Online Social Interactions: A Natural Experiment on Word of Mouth versus Observational Learning
By Yubo Chen, Qi Wang, Jinhong Xie. 2011
754 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Safety Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/32f3ddb264f3563d311d5ee1fa5ef40c5a4f5dcb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Thorsten Hennig-Thurau
- Hongshuang Li
- P. K. Kannan
- Kenneth F. Hyde
- Bodo Lang
- Amit M. Joshi
- Fabiano Feldhaus
- Caroline Wiertz
In Safety Research
- P. K. Kannan
- Hongshuang Li
- Kenneth F. Hyde
- Bodo Lang
- Fabiano Feldhaus
- Thorsten Hennig-Thurau
- Caroline Wiertz
- Andrew T. Stephen
In Sociology and Political Science
- Andrew T. Stephen
- P. K. Kannan
- Sinan Aral
- Hongshuang Li
- Chrysanthos Dellarocas
- Michael Trusov
- David Godes
- Thorsten Hennig-Thurau
Citations in the corpus
- Rational Herding in Microloan Markets (2012, background): “Through a natural experiment on Amazon.com that shifts the observability of peer choices, Chen et al. (2011) separate herding from word of mouth among buyers.”
- Social Media, Traditional Media, and Music Sales (2014, background): “Finally, some studies have looked at the role of observational learning, or learning from the past actions of other consumers, on product sales; e.g., Chen et al. (2010) found that the display of product popularity information on Amazon is associated with increased incremental sales.”
- A Meta-Analysis of Electronic Word-of-Mouth Elasticity (2015, background): “Consistent with this information search cost reasoning, the choice overload literature (e.g., Botti and Iyengar 2006; Chernev 2003; Iyengar and Lepper 2000) has shown that purchase likelihood decreases in these contexts (e.g., Iyengar and Lepper 2000), as does consumers’ confidence in these…”
- Does Twitter matter? The impact of microblogging word of mouth on consumers’ adoption of new movies (2014, positive): “Regarding diagnosticity of information, negative information runs counter to consumers’ expectations, such that negative messages have a higher diagnostic value for consumers (e.g., Kanouse and Hanson 1972; Chen, Wang, and Xie 2011).”
- (De)marketing to Manage Consumer Quality Inferences (2013, background): “We recruited human subjects from Amazon Mechanical Turk (MTurk), a leading Internet-based labor market that has been widely adopted for behavioral experimental research (e.g., Paolacci, Chandler, and Ipeirotis 2010).11 We randomly assigned 50 participants to Condition 1 and 50 participants to Condit”
- Online Shopping and Social Media: Friends or Foes? (2017, background): “Consumers are often exposed to product- and consumption-related content as well as opinions and eWOM posted by other consumers (e.g., Chen, Wang, and Xie 2011; Chevalier and Mayzlin 2006; Chintagunta, Gopinath, and Venkataraman 2010; Godes and 28 / Journal of Marketing, November 2017 Mayzlin 2004;…”
- Introduction to the Special Issue - Social Media and Business Transformation: A Framework for Research (2013, background): “2010, Chen et al. 2011). Left out of this analysis, however, has been an assessment of the quality of these choices. For example, Godes and Silva (2012) argue that, as more online reviews arrive for a product, the diagnosticity of a review declines, leading to worse decisions.”
- Internal Social Capital and the Attraction of Early Contributions in Crowdfunding (2015, background): “Observational learning has been in place since the advent of trade, but now the Internet offers an ideal environment for it because webpages can immediately make other consumers’ choices visible, including choices by consumers that the acquirer does not know in person (Cheng et al., 2011).”
- Group-Buying Deal Popularity (2014, background): “3 Prior studies suggest the direct effects of referral and WOM (Liu 2006; Luo 2009; Van de Bulte 2010) and the interactive effect between WOM and OL on consumer purchase (Chen et al. 2011; Li and Wu 2013).”
- Decision Difficulty in the Age of Consumer Empowerment (2014, background): “Extensive choice in various domains associated with higher information load Difficulty compounded when consumers elect to choose from large assortment or increase size of self-generated option set Increased customization possibilities can increase information overload, especially with by-alternative”
- It's never too late: Funding dynamics and self pledges in reward-based crowdfunding (2018, background): “, 2013] and technology projects from four crowdfunding platforms [Cordova et al., 2015]: smaller, shorter projects have higher success rates; higher efforts on communication as proxied by web site quantifiers pay off.12 Moreover (not shown), music and movie projects have higher success rates, while ”
- Group Buying: A New Mechanism for Selling Through Social Interactions (2011, background): “Chen et al. (2011) empirically demonstrate the differential impact of two types of social interactions—word of mouth D ow nl oa de d fr om in fo rm s. or g by [ 13 1.”
- The Operational Value of Social Media Information (2018, background): “The social media literature has identified the attention and endorsement effects as providing different types of informational signals that capture user behaviors (see Banerjee et al. 2012, Chen et al. 2011, Li and Wu 2014).”
- Digital marketing: A framework, review and research agenda (2017, positive): “Chen, Wang, and Xie (2011) compared the impact of eWOM and observational learning at Amazon.com, where eWOM is created by customers and the observational information is provided by an Amazon feature that shows the customer what other customers purchased (as an aggregate metric in percentage) after…”