Revenue Management and Market Analytics
Introduction
The journals Management Science and Operations Research have added this new editorial area
The two flagship journals of INFORMS, Management Science (MS) and Operations Research (OR), have recently introduced a new editorial area in Revenue Management and Market Analytics. We would like to bring this to your attention and encourage you to submit your relevant impactful research in this exciting and dynamic area.
Rapid changes in information, communication, and computing technology 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, they also enable much finer grained optimization of all the determinants of market outcomes.
These changes have made the practice of revenue management (including capacity allocation controls, dynamic pricing, dynamic bundling, bargaining and negotiated pricing, customized pricing, assortment optimization, auctions, etc.) relevant in a much wider range of industries: not only traditional applications such as airlines, hotels and rentals, but also novel areas such as e-commerce, ride sharing, energy, railways, and road pricing.
These forces are also 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. 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.
The introduction of the Revenue Management and Market Analytics area in MS and OR is a response to this burgeoning area of research. There is a clear overlap in the papers that are suitable in both journals, with some slight differences in emphasis as stated in their editorial statements.
MS seeks 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, Omar Besbes, Rene Caldentey, Arnoud den Boer, Karan Girotra, Stefanus Jasin, Ilan Lobel, Marcelo Olivares, Sridhar Seshadri, Huseyin Topaloglu.
OR seeks 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 solve a relevant practical problem, supported by a well-documented numerical study, ideally based on real data.
Associate Editors: Omar Besbes, Rene Caldentey, William Cooper, Jose Correa, Vivek Farias, Ming Hu, Nicole Immorlica, Yash Kanoria, Ilan Lobel, Paat Rusmevichientong, and Huseyin Topaloglu
Sincerely,
Kalyan Talluri and Gabriel Weintraub (Department Co-Editors, RM&MA, Management Science)
Ramesh Johari and Gustavo Vulcano (Area Co-Editors, RM&MA, Operations Research)
Gabriel Weintraub
Associate Professor
Stanford Graduate School of Business