Mission Statement

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.

Departmental Editor

Professor Dan Zhang
University of Colorado Boulder
dan.zhang@colorado.edu

Senior Editors

Goker Aydin, Johns Hopkins University
Stefanus Jasin, University of Michigan
Sumit Kunnumkal, Indian School of Business
Jun Li, University of Michigan
Ilan Lobel, New York University
Robert L. Phillips, Nomis Solutions
Paat Rusmevichientong, University of Southern California
Kalyan Talluri, Imperial College, London
Huseyin Topaloglu, Cornell University
Ruxian Wang, Johns Hopkins University
Zizhuo Wang, University of Minnesota