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INFORMS Journal Highlights from January 2018
AUTHOR SPOTLIGHT
LUYI GUI
“Proper treatment of end-of-life products such as electronic waste has become one of the most pressing issues around the globe, and it is important to understand how environmental policies should be designed and implemented to effectively tackle this issue. Meanwhile, policy implementation is a complex process, and analyzing this process requires novel ways that synthesize concepts and tools from different areas such as operations research, game theory, mechanism design, etc.”More by this Author
A Market-Based Mechanism for Global Vaccine Procurement Coalitions
Emission Reduction Through Regulating Indirect Sources
Call for Papers—Service Science Special Issue on Sustainability-Driven Service Innovations
Not All Lines Are Skipped Equally: An Experimental Investigation of Line-Sitting and Express Lines
Waste Not Want Not? The Environmental Implications of Quick Response and Upcycling
David L. Woodruff
INFORMS Journal on Computing
“Simulation applications permeate government, business, and engineering. The ability to provide optimized decisions based on simulation extends the importance of simulation and the domain of optimization. The method described by Zhou and Bhatnagar in their paper "Gradient-Based Adaptive Stochastic Search for Simulation Optimization Over Continuous Space" samples from the parameter space and uses direct gradient search to update the sampling distribution. The paper provides analytic and experimental results.”
Gradient-Based Adaptive Stochastic Search for Simulation Optimization Over Continuous Space
Enlu Zhou, Shalabh Bhatnagar
Michael F. Gorman
Interfaces
“Each year, there is a lot of speculation on who will make the NCAA basketball tournament. Pundits speculate what the tournament committee will do. Rather than guess outcomes, math programming can help identify which inputs get the most weight by the committee and, thus, better predict what they will do given that information. What is important to the committee? Winning? Associated Press ranking? Strength of schedule? Big wins against good opponents? Bad losses? Bruce Reinig and Ira Horowitz developed a mathematical model to figure out what the committee weights most heavily and, thus, what they are likely to do with the ‘at large’ (discretionary) tournament bids. The model not only predicts who gets in, but what their likely seed is. Get ready for March Madness with Mathematical Methods! Perhaps the tournament selection committee could be replaced by a math program.”
Using Mathematical Programming to Select and Seed Teams for the NCAA Tournament
Lia Patrício, Nelson Figueiredo de Pinho, Jorge Bruce A. Reinig, Ira Horowitz
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Some Customers Would Rather Leave Without Saying Goodbye
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Selling Your Product Through Competitors’ Outlets: Channel Strategy When Consumers Comparison Shop
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A Flexible Method for Protecting Marketing Data: An Application to Point-of-Sale Data
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Focus On Authors
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Editorial—Introducing A New Section—Marketing Science: Frontiers
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Editorial Board
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Special Issue on Uncertainty in Logistics and Transportation Systems
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172,293
Article Downloads
Cultural Brokerage and Creative Performance in Multicultural Teams
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Call for Papers—Special Issue of Information Systems Research Fintech – Innovating the Financial Industry Through Emerging Information Technologies
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Editorial—Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research
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Using Mathematics to Solve Some Problems in Industry
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Applications of Operations Research in the Air Transport Industry
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JOURNAL SPOTLIGHT
Operations Research
Editor-in-Chief: John Birge
Impact Factor: 1.779
5-year Impact Factor: 2.787
Impact Factor: 1.779
5-year Impact Factor: 2.787
“While operations research and its namesake journal, Operations Research, are now well-established as representing the forefront of the science of optimal decision-making, the field has been evolving in dynamic ways, reflected in the new areas of the journal and changes in missions of the legacy journal areas. Many of the areas now explicitly consider the analysis of data as a core consideration. In some ways, this development harkens back to the early days of O.R. making sense of submarine spottings and radar intercepts. The new journal area of Machine Learning and Data Science explicitly focuses on these issues and the many ways in which O.R. can enhance the acquisition of information from data and incorporate that process into decision-making. Another new area of the journal, Revenue Management and Market Analytics, also highlights the use of data and the impact of information technology in the decision-making process, especially for the development of new marketplaces and the realignment of traditional settings.
In addition to encouraging submissions that address new areas of inquiry and the role of data in operations research, Operations Research also has an intensified focus on the reproducibility of results. A goal of the journal will be to ensure that all numerical results appearing in the journal can be reproduced with minimal effort through the dissemination of all non-proprietary data and associated computer codes with articles appearing in the journal. We hope that this will enable ever greater advances in the field as well as a strengthening of the field’s impact on the world around us.”