Smart predictions via smart-tagging: Introducing a Crisp and powerful revenue forecasting model


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Issue DateTitleSub-TitleAuthor(s)Journal NameVolume NumberIssue NumberPages
11-Apr-2014Smart predictions via smart-tagging: Introducing a Crisp and powerful revenue forecasting model-Chakrabarty, Patrali 

Abstract
"Predicting market performance before launch is critical and indispensable especially for the category of experience products. The problem becomes even more critical when the bulk of profits for such products hold a short shelf life. Films, tournament merchandise, online courseware, fall in such a category. Taking up the specific case of the Bollywood motion picture industry, the author proposes a smart-tagging mechanism that will enhance predictive power of an efficient revenue forecasting model. The market is considered differentiated both horizontally and vertically. An experiment supports the generalizability of the model to other product categories that may qualify as experience goods, in general; e.g., book, music, restaurant."
 
Keyword(s)
Forecasting model
Smart predictions
Smart-tagging
Film industry
Motion picture industry
Project title
Smart predictions via smart-tagging: Introducing a Crisp and powerful revenue forecasting model
Project Coordinator
 
Status
Completed