Understanding affective commitment in social virtual worlds: The role of cultural tightness

Lin, Zhengzheng; Zhou, Zhongyun; Fang, Yulin; Vogel, Doug; Liang, Liang

doi:10.1016/j.im.2018.05.005

Cited by 23 publications

(18 citation statements)

References 69 publications

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“…The significant influence of satisfaction on both, affective and CC, was reported by Wetzels et al (1998) in the service business context and Johnson et al (2001) in the bank industry context. Lin et al (2018) investigated the predictors of affective commitment (AC) to social virtual world services and found satisfaction to be its strongest predictor. Satisfaction was also reported as a significant predictor of AC to eWOM, such as online restaurant reviews (Xiang et al , 2018).…”

Section: Literature Review and Research Modelmentioning

confidence: 99%

What drives customer satisfaction and word of mouth in mobile commerce services? A UTAUT2-based analytical approach

Kalinić

Marinković

Djordjević

et al. 2019

JEIM

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Purpose The purpose of this paper, which is based on the UTAUT2 model, is to develop and evaluate a predictive model of customer satisfaction related to mobile commerce (m-commerce) and the willingness to recommend this service to others. Design/methodology/approach The study was conducted based on a sample of 402 respondents. Confirmative factor analysis was used to evaluate the validity of the model, while structural equation modeling (SEM) was used to test the hypotheses. Finally, artificial neural networks were used to rank the influence of the significant predictors obtained by SEM. Findings Trust was found to be the most significant driver of customer satisfaction, followed by performance expectancy and perceived value. In addition, affective commitment and satisfaction were identified as the strongest predictors of word of mouth (WOM). Originality/value The originality/value of the paper lies in the establishment of the connection between the independent variables of the UTAUT 2 model – trust, satisfaction, affective and continence commitment and WOM. Additionally, it is one of a small number of studies investigating customer commitments and their influence on WOM in m-commerce.

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Section: Literature Review and Research Modelmentioning

confidence: 99%

What drives customer satisfaction and word of mouth in mobile commerce services? A UTAUT2-based analytical approach

Kalinić

Marinković

Djordjević

et al. 2019

JEIM

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show abstract

“…For the dependent variable of self-disclosure, we further controlled for predictors that were considered to be significant in prior studies, including privacy experience, information sensitivity, trust, affective commitment and perceived benefits of information disclosure (Kehr et al, 2015;Kordzadeh and Warren, 2017;Lowry et al, 2012). The scales for affective commitment were adapted from Lin et al (2018), and the scales for perceived benefits of information disclosure were adapted from Dinev et al (2013).…”

Section: Measurement Developmentmentioning

confidence: 99%

What drives self-disclosure in mobile payment applications? The effect of privacy assurance approaches, network externality, and technology complementarity

Gong

Zhang²,

Chen³

et al. 2019

ITP

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Purpose Drawing on the control agency theory and the network effect theory, the purpose of this paper is to examine the effect of privacy assurance approaches, network externality and technology complementarity on consumers’ self-disclosure in mobile payment (MP) applications. The authors identify four types of privacy assurance approaches: perceived effectiveness of privacy setting, perceived effectiveness of privacy policy, perceived effectiveness of industry self-regulation and perceived effectiveness of government legislation. The research model considers how these privacy assurance approaches influence privacy concerns and consumers’ self-disclosure in MP applications under boundary conditions of network externality and technology complementarity. Design/methodology/approach An online survey with 647 sample users was conducted to empirically validate the model. The target respondents were current consumers of a popular MP application. The empirical data were analyzed by a structural equation modeling approach. Findings The empirical results reveal several major findings. First, privacy assurance approaches can effectively decrease privacy concerns, which ultimately formulates consumers’ self-disclosure in MP applications. Second, network externality and technology complementarity weaken the effect of perceived effectiveness of privacy setting on privacy concerns. Third, network externality and technology complementarity strengthen the relationship between perceived effectiveness of government legislation and privacy concerns, while they have non-significant interaction effect with perceived effectiveness of privacy policy and industry self-regulation on privacy concerns. Practical implications MP providers and stakeholders can harness the efficacy of privacy assurance approaches in alleviating privacy concerns and promoting consumers’ self-disclosure in MP applications. Originality/value The authors’ work contributes to the information privacy literature by identifying effective privacy assurance approaches in promoting consumers’ self-disclosure in MP applications, and by highlighting boundary conditions of these privacy assurance approaches.

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“…A wave analysis comparing the first and last quartiles of respondents was next conducted to test non-response bias (Armstrong and Overton, 1977). The results showed that early and late respondents were not significantly different in their demographics (age, gender and education) and usage experiences with WeChat (tenure and frequency), suggesting that nonresponse bias is not a major concern in this study (Lin et al, 2018).…”

Section: Itp 324mentioning

confidence: 87%

Predicting Users’ willingness to diffuse healthcare knowledge in social media

Jin

Zhou

2019

ITP

Self Cite

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Purpose The purpose of this paper is to investigate why users are willing to diffuse healthcare knowledge in social media by drawing on the communicative ecology theory (CET) and prior research on interpersonal communication. Design/methodology/approach This paper conducts a large-scale scenario-based online survey in WeChat (the most popular social media platform in China) to test the proposed research model and hypotheses. The final data set consists of 1,039 useful responses from WeChat users. Findings The results indicate that interestingness, emotionality and institution-based trust are the strongest antecedents in predicting healthcare knowledge-diffusing likelihood, followed by usefulness, source credibility and positivity. Further, the relationship between institution-based trust and healthcare knowledge-diffusing likelihood is partially mediated by source credibility. Practical implications Healthcare practitioners who seek to motivate individuals to disseminate healthcare knowledge need to phrase or frame healthcare knowledge in a way that draws greater interest, evokes stronger emotion, increases perceived usefulness or reflects positively on themselves. Healthcare organizations should also pay attention to strengthening users’ trust in the platform and source-related information that can indicate source authority. Originality/value This study is one of the first to investigate the dissemination of healthcare knowledge in the context of social media (WeChat in particular). Compared with other types of information, healthcare knowledge is more scientific and professional to the extent that most laypersons do not have relevant expertise to directly evaluate whether the content is credible and of high quality. Rather, their sharing likelihood is dependent more on other factors than perceived information quality and credibility; those factors include platform-related factors that may play an important role but has been overlooked in prior literature on interpersonal communication. By combining CET with interpersonal communication-related research and including institution-based trust as an important determinant of healthcare knowledge dissemination, this study provides a comprehensive analysis of healthcare knowledge diffusion process.

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Understanding affective commitment in social virtual worlds: The role of cultural tightness

Cited by 23 publications

References 69 publications

What drives customer satisfaction and word of mouth in mobile commerce services? A UTAUT2-based analytical approach

What drives customer satisfaction and word of mouth in mobile commerce services? A UTAUT2-based analytical approach

What drives self-disclosure in mobile payment applications? The effect of privacy assurance approaches, network externality, and technology complementarity

Predicting Users’ willingness to diffuse healthcare knowledge in social media

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