Factors influencing continuance intention to use social network sites: The Facebook case

Mouakket, Samar

doi:10.1016/j.chb.2015.06.045

Cited by 212 publications

(172 citation statements)

References 58 publications

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“…The representativeness of ECM has been substantiated more than once [45,54,55]. According to differences of research objects, prior scholars have built different research models on the basis of ECM, and combining the technology acceptance theory, IS success model, e-commerce trust theory, value perception theory and self-efficacy theory to study the user's continued use intention of different information systems, including mobile apps [56], online learning platforms [52,57,58], or web-based service systems [59][60][61].…”

Section: Expectation Confirmation Modelmentioning

confidence: 99%

Knowledge Sharing Platforms: An Empirical Study of the Factors Affecting Continued Use Intention

et al. 2020

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Under the background of the constant development of sharing economy and constant upgrade of Internet technologies, various knowledge sharing platforms have emerged in recent years. As a new form for sharing economy, knowledge sharing platforms have made great strides, thus, providing new channels of knowledge acquisition, knowledge sharing and individual knowledge storage for users. Nevertheless, knowledge sharing platforms are still faced with problems, such as uneven product quality (Content quality) and poor user experience. Therefore, how to maintain consumers' continued use intention without impairing consumer satisfaction has obviously become an issue of great concern on the development path of knowledge sharing platforms. Based on the expectation confirmation theory (ECT) and information system (IS) success model, and integrating major characteristics of knowledge sharing platforms, the conceptual models and hypotheses influencing consumers' continued use intention of knowledge sharing platforms are built to study primary factors affecting consumers' continued use intention. Through online and offline questionnaires, 428 copies were collected online, and 150 copies were collected offline, with a total of 578 copies recovered. We deleted some questionnaires with untrue and contradictory answers, because these interviewees might not have carefully read. A questionnaire is conducted with 512 valid copies collected from respondents. At the same time, the structural equation model (SEM) is used to verify and analyze hypotheses. Results show that various variables have a direct or indirect influence on consumers' continued our intention. Meanwhile, it is observed that perceived usefulness and satisfaction degree have a significant influence on continued use intention of knowledge sharing platforms. The higher the satisfaction degree is, the more likely the consumers will continue using knowledge sharing platforms. The expectation confirmation degree exerts an indirect influence on consumers' continued use intention of knowledge sharing platforms via perceived usefulness. The IS success model can also significantly influence consumers' satisfaction degree of knowledge sharing platforms. Additionally, perceived usefulness is observed to have the strongest influence on consumers' continued use intention of knowledge sharing platforms. According to the above research findings, knowledge sharing platforms should strengthen their content quality control, ensure the consistency between service quality and payment, and improve the platform quality. To sum up, this research can provide theoretical bases for sustainable development and follow-up research of the knowledge sharing platform industry.

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Section: Expectation Confirmation Modelmentioning

confidence: 99%

Knowledge Sharing Platforms: An Empirical Study of the Factors Affecting Continued Use Intention

et al. 2020

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“…Therefore, this study has adopted a qualitative approach to unveil the variety of factors that are more important to young Chinese consumers' purchase of smartphone brands. (Bhattacherjee, 2001) Online banking Satisfaction Perceived Usefulness Website Playfulness Satisfaction Perceived Usefulness (Chiu, Hsu, Sun, Lin, & Sun, 2005) e-learning Satisfaction (Roca, Chiu, & Martínez, 2006) e-learning Satisfaction (Limayem et al, 2007) World Wide Web Satisfaction Frequency of past behaviour Comprehensiveness of usage Habit (Liao, Chen, & Yen, 2007) e-service Satisfaction Perceived usefulness Subjective norm Perceived behavioural control (Chiu et al, 2007) e-Learning Satisfaction Procedural Fairness (Roca & Gagné, 2008) e-Learning Perceived Usefulness Perceived Ease of Use Perceived Playfulness (Vatanasombut et al, 2008) Online banking Trust Relationship commitment Self-service technology Satisfaction Subjective norm Perceived behavioral control Optimism (Lee, 2010) e-Learning Satisfaction Perceived Usefulness Subjective Norm Perceived Behavior Control Attitude Concentration (Chou et al, 2010) Online Communities Performance Expectancy Perceived Identity Verification Satisfaction (Fang & Chiu, 2010) Online communities of practice (Venkatesh, Chan, & Thong, 2012) e-government technologies Attitude Perceived Usefulness Effort Expectancy Trust (Zhou, Fang, Vogel, Jin, & Zhang, 2012) Social Virtual World Services Satisfaction Affective Commitment Calculated Commitment (negative) Instant Messaging Perceived Usefulness Satisfaction (Chen et al, 2012) Web 2.0 Satisfaction e-Word-of-mouth Subjective Norm Self-Image Critical Mass (Chang & Zhu, 2012) Social networking sites Perceived bridging social capital Satisfaction (Wang, Harris, & Patterson, 2013) Self-service technology Satisfaction Habit Self-efficacy (Chong, 2013) Mobile Commerce Perceived Ease of Use Perceived Usefulness Satisfaction Perceived Enjoyment Trust Perceived Cost (Shiau & Luo, 2013) Blogging Perceived Enjoyment Satisfaction User Involvement (Tang et al, 2014) Blogging Satisfaction Perceived Usefulness Experiential Learning (Basak & Calisir, 2015) Facebook Attitude Satisfaction (Mouakket, 2015) Facebook …”

Section: Continuance/repurchase Intention Theorymentioning

confidence: 99%

The role of aesthetic, cultural, utilitarian and branding factors in young Chinese consumers' repurchase intention of smartphone brands

Filieri

Lin

2017

Computers in Human Behavior

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Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. AbstractDespite the exponential growth of smartphone consumption, to date, very few studies have investigated the factors that influence consumers' repurchase intention of smartphone brands.China has become the world's largest consumer markets for smartphones, therefore understanding young Chinese consumers' repurchase intention in the smartphone market is of crucial importance to smartphone companies. A preliminary qualitative study based on 30 face-to-face interviews has led to the development of a new conceptual framework including aesthetic (design appeal), functional (perceived quality), brand value (brand popularity), social (subjective norm) and cultural influences (mianzi). The newly developed framework has been tested through partial least squares structural equation modeling with a sample of 321 young Chinese smartphone users. The results show that young Chinese customer's smartphone repurchase intention is mainly determined by mianzi, perceived quality, brand popularity, and design appeal. Furthermore, findings also highlight that subjective norm, perceived quality and design appeal affect Chinese people's mianzi.

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“…EB models recognize that the emotion is very important in decision making. The existing literature on mobile SNS continuance and user retention mostly uses satisfaction and loyalty as a key factor in predicting continuance intentions [11,13,14]. The HAP focuses on the important role of habits in the continued use of mobile SNS users.…”

Section: Mobile Sns Continued Usagementioning

confidence: 99%

“…Along with the rapidly increasing number of mobile SNS users, information systems (IS) researchers' attention on mobile SNS usage behaviors has shifted from initial use to continued, post-adoption usage decisions. Drawing from theories of user satisfaction and information adoption, some research has applied the expectation-confirmation model (ECM) and expanded it within the mobile SNS context [10,11]. Besides, sense of community (SOC), selfregulation framework and the dual-process theories also have been applied in mobile SNS continuance [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Mobile SNS Addiction and User Continuance: An Empirical Investigation of WeChat

Liu

2019

Teh. vjesn.

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Mobile social networking sites (SNS) have become one of the most popular means of online social interactions. However, that excessive and uncontrolled SNS use may have negative consequences. Recent statistics show that use of mobile SNS can be addictive for some individuals, which can lead to some significant behavioural or psychological problems. This study has extended the dual-process continuance model by examining the impact of users' levels of addiction as important factors that influence their continuance intention to use WeChat, as one of the most popular mobile SNS in China. Structural equation modelling was used to validate the proposed models and assumptions. Based on survey data from 495 valid responses of WeChat users, we found that the level of mobile SNS addiction augments users' perceptions of perceived usefulness, perceived enjoyment, trusting beliefs and habit, whereas it has no impact on users' satisfaction and loyalty. It can serve as a platform for future research on technology addiction, and for better understanding of addiction-driven system overuse behaviours and their effects on users. The results suggest that the increase in usage time and frequency of use does not necessarily mean higher satisfaction and loyalty to the mobile SNS, perhaps certain addictive symptoms occurring.

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Factors influencing continuance intention to use social network sites: The Facebook case

Cited by 212 publications

References 58 publications

Knowledge Sharing Platforms: An Empirical Study of the Factors Affecting Continued Use Intention

Knowledge Sharing Platforms: An Empirical Study of the Factors Affecting Continued Use Intention

The role of aesthetic, cultural, utilitarian and branding factors in young Chinese consumers' repurchase intention of smartphone brands

Mobile SNS Addiction and User Continuance: An Empirical Investigation of WeChat

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