Nuri Bora Keskin

Journal Article Operations Research · September 1, 2025 We consider an electric utility company that serves retail electricity customers over a discrete-time horizon. In each period, the company observes the customers’ consumption and high-dimensional features on customer characteristics and exogenous factors. ... Full text Cite

Markdown Policies for Demand Learning with Forward-Looking Customers

Journal Article Operations Research · September 1, 2025 We consider the markdown pricing problem of a firm that sells a product to a mixture of myopic and forward-looking customers. The firm faces uncertainty about the customers’ forward-looking behavior, arrival pattern, and valuations for the product, which w ... Full text Cite

The Blockchain Newsvendor: Value of Freshness Transparency and Smart Contracts

Journal Article Management Science · August 1, 2025 Motivated by blockchain applications in the fresh produce industry, we consider a newsvendor problem in which a retailer faces stochastic and freshness-dependent consumer demand. The retailer can adopt blockchain technology to have more transparent informa ... Full text Cite

To Interfere or Not To Interfere: Information Revelation and Price-Setting Incentives in a Multiagent Learning Environment

Journal Article Operations Research · November 1, 2024 We consider a platform in which multiple sellers offer their products for sale over a time horizon of T periods. Each seller sets its own price. The platform collects a fraction of the sales revenue and provides price-setting incentives to the sellers to m ... Full text Cite

Selling Quality-Differentiated Products in a Markovian Market with Unknown Transition Probabilities

Journal Article Operations Research · May 1, 2024 In this paper, we study a firm’s dynamic pricing problem in the presence of unknown and time-varying heterogeneity in customers’ preferences for quality. The firm offers a standard product as well as a premium product to deal with this heterogeneity. First ... Full text Cite

Dynamic Pricing with Demand Learning and Reference Effects

Journal Article Management Science · October 1, 2022 We consider a seller's dynamic pricing problem with demand learning and reference effects. We first study the case in which customers are loss-averse: they have a reference price that can vary over time, and the demand reduction when the selling price exce ... Full text Cite

Impact of Information Asymmetry and Limited Production Capacity on Business Interruption Insurance

Journal Article Management Science · April 1, 2022 We consider a firm that faces a potential disruption in its normal operations can purchase business interruption (BI) insurance from an insurer to guard against the disruption risk. The firm makes demand forecasts and can put a recovery effort if a disrupt ... Full text Cite

Data-Driven Dynamic Pricing and Ordering with Perishable Inventory in a Changing Environment

Journal Article Management Science · March 1, 2022 We consider a retailer that sells a perishable product, making joint pricing and inventory ordering decisions over a finite time horizon of T periods with lost sales. Exploring a real-life data set from a leading supermarket chain, we identify several dist ... Full text Cite

Dynamic Learning and Market Making in Spread Betting Markets with Informed Bettors

Journal Article Operations Research · November 1, 2021 We study the profit-maximization problem of a market maker in a spread betting market. In this market, the market maker quotes cutoff lines for the outcome of a certain future event as "prices,"and bettors bet on whether the event outcome exceeds the cutof ... Full text Cite

Competition between two-sided platforms under demand and supply congestion effects

Journal Article Manufacturing and Service Operations Management · September 1, 2021 Problem definition: This paper explores the impact of competition between platforms in the sharing economy. Examples include the cases of Uber and Lyft in the context of ride-sharing platforms. In particular, we consider competition between two platforms t ... Full text Cite

Personalized dynamic pricing with machine learning: High-dimensional features and heterogeneous elasticity

Journal Article Management Science · September 1, 2021 We consider a seller who can dynamically adjust the price of a product at the individual customer level, by utilizing information about customers’ characteristics encoded as a d-dimensional feature vector. We assume a personalized demand model, parameters ... Full text Cite

Discontinuous demand functions: Estimation and pricing

Journal Article Management Science · October 1, 2020 We consider a dynamic pricing problem with an unknown and discontinuous demand function. There is a seller who dynamically sets the price of a product over a multiperiod time horizon. The expected demand for the product is a piecewise continuous and parame ... Full text Cite

Dynamic learning and market making in spread betting markets with informed bettors

Conference ACM EC 2019 Proceedings of the 2019 ACM Conference on Economics and Computation · June 17, 2019 Full text Cite

Dynamic selling mechanisms for product differentiation and learning

Journal Article Operations Research · January 1, 2019 We consider a firm that designs a vertically differentiated product line for a population of customers with heterogeneous quality sensitivities. The firm faces an uncertainty about the cost of quality, and we formulate this uncertainty as a belief distribu ... Full text Cite

On incomplete learning and certainty-equivalence control

Journal Article Operations Research · July 1, 2018 We consider a dynamic learning problem where a decision maker sequentially selects a control and observes a response variable that depends on chosen control and an unknown sensitivity parameter. After every observation, the decision maker updates his or he ... Full text Cite

Chasing demand: Learning and earning in a changing environment

Journal Article Mathematics of Operations Research · May 1, 2017 We consider a dynamic pricing problem in which a seller faces an unknown demand model that can change over time. The amount of change over a time horizon of T periods is measured using a variation metric that allows for a broad spectrum of temporal behavio ... Full text Cite

Dynamic pricing with an unknown demand model: Asymptotically optimal semi-myopic policies

Journal Article Operations Research · September 1, 2014 We consider a monopolist who sells a set of products over a time horizon of T periods. The seller initially does not know the parameters of the products' linear demand curve, but can estimate them based on demand observations. We first assume that the sell ... Full text Cite

Bayesian dynamic pricing policies: Learning and earning under a binary prior distribution

Journal Article Management Science · March 1, 2012 Motivated by applications in financial services, we consider a seller who offers prices sequentially to a stream of potential customers, observing either success or failure in each sales attempt. The parameters of the underlying demand model are initially ... Full text Cite