Determinants of Customers’ eWOM Behaviour—A System Success Perspective

Wang, Ping; Zhang, Xianfeng; Suomi, Reima; Sun, Chuanming

doi:10.1007/978-3-319-51168-9_29

Cited by 7 publications

(8 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The motivation of this study stemmed from companies' concern regarding how to enhance active participation on their websites. Hence, based on the proposal of Wang et al [35] that the perception of social presence on a website positively affects the generation of WOM, the originality of our research lies in its study of the mediating role that social presence plays between sWOM intention and behavior. Therefore, the main contribution of the present research, after confirming the social commerce attitudeintention-behavior-based model, is that social presence mediates between WOM intention and active behavior.…”

Section: Discussionmentioning

confidence: 99%

“…On the other hand, drawing on observational social learning theory [33], passive sWOM refers to the tendency of users to just observe and learn through the sWOM shared by other users, without sharing their own experience on the website [34]. Likewise, regarding WOM behavior, users are categorized as WOM receivers and WOM generators [35]. According to an international report published in 2016 [36], 45% of consumers were influenced by reading reviews, comments, and feedback and 22% by writing reviews, comments, and feedback.…”

Section: Swom Intention and Swom Behaviormentioning

confidence: 99%

“…Research on social presence highlights its role for enhancing trust [48][49][50] and several investigations confirm the positive relationship between trust and WOM [32], but they do not consider the difference between active and passive WOM behavior. Distinguishing between WOM use and WOM behavior, Wang et al [35] studied the influence of social presence, concluding that the perception of social presence on a website positively affects the generation of WOM, but not the use of WOM. Taking this idea into account, this study expects social presence to mediate the relationship between the intention to sWOM and active or passive sWOM behavior, see in Figure 1.…”

Section: The Mediating Role Of Social Presencementioning

confidence: 99%

See 2 more Smart Citations

The Mediated Effect of Social Presence on Social Commerce WOM Behavior

2021

View full text Add to dashboard Cite

Based on expectation disconfirmation theory, this study analyzes how attitudes (satisfaction and loyalty) influence interaction intention (sWOM) and, consequently, active and passive sWOM behavior. It does so by assessing the mediating role of social presence on sWOM intention and behavior. The empirical results provide several contributions. First, knowing how to increase active sWOM contributes to bridging the gap regarding how to enhance interactions between users. Second, fostering active sWOM on social commerce websites will provide companies with more positive user-generated content, since this active sWOM comes from satisfied and loyal users, and it is assumed that they will rate the product positively and report a good experience. Third, companies can benefit more from users if users interact with other users by sharing their experiences. This study sheds light on how social presence can mediate the relationship between intention and behavior, particularly when it comes to increasing active participation and brand promotion.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Swom Intention and Swom Behaviormentioning

confidence: 99%

Section: The Mediating Role Of Social Presencementioning

confidence: 99%

See 1 more Smart Citation

The Mediated Effect of Social Presence on Social Commerce WOM Behavior

2021

View full text Add to dashboard Cite

show abstract

“…Table 2 shows that in all 22 studies the predictor (IC) had a significant positive effect on the outcome (IAB) variable with a beta (β) coefficient value ranging from 0.205 to 0.99. Among them, five studies (Cheung et al, 2009;Jin et al, 2016;Luo et al, 2013;Reyes-Menendez et al, 2019;Sardar et al, 2021) had high, 10 studies (Chang and Wu, 2014;Daowd et al, 2020;Fang, 2014;Filieri and McLeay, 2013;Gan et al, 2017;Jiang et al, 2021;Kol et al, 2021;Putri et al, 2020;Salehi-Esfahani et al, 2016;Tien et al, 2019) moderate, while seven studies (Chih et al, 2020;Cho and Chan, 2021;G€ okerik et al, 2018;Shen et al, 2014;Wang and Chen, 2019;Wang et al, 2017;Zhang and Watts, 2008) showed a low effect of IC on the IAB. The results of p-statistics values were significant at p > 0.001 in ten, p > 0.01 in eight, p > 0.02 in one, p > 0.05 in two and nonsignificant levels appeared in one study.…”

Section: Effect Of Information Quality On Social Media Information Ad...mentioning

confidence: 99%

Impact of information credibility on social media information adoption behavior: a systematic literature review

Khan

Soroya

Mahmood

2022

LHT

View full text Add to dashboard Cite

PurposeThe purpose of this systematic literature review was to collect and review the studies published worldwide in English language presenting the persuasive role of information/content credibility (IC) on the information adoption behavior (IAB) of social media users.Design/methodology/approachThe relevant literature was searched by the reviewers from two specialized databases, i.e. Library, Information Science and Technological Abstract (LISTA) and Library and Information Science Abstracts (LISA), whereas five general databases, i.e. Emerald, Springer Link, Taylor and Francis Online, ProQuest Dissertations and Theses Global and Google Scholar, using the Internet (portal) services available at the two Pakistani universities, i.e. University of Sargodha and the University of the Punjab. The search was updated in February 2022.FindingsThe results of this study revealed that there was a significant impact of IC over the IAB of social media users.Originality/valueThis study is the first of its nature that aims to collect and present a systematic review of the literature based on empirical evidence of the influential role of IC on the IAB of social media users.

show abstract

“…TSNs could collect eWOM information of the past and present. However, as time went by, consumers might wonder if the previously-described eWOM was still trustworthy [24]- [26]. The timeliness of eWOM content is thus a critical dimension to measure trust on eWOM.…”

Section: Trust On Ewom In Tourism Social Networkmentioning

confidence: 99%

Predicting How Trust on eWOM Influences Consumer Purchase Intentions toward Group Package Tours in Tourism Social Networks

Lin¹,

Li²,

Hsiao³

et al. 2019

IJEEEE

View full text Add to dashboard Cite

The applications of electronic word-of-mouth (eWOM) in the tourism social networks (TSNs) can not only enhance the corporate image of travel agencies and or tourism firms, but also promote the revisiting rate of sightseeing spots as well as facilitate the potential business opportunities in the tourism industry. However, there is rare literature investigating how trust on eWOM in TSNs influences consumers' purchase intentions toward group package tours (GPTs). By integrating the theoretical perspective of technology acceptance model (TAM) with the construct of trust on eWOM in TSNs, the study developed a nomological framework to examine the causal relationships among the critical influencing antecedents on online consumer attitudes and purchase intentions toward GPTs in the fast-growing TSNs. The analytical results indicate that: (1) trust on eWOM in TSNs has a positive impact on perceived usefulness, perceived ease of use and consumer attitudes toward GPTs; (2) perceived usefulness and perceived ease of use will positively affect consumers' attitudes and purchase intentions toward GPTs; (3) consumer attitudes will positively affect their purchase intentions toward GPTs in TSNs. The research findings are expected to provide practical implications for the marketers and managers of TSNs and travel agencies and help the tourism industry to gain new insights regarding the potential values of eWOM.

show abstract

Determinants of Customers’ eWOM Behaviour—A System Success Perspective

Cited by 7 publications

References 38 publications

The Mediated Effect of Social Presence on Social Commerce WOM Behavior

The Mediated Effect of Social Presence on Social Commerce WOM Behavior

Impact of information credibility on social media information adoption behavior: a systematic literature review

Predicting How Trust on eWOM Influences Consumer Purchase Intentions toward Group Package Tours in Tourism Social Networks

Contact Info

Product

Resources

About