2015 Informs Annual Meeting

MA55

INFORMS Philadelphia – 2015

MA52 52-Room 107A, CC Designing Services: Marketing and Operations Inter-related Issues II Sponsor: Service Science Sponsored Session Chair: Rohit Verma, Professor, Cornell University, School of Hotel Administration, 338 Statler Hall, Ithaca, NY, 14853-6902, United States of America, rohit.verma@cornell.edu 1 - Investigating Performance Insights: Leveraging Online Text Reviews using Natural Language Processing Hyun Jeong Han, National Research University Higher School of Economics, Moscow, Russia, hhyun@hse.ru, Rohit Verma, Joel Goh, Nagesh Gavirneni, Shawn Mankad In this study, we quantify the relationship between textual content of reviews and financial performances. To achieve our research objectives and to illustrate our methodologies, we partnered with leading hotel review website and hotel-data company to obtain their reviews and performance data on many hotels in Moscow, Russia. 2 - Explore Resource Configuration and Performance Link through Thick and Thin Jie Zhang, Assistant Professor, University of Vermont, 55 Colchester Ave., Burlington, VT, 05401, United States of America, jie.zhang@uvm.edu, Rohit Verma We study the patterns of resource configurations at operating unit level through the peaks and troughs of a business cycle. Using a large panel dataset from the US hotel industry, we identify subgroups of distinct resource configurations and link their resource configuration choices to performance. 3 - Who Wants to Share? Understanding the Participants of the Sharing Economy Rohit Verma, Professor, Cornell University, School of Hotel Administration, 338 Statler Hall, Ithaca, NY, 14853-6902, United States of America, rohit.verma@cornell.edu, Lu Kong, Robert Kwortnik The models of sharing economy include renting, bartering, loaning, gifting, swapping and forms of shared ownership such as cooperative structures. However, the academic cognition of sharing economy is lagging behind the public cognition. Thus, more research questions need to be asked and answered to unveil the essence and potential of sharing economy. In this article, we try to find out who the people participant in sharing economy are and what personality traits they share. MA53 53-Room 107B, CC Behavioral Issues in Coordination and Pricing Sponsor: Behavioral Operations Management Sponsored Session Chair: Elena Katok, Ashbel Smith Professor of Supply Chain Management, University of Texas at Dallas, 800 W. Campbell Rd., Dallas, TX, 75080, United States of America, ekatok@utdallas.edu 1 - An Experimental Investigation of Managing Quality through Deferred Payment Mechanisms Andrew Davis, Cornell University, 401J Sage Hall, Ithaca, NY, 14850, United States of America, adavis@cornell.edu, Kyle Hyndman We conduct an experiment investigating the efficacy of deferred payment mechanisms in inducing high quality products from suppliers. In particular, we explore a setting where a retailer offers a supplier a fixed fee and a bonus, where the bonus constitutes a deferred payment that is only paid out after a review period has passed and the product is deemed high quality. In one set of our treatments, in both one-shot and repeated settings, we observe significantly higher quality and efficiency. 2 - Size Matters: Supplier Coordination with Endogenously-selected Groups James Fan, PhD Student, Pennsylvania State University, 426A Business Building, University Park, PA, 16802, United States of America, juf187@psu.edu, Tony Kwasnica We study the endogenous selection of supplier groups via experimental coordination games. Players first choose between one of two groups, one with an entry fee and one without; they then simultaneously makes a capacity choice. The minimum choice within each group dictates profits for members. The group with an entry fee always observes higher capacity outcomes. This group also has fewer players, suggesting that players recognize the increasing difficulty of coordination in larger groups.

3 - Project Management under Risk-sharing Contracts Sina Shokoohyar, PhD Student, University of Texas at Dallas, 7815 Mccallum Blvd, Apt. 18205, Dallas, TX, 75252, United States of America, sxs137430@utdallas.edu, Elena Katok, Anyan Qi We study coordination between contractors in a project under the risk-sharing contracts where payoff of contractors critically depends on the lowest exerted effort. The lowest possible effort may emerge as a result of the Maxmin strategy. To improve coordination, we propose information feedback policy. We show in theory that the coordination risk can be mitigated with periodic information feedback. We also report experimental data which is in line with our theoretical findings. 4 - A Behavioral Study of Competitive Dynamic Pricing with Fixed Capacities Bahriye Cesaret, PhD Student, The University of Texas at Dallas, 800 W Campbell Rd, Richardson, TX, 75080, United States of America, bahriye.cesaret@utdallas.edu, Elena Katok We consider two firms that offer substitutable capacity to the same customer pool. Customers arrive sequentially to the market and demand exactly one unit of capacity, and price is the main consideration for the purchasing decisions. Each firm quotes a price for its current unit of capacity simultaneously. We use a 2x2 between-subjects design with two levels of arrival uncertainty and two different length of selling horizon. We report on the results of these laboratory experiments. MA54 54-Room 108A, CC A Practical Guide to Ranking and Selection Methods Chair: Dave Goldsman, Professor, Georgia Tech, School of ISyE, Georgia Tech, Atlanta, GA, 30332, United States of America, sman@gatech.edu 1 - Tutorial: A Practical Guide to Ranking and Selection Methods Dave Goldsman, Professor, Georgia Tech, School of ISyE, Georgia Tech, Atlanta, GA, 30332, United States of America, sman@gatech.edu We discuss the branch of statistics known as ranking and selection (R&S), which has garnered significant interest in the operations research literature. We introduce some common R&S terminology and go over a number of archetypal procedures to select (i) that one of a number of normal populations having the largest mean, (ii) the Bernoulli population having the largest success parameter, and (iii) the most-probable multinomial cell. We show how these types of procedures can be used in meaningful applications, particularly involving computer simulation. MA55 55-Room 108B, CC Innovative Uses of DEA Cluster: Data Envelopment Analysis Invited Session Chair: Tim Anderson, Portland State University, 1900 SW 4th Ave, Suite LL-50-02, Portland, OR, United States of America, tim.anderson@pdx.edu 1 - Reexamining Baseball Careers for Possible Drug use with DEA Tim Anderson, Portland State University, 1900 SW 4th Ave, Suite LL-50-02, Portland, OR, United States of America, tim.anderson@pdx.edu, Monica Morawa, John Ruggiero This paper revisits previous work on using DEA to identify potential performance enhancing drug use with an updated DEA model, polynomial regression, and the Malmquist Productivity Index. 2 - Superfood or Not? DEA Makes the Call Thomas Sexton, Professor, Stony Brook University, College of Business, Stony Brook, NY, 11794-3775, United States of America, thomas.sexton@stonybrook.edu, Christine Pitocco The use of the term superfood has grown by a factor of almost 20 over the past 40 years. Yet, there is no operational definition. We use a variable returns to scale, mixed orientation DEA model to evaluate 164 foods that are listed on at least one of 8 published lists of purported superfoods. We use 35 nutrients and find that 145 of the foods are on the efficient frontier. The remaining 19 foods lie below the efficient frontier and cannot be classified as superfoods under this definition. Cluster: Tutorials Invited Session

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