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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.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

Cluster: Tutorials

Invited Session

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.

MA55