service quality on satisfaction,continuance and quality of life

Understanding the impact of service quality on economic and social outcomes is critical to extend the focus of IT service research. This study evaluates the impact of quality on both these dimensions in mHealth using a cross disciplinary approach. The conceptual model is rooted in the traditional cognition–affective–conation chain but explicitly incorporates convenience, confidence, cooperation, care and concern as the primary dimensions of mHealth quality. The model is validated in the context of a business-to-consumer mHealth services using partial least squares path modelling. The results confirm that service quality has both direct and indirect impact on continuance intentions (i.e. economic outcome) and quality of life (i.e. social outcome). In this relationship, satisfaction plays the key mediating role, whereas service quality does not have any moderating effect. Research implications point to scale and sustain this new healthcare paradigm by linking service quality to satisfaction, continuance intentions and quality of life.     

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.     

Understanding the Role of Conscious and Automatic Mechanisms in Social Networking Services: A Longitudinal Study

Given the proliferation of social networking sites (SNSs), it has become important to understand users’ continued attraction and usage of them. Previous works on information systems (IS) and marketing have paid little attention to the role of automatic mechanisms in frequently used IS such as mobile applications and SNSs. We develop an integrated framework to examine the effects of conscious and automatic mechanisms on SNS users’ postadoption behaviors. Considering the unique characteristics of SNSs, we posit user satisfaction, trust in an SNS provider, and prior SNS use as key drivers accelerating the development of SNS habitual use. Longitudinal data collected from 250 Facebook users were tested against the research model using partial least squares. The findings showed that SNS continuance usage is shaped by automatic factor as well as by reasoned conscious factor. In particular, SNS continuance usage is largely explained by SNS habit. User satisfaction, trust in an SNS provider, and prior SNS use were found to be the key enablers of developing SNS habit. Moreover, the analysis results clarify the exact role of relationship management, self-presentation, perceived enjoyment, and trust in an SNS provider in users’ decision-making processes. Implications for research and practice are described.     

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.     

Understanding information systems continuance: The case of Internet-based learning technologies

Our research model expanded the Bhattacherjee's IS continuance model by adding a moderating effect (IS habit) to IS continuance intention and IS continued usage, postulating direct links between satisfaction and IS continued usage, as well as between prior behavior and IS continued usage. The model was tested with an Internet-based learning technology in a longitudinal setting. Data collected from 505 students were examined using partial least squares analysis. The results presented strong support for the theoretical links of IS continuance model, and for the new moderating effect. Both satisfaction and prior behavior were found to have significant impact on IS continuance. In addition, our findings confirmed the theoretical argument that the strength of intention to predict continuance was weakened by a high level of IS habit.     

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.     

Exploring academic teachers’ continuance toward the web-based learning system: The role of causal attributions

The Expectation Confirmation Model (ECM) is a popular model used to explain the continuance of information system usage. However, past studies have found that the ECM, based on extrinsic motivations (e.g. perceived usefulness, user satisfaction), has limitations insofar as people often have both intrinsic and extrinsic motivations simultaneously. This study used the belief of causal attributions to extend the ECM and verify it in a web-based learning system (WLS) context. Nine hypotheses were derived from the modified ECM. Empirical data were collected by a mail survey from faculty with experience of WLS in Taiwanese universities. The final sample used for further analysis comprised of 144 respondents. The results revealed that the modified ECM has greater power to explain the continued intention of WLS usage even if the effects of user satisfaction and perceived usefulness on continued intention are reduced.     

An investigation of the effect of online consumer trust on expectation, satisfaction, and post-expectation

This study proposes a framework regarding the relationship between consumer trust, satisfaction, expectation, and post-expectation in the context of electronic commerce. In particular, the framework draws together from three theories: social exchange theory, expectation-confirmation theory, and post-acceptance model of IS continuance. Following the longitudinal pre-purchase and post-purchase stages, this study provides a theoretical framework combining trust, expectation, satisfaction, and post-expectation (i.e., perceived usefulness) and tests the proposed model empirically using Internet consumer behavior data collected via two rounds of Web surveys. The empirical findings suggest that both consumer’s trust and expectation have positive influences on consumer’s satisfaction; a significant and positive relationship is detected between consumer’s trust and expectation; customer’s satisfaction and perceived usefulness as post-expectation belief are important predictors of repurchase intention. In consequence, the study provides a framework explaining the subsequent relationships of trust, expectation, confirmation, satisfaction, post-expectation, and repurchase intention (i.e., consumer trust → expectation → confirmation → satisfaction → post-expectation → repurchase intention) across pre-purchase and post-purchase stages. Theoretical and practical implications are discussed.     

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.     

An empirical examination of users' post-adoption behaviour of mobile services

Extant research has focused on the initial adoption and usage of mobile services and paid little attention to the post-adoption and continuance usage. However, unless users continue using mobile services, service providers cannot achieve success. Drawing upon the expectation confirmation theory, this research develops a mobile post-adoption model. The post-adoption behaviour includes three variables: continuance intention, recommendation and complaint. We conducted data analysis with partial least squares. The results indicated that expectation confirmation, perceived ease of use, perceived usefulness and usage cost significantly affect users' satisfaction, further determining their post-adoption behaviour. In addition, perceived usefulness has a direct effect on the continuance intention.     

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.     

Perceived quality factors of location-based apps on trust,perceived privacy risk,and continuous usage intention

Numerous location-based services (LBS) studies have suggested that the risk of disclosing personal privacy hinders consumers from adopting LBS, whereas scant attention has focused on clarifying how to mitigate the perceived privacy risk of using LBS. This quantitative study focuses on the effects of consumer quality perceptions (i.e. information quality, system quality, and service quality) on their trust in LBS, which consequently affects perceived privacy risk and continued usage intention towards LBS. Research data were collected through a market survey website; 1399 valid questionnaires were collected. Structural equation modelling analysis was applied to the data. The results revealed that information quality, system quality, and service quality were positively related to perceived trust. Perceived trust also correlated negatively with perceived privacy risk, but positively with continued usage intention. A managerial implication drawn from the findings is that LBS providers should develop more useful user interfaces or provide timely, personalised services to reduce perceived privacy risk and strengthen LBS continued usage intention.     

Social virtual world continuance among teens: uncovering the moderating role of perceived aggregate network exposure

Engagement in virtual worlds has become pervasive, particularly among the young. At the same time, the number of virtual environments has increased rapidly. Due to intensifying competition, promoting sustained usage, i.e. continuance, has become a top priority for virtual world operators. Prior research has shown that network externalities play a key role in the adoption of communication technologies. However, a small amount of research has examined the role of network externalities in continued IT usage in general or with respect to the virtual world participation in particular. To fill in this gap, we examine how perceived network externalities affect the continuance of social virtual worlds. To this end, we introduce the concept of perceived aggregate network exposure (PANE). We extend the original information systems (IS) continuance model with perceived enjoyment and position PANE as a moderator. We test the model with data collected from 2134 Finnish Habbo Hotel users and employ structural equation modelling in the analysis. The results demonstrate that PANE moderates the influence of motivational factors on continued use intention and satisfaction.     

A cross-country analysis of the determinants of customer recommendation intentions for over-the-top (OTT) platforms

Using data from India and the USA, this research expands the expectation–confirmation model (ECM) to include constructs like neutral confirmation, customer-to-customer (C2C) interactions and perceived content quality as antecedents to perceived enjoyment, perceived usefulness, user satisfaction, continuance, and recommendation intentions. Across both countries, except for the influence of C2C interactions on perceived enjoyment and of perceived usefulness on recommendation intentions, the remaining hypotheses are supported. There are cross-country differences in the magnitude of the paths from neutral confirmation and C2C interactions to perceived usefulness, and of paths from perceived enjoyment and satisfaction to continuance intentions.     

Examining the role of perceived value in virtual communities continuance: its antecedents and the influence of experience

Although perceived value has long been recognised as an influential means of affecting continuance intention in information systems (IS), little attention has been devoted to explore its antecedents, which constitutes an important research issue. This study, building on prior literature on continued usage in IS as well as the resource-based view, proposed a model to address this gap. Our model suggests that perceived value, a major driving force for members’ satisfaction and continuance intention, is affected by four kinds of resources embedded in virtual communities, which are relationship resources, technology infrastructure, knowledge resources and human resources. To provide additional insights on the pivotal role of perceived value, we also postulate that experience moderates the link between perceived value and its antecedents. Data collected from 235 members of a professional virtual community provide strong support for the research model. It was found that perceived value exerts a great effect on both satisfaction and continuance intention. In addition, when different levels of experience are taken into consideration, relationship resources, knowledge resources and human resources were found to be more salient to high-experience members, whereas technology infrastructure was found to be more salient to low-experience members. Finally, this study discusses the implications of these findings and offers direction for future research.     

Why do teachers continue to use teaching blogs? The roles of perceived voluntariness and habit

The importance of teaching blogs motivates schools to adopt them. The value realized from these teaching blogs depends on teachers' ongoing participation and contribution, but limited research explains why teachers continue to use teaching blogs after their initial adoption. To promote teachers' continued usage of teaching blogs, it is important to know the underlying reasons. This study extended Bhattacherjee's expectation–confirmation model by adding two moderating effects (perceived voluntariness and habit) on the intention–usage relationship. Longitudinal data were collected from a survey questionnaire completed by 195 Taiwanese senior and vocational school teachers. The partial least squares model was used to test the measurement and structural models. The results indicate that confirmation has a direct effect on perceived usefulness, while satisfaction is jointly determined by perceived usefulness and confirmation. The continuance intention of teaching blogs is jointly determined by satisfaction and perceived usefulness, with 34% variance explained. The continued usage of teaching blogs is jointly determined by perceived voluntariness and habit, with 42% variance explained. The results also show that a higher level of perceived voluntariness for teaching blogs increases the effect of continuance intention on continued usage. However, habit does not moderate the intention–usage relationship. The implications for theory and practice, as well as suggestions for future research, are also discussed.     

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.     

Trust transfer in the continued usage of public e-services

We investigate how public administrations can influence citizens’ continued usage of public e-services and focus on the role of different trust elements. We review prior literature and derive a model of trust transfer and continued usage. Our results show that trust in the public e-service mediates the influence of both trust in the public administration and trust in the Internet on continuance intentions. Trust was influenced by e-service quality and recommendations from public administrations and interpersonal sources. The relationship between interpersonal recommendations and trust in the e-service was non-significant; we found a strong moderating influence of time consciousness.