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Omnichannel management with consumer disappointment aversion · Study

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ArticleOmnichannel management with consumer disappointment aversion

Shaofu Du2018

Article2018

Omnichannel management with consumer disappointment aversion

Shaofu Du · Li Wang · Li Hu

109 citations·0/0 files stored·International Journal of Production Economics

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Supply Chain and Inventory Management Consumer Market Behavior and Pricing Consumer Retail Behavior Studies

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References

2015From Multi-Channel Retailing to Omni-Channel Retailing 2003Direct Marketing, Indirect Profits: A Strategic Analysis of Dual-Channel Supply-Chain Design 1991A Theory of Disappointment Aversion 1985Disappointment in Decision Making Under Uncertainty 2007Reference-Dependent Risk Attitudes 2014Challenges and solutions for marketing in a digital era 2012Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information 2016Omnichannel Retail Operations with Buy-Online-and-Pick-up-in-Store

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2020Impact of a “Buy-online-and-pickup-in-store” Channel on Price and Quality Decisions in a Supply Chain 2020Online finance with dual channels and bidirectional free-riding effect 2019Operation strategies for an omni-channel supply chain: Who is better off taking on the online channel and offline service?2022The value of influencer channel in an emerging livestreaming e-commerce model 2020Buy-online-and-deliver-from-store strategy for a dual-channel supply chain considering retailer’s location advantage

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Details

Year2018

Typearticle

Published2018-05-07

VenueInternational Journal of Production Economics

ISSN-L0925-5273

Languageen

Citations109

Files0 public / 0

ShelfSupply Chain and Inventory Management

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doi10.1016/j.ijpe.2018.05.002

openalex_workW2801816902

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2019Multi-period price optimization problem for omnichannel retailers accounting for customer heterogeneity

2020Omnichannel retailing operations with coupon promotions

2021Price, online coupon, and store service effort decisions under different omnichannel retailing models