Reconsidering Models of Influence: The Relationship between Consumer Social Networks and Word-of-Mouth Effectiveness
By Ted Smith, J. Coyle, Elizabeth Lightfoot, Amy Scott. Journal of Advertising Research, 2007
262 citations recorded by the source corpus.
Subfields: General Health Professions, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/68facc055ade7eccccfbf8f45e9d0b5c1f2694bf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In General Health Professions
In Organizational Behavior and Human Resource Management
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Elvira R. Ismagilova
- K. Thompson
- Emma L. Slade
- Shu-Chuan Chu
- David G. Taylor
- David Strutton
Citations in the corpus
- The Social Exchange of Viral Ads: Referral and Coreferral of Ads Among College Students (2014, background): “Multiple eWOM studies note altruism as a driver of opinion giving (e.g., Hennig-Thurau et al. 2004; Smith et al. 2007); however, Hennig-Thurau and colleagues (2004) also cite tangible benefits (e.g., social interaction, economic incentives) and intangible benefits (e.g., enhanced self-worth) as…”
- The effect of characteristics of source credibility on consumer behaviour: A meta-analysis (2020, background): “Thus, consumers can have some difficulty when assessing reliability of recommendation source (Smith et al., 2007; Xiang et al., 2015).”
- Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites (2011, background): “Indeed, a few studies have related social relationship constructs to WOM referral behaviour in both offline and online settings (Brown & Reingen 1987; Gilly et al. 1998; Reingen & Kernan 1986; Smith et al. 2007).”
- Electronic word of mouth: The effects of incentives on e‐referrals by senders and receivers (2013, background): “Counter to conventional wisdom, the vast majority of people have moderate-sized social networks and are just as willing to share marketing messages with others as the highly connected are willing to share (Smith et al., 2007).”
- Investigating generational differences in e-WOM behaviours (2011, background): “The internet features ‘scale-free connectivity’ (Smith et al. 2007, p. 387), characterised by large numbers of networked users among whom information and messaging flows quickly, freely and openly.”