Competitive Pricing of Innovative Products with Consumers’ Social Learning
Lu Xiao,
Hang Zhang and
Yong Qin
Additional contact information
Lu Xiao: School of Management, Guangdong University of Technology, Guangzhou 510520, China
Hang Zhang: China Development Bank Hubei Branch, Wuhan 430061, China
Yong Qin: Training Base, Army Logistics University of PLA, Wuhan 430035, China
Sustainability, 2020, vol. 12, issue 9, 1-13
Abstract:
Consumers often face valuation uncertainty when innovative products are introduced into market, and they may update the valuation about product quality based on historical sales information over time. Based on this background, this study constructed a two-period duopoly model of innovative products and investigated the effect of consumers’ social learning on enterprises’ pricing strategies and profits. Optimal pricing decisions for competitive enterprises with and without consumers’ social learning were obtained. It was found that consumers’ social learning will intensify competition between enterprises, which will lower their prices and profits. The stronger the learning intensity of consumers, the greater the profit loss for enterprises.
Keywords: innovative products; pricing strategies; competition; social learning (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2071-1050/12/9/3806/pdf (application/pdf)
https://www.mdpi.com/2071-1050/12/9/3806/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:9:p:3806-:d:354917
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().