Informs 2015

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INFORMS Philadelphia – 2015
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TA25
25-Room 402, Marriott
Online Information Intermediaries
Sponsor: Information Systems
Sponsored Session
Chair: Animesh Animesh, Associate Professor, McGill University,
1001 Rue Sherbrooke Ouest, Montreal, QC, h3a1g5, Canada,
1 - First-mover Advantage in Online Review Platform
Qianran Jin, McGill University, 1001 Sherbrooke Street West,
Montreal, Canada, Animesh
Animesh, Alain Pinsonneault
While first-mover advantage has been widely studied at firm-level, our research
focuses on individual-level first-mover advantage in online review platform. We
study whether early reviews receive higher proportion of helpful votes than later
reviews. Our preliminary results show that early reviews are perceived to be more
helpful than later reviews. The first-mover advantage is greater for high
frequency reviewer than low frequency reviewer.
2 - What Makes Geeks Tick? A Study of Stack Overflow Careers
Lei Xu, McGill University, 855 Sherbrooke Street West, Montreal,
Canada, , Tingting Nian, Luis Cabral
The success of a platform depends crucially on a thorough understanding of
motivations behind user participation. The identification has always been a
challenging task. We use a revealed preference approach to show that career
concerns play an important role in user contributions to Stack Overflow, the
largest online programming community. We show that career concerns explain
16% drop in answers activity after a job change. Robustness tests are conducted
to tease out alternative explanations.
3 - The Dynamics of Online Referral Channels and E-commerce
Website Performance
Wenjing Duan, Associate Professor, The George Washington
University, 2201 G Street, NW, Washington, DC, 20052,
United States of America, , Jie Zhang
This study investigates the dynamic relationship between three referral channels
—- search engine, social medial, and third-party advertising —- and e-commerce
website performance. Our results derived from vector autoregressive models
suggest a significantly differential predictive relationship between referrals from
the three channels and sales performance measures.
4 - The Interactions Between Herding and Social Media Word-of-
Mouth: Evidence from Groupon
Xitong Li, Dr., HEC Paris, 1 Rue de la Liberation, Batiment V,
2eme etage, Bureau 207, Jouy-en-Josas,, 78351, France,
, Lynn Wu
This study aims to test if there is any complementary interaction between herding
and social media WOM. Using a panel data set from , we show they
reinforce each other in driving product sales. To explore the underlying
mechanisms behind the complementarities, we find the herding effect is more
salient for experience goods than for search goods, but the effect of Facebook-
mediated WOM does not significantly differ between the two product categories.
TA26
26-Room 403, Marriott
Optimal Sourcing, Procurement Design, and
Eco-label System in Supply Chain Management
Cluster: Operations/Marketing Interface
Invited Session
Chair: Xiang Fang, Associate Professor, University of Wisconsin-
Milwaukee, 3202 N Maryland Avenue, Milwaukee, WI, 53211, United
States of America,
Co-Chair: He Huang, Professor, Chongqing University,
School of Economics and Business Admin., Chongqing, China,
1 - Eco-label System Impact on Market Share and Profit
Yu Xia, Associate Professor, Northeastern University, 214 Hayden
Hall, 360 Huntington Ave, Boston, MA, 02115, United States of
America, Xu Yang, Shilei Yang
This research works on the design of the eco-label and its impact on market share
and profit for the company that adopts the eco-label system. To design an eco-
label system, we need to determine number of levels of labels to structure and the
index standard of each level. The gaps between levels should be significant
enough to promote effort in producing greener product. In addition, reaching a
higher level will bring additional business benefit such as profit for the engaged
manufacturers.
2 - Dynamic Supply Risk Management with Multisourcing,
Discretionary Selling, and Signal-based Forecast
Ting Luo, University of Texas at Dallas, 800 W Campbell Rd,
Richardson, TX, 75080, United States of America,
, Long Gao, Nan Yang, Renyu Zhang
We study a firm’s procurement and selling decisions in a multiclass demand and
multisupplier inventory system. The optimal procurement is driven by
multisourcing and intertemporal substitution and optimal selling is driven by
customer segmentation and intertemporal rationing; they are synchronized with
dynamic forecast for adaptive and resilient risk mitigation. We examine the
critical role of advance supply signals and understand when and how to use them.
3 - Optimal Procurement Design for a National Brand Supplier in the
Presence of Store Brand
Xinyan Cao, PhD Student, University of Wisconsin - Milwaukee,
3202 N Maryland Avenue, Milwaukee, WI, 53202,
United States of America, , Xiang Fang
We consider a supply chain consisting of a national brand supplier and a retailer
which intends to develop its own store brand. We develop a game-theoretic
framework to analyze the strategic interaction between the two players in the
presence of asymmetric information.
4 - Duopolistic Procurement Contracts with Horizontal Information
Asymmetry
Hongyan Xu, Professor, Chongqing University,
School of Econ. and Bus. Administration, Chongqing, China,
, Yu Tang, He Huang
We formulate a Cournot competition model of two chains where suppliers possess
private information of reliability and manufacturers may or may not share cost
information with the opponent. This paper under various scenarios aims to
examine the contract design and the interplay of horizontal information
asymmetry and vertical information asymmetry.
TA27
27-Room 404, Marriott
Application-motivated Theories and Methods for
Multiobjective Optimization
Sponsor: Multiple Criteria Decision Making
Sponsored Session
Chair: Margaret Wiecek, Department of Mathematical Sciences,
Clemson University, Clemson, SC, 29634, United States of America,
1 - Preference Preservation in Inverse Multi-objective
Convex Optimization
Taewoo Lee, University of Toronto, 5 King’s College Road,
Toronto, Canada, , Timothy Chan
We present a new inverse optimization model for convex multi-objective
optimization that accommodates any input solution and determines a nonzero
weight vector that preserves the original preference of the decision maker who
generated the solution. We demonstrate how a linear approximation to the model
and a successive linear programming algorithm can trade-off between preference
preservation and computational efficiency, using data from prostate cancer
radiation therapy.
2 - Biobjective Robust Optimization Problem over the Efficient Set to
Aid Decision Making
Daniel Jornada, Texas A&M University, 1700 Research Pkwy,
280B Schlumberger Bldg, College Station, TX, 77843,
United States of America, , Jorge Leon
We present a biobjective robust optimization formulation for identifying robust
solutions from a given Pareto set arising from a multiobjective program (MOP).
The objective functions consider both solution and model robustness when
decision values are subjected to uncertainty at the time of implementation. The
solution approach is based on facial decomposition. We illustrate the applicability
of the methodology to aid decision making in the area of energy planning.
3 - Spatial Data for Multiobjective Shortest Path Analyses:
Small Decisions with Large Consequences
F. Antonio Medrano, Post Doctoral Researcher, University of
California at Santa Barbara, Santa Barbara, CA, 93106,
United States of America, ,
Richard Church
Multiobjective shortest path analysis is often used for developing alternatives in
the engineering design of new infrastructure over terrain. While such analysis
may appear to be non-subjective, the decisions made in assigning costs from
features and in the connectivity of the raster network will have major impacts on
the number of solutions, their spatial configuration, and their objective values.
We discuss these factors and decisions when using GIS data, and their impacts on
the solution set.
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