From Density to Destiny: Using Spatial Dimension of Sales Data for Early Prediction of New Product Success

By T. Garber, Jacob Goldenberg, Barak Libai, Eitan Muller. 2004

174 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Management Science and Operations Research, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/a136cb40e494baeccbacfc7a6eed2d8f43b67d33

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In Management Science and Operations Research

In Statistical and Nonlinear Physics

Citations in the corpus

Research on Innovation: A Review and Agenda for Marketing Science (2006, background): “…al. 1981, Mahajan et al. 1984); • Retailer adoption (e.g., Bronnenberg and Mela 2004) and spatial diffusion (Garber et al. 2004); • Processes for interpersonal communication (e.g., cellular automata, Garber et al. 2004, Goldenberg et al. 2002); • Cross-market communication (Goldenberg et al. 2002).”
Firm-Created Word-of-Mouth Communication: Evidence from a Field Test (2009, background): “Others have inferred the impact of WOM from the geographical evolution of sales data: Foster and Rosenzweig (1995); Garber et al. (2004); Bell and Song (2004); Manchanda et al. (2006).”
The Role of Hubs in the Adoption Process (2009, background): “This is important because, in general, there is little indication of whether and when a takeoff should be expected (for exceptions, see Garber et al. 2004; Golder and Tellis 1997).”
The Firm's Management of Social Interactions (2005, background): “…SI data at all, and instead, infer their existence and impact.4 For example, Bass (1969) specifies the relationship between past sales and future sales, assuming that the relationship is partially caused by SI’s (see also Foster and Rosenzweig, 1995; Kaplan et al., 1997; Garber et al., 2004).”
Innovation diffusion and new product growth models: A critical review and research directions (2010, background): “Garber, Goldenberg, Libai and Muller (2004) suggested a measure of the spatial density of adoption to predict a product's success or failure.”
New Product Diffusion with Influentials and Imitators (2007, background): “…such a market structure, and because marketing researchers increasingly incorporate social structure into their diffusion investigations (e.g., Bronnenberg and Mela 2004, Frenzen and Nakamoto 1993, Garber et al. 2004, Godes and Mayzlin 2004, Putsis et al. 1997, Van den Bulte and Lilien 2001).”
Agent-based simulation of innovation diffusion: a review (2011, methodology): “Studying advertising strategies in the context of positive and negative WoM in small-world-type networks, Goldenberg et al. (2007) compare linear and concave advertising strategies (cf.”
A bibliometric review of the innovation adoption literature (2018, background): “Moreover, viral marketing builds on the characteristics of social contagion and especially (electronic) word-of-mouth [226, 227].”
The NPV of bad news (2007, methodology): “While this is a rather standard assumption in models of this type – especially those using the small-world framework such as Garber et al. (2004) and Shaikh et al. (2005) and also in cellular automata agent-based models such as Goldenberg et al. (2001; Goldenberg, Libai, & Muller 2002) – a more…”