Social Contagion and Income Heterogeneity in New Product Diffusion: A Meta-Analytic Test
By Christophe Van den Bulte, Stefan Stremersch. 2004
466 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/64daa1dd07c155f2e796e7ea510c9f989efe88e5
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
- Renana Peres
- Vijay Mahajan
- Gerard J. Tellis
- Koen Pauwels
- Jacob Goldenberg
- Barak Libai
- F. Garip
In Management Science and Operations Research
- Eitan Muller
- Renana Peres
- Vijay Mahajan
- Gerard J. Tellis
- Barak Libai
- Jacob Goldenberg
- Koen Pauwels
- Lea M. Sonderegger-Wakolbinger
In Statistical and Nonlinear Physics
- Eitan Muller
- Barak Libai
- Jacob Goldenberg
- Renana Peres
- Hans Risselada
- Vijay Mahajan
- Peter C. Verhoef
- Tammo H. A. Bijmolt
Citations in the corpus
- Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals (2010, background): “In reviewing the literature on diffusion of innovations, Wejnert (2002) observes that the investigation of interactions among diffusion covariates needs further study.”
- App Popularity: Where in the World are Consumers Most Sensitive to Price and User Ratings? (2018, background): “The diffusion of innovationmodels shows cultural differences in consumer innovativeness (Steenkamp, Ter Hofstede, and Wedel 1999) and in the importance of social contagion and word of mouth (WOM; Tellis, Stremersch, and Yin 2003; Van den Bulte and Stremersch 2004; Yaveroglu and Donthu 2002).”
- Innovation diffusion and new product growth models: A critical review and research directions (2010, methodology): “…diffusion parameters p and/or q (e.g., Van den Bulte, 2002; Dekimpe, Parker & Sarvary, 1998; Helsen, Jedidi & DeSarbo, 1993; Takada & Jain, 1991), the ratio q/p (Van den Bulte & Stremersch, 2004), time to takeoff (Tellis et al., 2003) and duration of the growth stage (Stremersch & Tellis, 2004).”
- A Cross-Disciplinary Exploration of Entrepreneurship Research (2007, unknown): “…2002; Chandrashekaran & Sinha, 1996; Gatignon, Eliashberg, & Robertson, 1989; Gatignon & Robertson, 1985; Givon, Mahajan, & Muller, 1995; Van den Bulte & Stremersch, 2004), (c) market or strategic orientation (Gatignon & Xuereb, 1997; Hurley & Hult, 1998; Matsuno, Mentzer, & Ozsomer, 2002;…”
- Network Effects and Social Inequality (2012, background): “In a cross-national study of product diffusion, Van den Bulte & Stremersch (2004) find that the relative importance of endogenous (network) effects on adoption as opposed to exogenous effects (e.g., of external shocks or marketing campaigns) on adoption was associated with the extent of social…”
- Agent-based simulation of innovation diffusion: a review (2011, background): “However, it can also capture imitation effects such as social learning, social pressures, or network effects (Van den Bulte and Stremersch 2004).”
- Do Your Online Friends Make You Pay? A Randomized Field Experiment on Peer Influence in Online Social Networks (2014, background): “Threats to Validity Our design has several intuitive benefits that help us overcome the myriad of challenges (Van den Bulte and Stremersch 2004, Aral 2011) in making causal detection of social contagion from observational data, separating out peer influence from homophily and other external sources…”
- Research on Innovation: A Review and Agenda for Marketing Science (2006, background): “…sociological, economic, and cultural factors (e.g., Gatignon et al. 1989, Putsis et al. 1997, Roberts et al. 2004, Takada and Jain 1991, Talukdar et al. 2002, Van den Bulte and Stremersch 2004); • Stages in the adoption process (e.g., Kalish 1985, Midgeley 1976); • Supply restrictions (e.g., Ho…”
- Opinion Leadership and Social Contagion in New Product Diffusion (2011, background): “Unless one analyzes individual-level adoption data and network data, contagion can easily be confounded with other mechanisms generating temporal changes in adoption speed (Van den Bulte and Stremersch 2004).”