Measuring Product Type with Dynamics of Online Product Review Variances: A Theoretical Model and the Empirical Applications
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References listed on IDEAS
- Nikolay Archak & Anindya Ghose & Panagiotis G. Ipeirotis, 2011. "Deriving the Pricing Power of Product Features by Mining Consumer Reviews," Management Science, INFORMS, vol. 57(8), pages 1485-1509, August.
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- Nikolay Archak & Anindya Ghose & Panagiotis G. Ipeirotis, 2007. "Deriving the Pricing Power of Product Features by Mining Consumer Reviews," Working Papers 07-36, NET Institute.
- Yubo Chen & Jinhong Xie, 2008. "Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix," Management Science, INFORMS, vol. 54(3), pages 477-491, March.
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Cited by:
- Sharapudinov, S. & Zezerova, V. & Storchevoy, M., 2017. "Determinants of Online Word-of-Mouth: Evidence from Durable Goods Market," Working Papers 8721, Graduate School of Management, St. Petersburg State University.
- Xitong Li, 2018. "Impact of Average Rating on Social Media Endorsement: The Moderating Role of Rating Dispersion and Discount Threshold," Information Systems Research, INFORMS, vol. 29(3), pages 739-754, September.
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More about this item
Keywords
product type; online product reviews; user-generated content; data-driven approach;All these keywords.
JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
- M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
NEP fields
This paper has been announced in the following NEP Reports:- NEP-MKT-2014-10-22 (Marketing)
- NEP-UPT-2014-10-22 (Utility Models and Prospect Theory)
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