Improving the Bass model's predictive power through online reviews, search traffic and macroeconomic data

DOI10.1007/s10479-020-03716-3zbMath1461.91206OpenAlexW3043439940MaRDI QIDQ828837

Ling-Wei Fan, Yu-Xin Tian, Chuan Zhang

Publication date: 5 May 2021

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-020-03716-3

zbMATH Keywords

sales forecastingBaidu indeximproved bass modelmacroeconomic indicatorsonline reviews

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Statistical methods; economic indices and measures (91B82)

Uses Software

• AppliedPredictiveModeling

Cites Work

• Third-generation prospect theory
• Tactical sales forecasting using a very large set of macroeconomic indicators
• Customer reviews for demand distribution and sales nowcasting: a big data approach
• Product sales forecasting using macroeconomic indicators and online reviews: a method combining prospect theory and sentiment analysis
• Deriving the Pricing Power of Product Features by Mining Consumer Reviews
• Applied Predictive Modeling
• A New Product Growth for Model Consumer Durables
• Prospect Theory: An Analysis of Decision under Risk
• High-Definition Television: Assessing Demand Forecasts for a Next Generation Consumer Durable
• Self‐Restraining Bass Models
• A DISCRETE BASS MODEL AND ITS PARAMETER ESTIMATION

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