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Privacy-Preserving Personalized Revenue Management
16 references·1 citing·50 second hopsampled
Privacy-Preserving Personalized Revenue Management (2020)Privacy-Preserving Personalized Revenue M…Personalized Dynamic Pricing with Machine Learning: High-Dimensional Features and Heterogeneous Elasticity (2021)Personalized Dynamic Pricing …A Statistical Learning Approach to Personalization in Revenue Management (2021)A Statistical Learning Approa…Online Privacy and Information Disclosure by Consumers (2020)Online Privacy and Informatio…The Economics of Social Data (2019)The Economics of Social DataRevenue Management and Pricing Analytics (2019)Revenue Management and Pricin…Online Decision Making with High-Dimensional Covariates (2019)Online Decision Making with H…Data Analytics in Operations Management: A Review (2019)Data Analytics in Operations …The Economics of Privacy (2016)The Economics of PrivacyCompetitive Targeted Advertising Over Networks (2016)Competitive Targeted Advertis…Pricing Network Effects (2015)Pricing Network EffectsDynamic pricing and learning: Historical origins, current research, and new directions (2015)Dynamic pricing and learning:…Real-Time Optimization of Personalized Assortments (2014)Real-Time Optimization of Per…Dynamic Pricing with an Unknown Demand Model: Asymptotically Optimal Semi-Myopic Policies (2014)Dynamic Pricing with an Unkno…Improved Algorithms for Linear Stochastic Bandits (2011)Improved Algorithms for Linea…The Personalization Privacy Paradox: An Empirical Evaluation of Information Transparency and the Willingness to be Profiled Online for Personalization1 (2006)The Personalization Privacy P…Revenue Management Under a General Discrete Choice Model of Consumer Behavior (2004)Revenue Management Under a Ge…Consumer Privacy in Online Retail Supply Chains (2025)Consumer Privacy in Online Re…Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons (1994)The Theory and Practice of Revenue Management (2004)A review of revenue management: Recent generalizations and advances in industry applications (2019)Understanding Attitudes and Predicting Social Behavior (1980)Alternative Ways of Assessing Model Fit (1992)The Commitment-Trust Theory of Relationship Marketing (1994)Trust and privacy concern within social networking sites: A comparison of Facebook and MySpace (2007)The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online (2010)The role of data privacy in marketing (2016)Some aspects of the sequential design of experiments (1952)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Thompson Sampling for Contextual Bandits with Linear Payoffs (2012)Learning to Optimize via Posterior Sampling (2014)Introduction to Multi-Armed Bandits (2019)Conditional logit analysis of qualitative choice behavior (1972)Revenue Management: Research Overview and Prospects (1999)An overview of research on revenue management: current issues and future research (2006)Intertemporal Pricing with Strategic Customer Behavior (2007)Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint (2010)Pricing and revenue optimization (2002)Pricing and Revenue Optimization (2005)Dynamic Pricing Without Knowing the Demand Function: Risk Bounds and Near-Optimal Algorithms (2009)Recent Developments in Dynamic Pricing Research: Multiple Products, Competition, and Limited Demand Information (2014)Non-Stationary Stochastic Optimization (2015)Online Network Revenue Management Using Thompson Sampling (2018)The Simple Economics of Optimal Auctions (1989)Conditioning Prices on Purchase History (2005)Bayesian Persuasion (2011)Markets for Information: An Introduction (2019)Knowledge Accumulation, Privacy, and Growth in a Data Economy (2021)Too Much Data: Prices and Inefficiencies in Data Markets (2022)Dynamic Pricing in the Presence of Inventory Considerations: Research Overview, Current Practices, and Future Directions (2003)Autonomous algorithmic collusion: Q‐learning under sequential pricing (2021)Using confidence bounds for exploitation-exploration trade-offs (2003)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Mostly Exploration-Free Algorithms for Contextual Bandits (2020)Board engagement with digital technologies: A resource dependence framework (2021)From Reality to World. A Critical Perspective on AI Fairness (2022)The Market for "Lemons": Quality Uncertainty and the Market Mechanism (1970)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)User Acceptance of Information Technology: Toward A Unified View1 (2003)Nudges for Privacy and Security (2017)Secrets and Likes: The Drive for Privacy and the Difficulty of Achieving It in the Digital Age (2020)Digital transformation, sustainability, and purpose in the multinational enterprise (2022)Analytics for an Online Retailer: Demand Forecasting and Price Optimization (2015)The Big Data Newsvendor: Practical Insights from Machine Learning (2018)Privacy-Preserving Dynamic Personalized Pricing with Demand Learning (2021)Data-Driven Dynamic Pricing and Ordering with Perishable Inventory in a Changing Environment (2022)Supply Chain Resilience: A Critical Review of Risk Mitigation, Robust Optimisation, and Technological Solutions and Future Research Directions (2025)
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References

  • 2016The Economics of Privacy1,281 cited
  • 2006The Personalization Privacy Paradox: An Empirical Evaluation of Information Transparency and the Willingness to be Profiled Online for Personalization11,249 cited
  • 2004Revenue Management Under a General Discrete Choice Model of Consumer Behavior1,110 cited
  • 2011Improved Algorithms for Linear Stochastic Bandits860 cited
  • 2015Dynamic pricing and learning: Historical origins, current research, and new directions434 cited
  • 2014Dynamic Pricing with an Unknown Demand Model: Asymptotically Optimal Semi-Myopic Policies302 cited
  • 2019Online Decision Making with High-Dimensional Covariates264 cited
  • 2014Real-Time Optimization of Personalized Assortments250 cited
  • 2020Online Privacy and Information Disclosure by Consumers221 cited
  • 2021Personalized Dynamic Pricing with Machine Learning: High-Dimensional Features and Heterogeneous Elasticity202 cited
  • 2019Revenue Management and Pricing Analytics185 cited
  • 2019The Economics of Social Data184 cited
  • 2019Data Analytics in Operations Management: A Review182 cited
  • 2015Pricing Network Effects146 cited
  • 2021A Statistical Learning Approach to Personalization in Revenue Management

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142 cited
  • 2016Competitive Targeted Advertising Over Networks131 cited
  • Cited by

    • 2025Consumer Privacy in Online Retail Supply Chains21 cited