2015 Informs Annual Meeting

TA25

INFORMS Philadelphia – 2015

TA25 25-Room 402, Marriott Online Information Intermediaries Sponsor: Information Systems Sponsored Session

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, ting.luo@utdallas.edu, 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, xinyan@uwm.edu, 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, xuhongyan@cqu.edu.cn, 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, wmalgor@clemson.edu 1 - Preference Preservation in Inverse Multi-objective Convex Optimization Taewoo Lee, University of Toronto, 5 King’s College Road, Toronto, Canada, taewoo.lee@mail.utoronto.ca, 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, 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 280B Schlumberger Bldg, College Station, TX, 77843, United States of America, djornada@tamu.edu, Jorge Leon

Chair: Animesh Animesh, Associate Professor, McGill University, 1001 Rue Sherbrooke Ouest, Montreal, QC, h3a1g5, Canada, animesh.animesh@mcgill.ca 1 - First-mover Advantage in Online Review Platform Qianran Jin, McGill University, 1001 Sherbrooke Street West, Montreal, Canada, qianran.jin@mail.mcgill.ca, 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, lei.xu2@mail.mcgill.ca, 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, wduan@gwu.edu, 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, lix@hec.fr, 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 Groupon.com, 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. 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, fangx@uwm.edu Co-Chair: He Huang, Professor, Chongqing University, School of Economics and Business Admin., Chongqing, China, huanghe@cqu.edu.cn 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, Y.Xia@neu.edu, 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. TA26 26-Room 403, Marriott

California at Santa Barbara, Santa Barbara, CA, 93106, United States of America, medrano@geog.ucsb.edu, 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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