Informs 2015

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INFORMS Philadelphia – 2015
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3 - Dynamic Delegated Search
Morvarid Rahmani, Assistant Professor, Georgia Tech,
Atlanta, GA,
Karthik Ramachandran
Firms often delegate the search for solution of their innovative problems to third
parties (e.g., search for designs, advertisements, executive leaders, etc.) In this
paper we study how the client’s choice of search process (i.e., defined or open-
ended) depends on the strategic behavior of the provider. Taking the client’s and
provider’s perspective, we identify conditions for which a defined search is
preferred to an open-ended search.
4 - The Impact of Health Information Technology Bundles on Hospital
Performance: An Econometric Study
Aravind Chandrasekaran, Associate Professer, The Ohio State
University, 2100 Neil Avenue, Columbus, OH, 43210, United
States of America, , Luv Sharma
We examine how two HIT bundles: Clinical (used for patient data collection,
diagnosis and treatment) and Augmented Clinical (used for integrating patient
information and decision making) jointly impact operating cost and process
quality. Results suggest complementarities between these bundles with respect to
process quality but not cost. A posthoc analyses offers additional explanation on
the lack of association with cost.
TD10
10-Room 310, Marriott
Platform-Based Markets in the Digital Era
Sponsor: E-Business
Sponsored Session
Chair: Jason Chan, Assistant Professor, University of Minnesota, 321
19th Ave S, Minneapolis, MN, United States of America,
1 - Dynamic Strategies for Successful Online Crowdfunding
Zhuoxin (Allen) Li, Assistant Professor, Boston College,
140 Commonwealth Avenue, Chestnut Hill, MA, 02467,
United States of America, Jason A. Duan
This paper empirically investigates the dynamics of investors’ backing behaviors in
the presence of network externalities and a finite time window. Model estimation
shows that investors are more likely to back a project that has already attracted a
critical mass of funding. For the same amount of achieved funding, the backing
propensity declines over time.
2 - The Effect of Disclosing Purchase Information on Review
Helpfulness: Evidence from
Marios Kokkodis, Assistant Professor, Boston College,
34 E 10th, New York, NY, 10009, United States of America,
In this work, we study how the introduction of the Verified Purchase (VP) feature
affected review helpfulness on the Amazon platform. We find that all else equal,
`search’ product VP reviews are on average 3.6% more helpful than nonVP
reviews, and `experience’ product VP reviews are 5.6% more helpful than non-
VP reviews.
3 - The Business Value of Recommendations: A Privacy-preserving
Econometric Analysis
Panagiotis Adamopoulos, Doctoral Candidate, New York
University, 44 W 4th St, New York, NY, United States of America,
Alexander Tuzhilin
We study the effectiveness of different types of mobile recommendations and
their impact on economic demand, using a privacy-preserving econometric
analysis. Our observational data set is based on a real-world mobile recommender
system, which we further supplement with climate, geospatial, and population
and household data. Based on our findings, an increase by 10% in the number of
times a venue is recommended raises the demand by about 6.7%.
4 - Effect of Valuation Uncertainty on Buyer Indecision and Bidder
Regret in Online Labor Markets
Kevin Hong, Assistant Professor, Arizona State University,
400 E Lemon St, Tempe, AZ, United States of America,
Paul Pavlou, Alvin Zheng
In online labor markets, 60% of projects fail to reach to a contract, and significant
bidder remorse is observed, indicating a waste of time and effort for both buyers
and freelancers.This paper empirically examines how valuation uncertainty -
measured as bids price dispersion - affects buyer’s contract indecision and bidders’
regret after the buyer awards a contract. We find bids valuation uncertainty
increases both buyer’s contract indecision and bidders’ regret.
TD12
12-Franklin 2, Marriott
MAS Tutorial: The State of Operations Research in
the US Military: A 75th Anniversary Perspective
Sponsor: Military Applications
Sponsored Session
Chair: Greg Parlier, Past President, MAS of INFORMS, 255 Avian Lane,
Madison, AL, 35758, United States of America,
1 - The State of Operations Research in the U.S. Military:
A 75th Anniversary Perspective
Greg Parlier, Past President, MAS of INFORMS, 255 Avian Lane,
Madison, AL, 35758, United States of America,
This extended presentation offers perspectives on the past, present, and future of
Operations Research in the US Department of Defense with emphasis on the
Army. The need for a critical review is argued, and a framework for a
comprehensive assessment is developed. Enduring principles are suggested and
new concepts are presented, including both strategic and transformational
analytics.
TD14
14-Franklin 4, Marriott
Engineering Systems Applications
Sponsor: Optimization/Optimization Under Uncertainty
Sponsored Session
Chair: Honggang Wang, Assistant Professor, Rutgers University,
96 Frelinghuysen Rd, 201 CoRE, Piscataway, NJ, 08854,
United States of America,
1 - Optimization of Maintenance Planning for Water Distribution
Network under Stochastic Failures
Xin Chen, Assistant Professor, Southern Illinois University,
P.O. Box 1805, Edwardsville, IL, 62034, United States of America,
Honggang Wang
Cost-effective and preventive maintenance for water distribution networks
(WDN) is essential for sustainable and reliable use of water resources. We develop
mathematical models and apply optimization procedures for optimal WDN
maintenance planning under stochastic failures. We demonstrate the
mathematical models and optimization approach using a regional WDN in a large
U.S. city. We apply genetics algorithms to solve the optimization problem and find
the optimum maintenance plan for the WDN.
2 - Optimal Development of Shale Gas Field
Honggang Wang, Assistant Professor, Rutgers University,
96 Frelinghuysen Rd, 201 CoRE, Piscataway, NJ, 08854,
United States of America,
Optimal development of shale gas involves determining the most-productive
fracturing network via hydraulic stimulation processes in shale reservoirs. Shale
gas development problems can be formulated with mixed-integer optimization
models. We apply a simplex interpolation based optimization method to solve
mixed integer optimization problems associated with shale gas production
projects. The optimization performance is demonstrated with the example case of
developing the Barnett shale field.
3 - Resource Abstraction in Planning and Design of Virtual
Data Centers
Dimitri Papadimitriou, Copernicuslaan 50, 2018, Antwerp, 2018,
Belgium,
Virtual data centers enable flexible allocation of capacity to customer demands by
aggregating physical resources taken out of a subset of data centers (facilities) to
satisfy customer demands. The goal is to determine the capacity to be provisioned
on opened facilities and the assignment that minimize the cost of opening,
supplying demands and connecting each customer to a subset of facilities. We
compare the resulting cost against the corresponding capacitated facility location
problem.
TD14