Discontinuance Intention Research Articles

Expectation-Reality Gap in Information Technology Discontinuance Intention

ABSTRACT Discontinuance intention has been reported as a major concern in the context of manufacturing SMEs. This study examines why user SMEs decide to discontinue the incumbent technology. The study employed the theoretical lens of diffusion of innovation theory, disenchantment-enchantment model, and technology-organization-environment model to develop an integrated Expectation-Reality gap (E-R gap) framework. The research model was examined using data gathered through a cross-sectional survey of 300 SMEs in the Indian manufacturing industry. We found E-R gap in compatibility, technology cost, government support, and ease of use are key reasons for the post-adoption disenchantment of SMEs. Further, we found that disenchanted SMEs’ discontinuance intentions are quite strong, and they are more likely to quit from adopted technology shortly. Information systems (IS) researchers can extend the E-R gap model to assess the phenomena of discontinuance intentions in other NIE contexts. Implications for research and practice are discussed.

Abandoning ship? A study of registered and nonregistered library users’ intention to discontinue using Facebook

The purpose of the current research was to investigate Facebook discontinuance intentions in the Library and Information Science environment. The research model, building on the Theory of Planned Behavior, incorporated overload, fatigue, and self-efficacy, to understand the drivers behind users’ intention to stop using Facebook (either permanently or intermittently) or replace it with another social medium. Overall, the results suggest that participants are unlikely to abandon Facebook either on a permanent or a temporary basis, at least in the near future. Furthermore, users’ discontinuance intentions are primarily associated with evaluations about the consequences of their choice to abandon the medium.

대학태권도 지도자-선수 교환관계(LMX)와 지도자신뢰 및 운동포기의도의 관계

This study was designed to find the relationship between the structural relationship between University Taekwondo coach-player exchange(LMX), coach trust, exercise discontinuance intention . To test this 229 University Taekwondo players are sampled. The resulting data were processed by means of frequency analysis, confirmatory factor analysis, correlation analysis, structure modeling analysis using SPSS 22.0 and AMOS 22.0 program. Results derived from the researches based on the aforementioned methods and data analyses are as follows: First, University Taekwondo coach-player exchange(LMX) had positive effect on coach trust. Second, University Taekwondo coach-player exchange(LMX) had negative effect on exercise discontinuance intention. Third, University Taekwondo coach trust had not significant effect on exercise discontinuance intention. Fourth, University Taekwondo coach-player exchange(LMX) had not effect on exercise discontinuance intention through coach trust.

Online communities and discontinuance of information technology-enabled on-demand workers: Impacts of informal social interactions through dual commitments

The on-demand economy (or gig economy) is touted “the future of work” characterized by heterogeneous laborers “on the cloud.” Turnover intention (TI) models have been developed to describe employees in the conventional settings and thus may be insufficient for understanding on-demand workers. This study aims to fill this important gap and beyond. We derive a model of discontinuance intention (DI) where job satisfaction is a prominent mediator of the effect of reward fairness. We further theorize and test how and why on-demand workers’ dual commitments toward their online communities arising from workers’ informal social interactions (ISI) may create boundary conditions for the mediating role of job satisfaction. Data were collected from a large sample of 1493 on-demand workers over a four-year span and facilitated the analysis of a moderated mediation model. Results indicate that job satisfaction largely mediates a negative relationship between workers’ perceptions that their rewards are just (i.e., fairness of rewards) and their intention to discontinue work for the on-demand firm. Moreover, workers’ dual commitments toward their online peer communities (OPCs) disrupted this mediating effect. More interestingly, the dual commitments did not moderate the mediation path equally. Overall, our theoretical model and empirical results delineate how discontinuance intention can be affected by a parsimonious set of antecedents in the context of the on-demand economy.

An Empirical Investigation of Virtual Networking Sites Discontinuance Intention: Stimuli Organism Response-Based Implication of User Negative Disconfirmation.

The study’s prime objective is to investigate the user discontinuance intention in the shed of the negative disconfirmation of user expectation. The study has derived the theoretical structure from the expectancy disconfirmation theory (EDT) enacted through the stimuli organism response (SOR) framework to study the actual cause and effect relationship of human behavioral response. To investigate the user discontinuance intention behavioral response, a total of 434 correct and complete answers were shortlisted for analysis. To examine the data set, the study has used the modern partial least square method technique or simply SmartPLS service package to run the structural equation modeling (SEM). Moreover, the study has implied the 80/20 rule run the mediating analysis of the SOR framework. The statistical results show that all three stimuli make significant positive disconfirmation of the user beliefs in terms of dissatisfaction and the anxiety that ultimately leads to the discontinuance intention in virtual network users. Further, these results are validated through the six mediating relationships, which partially mediate the relationship between the stimuli and response. Besides all these findings, this study has made some practical and realistic theoretical and practical implications for both researchers and service-providing managers.

Effects of SNS overload and dissatisfaction on job performance and discontinuous usage intention

PurposeThe purpose of this paper is to investigate the effects of social network sites (SNS) overload on individual job performance and discontinuous usage intention.Design/methodology/approachBased on the Stressor-Strain-Outcome (SSO) framework, a research model was proposed and tested empirically. The partial least squares structural equation modeling (PLS-SEM) method was applied to data collected online through a questionnaire.FindingsFindings highlighted that social overload is related positively to information overload and communication overload. Information overload affected only the perception of work overload, while communication overload was a significant stressor affecting work overload and dissatisfaction towards SNS. Although results revealed a positive relationship between these two strains, only dissatisfaction influenced job performance and discontinuous usage intention.Originality/valueAs much as SNS are a useful tool in the workplace, they can have significant drawbacks. Prior studies have investigated this dark side. However, they scantily explored the effects of SNS overload on both job performance and discontinuous usage intention. Moreover, the relationships between types of overload are understudied. This paper proposes an enrichment of the literature by validating a model of the relationships between information overload, communication overload and social overload, job performance and discontinuous usage intention. It extends prior research on SNS stressors and points out the communication overload as the main SNS stressor affecting strains in the workplace.

Dilemmatic dual-factor determinants of discontinuous intention in cryptocurrency usage

PurposeCryptocurrency, 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.Design/methodology/approachBased 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.FindingsOur 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.Originality/valueThis 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.

Untangling the Adverse Effect of SNS Stressors on Academic Performance and Its Impact on Students’ Social Media Discontinuation Intention: The Moderating Role of Guilt

In recent research on information systems (IS), the advantages of social networking sites (SNS) in the education field have received widespread attention. However, excessive use of SNSs will negatively impact students academic performance, leading to the discontinuation intentions of social media. Therefore, this study aims to investigate an extended research model drawing on the stress-strain-outcome (SSO) theory and transactional model of stress to examine the adverse effect of SNS stressors on academic performance. The required data from the target population was collected through a structured questionnaire. The valid sample size of this study was n = 505 respondents. The data were analyzed using structural equation modeling (SEM) in AMOS (version 23.0) to examine the study hypotheses. The results confirmed that the SNS stressors, namely, social overload, information overload, and system feature overload, induce strain in terms of poor academic performance by generating feelings of guilt. It also unravels the effect of guilt feelings on discontinuance intention indirectly. This study offers imperative theoretical and practical implications.

Factors Influencing Discontinuance Intention of Community Group Buying Against the Backdrop of Antimonopoly Policy for the Platform Economy

Factors Influencing Discontinuance Intention of Community Group Buying Against the Backdrop of Antimonopoly Policy for the Platform Economy

Impact of Compulsive Use of Mobile Social Networking Sites on Discontinuous Intentions of Users: A Perspective of Stressor-Strain-Outcome Model

Impact of Compulsive Use of Mobile Social Networking Sites on Discontinuous Intentions of Users: A Perspective of Stressor-Strain-Outcome Model

Impact of compulsive use of mobile social networking sites on discontinuous intentions of users: a perspective of stressor-strain-outcome model

Cumulative evidence has demonstrated that compulsive use of mobile social networking site (SNS) applications, in particular among emerging adults, is a growing problem. Therefore, we propose a research model based on the stressor-strain-outcome (SSO) framework to explore the impact of compulsive use of mobile SNS applications on discontinuous intentions of SNS users. To test the proposed model and hypothesis, 956 mobile SNS users in China participated in the study. Findings reveal that compulsive use of mobile SNSs directly impacts techno-exhaustion and also a positive significant relationship exists between techno-exhaustion and discontinuous intentions of SNS users. The moderation analysis shows that social support weakens the relationship between compulsive use of mobile SNSs and techno-exhaustion. Implications emphasise that social, emotional and information support on SNS platforms should be provided to reduce the negative consequences induced through compulsive SNS usage.

Addiction to Social Networking Sites and User Responses

Prior studies have primarily used "variable-centered" perspectives to identify factors underlying user responses to social networking site (SNS) addiction, their predictors and outcomes. This paper extends this perspective by taking a person-centered approach to examine (1) the prototypical subpopulations (profiles) of users' extent of SNS addiction and responses to it, (2) how affiliations with these profiles can explain user behaviors toward SNS use, and (3) how personality traits can predict affiliations with these profiles. To this end, we propose a typological theory of SNS addiction and user responses to it via two empirical, personcentered studies. Study 1 draws on survey data from 188 SNS users to develop a typology of users based on the extent of their SNS addiction and their responses to it. It further examines the relations between affiliation with these profiles and users' SNS discontinuance intention, as a typical behavioral response to SNS addiction. Study 2 uses survey data from 284 SNS users to validate the user typology developed in Study 1 and investigate its relations to users' Big Five personality traits. Our findings shed light on a typology of five prototypical profiles of SNS users-cautious, regular, consonant, dissonant, and hooked-who differ in their extent of SNS addiction and their cognitive, emotional, and behavioral responses to it. Our findings also demonstrate how Big Five personality traits can predict user affiliations with these prototypical profiles.

Effects of social networking site overloads on discontinuous intentions of users: a moderated mediation analysis

ABSTRACT Pervasive social networking sites (SNSs) access has forced people to pay continuous attention to the overwhelming volume of information which ultimately increases their usage. The extensive use of SNSs has contributed to the overuse of technology and that can lead to overload which may produce negative behavioural consequences. This study used cognitive load theory as foundation of the model to examine the effect of overloads and discontinuous intentions incorporating SNS addiction, social media self-efficacy and SNS fatigue. To test the proposed model and hypothesis, a total of 371 Chinese university students participated in the study. Findings reveal that information and communication overload exert a direct impact on SNS addiction, and the relationship between SNS addiction and discontinuous intentions amongst users is negatively significant. The moderated mediation analysis result indicates that social media self-efficacy moderates the mediating effect of SNS addiction between overloads (information and communication) and discontinuous intentions. Moreover, the relationship between SNS addiction and discontinuous intentions is partially mediated by SNS fatigue. Implications emphasise that SNS providers should effectively prevent the negative behavioural response of SNS users by providing training on the effective use of SNSs.

Alleviating the impact of SNS fatigue on user discontinuance

PurposeSocial 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.Design/methodology/approachDrawing 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.FindingsThe 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.Originality/valueThe findings of this study are expected to help SNS providers develop strategies to improve their services for effective user retention.

OVERLOADING IN LOCKDOWN: EFFECTS OF SOCIAL, INFORMATION AND COMMUNICATION OVERLOADS IN COVID-19 DAYS

Many technologies such as Internet, smart tools, social networks have been involved in human life. This increasing prevalence of social networks leaves users facing an overwhelming amount of information, messages, sharing, and social demand. This excess amount is defined as overload. The amount of information constantly flowing in users’ networks, social support and communication requests from others can cause fatigue. Overload in social networks can have behavioral and psychological consequences. In this study, a model was used in the context of the SSO (Stress-Strain-Outcome) framework and the changes caused by social, communication and information overloading in an individual’s attitudes and behaviors were examined. The research was applied in survey technique and 274 participants’ responds analyzed in this study that examined the experiences of social network users during the Covid-19 process. Outliers in the data are arranged by Mahalanobis distance. Before the use of the scales, factor analyses were performed and their validity was measured. According to the results, only information overload has a significant effect on fatigue. Social and communication overloads do not significantly affect fatigue. Fatigue, on the other hand, has a significant relationship with discontinuous intentions. Users who experience information overloading may experience discontinuous intentions towards social networks. However, it cannot be said that social and communication overloads have caused discontinuous intentions. Although users have high averages in social overload and communication overload, it does not cause fatigue in social networks. Users who have to stay in homes, especially during the quarantine period, can continue to spend time on social networks, despite overloads. In terms of gender, women were found to feel more overloaded on social networks. Women experience more communication, information and social overload. In addition, the fatigue and discontinuous intentions averages are significantly higher.

Exploring Consumers’ Discontinuance Intention of Remote Mobile Payments during Post-Adoption Usage: An Empirical Study

Despite being critical to continuous technology usage, research on remote mobile payments (m-payments) post-adoption usage has received much less attention. Furthermore, information systems usage research has traditionally been positively oriented, generally assuming that the inhibiting and enabling factors influencing technology usage as being the opposite sides of one dimension, which may result in overlooking antecedents to technology continuance. Therefore, this study aims to explore the inhibiting factors that may directly influence customers’ intention to discontinue m-payments during post-adoption usage. Drawing on behavioral theories, information systems, and marketing research, this study explores the inhibiting factors directly influencing consumers’ intentions to discontinue using m-payments. Survey data were collected from 254 current users in the UK and the PLS-SEM technique is employed to test hypotheses. The results show that poor quality of system, information, and service, as usage inhibitors, directly influence consumers’ discontinuance intentions. Importantly, usage frequency is found to have no moderating effect on the inhibitors of continuance intention, supporting the notion about different and asymmetric effects that negative factors can have on technology usage compared to positive ones. This interesting finding suggests that negative user experience will have different and asymmetric effects on intentions to use m-payments than positive user experience.

The effects of negative information-related incidents on social media discontinuance intention: Evidence from SEM and fsQCA

Social media have experienced a decline in their number of users. Understanding the antecedents of users’ discontinuance intention can help social media platforms in mitigating them. It is necessary to enrich the theoretical account of social media discontinuance intention from the aspect of negative information-related incidents. With this realization, underpinned by stimulus–organism–response (SOR) framework, the current study examined the interrelationships of negative information-related incidents, social media fatigue, perceived information overload, and social media discontinuance intention. The proposed hypotheses were verified by analyzing the responses of 328 Weibo users through structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). According to the SEM results, all negative-related information incidents can explain perceived information overload and social media fatigue, which in turn lead to discontinuance intention. The fsQCA findings also confirmed the significance of discontinuance intention determinants and provided the configurations that enhanced discontinuance intention. These findings can assist social media managers in developing unique strategies to address the specific needs of social media users.

A two-factor theoretical model of social media discontinuance: role of regret, inertia, and their antecedents

PurposeAlthough 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.Design/methodology/approachThe proposed theoretical model was empirically validated through an online survey study of 238 social media users in China.FindingsFindings 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.Originality/valueThis 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.

Exploring the drivers of brand fan page follower discontinuance intention: an adaptation of the Furneaux and Wade's framework

PurposeMany 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.Design/methodology/approachAn 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.FindingsThe 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.Originality/valueOur 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.

The buffering effect of flow experience on the relationship between overload and social media users’ discontinuance intentions

There is a growing need to understand why users discontinue using social media platforms. Understanding the antecedents of such decisions and the moderators that govern the antecedent effects can help users reach such decisions, and assist service providers in mitigating them. From a theoretical standpoint, there is a need to enrich the theoretical account of social media discontinuance phenomena. To address these issues, we integrate the “stimulus-organism-response” (S-O-R) framework and flow theory. We consequently portray the direct, indirect and moderating roles of flow experience in mitigating discontinuance intentions. We test this model via a survey of 502 WeChat users. The results support the S-O-R model and indicate that social overload, information overload, and communication overload (stimuli) increase the fatigue feelings (organism) of social media users, which, in turn, increase their social media discontinuance intentions (response). By combining the S-O-R perspective with flow theory, we show that flow experience not only help reduce users’ perceptions of fatigue and discontinuance intentions, but also moderate (weaken) the effects of fatigue on discontinuance intentions. Flow experience, therefore, serves as a means to inhibit the formation of social media discontinuance intentions, even when overload and fatigue persist. The present research also has several valuable theoretical and practical implications.