• Asia pacific journal of information systems
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• v.20 no.3
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• pp.73-90
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• 2010

Although research on acceptance of information systems provides useful insights in understanding users' behavior, we need to further understand factors that cause long-term or continued use. This article therefore examines the role of users' maximizing tendency (i.e., individual differences in pursuing the best option) in continuance intention of Web sites. By controlling for disconfirmation, ease of use, and product involvement, we empirically investigate the relationships between satisfaction, usefulness, and continuance intention to online bookstore Web sites. As suggested by the information technology continuance model, the effects of satisfaction to and perceived usefulness on continuance intention to Web sites are positive for individuals with low maximizing tendency (i.e., satisficers). Satisfaction and usefulness, however, are not associated with continuance intention for individuals with a high maximizing tendency (i.e., maximizers). The implications for both researchers and practitioners are discussed.

• Journal of the Korea Society of Computer and Information
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• v.21 no.2
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• pp.113-122
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• 2016

This study investigates how anticipated value(attainment value, intrinsic value, utility value, and reward value) and self-efficacy in providing information have an influence on continuance intention to provide information in the context of online community or social media. We propose a conceptual model for examining the framework for the effect of anticipated value on attitude toward providing information, and the effect of attitude toward providing information and self-efficacy in providing information on continuance intention to provide information. Proposed research model is empirically assessed using the survey data obtained from 221 respondents in Korea. Results show that attainment value and intrinsic value have a significant impact on attitude toward providing information, whereas utility value and reward value are found to be insignificant. In addition, attitude toward providing information and self-efficacy in providing information are positively and significantly related to continuance intention to provide information.

• The Journal of Information Systems
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• v.31 no.3
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• pp.153-176
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• 2022

Purpose This study aims to identify and empirically prove the factors and influence relationships that affect the intention to continue using the video conferencing solution. Design/methodology/approach This study designed a research model by integrating self-efficacy, facilitation condition, event-related fear, and social influencing factors based on the post-acceptance model of IT continuance that explained the relationship between disconfirmation, post-usage usefulness, satisfaction, and continuance intention. Findings As a result of empirical analysis, in this study, it was confirmed that positive disconfirmation and post-usage usefulness had a positive effect on satisfaction, and satisfaction had a positive effect on continuance intention. In addition, we confirmed that self-efficacy and social influence had a positive effect on continuance intention, but event-related fear and facilitating condition had no significant effect.

• Journal of the Korea Society of Computer and Information
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• v.20 no.7
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• pp.65-76
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• 2015

This study investigates predictors of continuance intention and purchase intention in mobile application(App) stores. This study identifies the structural relationships among app store quality, user habit, switching costs, user loyalty, continuance intention, and purchase intention in mobile application stores. The results indicate that user loyalty increases continuance intention and purchase intention and that user habit positively affects perceived switching costs and user loyalty. App store quality is a formative construct including quality of content, ease of use, and security. App store quality affects user habit positively. This study theoretically and practically contributes to the integration of influential factors for continuance intention as well as purchase intention.

• Knowledge Management Research
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• v.12 no.4
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• pp.41-54
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• 2011

Given the prevalence of home trading systems, it has become important to examine user behaviors in a stock investment environment. In this vein, this paper developed an integrated model to deeply understand the key determinants of user's continuance intention to use investment information through constructs prescribed by incorporating trust and perceived risk into expectation-confirmation model. The proposed research model was tested by using survey data collected from 160 users who have experience with stock investment. PLS (partial least squares) was employed for the analysis of the data. The findings of this study showed that the proposed framework provides a statistically significant explanation of the variation in continuance intention to search investment information. The findings revealed that trust and perceived risk are more prevalent predictors of continuance intention to use investment information compared to perceived usefulness. It was also found that user satisfaction serves as the salient antecedents of continuance intention to use investment information. The theoretical and practical implications of the findings were described.

• Journal of the Korea Society of Computer and Information
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• v.23 no.1
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• pp.123-129
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• 2018

The purpose of this paper is to investigate the influence of utilitarian, hedonic and social motivations on continuance intention to use cloud services. To do this, this study built a research model and examined how ease of use, usefulness, enjoyment, social influence affect the continuance usage intention of cloud services. The survey method was used for this paper, and data from a total of 82 university students were used for the analysis. And structural equation model was used to analyze the data. The results of this empirical study is summarized as followings. First, enjoyment has a direct effect on the continuance usage intention of cloud services. Second, social influence has a direct effect on the continuance usage intention. Further, it will provide meaning suggestion point of the importance of not only utilitarian motivation but also hedonic and social motivations in establishing the use policy of cloud services.

• The Journal of Information Systems
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• v.25 no.4
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• pp.1-21
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• 2016

Purpose The study analyzed the factors affecting continuance use and self-disclosure in the SNS(social networking service) context based on a dual-factor model. As SNS users have concerned privacy for a long time, privacy concern affects continuous use and self-disclosure. In details, concern over privacy may have a stronger effect on self-disclosure than on continuance use as users' personal information can be more exposed during posting their dailies and photos. Design/Methodology/Approach SNS benefits, trust in SNS providers, and social influence are served as the key enablers and privacy concern as the inhibitor. Moreover, the relative impacts of SNS benefits and privacy concern on continuance use and self-disclosure were analysed in this study. From the data of 327 Facebook users, the researchers tested proposed theoretical model by using PLS. Findings Users' continuance intention and self-disclosure behavior are differently affected by different antecedents. Trust in SNS provider had a significant effect on self-disclosure intention, while it has no significant effect on continuance intention. Concern over privacy was negatively related to self-disclosure intention, while it was positively associated with continuance intention.

• The Journal of Information Systems
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• v.20 no.4
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• pp.1-22
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• 2011

This study addressed trust to collective intelligence for explaining the affecting factors to the intention to use of collective intelligence by dividing the object of trust into a Web site and an information source group. We explored the factors affecting user's continuance intention toward collective intelligence in the view off trust building. We made a well-structured survey of our proposed model and gained 205 cases. We analyzed the proposed research model empirically using partial least square method. The findings are summarized as follows. First, all key factors (relevance, timeless, completeness, understandability) composing of collective intelligence quality have a positive and significant impact on confirmation. Second, confirmation has a significant impact on trust toward a Web site, as well as toward an information source group. The last is that trust toward a Web site influences on continuance intention, whereas trust toward an information source group doesn't.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.77-89
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• 2020

This study examined how the quality of TikTok service affects user satisfaction and continuance intention. This study classified the quality of Tiktok service as service quality, information quality, and system quality, and examined the effect of each dimension on user satisfaction and continuous intention. In addition, the role of perceived commercial viability was also examined. In this study, we conduced an online survey on 237 Chinese TikTok users and analyzed the data with the SEM and a moderated regression analysis. Results are as follows. First, information quality and system quality are positively associated with user satisfaction. Second, information quality is positively associated with continuance intention. Third, user satisfaction fully mediates system quality and continuance intention, and it partially mediates information quality and continuance intention. Fourth, although user satisfaction is positively associated with continuance intention, commercial viability does not function as a moderating variable.

• Journal of Information Technology Services
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• v.12 no.4
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• pp.399-422
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• 2013

The aim of this study is to find the model that best explains members' continued use intention in virtual communities by comparing technical and social perspectives applied in IS context. With the eight major variables identified from prior studies, four alternative models were formulated:1) A base model from Information Systems (IS) continuance perspective, 2) IS continuance model with technology-acceptance perspective, 3) IS continuance model with social-capital perspective, and 4) IS continuance model with socio-technical combined perspective. The adequacies of these four models with different perspective highlighted were tested using survey data collected from virtual community users in Korea. The findings indicated that the IS continuance model and social-capital perspective is the most efficient model that best explains the members' continued use intention in virtual communities.