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Despite ample research on the adoption of online banking, the post-adoption phase remains largely neglected. The purpose of this paper is to develop a new conceptual model to investigate drivers, attitudes and behaviours in the post-adoption phase of the e-postbox, a co-creative online banking feature.

Research from bank marketing, services marketing, information systems and relationship management informs the proposed post-adoption model. Empirical tests rely on structural equation modelling and a sample of 750 current customers of the e-postbox of a large German bank.

The proposed model provides a multifaceted view of the post-adoption phase, including task-related, organisation-related and interpersonal communication-related drivers. This study reveals the importance of integrating dual interpersonal communication as a post-adoption driver and a post-adoption behaviour. It also extends the technology acceptance model by applying it to the post-adoption phase. Significant effects of age further suggest that younger customers express the most favourable attitudes towards and highest intentions to continue using the e-postbox; interestingly, older customers use it more and share more word-of-mouth.

This paper develops a post-adoption model that highlights the importance of continued usage for successful co-creation between the bank and its customers.

Managers can encourage continued usage during the post-adoption phase of a co-creative, digitalised service, which determines the retention of current customers and opportunities to attain new customers.

This study defines and establishes constructs for the post-adoption phase and categorises them according to post-adoption drivers, attitudes and behaviours.

The purpose of this paper is to examine post‐adoption usage of the internet as a shopping channel. It aims to examine the effects of innovation attributes on post‐adoption shopping behaviours to determine whether factors predicting initial adoption will be effective in predicting post‐adoption. It also aims to examine the links between two usage patterns (purchasing experience product versus search product) and online shopping continuance. The paper also seeks to compare strength of identified links among innovation attributes, online purchase behaviors and online shopping continuance.

An online survey of a national sample of online shoppers identifies online purchase behaviours for search and purchase goods; data are analysed using structural equation modelling to test the proposed model and the hypotheses.

The analysis finds support for the proposed research model and indicates that experience product purchasing has the most salient effect on online shopping continuance. Innovation attributes predicting initial adoption do not play the same roles in post‐adoption usage.

The survey suffered from self‐selection and self‐reporting limitations normally associated with a panel sample.

Post‐adoption actual use behaviour is the most robust predictor of channel‐loyal shopping behaviour; therefore, focusing solely on improving online shoppers' favourable perceptions or positive attitudes toward shopping online might not be an efficient approach.

This research contributes to the marketing literature on consumer innovation diffusion by extending the consumer innovation adoption process to the post‐adoption context.

The purpose of this paper is to solve the challenges in knowledge outcome (e.g. knowledge contribution, knowledge exploration) improvement at the post-adoption phase in the context of e-communities. This study develops a model by integrating dedication-constraint framework and self-presentation theory. The model proposes that knowledge outcomes at the post-adoption phase rely on relationship development between community members, conceptualized as commitment. The authors also hypothesize that members’ perceived online self-presentation quality, theorized as personal control and social influence, serves as the key means to motivate members’ commitment.

This study used survey instrument to collect data and adopted partial least squares to test the proposed hypotheses.

The results show that perceived online self-presentation quality positively affects relationship development, which in turn affects continuance intention for knowledge outcomes.

This study expands the dedication-constraint framework by integrating the self-presentation theory. This study contributes new knowledge by proposing a model that delineates the relationship between online self-presentation quality, relationship development, and knowledge outcomes at the post-adoption stage.

This study shows that members’ perceived online self-presentation quality affects both affective commitment and calculative commitment, which in turn affect knowledge outcomes, suggesting the important role of the perceived quality in stimulating a member’s post-adoption reactions.

This study contributes to the research on post-adoption behavior in an e-community context by accounting for the influence of e-community features in self-presentation quality and dedication-constraint mechanisms on post-adoption phenomena.

The purpose of this paper is to apply expectation-confirmation theory (ECT) and the unified theory of acceptance and use of technology (UTAUT) to identify potential determinants of library patrons’ intention to continue using (continuance) self-issue and return systems for borrowing and returning books. The role of continuance is specifically interesting and is well-established in the literature of information systems (ISs) and marketing because continuance is considered to be the central element for the survival of ISs and of self-service technology (SST). However, the role of continuance has been neglected by researchers studying library SST adoption.

A research model integrating the expectation-confirmation model of IS continuance with UTAUT was developed and empirically validated using data obtained from a field survey involving 128 active users of a self-issue and return system at a public library in Taiwan.

Library patrons’ continuance intention was affected by their post-adoption expectation of perceived performance, effort performance and facilitating conditions as well as their satisfaction when using self-issue and return systems. Moreover, a patron satisfaction level was influenced by performance expectancy and confirmation of initial expectations, whereas confirmation had a positive effect on all post-adoption expectations.

This study broadens perspectives on SST adoption behavior in the library context by identifying some factors that influence library patrons’ continuance decisions. Furthermore, the authors verified the applicability and predictability of the theoretical integration of ECT with UTAUT in a diverse setting because the authors sought survey participants outside of the college population.

The digital transformation in the banking industry has brought about complexity and competitiveness which has made differentiation challenging for banks. Complemented by consumer empowerment through high accessibility of information on the internet, this has led to a phenomenon known as switching behavior. The purpose of this review is to examine the determinants governing switching behavior among bank customers. This review highlights the importance of research which looks beyond pre-adoption behavior by examining post-adoption behavior; what happens after initial technology acceptance.

This review examines 44 journal articles researching switching behavior published between 1995 and 2022 in top journals. From a synthesis of literature, a conceptual framework for analysis and understanding switching behavior is presented.

Although various scholars have investigated switching behavior among bank customers, there are few studies which provide a comprehensive review and research classifications in this area. This review classifies key determinants of switching behavior into socio-demographic factors, situational triggers, influential triggers and reactional triggers. Structural equation modelling is the most common research methodology utilized in reviewed articles. The literature review reveals that mediators and moderators are less commonly deployed compared to determinants. Findings also indicate switching behavior studies still lack theory-driven conceptual frameworks.

This paper is the first systematic literature review on switching behavior research among bank customers spanning across 28 years in top academic journals. It integrates insights from 44 relevant research papers through publication trends. This review identifies key research gaps and provides future research directions.

Based on the post-acceptance model of information system continuance (PAMISC), this study investigates the influence of the early-stage users' personal traits (specifically personal innovativeness and technology anxiety) and ex-post instrumentality perceptions (specifically price value, hedonic motivation, compatibility and perceived security) on social diffusion of smart technologies measured by the intention to recommend artificial intelligence-based voice assistant systems (AIVAS) to others.

Survey data from 400 US AIVAS users were collected and analyzed with Statistical Product and Service Solutions (SPSS) 18.0 and the partial least square technique using advanced analysis of composites (ADANCO) 2.1.

AIVAS technology is presently at the early stage of market penetration (about 25% of market penetration in the USA). A survey of AIVAS technology users reveals that personal innovativeness is directly and indirectly (through confirmation and continuance) associated with a stronger intention to recommend the use of the device to others. Confirmation is associated with all four ex-post instrumentality perceptions (hedonic motivation, compatibility, price value and perceived security). Among the four, however, only hedonic motivation and compatibility are significant predictors of satisfaction, which lead to use continuance and, eventually, intention to recommend. Finally, technology anxiety is found to be indirectly (but not directly) associated with a lower intention to recommend.

This is the first study conducted on the early-stage AIVAS users that evaluates the influence of both personal traits and ex-post instrumentality perceptions on users' intention for continuance and recommendation to others.

This study aims to examine the relationship between emotional attachment (EA) and intelligent personal assistant (IPA) continuance intention. While existing theories emphasize purely rational and goal-oriented factors in terms of information technology (IT) continuance intention, this research examines how users' EA toward technology impacts their continuance intention in the absence of cognitive and habitual factors.

This study contextualizes attachment theory from the social psychology/consumer psychology literature to an IT application and formulates and tests a new model that is proposed in the context of IPA continuance. Five research hypotheses developed from contextualization and application of the theory were posited in a structural model and empirically validated using survey results from IPA users.

The results show that users' EA to IPA use significantly influences their IPA continuance intention, along with emotional trust and interaction quality with the IPA.

This study contextualizes attachment theory developed in the social psychology/consumer psychology literature to formulate and test a new model in the context of IPA continuance. This work contributes to the theoretical understanding by investigating IPA continuance intention in the absence of cognitive or habitual factors and fills a critical research gap in IT post-adoption literature. IPA is just one example of technologies to which individuals can form attachments and this research provides an important foundation for future research by positing and testing the value of EA in IT post-adoption behavior. This research also contributes to practical knowledge by inferring that IPA manufacturers, managers and vendors could extend their revenue streams by integrating product features that capture emotion.

This paper aims to explore the switching intention and behaviour of cloud storage services (CSS) individual users in China by integrating the variables of switching cost and habit into the expectation disconfirmation theory.

Based on 419 valid responses, structural equation modelling was used to examine the research model.

The results indicated that perceived usefulness and expectation disconfirmation have a positive and negative effect on user satisfaction, respectively. While expectation disconfirmation has a negative impact on perceived usefulness, user satisfaction positively affects users’ habit and switching cost. At the same time, switching intention is affected significantly and negatively by perceived usefulness, user satisfaction, as well as switching cost, where in switching intention and habit can commendably predict switching behaviour. The results can guide for CSS providers on how to successfully retain users in the competitive CSS market.

Previous researches have investigated the effects of perceived usefulness, switching cost and user traits on CSS adoption and continuance intention, as well as behaviour; they neglected the antecedents of switching cost and the effect of user habit on them. Additionally, relatively few studies have been devoted to an empirical examination of the switching behaviour from a particular CSS product to its rival products at the individual user level. This research tries to fill these gaps.

In this era of digital technology, the banking sector has revolutionized its operations by using web-based Internet banking services. However, the success of these financial services is dependent on Internet banking user continuance intention instead of initial adoption. The current study develops a theoretical framework based on three well-known theories, namely the expectation–confirmation theory, self-determination theory (SDT) and the commitment trust theory, to investigate Internet banking user continuance intention towards use of Internet banking services.

Following positivist paradigm, a research survey was conducted towards Internet banking users of commercial banks. In response, 355 valid observations were retrieved and used for data analysis. For data analysis, this study has used a latest statistical approach, namely structural equation modelling (SEM).

This study has confirmed that factors underpinning the commitment trust theory, SDT and expectation–confirmation model have significant impact on Internet banking user continuance intention. The research model explained 68.4% of variance in determining Internet banking user continuance intention, which is substantial. The effect size analysis (f²) indicates that perceived usefulness is the most important factor among all other exogenous variables. The predictive relevance of the research model was found substantial Q² 50.3%. These findings confirmed that the research model has substantial power to predict Internet banking user continuance intention.

From a managerial perspective, findings of this research give deeper insight into financial advisors, bank managers and policy- makers to understand human motivation and expectation–confirmation factors in order to retain customers and gain return on Information Technology (IT) investment. Additionally, results suggest that attention should be given on user trust, which in turn boosts user intention towards continuance use of Internet banking services. Extension of the self-determination framework contributes to theory and augments e-commerce literature, especially in a post-adoption setting.

There are several studies that investigate Internet banking user pre-adoption behaviour. Therefore, less is discussed about the Internet banking user’s post-adoption behaviour. Findings of this study help financial advisors to comprehensively understand which factor influences Internet banking user behaviour towards continue use of Internet banking services.

Mobile social apps permeate every facet of daily life through the pervasive use of smartphones. Customer retention with mobile social apps has become extremely important for app-related companies. The purpose of this paper is to explore why experienced users in mobile social apps (e.g. WeChat) are likely to continue using the app.

This study proposed a conceptual model to identify key determinants of continuance intention of WeChat users and highlight the effects of individual experience. Data were collected from WeChat users, which is one of the most popular mobile social apps in China. The study employed partial least squares regression to test the research model based on a survey of 295 valid responses.

Results showed that trust, which was driven by user satisfaction and perceived critical mass, played a critical role in influencing the continuance intention of WeChat users. Moreover, tie strength exerted a negative moderating effect on the relationship between trust and continuance intention. Specifically, tie strength and perceived critical mass had strong impacts on the continuance intention of low-experience users. In addition, the effect of frequency was closely associated with the continuance intention of high-experience users.

This study addressed the issue of mobile social app continuance intention by providing an innovative means to explore the key antecedents of user continuance intention from the experience perspective. The findings not only prove that trust plays a central role in influencing the continuance intention of experienced users but also reveal that the determinants of continuance intention vary among users with different experience. The results provide insights into the key antecedents of experienced WeChat user continuance intention and contribute to the literature on mobile social apps and individual differences.

The results provide suggestions for mobile social app practitioners to effectively plan mobile social app retention practices and to set up appropriate incentive mechanisms for retaining users with different experiences.

Although abundant studies have focused on the adoption of media users, few studies have investigated the post-adoption behavior of experienced users in the context of mobile social apps. This study revealed the key determinants of the continuance intention of WeChat users and pinpointed the different impacts of these antecedents on users with different levels of experience. It also provides useful guidelines for practitioners to effectively retain users with different levels of experience.