Transition of electronic word-of-mouth services from web to mobile context: A trust transfer perspective

Wang, Nan; Shen, Xiao‐Liang; Sun, Yongqiang

doi:10.1016/j.dss.2012.12.015

Cited by 136 publications

(164 citation statements)

References 54 publications

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“…In this regard, the trustee and the third party is often called as the target and the source of trust transfer, respectively [27], and trust also can be transferred from different sources, such as individuals or a context, using communication or cognitive processes [14]. Recent studies demonstrated that trust transfer can occur both online and offline.…”

Section: Trust Transfer Theorymentioning

confidence: 99%

Consumers' decisions in social commerce context: An empirical investigation

Chen

Shen

2015

Decision Support Systems

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377

338

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Section: Trust Transfer Theorymentioning

confidence: 99%

Consumers' decisions in social commerce context: An empirical investigation

Chen

Shen

2015

Decision Support Systems

Self Cite

377

338

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“…Therefore, multicollinearity is not a problem in this study. The measurement model of the second-order formative constructs can be assessed by checking the weights of subconstructs on their respective theoretically related secondorder construct (Petter et al, 2007;Wang, Shen, & Sun, 2013). The weight values reflect the relative importance of the subconstructs to the higher-order constructs (Petter et al, 2007).…”

Section: Measurement Modelmentioning

confidence: 99%

Knowledge withholding in online knowledge spaces: Social deviance behavior and secondary control perspective

Shen

Sun

et al. 2019

Asso for Info Science & Tech

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Knowledge withholding, which is defined as the likelihood that an individual devotes less than full effort to knowledge contribution, can be regarded as an emerging social deviance behavior for knowledge practice in online knowledge spaces. However, prior studies placed a great emphasis on proactive knowledge behaviors, such as knowledge sharing and contribution, but failed to consider the uniqueness of knowledge withholding. To capture the social‐deviant nature of knowledge withholding and to better understand how people deal with counterproductive knowledge behaviors, this study develops a research model based on the secondary control perspective. Empirical analyses were conducted using the data collected from an online knowledge space. The results indicate that both predictive control and vicarious control exert a positive influence on knowledge withholding. This study also incorporates knowledge‐withholding acceptability as a moderating variable of secondary control strategies. In particular, knowledge‐withholding acceptability enhances the impact of predictive control, whereas it weakens the effect of vicarious control on knowledge withholding. This study concludes with a discussion of the key findings, and the implications for both research and practice.

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“…Furthermore, this study follows the established procedure to assess the construct validity and reliability of the formative constructs (Petter et al, 2007;Sun et al, 2012;Wang et al, 2013). In particular, construct validity of formative constructs is assessed by examining the item weights, which should be significant in the statistic level.…”

Section: Measurement Modelmentioning

confidence: 99%

Wearable health information systems intermittent discontinuance

Shen

Sun

2018

IMDS

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Purpose -Wearable health information systems (IS) open up a new era for personal health self-management, and bring about disruptive changes to individual lives. However, prior studies on IS post-adoptive behavior primarily focused on either continuance or discontinuance, neglecting the mutual transformation process between IS usage and rejection behavior. This behavior is expressed as intermittent discontinuance in the current study. By revising and extending the expectation-disconfirmation model, the purpose of this paper is to understand the factors affecting information system intermittent discontinuance in the context of wearable eHealth. Design/methodology/approach -This study proposes a revised expectation-disconfirmation model by incorporating four new theoretical constructs, i.e. neutral disconfirmation, attitudinal ambivalence, neutral satisfaction, and intermittent discontinuance. An online survey was used to validate the research model, and 428 wearable health device users were recruited in this study.Findings -Empirical results demonstrate that neutral disconfirmation exerts positive effects on neutral satisfaction and attitudinal ambivalence, both of which further have positive effects on intermittent discontinuance. In addition, attitudinal ambivalence also has a positive and significant effect on neutral satisfaction. Originality/value -This study extends the current understanding on IS post-adoption usage behavior by introducing a new concept, i.e., intermittent discontinuance. In particular, post-adoption usage behavior is viewed as a dynamic process within a changing environment in this study. Some unique features specific to intermittent discontinuance are also identified. In this regard, neutral and conflicting constructs further add new values to IS adoption and diffusion literature. In addition, the integration of eHealth and wearable devices provides a fruitful research context for future research, and this study represents one of the first attempts to empirically explore the intermittent usage problems encountered within this emerging phenomenon.

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Transition of electronic word-of-mouth services from web to mobile context: A trust transfer perspective

Cited by 136 publications

References 54 publications

Consumers' decisions in social commerce context: An empirical investigation

Consumers' decisions in social commerce context: An empirical investigation

Knowledge withholding in online knowledge spaces: Social deviance behavior and secondary control perspective

Wearable health information systems intermittent discontinuance

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