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The demand for over-the-top (OTT) video streaming services has grown manifold in the last few years. With increasing competition in the OTT market, it is vitally important for businesses to understand OTT retail consumers' continuance intentions. This study aims to understand the antecedents of the continuance intention of OTT platforms and distinguish the most essential and best-performing predictor variables of continuance intention.

The study employs an integrated research model based on the theory of planned behavior (TPB), flow theory and habit. Data collected from OTT retail consumers (n = 383) using the online survey method are analyzed using partial least squares structural equation modeling.

The results elucidated which TPB antecedents and dimensions of flow experience affect OTT platforms' continuance intention. The most important factors affecting continuance intention were habit, attitude and perceived behavioral control, while the best-performing factors were perceived behavioral control, perceived enjoyment and attitude.

The study is unique in harmoniously integrating conscious cognitive intention, intrinsic motivation and habit of performing an activity to explain OTT platforms' continuance intention.

Social networking sites (SNSs) continue to grow in popularity with competition in the market growing as well. The purpose of this paper is to examine three research questions to determine how competition within the SNS area may affect the continuance intention on the incumbent SNS, Facebook. The first question examines the relationship between having an account on one of the four different SNSs and the impact on continuance intention. The second question examines attitudes toward specific alternatives and continuance intention on the incumbent SNS. The third question takes a broader examination of general attitudes about alternative attractiveness and attitude toward switching to predict continuance intention. A post hoc analysis was conducted to further understand the impact of specific SNS alternative attitudes on general attitudes.

Based on a survey of 918 users, this research examines the three questions using various methods including ANCOVA to examine question 1 and multiple structural equation models to examine questions 2, 3 and the post hoc analysis.

The analysis of the models suggests that both alternative attractiveness and attitude toward switching have the greatest impact on the continuance intention of the incumbent site. Specific sites were found to be complements or substitutes for the incumbent. The viewing of the specific alternative site as an alternative to Facebook had a negative impact on continuance intention. The general model of alternative attractiveness and attitude toward switching explained a moderate to substantial amount of continuance intention.

Although use and abandonment of SNSs have been examined extensively, minimal attention has been given to the impact that alternative SNSs have on continuance intentions of a user’s primary SNS.

This research set out to investigate the quality service and self-determination theory (SDT) that contributes to the continuance usage of m-banking.

A valid of 310 respondents who experienced and intensified using the m-banking is collected. The proposed research model is empirically tested using structural equation modelling.

The result informs that the service quality can not only be significantly mediated by the SDT, but it also has a direct effect to the satisfaction. It also informs that the satisfaction and the perceived usefulness indeed have a significant effect to the continuance usage intention of the m-banking. In addition, it also demonstrates that the perceived competence and perceived relatedness of the SDT significantly influence satisfaction and perceived usefulness towards the continuance usage intention of the m-banking.

Practically, the results inform the bank management the factors to be taken into account to increase the motivation of the existing customers for them to continue using the m-banking.

Theoretically, these results contribute to the existing literatures of the m-banking by introducing the SDT that determines the continuance usage intention of it.

Recent technological advances have led to the growing popularity of traffic-related social media platforms which facilitate drivers to easily share, consume and exchange traffic information instead of the traditional ways using TV or radio. By integrating the information systems success model, social capital theory and dedication-based commitment mechanism, the purpose of this paper is to examine the varying degree of effectiveness in maintaining user’s continuance intention between two different social media platforms for traffic information.

The data were collected through online questionnaires from two platforms. One is a multi-channel traffic information community that has been specialized in traffic information for many years and has adopted several kinds of social media to engage with its audience. The other is a community-based traffic application created to help people exchange and contribute traffic information with real-time navigation.

The findings show that the effects of satisfaction and affective commitment on continuance intention are stronger in the community-based traffic application while their antecedents play different roles in shaping satisfaction and affective commitment due to the nature and characteristics of these two groups.

This study will be the first attempt to understand what matters to users and what can retain users to routinely use a specific traffic-related social media platform in their daily lives. This is also one of the first empirical studies that examine both transactional and relational points of view on users’ continuance intention.

This study aims to describe, synthesise and clarify the findings of published studies on individual continuance intention to use an information system (IS), considering the fact that the number of studies in the continuance intention context are growing exponentially and cover several different subjects.

The research uses meta- and weight analysis by taking 115 empirical studies from continuance intention to use an IS. The data are presented in different views using significant and non-significant relationships from all the studies. Furthermore, it uses hierarchical linear meta-analysis to analyse potential moderators that can influence continuance intention.

The results reveal that affective commitment, attitude, satisfaction, hedonic value and flow are the best predictors of continuance intention to use an IS. Sample size, individualism, uncertainty avoidance and long-term orientation moderate the relationship of perceived usefulness on continuance intention. Power distance, masculinity and indulgence moderate relationship satisfaction on continuance intention.

The results reveal that continuance intention to use an IS has been studied in different countries, with different cultures; therefore, IS providers should have diversified managing strategies, to ensure the satisfaction of users and long-term usage of their IS.

The study provides a systematic overview of the most relevant variables used in the literature, including a temporal analysis of the theoretical models, highlighting the evolution of the constructs and presents a moderation analysis.

Although many studies have sought to address the topic of continuance intention among Fintech customers, the reported findings are fragmented. Therefore, the present study proposes a research model that integrates the main constructs involved in Fintech continuance intention.

The current study uses a meta-analytic-based correlation analysis of effect sizes, meta-regression analysis and meta-analytic structural equation modeling, with 247 effect sizes in 69 studies involving 26,140 respondents.

The results reveal continuance intention is driven by satisfaction and trust, with ease of use and usefulness being antecedents of satisfaction and trust. The authors also found evidence to show satisfaction partially mediates the relationship between ease of use and continuance intention and that trust fully mediates the relationship between ease of use and continuance intention and partially mediates the relationship between usefulness and continuance intention. In addition, the authors found that in Western countries, with higher Human Development Index levels and greater of use of electronic payment, satisfaction has more impact on continuance intention.

From a theoretical standpoint, this meta-analytic study has implications for the literature on Fintech by offering an empirical generalization on the strength of the antecedents of Fintech continuance intentions and by testing possible moderators in a wide range of countries and studies. In other words, this study’s goal is to broaden the scope of the research. Regarding managerial implications, it is important to listen to user opinions regarding the positive and negative points of their experience with these technologies and take them into consideration when planning improvements. Additionally, the analysis shows the importance of using data from user interaction with technology, obtained, for example, through big data analytics, whereby companies can see how users behave, how much time they spend accessing certain functions and which technological features they use most, and thus seek to improve whatever is needed.

This meta-analytic study advances the understanding of Fintech continuance intentions. Using the proposed approach, it is possible to generate accurate estimates of the effect size of each analyzed antecedent as the meta-analytic method jointly evaluates the results produced by a wide variety of studies performed in different contexts, allowing more accurate conclusions to be drawn.

Gamification applications (apps) are gaining great attention in many contexts and have grown increasingly. Despite their significant role in many settings, prior research mainly focused on initial adoption, and there are limited studies on the post-adoption stage. This study aims to explore the factors influencing individuals’ continuance intention to use gamified task manager apps, drawing on the technology continuance theory (TCT) by integrating enjoyment, habit and social influence.

Data were obtained from 318 Malaysian who had prior experience with task management gamified apps and analysed with the partial least squares approach.

According to the results, confirmation, perceived usefulness (PU) and enjoyment positively influence satisfaction. PU, enjoyment, satisfaction and social influence affect attitude, while the result failed to confirm the association between perceived ease of use and attitude. Furthermore, PU, attitude and habit are strong determinants of users’ continuance intention. Moreover, continuance intention was not predicted by users’ satisfaction and social influence.

The findings provide directions for developers and marketers of gamified task manager apps. Besides the technological and functional benefits of applications, they should also consider social, hedonic and individual factors in the designing and marketing stages.

This study extends the literature by assessing the determinants of continuous intention to use gamified task manager apps; and extending the TCT in the context of gamification by incorporating three contextual factors, namely, perceived enjoyment, social influence and habit.

Although studies have investigated reasons for software as a service (SaaS) adoption, it is unclear how firm-level SaaS use impacts future SaaS intentions. The purpose of this paper is to propose a theoretical model that integrates the technology-organization-environment framework, institutional theory, diffusion-of-innovation theory and the opportunity-risk framework to analyze the drivers of SaaS use and its continuance intention.

The authors evaluated the direct, moderating and mediating effects of determinants on SaaS continuance intentions using structural equation modeling and data from 301 firms.

Results found that top management support and normative pressures influenced SaaS use. Cost saving and security concerns were direct predictors of perceived opportunities and perceived risks, respectively. Perceived opportunities and risks and actual SaaS use influenced SaaS continuance. Interestingly, perceived opportunities were found to be a negative moderator on the relationship between SaaS use and SaaS continuance.

The results reveal insightful and controversial findings for SaaS research.

The long-term development of a mobile gaming application (app) depends on its continued use by its users. The expectation–confirmation model of IS continuance was used as the basic framework, to which bi-dimensional consumption emotions were added to help better explain satisfaction judgment and continuance intention in the context of mobile gaming app use. The paper aims to discuss this issue.

The data were analyzed using structural equation models. The effects of positive consumption emotions and negative consumption emotions were examined, respectively, in Models 1 and 2. Competing models (Models 3 and 4) were also examined in order to compare the proposed model.

Both PE and NE have an effect on the satisfaction of mobile gaming app users and their continued usage intention, a finding that represents an important contribution to the extension of technology continuance theory. Comparison with the IS continuance model shows that the new model can explain significantly more variance in continuance intention.

Mobile gaming firms should pay attention to users’ consumption emotions, especially negative emotions. Some specific emotions involved in mobile gaming app use were identified, which could guide firms’ understanding of users’ emotions.

This study offers insight into the role of consumption emotions in forming continuance intentions toward mobile gaming app use in China, a topic that has not previously been investigated.

The purpose of this study is to clarify theory and identify factors that could explain the level of fintech continuance intentions with an expectation confirmation model that integrates self-efficacy theory.

With data collected from 753 fintech users, this study applies partial least square structural equation modeling to compare and select the research model with the most predictive power.

The results show that financial self-efficacy, technological self-efficacy and confirmation positively affect perceived usefulness. Among these factors, financial self-efficacy and technological self-efficacy have both direct and indirect effects through confirmation on perceived usefulness. Perceived usefulness and confirmation are positively related to satisfaction. Finally, perceived usefulness and satisfaction positively influence fintech continuance intentions.

To the best of our knowledge, this is one of the earliest studies that investigates the effect of domain-specific self-efficacy on fintech continuance intentions, which enriches the existing research on fintech and deepens our understanding of users' fintech continuance intentions. We distinguish between financial self-efficacy and technological self-efficacy and specify the relationship between self-efficacy and continuance intentions. Moreover, this study highlights the importance of assessing a model's predictive power using the PLSpredict technique and provides a reference for model selection.