INFORMS Philadelphia – 2015
163
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.edu1 - 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.edu1 - 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
Cluster: Tutorials
Invited Session
Chair: Dave Goldsman, Professor, Georgia Tech, School of ISyE, Georgia
Tech, Atlanta, GA, 30332, United States of America,
sman@gatech.edu1 - 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.eduWe 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.edu1 - 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.
MA55