Customer Behavior Modeling in Revenue Management and Auctions: A Review and New Research Opportunities
By Zuo-Jun Max Shen, Xuanming Su. 2007
372 citations recorded by the source corpus.
Subfields: Management Information Systems, Management Science and Operations Research, Marketing
View Paper: https://www.semanticscholar.org/paper/ea24bb858ba175f3dfe21a739ee35bca302cc8b8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Information Systems
- Ming Chen
- Zhi-Long Chen
- Paat Rusmevichientong
- Xin Zhai
- David B. Shmoys
- Yuri Levin
- Zuo-Jun Max Shen
- Jingchen Liu
In Management Science and Operations Research
- Paat Rusmevichientong
- David B. Shmoys
- Yuri Levin
- Zuo-Jun Max Shen
- Ming Chen
- Mikhail Nediak
- Jeff McGill
- Zhi-Long Chen
In Marketing
- Ming Chen
- Zhi-Long Chen
- Paat Rusmevichientong
- Xin Zhai
- David B. Shmoys
- Yuri Levin
- Zuo-Jun Max Shen
- Jingchen Liu
Citations in the corpus
- Optimal pricing strategy under trade-in program in the presence of strategic consumers (2019, background): “Shen and Su [39] provide a prominent review of strategic consumer behavior in revenue management and suggest future research directions.”
- Recent Developments in Dynamic Pricing Research: Multiple Products, Competition, and Limited Demand Information (2015, background): “There are several existing reviews on dynamic pricing and related problems (Aviv et al. 2009, Bitran and Caldentey 2003, Chan et al. 2004, Elmaghraby and Keskinocak 2003, Shen and Su 2007).”
- Research opportunities in purchasing and supply management (2012, neutral): “Articles with a focus on the future direction of research also include Shen and Su (2007), who conducted a literature review of customer behaviour modelling in revenue management and auctions, and Hill et al. (2002), who presented research opportunities in service design.”
- Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint (2010, background): “The lack of a transparent relationship between v and Z∗ makes it very difficult to apply and analyze this algorithm in a dynamic setting, where v is unknown and must be estimated from data.”
- Dynamic Pricing and Learning: Historical Origins, Current Research, and New Directions (2013, neutral): “by Shen and Su [121] and Gönsch et al.”
- Optimal Dynamic Pricing of Perishable Items by a Monopolist Facing Strategic Consumers (2010, background): “The literature on consumer behavior issues in RM for perishable products is growing rapidly; for a survey see Shen and Su (2007).”