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INFORMS Journal Highlights from August 2017
AUTHOR SPOTLIGHT
VEDAT BAYRAM
“There has been a significant increase in the number of natural and man-made disasters over the past decades. The massive amount of destruction caused and the tremendous operational challenges imposed by disasters on governments and humanitarian agencies illustrate the importance of a disaster management program. An important part of such a program is to evacuate a disaster region to protect people threatened by the disaster. The unusual surge in traffic demand far beyond the capacity of the road network and the fact that people’s lives are at stake, make the evacuation traffic management problem critical. Often, the problem of locating safe shelters is solved independently from evacuation traffic management/planning problem, or ignored. Generally, an evacuation traffic management/planning problem is solved with shelter location decisions as given. However, considering these two problems separately may result in suboptimal, i.e., less efficient evacuation plans. Considering these two problems simultaneously renders the problem a hard one. Additionally, the inherent uncertainty in such problems increases the complexity of the problem. As such, saving human lives and the challenges of this problem are my main motivation.”
David L. Woodruff
INFORMS Journal on Computing
“Scheduling in the uncertain environments of the healthcare industry provides an opportunity for analytics techniques to improve the efficiency of resource utilization and improve patient experiences. In ‘Fast Approximation Methods for Online Scheduling of Outpatient Procedure Centers,’ Berg and Denton provide a rigorously justified algorithm that is implementable. In addition to the direct application to the scheduling of outpatient medical procedures, the paper can lead to further research on related problems.”
Fast Approximation Methods for Online Scheduling of Outpatient Procedure Centers
Bjorn P. Berg, Brian T. Denton
Michael F. Gorman
Interfaces
“The concept of big data has caught the attention of business leaders. However, there is still widespread confusion in industry as to how to treat such data. Important questions arise about whether we (1) are collecting the right data; (2) have the capacity to store the data we collect; and (3) are analyzing the data correctly. In this article, Tarvin et al. examined price volatility across customers, time, and products. The authors gleaned the following lessons: (1) multinational companies can face problems because of a basic lack of analytical expertise; (2) although many companies possess copious amounts of data, they lack the ability to process these data in any meaningful manner; (3) analytical methods need to be developed incrementally, sometimes beginning with fundamental concepts and tools; (4) although starting with small samples is a common way to ensure proof of concept, processes generally need to be scalable, and users need to be aware of their limitations; and (5) the trend toward employing an in-house computational group will have increasingly important ramifications for the company’s overall operational and financial health.”
Lessons Learned from a Company Dealing with Big Data
D. Antony Tarvin, Levente Sipeki, Alexandra M. Newman, Amanda S. Hering
78
New Articles
Editorial Board
Published Online:
A Sociocognitive View of Repeated Interfirm Exchanges: How the Coevolution of Trust and Learning Impacts Subsequent Contracts
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Measuring Up? Persistence and Change in Analysts’ Evaluative Schemas Following Technological Change
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Make Them Feel: How the Disclosure of Pregnancy to a Supervisor Leads to Changes in Perceived Supervisor Support
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Book Reviews
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INFORMS MEETING CALENDAR
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The Influence of Hierarchy on Idea Generation and Selection in the Innovation Process
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In This Issue
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136,142
Article Downloads
OM Forum—Three Simple Approaches for Young Scholars to Identify Relevant and Novel Research Topics in Operations Management
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Applications of Operations Research in the Air Transport Industry
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Editorial—Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research
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Scenario Analysis in Spreadsheets with Excel's Scenario Tool
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Using Mathematics to Solve Some Problems in Industry
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Net Neutrality, Exclusivity Contracts, and Internet Fragmentation
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SOCEMO: Surrogate Optimization of Computationally Expensive Multiobjective Problems
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The Influence of Hierarchy on Idea Generation and Selection in the Innovation Process
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Integrating Personality and Social Networks: A Meta-Analysis of Personality, Network Position, and Work Outcomes in Organizations
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Introduction to the Theory and Practice of Yield Management
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JOURNAL SPOTLIGHT
Marketing Science
Editor-in-Chief: K. Sudhir
Impact Factor: 2.163
5-year Impact Factor: 3.588
Impact Factor: 2.163
5-year Impact Factor: 3.588
“Marketing Science is the premier journal focusing on empirical and theoretical quantitative research in marketing. Topics covered include advertising, buyer behavior, channels, competitive strategy, forecasting, marketing research, new product development, pricing and promotions, sales force management, segmentation, services marketing, and targetability. Other subjects include models of consumer perceptions, purchasing behavior, electronic commerce, market research, and interaction between manufacturers and retailers.
The primary focus of the journal is on articles that answer important research questions in marketing using mathematical modeling. However, the journal is receptive to a diverse set of scientific approaches, including surveys, experiments, aggregate data analyses, deductive analyses, comprehensive reviews, well-documented applications, and novel implications of developments in other literatures.
Marketing Science seeks to reach a diverse audience well beyond academics in quantitative marketing — e.g., marketing managers, general managers, public policy makers, regulators, consumers, consultants, market research professionals, other disciplines, etc. — and provide significant new knowledge or fundamental understanding that has the potential to allow their target audience to make superior decisions or take superior actions.
Over the last few years, Marketing Science has sought to serve as a catalyst to expand the scope of substantive and methodological problems addressed by marketing scholars through a variety of special issues. In the works are special issues focused on mobile and health, as well as a special issue on consumer protection which was preceded by a conference held in partnership with the Federal Trade Commission, which served as a vehicle for marketing scholars to learn about the FTC’s practice in consumer protection — such as advertising claims, review and feedback systems, privacy and data security issue, marketing fraud, and use of behavioral biases — thereby promoting research with potentially high impact in the practice of consumer protection and regulation, and to introduce FTC staff to some of the cutting-edge research being done by marketing scholars that are relevant to its practice. Also in the works is a special issue on field experiments to promote papers that expand the scope of field-based causal research on a wide range of marketing problems.
Be sure to check out our special section on emerging markets — the four papers in this special section address different subsets of the characteristics of emerging markets: the first two papers address issues of technology adoption, one among poor consumers and the other among businesses by exploring particular issues relevant to emerging markets; the final two papers address how firms address particular marketing challenges arising in emerging markets: counterfeiting and negative “emerging” country of origin effects. A previous issue around big data has already accelerated new research and submissions on various substantive and methodological issues arising from the emergence of big data.
Marketing Science continues to welcome research on these topics and other novel areas that expand the scope of marketing research, especially at the interface of marketing and operations, information systems, and computer science.”