Neighborhood effects and trial on the internet: Evidence from online grocery retailing
By David R. Bell, Sangyoung Song. 2007
198 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Marketing
View Paper: https://www.semanticscholar.org/paper/f26e9928c002d8096a1186090cedfa6e8f658332
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Eitan Muller
- Jacob Goldenberg
- Barak Libai
- Peter C. Verhoef
- Hans Risselada
- Tammo H. A. Bijmolt
- M. Bügel
- Andrew T. Stephen
In Marketing
- Peter C. Verhoef
- Ruth N. Bolton
- Tammo H. A. Bijmolt
- Raghuram Iyengar
- Barak Libai
- Andrew T. Stephen
- Eitan Muller
- Eric T. Bradlow
Citations in the corpus
- Online Social Interactions: A Natural Experiment on Word of Mouth versus Observational Learning (2011, unknown): “Some studies have indirectly inferred the impacts of social interactions through the neighborhood effect (e.g., Bell and Song 2007; Choi, Hui, and Bell 2007; Grinblatt, Keloharju, and Ikäheimo 2005).”
- Visual Influence and Social Groups (2012, methodology): “Consequently, we use several strategies to rule out challenges such as homophily and correlated unobservables (Bell and Song 2007; Manski 1993).”
- Network Effects and Personal Influences: The Diffusion of an Online Social Network (2011, background): “This approach is the same one that Bell and Song (2007) follow to estimate network effects on purchase behavior across regions in the United States.”
- Opinion Leadership and Social Contagion in New Product Diffusion (2011, methodology): “To our knowledge, the network contagion effect has never survived such a stringent test because prior studies did not use social network data (e.g., Bell and Song 2007), did not account for degrees of connectivity (e.g., Hill et al. 2006), did not control for marketing effort or time-varying…”
- An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet (2011, unknown): “Prior studies use physical proximity between people as a proxy for the extent of social influence with each other through direct social interaction or observation (Yang and Allenby 2003 and Bell and Song 2007).”
- Customer-to-Customer Interactions: Broadening the Scope of Word of Mouth Research (2010, background): “Recently, Bell and Song (2007) studied shoppers' trial of the Internet grocery retailer (netgrocer.com).”
- The NPV of bad news (2007, background): “For example, Bell and Song (2005) introduced a utility-based approach with the interactions appearing as thresholds, while ours is a more classic, diffusionbased approach that views the interaction as uncertainty reduction in the form of word-of-mouth.”
- Digital marketing: A framework, review and research agenda (2017, unknown): “Bell and Song (2007) examined customer trials at Netgrocer.com and found that customers' adoption decisions influenced the adoption decisions of geographically proximate residents who had yet to try the service.”
- Dynamic Effects of Social Influence and Direct Marketing on the Adoption of High-Technology Products (2014, background): “Prior research has revealed a positive effect of social influence on adoption in multiple industries, including telecommunications (Hill, Provost, and Volinsky 2006), online retailing (Bell and Song 2007; Choi, Hui, and Bell 2010), and pharmaceuticals (Iyengar, Van den Bulte, and Valente 2011).”
- Peer Effects in the Diffusion of Solar Photovoltaic Panels (2012, background): “In a different approach, Bell and Song (2007) have zip code-level data on the adoption of online grocery retailing, and cleverly use order statistics to derive an expression for the probability that at least one individual within a region makes use of the new technology.”