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Management Science

Revenue Management and Market Analytics Department

Department Editors:  Omar Besbes and Gabriel Weintraub

Revenue management has traditionally been concerned with managing scarce capacity by using pricing mechanisms and demand management as an operational tool. The practice of revenue management is taking hold in many industries and takes various forms: capacity allocation controls, dynamic pricing, dynamic bundling, bargaining and negotiated pricing, customized pricing, assortment optimization, auctions, and so on. From industries such as airlines, hotels and rentals, these days we also see such practices in e-commerce, taxis, energy, railways, and road pricing. 

The rise of platforms is another new phenomenon. Recent trends point to an unprecedented level of control over the design, implementation, and operation of markets: more than ever before, we are able to engineer the platforms governing transactions among market participants. As a consequence, market operators or platforms can control a host of variables such as pricing, liquidity, visibility, information revelation, terms of trade, and transaction fees. On its part, given these variables, market participants often face complex problems when optimizing their own decisions. Operational study of these platforms and their design is still in their infancy and we encourage submissions studying these markets, both from the perspective of the market operator and the market participants.

We seek well-written papers that are connected to reality, improve our understanding of the application domain at-hand, and ideally have a possibility of implementation. We look for a mix of approaches including modeling, theoretical, empirical, or computational. The paper should score high on most of the following criteria: (1) How realistic and significant is the application studied?; (2) How original/creative is the approach adopted?; (3) How significant would be its impact on practice? 

Associate Editors:  Itai Ashlagi, Santiago Balseiro, Kostas Bimpikis, Rene Caldentey, Felipe Caro, Arnoud den Boer, Karan Girotra, Stefanus Jasin, Jun Li, Ilan Lobel, Brendan Lucier, Vahideh Manshadi, Marcelo Olivares, Saša Pekeč, Sridhar Seshadri, Huseyin Topaloglu, Senthil Veeraraghavan, Fanyin Zheng.

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Naval Research Logistics

Revenue Management and Marketplace Design Department 
(Officially sponsored by the INFORMS RMP section)

Department Editor:  René Caldentey

The Revenue Management and Marketplace Design (RMMD) department seeks to publish papers at the forefront of advancing the theory and practice of Revenue Management and Dynamic Pricing and its linkage to the growing area of marketplace innovation and the sharing economy.

Revenue Management and Dynamic Pricing (RMDP) is a multidisciplinary research area that combines operations research, stochastic optimization, economics, marketing and data analytics to solve problems related to the management and pricing of scarce and perishable resources. Revenue Management has had a transforming impact on the transportation (airlines, railway, rental car), hospitality (hotels, cruise lines, casinos) and retail (apparel, consumer goods) industries. However, the rise of online marketplaces and Internet exchanges is rapidly expanding the scope of RMDP to a broad range of applications including media and Internet advertising, sharing economy markets, labor and procurement platforms, healthcare exchanges, to name a few.

The RMMD department is committed to publishing and disseminating the best articles that provide original theoretical results and advance the state-of-the-art of the models and methods used to solve real problems. We particularly welcome papers that explore emerging issues in the field and the connection between RMDP and marketplace design.

Associate Editors: Victor Araman, Ozan Candogan, Pavithra Harsha, and Stefanus Jasin.

Operations Research

Revenue Management and Market Analytics Area

Area Editors:  Ramesh Johari and Gustavo Vulcano

The Revenue Management and Market Analytics area considers articles at the forefront of advancing the theory and practice of pricing and revenue optimization, and design and operation of market platforms.

Rapid changes in information, communication, and computing technology that are altering all aspects of our economic interactions. Not only do these advances enable us to collect ever more detailed data on customer and firm behavior, but they also enable much finer grained optimization of all the determinants of market outcomes. As a consequence, market operators or platforms can control a host of variables such as pricing, liquidity, search and matching, information revelation, terms of trade, and transaction fees. Analogously, market participants have far greater control over bidding, pricing, assortment optimization, and revenue optimization. These forces are being borne out in the rise of online marketplaces across a wide range of industries: more than ever before, we are able to engineer the platforms governing transactions among market participants.

These forces are evident in the spectrum of academic research pushing beyond traditional models of pricing and revenue management: more sophisticated models of consumer choice and behavioral biases; real-time pricing decisions (e.g., as in ride-sharing and ad auctions); fine-grained, dynamic search and matching algorithms; novel rating and review systems; dynamic bundling (and unbundling) of products; personalized assortments and discounts; etc.

We seek high-impact papers with deep roots in real problems, with a slight preference for (but not limited to) significant methodological or analytical contributions. We also welcome papers that excel in their modeling and/or computational approach to solving a relevant practical problem, supported by a well-documented numerical study, ideally based on real data.

Associate Editors: Omar Besbes, Kostas Bimpikis, Rene Caldentey, William Cooper, Jose Correa, Vivek Farias, Vineet Goyal, Ming Hu, Nicole Immorlica, Srikanth Jagabathula, Yash Kanoria, Ilan Lobel, Paat Rusmevichientong, and Huseyin Topaloglu.

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Production and Operations Management

Revenue Management Department

Department Editor: Dan Zhang

The Revenue Management Department welcomes research that uses operations research, econometrics, and behavioral and analytics tools to study how to better match the supply of a good or service with its demand over time. The scope of the department spans traditional areas of pricing and revenue optimization, such as transportation and hospitality, and emerging applications in retail analytics, healthcare, web advertising, sharing economy, and online matching markets, etc. Recent developments in the field allow finer control of many variables besides pricing and capacity; examples include information structure, liquidity, matching mechanism, etc.

Submitted papers are expected to disseminate innovative research and application in pricing and revenue optimization. They can be (but are not limited to) i) novel applications of revenue management in traditional and emerging application domains, ii) economic models, iii) methodological contribution to the solutions of existing problems, and iv) behavioral and empirical studies that validate existing theory or examine market phenomena. We encourage submissions that explore the interplay between revenue management and manufacturing, service operations, and supply chain management. Papers need to be well written, make a significant contribution to the field, be methodologically sound, and be of practical relevance.

Senior Editors: Goker Aydin, Rene Caldentey, Stefanus Jasin, Sumit Kunnumkal, Ilan Lobel, Georgia Perakis, Robert L. Phillips, Paat Rusmevichientong, Kalyan Talluri, Huseyin Topaloglu, Zizhuo Wang


Service, Platforms, and Revenue Management

Area Editors:  Mor Armori, Marcelo Olivares, and Guillaume Roels

Analytics in Operations

Area Editors:  Melvyn Sim, and Huseyin Topaloglu