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User discontinuance on short-video platform has become increasingly prevalent in recent years. Short-video discontinuance refers to reduced use, controlled use or suspended use of the short-video platform. In this study, we examined factors associated with discontinuance behavior on short-video platform.

From the perspective of stressor–strain–outcome (SSO), we put forward a theoretical model integrating perceived information overload and perceived system feature overload (stressors), dissatisfaction (psychological strain), flow experience and regret to explain discontinuance behavior on short-video platform (behavioral outcome). We collected 482 survey data from Douyin users in China, and empirically examined the proposed research model via Partial least squares structural equation modeling (PLS-SEM) technique.

Our results demonstrated that perceived system feature overload exerts a positive effect on perceived information overload. Perceived system feature overload has a stronger influence on dissatisfaction than perceived information overload. Regret increases user dissatisfaction, while flow experience decreases user dissatisfaction. We also discovered that dissatisfaction and regret have significant positive effects on discontinuance behavior. Interestingly, flow exerts no significant influence on discontinuance behavior.

This study enriches the body of knowledge on social media discontinuance by revealing the interaction and effects of flow experience, dissatisfaction and regret on discontinuance. This study also extends the understanding on the complex role of flow experience in leading to social media discontinuance. Additionally, this study deepens the research on the interaction between perceived system feature overload and perceived information overload as well as their different influences on negative emotion.

To understand the mechanisms underlying social media discontinuance behavior, this study explores factors affecting social media discontinuance behavior from the perspective of social cognitive theory (SCT).

Based on SCT, this study puts forward a theoretical model incorporating habit, excessive use and negative emotions to predict social media discontinuance behavior. The proposed research model was empirically tested with 465 responses collected from WeChat users in China via an online survey. WeChat is one of the most popular social media in China. However, WeChat also faces the challenges of reduced or terminated usage among its users. Partial least squares structural equation modeling (PLS-SEM) technique was used to analyze the data.

The research results in this study show that habit exerts a negative effect on social media discontinuance behavior, while exhaustion and regret have positive influences. In addition, habit positively affects excessive use, which further leads to negative emotions of social media exhaustion and regret. Moreover, gender moderates the relationship between habit and social media discontinuance behavior.

This study adds to the literature of information system (IS) use lifecycle by investigating user behavioral changes regarding a transition from habituated to excessive use and further to discontinuance behavior. This study also helps elucidate the complex role of habit by explaining social media discontinuance from the social cognitive view. Furthermore, this study advances the current understanding of gender difference in social media discontinuance in the Chinese context. The study also offers insights to practitioners on how to prevent individuals from discontinuing their use of social media.

Many companies have now built brand fan pages (BFPs) on social media platforms to connect with their existing and potential customers. Nevertheless, the inability to retain existing followers would severely threaten the survival of BFPs and the effectiveness of a company's social media strategies. Drawing upon Furneaux and Wade's discontinuance framework, our study develops a research model to understand the BFP user's intention to discontinue following a BFP.

An empirical study was conducted through an online survey of Chinese social media users. The proposed model was tested by analyzing the collected data using the partial least squares structural equation modeling (PLS-SEM) approach.

The results reveal that dissatisfaction with information quality, unfollowing costs, trust and alternative attractiveness affect the individual's intention to unfollow a BFP. Notably, unfollowing costs is the most powerful factor to predict followers' propensity to discontinue.

Our study contributes to the understanding of the discontinuance of information systems. Theoretical implications for future social commerce research as well as practical suggestions for BFP operators are also discussed.

Although materializing the benefits of social media substantially depends on sustained user participation, social media service providers are experiencing a decline in the number of users. Despite the relevance of studying and managing discontinuance behaviors, a systematic empirical investigation remains lacking. The present study draws on the idea of a two-factor model and aims to examine the enabler, inhibitor and their antecedents in the context of social media discontinuance.

The proposed theoretical model was empirically validated through an online survey study of 238 social media users in China.

Findings indicated that two negative outcomes of social media use (i.e. social overload and invasion of privacy) induce regret experience and ultimately foster discontinuance intentions. The development of discontinuance intentions was undermined by the level of inertia, which is rooted in social media habit, sunk costs and affective commitment.

This study draws attention to the fundamental difference between continuance and discontinuance behaviors, advances the existing understanding of postadoption behaviors by focusing on discontinuance inhibitors (e.g. inertia) and develops the first two-factor model for social media discontinuance by integrating the regret and status quo bias literature.

Pervasive mobile games (PMG) expand the game context into the real world, spatially, temporally and socially. The most prominent example to date is Pokémon Go (PGo), which in the first 12 months of its launch achieved over 800 million downloads and huge revenues for Pokémon, its majority owner Nintendo, and its developer Niantic. Like many mobile apps and innovative services, PGo's revenue structure requires continual usage (through in-app purchases and sponsorships) as it is free to download. Thus, as many players discontinued after initial adoption, substantial drops in Nintendo's share price occurred alongside the damage to brand equity. Such a case highlights the need to extend scholarship beyond traditional ‘adoption’ and begin to truly illustrate and explain the consumer behaviour phenomenon of ‘discontinuance’, particularly in the emerging and lucrative domain of PMGs.

Like many emerging marketing channels before it, large-scale discontinuance of PGo occurred and still remains unexplained in the academic literature. Herein, we address this shortcoming through a consumer case study methodology analysing a variety of data sources pertaining to PGo in Australia.

The development of the P2D_PMG model provides a new conceptual framework to illustrate the distinct forms discontinuance manifests in, for the first time. Scholarly rigour of the P2D_PMGs is achieved through validating and extending Soliman and Rinta-Kahila's (2020) framework for ‘discontinuance’ through its five forms. These forms are revealed as access and on-boarding (rejection), disconfirmation and hedonic adaptation (regressive discontinuance), technological, social, third parties, and personal issues (quitting), re-occurrences of hedonic adaptation (temporary), and alternatives and iterations (replacement).

Conceptual contributions are made in developing a model to explain what drives PMG discontinuance and when it occurs. This is particularly crucial for products with revenue structures built on continual usage, instead of initial adoption. In deriving data from actual players and aggregate user behaviour over an extended time period, the innovative case study methodology validates new discontinuance research in a manner other methods cannot. Managerial implications highlight the importance of CX, alpha/beta testing, promotion and research, gameplay design and collaboration/community engagement.

Wearable health information systems (IS) open up a new era for personal health self-management, and bring about disruptive changes to individual lives. However, prior studies on IS post-adoptive behavior primarily focused on either continuance or discontinuance, neglecting the mutual transformation process between IS usage and rejection behavior. This behavior is expressed as intermittent discontinuance in the current study. By revising and extending the expectation-disconfirmation model, the purpose of this paper is to understand the factors affecting information system intermittent discontinuance in the context of wearable eHealth.

This study proposes a revised expectation-disconfirmation model by incorporating four new theoretical constructs, i.e. neutral disconfirmation, attitudinal ambivalence, neutral satisfaction, and intermittent discontinuance. An online survey was used to validate the research model, and 428 wearable health device users were recruited in this study.

Empirical results demonstrate that neutral disconfirmation exerts positive effects on neutral satisfaction and attitudinal ambivalence, both of which further have positive effects on intermittent discontinuance. In addition, attitudinal ambivalence also has a positive and significant effect on neutral satisfaction.

This study extends the current understanding on IS post-adoption usage behavior by introducing a new concept, i.e., intermittent discontinuance. In particular, post-adoption usage behavior is viewed as a dynamic process within a changing environment in this study. Some unique features specific to intermittent discontinuance are also identified. In this regard, neutral and conflicting constructs further add new values to IS adoption and diffusion literature. In addition, the integration of eHealth and wearable devices provides a fruitful research context for future research, and this study represents one of the first attempts to empirically explore the intermittent usage problems encountered within this emerging phenomenon.

This exploratory study aims to investigate and identify the factors influencing discontinuance intention among past users of local digital wallets in Brunei Darussalam.

This study uses a mixed-method approach that integrates quantitative and qualitative research method. An online survey is distributed via widely used social media platforms, using purposive sampling to target previous users of local digital wallets. Structured questionnaires capture demographic data, whereas open-ended inquiries delve into reasons for discontinuation. Descriptive analysis will extract the demographic profiles of the samples. Inductive thematic analysis, guided by Braun and Clarke's framework, will extract and analyze qualitative responses to unveil emergent themes. Data saturation, anticipated beyond 12 responses, will signify sample adequacy.

Demographic profiles based on gender, age and payment preferences of discontinuers supplement the justification for identified themes influencing digital wallet discontinuation in Brunei Darussalam. These themes include “Acceptability Challenge,” highlighting limited vendor acceptance; “Financial Management and Security Issues,” revealing concerns over impulsive buying behavior and security robustness; “Limited Benefits,” referring to short-term interest driven by promotional benefits; “Technological Inertia,” emphasizing reluctance to change from conventional payment methods and “Technical Challenges,” encompassing internet connectivity and operational functionality issues.

This study acknowledges few limitations, including a limited number of respondents, comprising majorly of the younger age groups and females. Self-reported data usage introduces potential response bias, impacting result validity. The qualitative approach limits comprehensive understanding, suggesting validation through quantitative correlational studies. Additionally, the cross-sectional design restricts insight into the dynamic nature of digital wallet discontinuance in Brunei, suggesting the need for longitudinal studies.

The findings of this study offer valuable insights for digital wallet providers, policymakers and businesses operating within the realm of Brunei Darussalam. By tackling pertinent issues such as vendor acceptance, financial security and promotional incentives, stakeholders can effectively improve user experiences and mitigate intentions of discontinuing usage. Recommended strategies encompass the enlargement of vendor networks, the implementation of stringent security measures and the customization of promotional campaigns. Furthermore, comprehending demographic inclinations enables the tailoring of offerings, thereby fostering enduring adoption rates.

This study’s findings hold social significance for financial inclusion, technological literacy and consumer empowerment in Brunei Darussalam. Overcoming barriers to digital wallet adoption, such as limited vendor acceptance, promotes financial inclusion in the long run. Improved understanding of digital wallets enhances technological literacy and empowers users to make informed decisions. By catering to diverse demographic needs, stakeholders can promote social equity and ensure widespread access to digital payment benefits, thus positively impacting Brunei Darussalam’s socioeconomic landscape.

This study contributes to the existing knowledge gap on digital wallet discontinuance in Brunei Darussalam. By uncovering key themes and factors influencing past users’ decisions, it advances understanding in the context of postadoption dynamics. The study provides valuable insights for local and global fintech adoption strategies.

Cryptocurrency, an important application of blockchain technology, has gradually circulated, and its use has become widespread. While cryptocurrency is growing rapidly, potential risks are simultaneously emerging. Users thus may abandon their usage behavior of cryptocurrency, hindering the future development of cryptocurrency. While prior studies focus more on the intention to use cryptocurrency in the pre-adoption phase, less studies pay attention to discontinuance usage intention in the post-adoption phase. To fill this knowledge gap, this stfudy aims to explore factors that cause discontinuance usage intention regarding cryptocurrency.

Based on the net valence framework theoretically grounded on the theory of reason action, a dilemmatic dual-factor model is proposed to figure out cryptocurrency users' discontinuance usage intention from the perceived risk and perceived benefit. This study identifies four potential risks and three potential benefits that affect perceived risk and benefit. The model with nine hypotheses were developed, and research data were collected by a survey method. A total of 343 valid responses were received, and PLS-SEM with SmartPLS was utilized to test the nine hypotheses, with seven hypotheses supported empirically.

Our findings demonstrate that financial, legal and operational risks are critical to increase users' perceived risk, and perceived usefulness and seamless transactions play important roles in enhancing users' perceived benefit. Moreover, while perceived risk can increase users' discontinuance usage intention to cryptocurrency, perceived benefit can mitigate such intention.

This study contributes nascent knowledge to the literature by examining factors that influence discontinuous usage intention in regard to cryptocurrencies, to firms that have issued or attempted to issue cryptocurrencies and to the potential users of cryptocurrencies by adjusting the mode of operation and investment strategies and reducing user costs, achieving a win-win situation for firms and users.

As the application of gamification is gaining great attention and has grown increasingly, thousands of these applications can be easily obtained from mobile phone stores, thus causing intensified competition and discontinuance of use accordingly. Besides, though understanding what factors influence the discontinuance of use of information systems (ISs) is critical for theoretical as well as practical reasons, studies pertaining to the saliency of the final phase, termination of an IS, are still limited. As such, the purpose of this paper is to propose a holistic view to fulfill the above-mentioned research gaps based on the expectation-confirmation model with other salient factors such regret, habit and gamification app values.

The context of a fitness gamification app is investigated. A total of 210 valid responses were received, and structural equation modeling was applied for data analysis.

The findings of this paper are as follows: among all factors influencing discontinuance intention, regret is the strongest, habit is second and gamification is third; among all factors affecting user satisfaction, gamification app value is the strongest, confirmation is second, perceived usefulness (PU) and perceived ease of use are third and regret is the last one; for factors influencing users’ habits, satisfaction is the strongest, following by PU and frequency of prior use; confirmation negatively influences the degree of regret; and confirmation positively influences PU.

This study highlights the important determinants influencing users’ discontinuance intentions in the context of gamification apps by incorporating two overlooked factors, regret and habit. Besides, this study suggests that app designers can not only increase user’s perceived value through external cooperation with other alternatives, but can be through internal enhancement with diverse services development as well.

Social networking services (SNSs) have become deeply ingrained into our daily life. However, it has often been reported that users experience negative feelings regarding SNS usage. This phenomenon presents challenges for SNS providers in retaining or increasing their customer base. This study focuses on SNS fatigue, a negative psychological state that can lead to discontinuance intention among SNS users. This study proposes two distinctive SNS-specific contexts and investigates how they alleviate the negative effect of SNS fatigue on user behavior.

Drawing upon the context-specific theorization perspective, a model involving moderation effects of the SNS-specific contexts on the relationship between user's SNS fatigue and discontinuance intention was proposed. The model was tested using survey data of active SNS users.

The results indicate that SNS fatigue leads to user discontinuance intention. However, the SNS-specific contexts, such as social interaction context and platform service context, negatively moderate the relationship between SNS fatigue and user discontinuance intention.

The findings of this study are expected to help SNS providers develop strategies to improve their services for effective user retention.