A Choice-Based Multi-Brand Diffusion Model Incorporating Replacement Demand

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dc.contributor.authorJun, Duk Bin-
dc.contributor.authorKim, Jungil-
dc.date.accessioned2008-06-05T09:04:11Z-
dc.date.available2008-06-05T09:04:11Z-
dc.date.created2012-02-06-
dc.date.issued2008-05-
dc.identifier.citation2008 KAIST Business School Working Paper Series KBS-WP-2008-008, v., no., pp. --
dc.identifier.urihttp://hdl.handle.net/10203/4956-
dc.description.abstractThis paper proposes a brand-level forecasting model that incorporates both first purchase diffusion and the replacement component in sales. The model consists of a two-stage procedure in which customers are presented with purchase occasions according to a diffusion process or replacement process, and at each occasion, they make the decision to purchase and choose a brand according to a choice model. By incorporating marketing mix variables in the choice model, the model can identify the impact of competitive marketing mix activities on customers’ purchase incidence decisions and brand choice decisions. This approach enables us to understand the overall process of customers’ buying behavior and to identify sales to first-time buyers, brand loyal customers, and brand switching customers separately from the total sales amount. With this model, companies can develop their production and marketing plans based on a richer understanding of customers’ behavior and select the target customer group based on their customer mix information. Our application of the proposed model to the Korean mobile terminal market showed reasonable fit and forecasting performance.-
dc.language.isoen_USen
dc.publisherKAIST-
dc.titleA Choice-Based Multi-Brand Diffusion Model Incorporating Replacement Demand-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationname2008 KAIST Business School Working Paper Series KBS-WP-2008-008-
dc.identifier.conferencecountrySouth Korea-
dc.identifier.conferencecountrySouth Korea-
dc.contributor.localauthorJun, Duk Bin-
dc.contributor.nonIdAuthorKim, Jungil-

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