Informs 2015

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INFORMS Philadelphia – 2015
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2 - An Analytical Framework for Value Co-Production in Services
Guillaume Roels, Associate Professor, UCLA, 110 Westwood
Plaza, Los Angeles, CA, 90095, United States of America,
Uday Karmarkar
Although services are often defined as co-productive of value, the concept of
value is often difficult to measure. Yet, measuring value is not necessarily a
prerequisite for service process improvement. In this paper, we propose a general
framework for the modeling and analysis of services with co-production. The
framework identifies three major process stages: (i) the production stage, which
involves co-production, (ii) the output sharing stage, and (iii) the consumption
stage.
MB53
53-Room 107B, CC
Social Media, Sales and Pricing
Sponsor: Behavioral Operations Management
Sponsored Session
Chair: Wedad Elmaghraby, Associate Professor, University of
Maryland, 4311 Van Munching Hall, College Park, MD, 20742,
United States of America,
1 - Scarcity Strategies under Quasi-Bayesian Social Learning
Nitin Bakshi, London Business School, Regent’s Park, London,
United Kingdom, , Yiangos Papanastasiou,
Nicos Savva
The introduction of popular experiential products is often accompanied by
temporary stock outs. This paper proposes a mechanism based on an empirically-
motivated behavioural model of social learning. We show that such strategies
may be beneficial for the firm and may also increase consumer surplus.
2 - Integrating Social Media Metrics
Wendy Moe, University of Maryland, 3469 Van Munching Hall,
College Park, MD, United States of America,
David Schweidel
The primary goal of this paper is to offer a modeling approach that integrates
multiple social media metrics. We do this by jointly modeling the number of
mentions, the number of co-mentions and expressed sentiment across brands in
a given market as a function of a latent map that represents the underlying
competitive landscape in the industry. We demonstrate how a brand can use this
model to establish benchmark metrics and calculate a measure of differentiation.
3 - Optimizing Donation Campaigns with Social Media
Shawn Mankad, Assistant Prof Of Business Analytics, University
of Maryland, 4316 Van Munching Hall, College Park, MD, 21201,
United States of America, William Rand,
Chen Wang
The rising popularity of social media has resulted in organizations of all types
attempting to use the social streams to inform managerial decisions. However,
using social media data can be challenging due to its varied and dynamic nature.
In this work, we discuss show donations to a major nonprofit organization can be
substantially increased by integrating Twitter usage around crisis events to
determine the timing and targeting of marketing communications.
MB54
54-Room 108A, CC
Markov Decision Processes
Cluster: Tutorials
Invited Session
Chair: Andrew J. Schaefer, University of Pittsburgh, 3700 O’Hara
Street, Benedum Hall 1048, Pittsburgh, PA, 15261-3048,
United States of America,
1 - Tutorial: Markov Decision Processes in Healthcare
Andrew J. Schaefer, University of Pittsburgh, 3700 O’Hara Street,
Benedum Hall 1048, Pittsburgh, PA, 15261-3048,
United States of America,
The last decade has seen a large number of Markov decision processes (MDPs)
applied to various healthcare settings. In this tutorial we review some of the
healthcare decisions for which MDPs may be appropriate. We discuss some of the
unique challenges that arise in healthcare modeling. Finally, we discuss future
directions for MDPs in healthcare.
MB55
55-Room 108B, CC
Applications of DEA II
Cluster: Data Envelopment Analysis
Invited Session
Chair: Alan Pritchard, University of Maryland, Robert H. Smith Scholl
of Business, Van Munching Hall, College Park, MD, 20742, United
States of America,
1 - Nurse Staffing Performance Evaluation: Data Envelopment
Analysis vs. Expert Assessment
Fan Tseng, University of Alabama in Huntsville, Dept of Mgt,
Mkt, & IS, Huntsville, AL, 35899, United States of America,
Karen Frith, Faye Anderson, Patricia Patrician
When using Data Envelopment Analysis (DEA) to evaluate the efficiency of nurse
staffing, the results are greatly influenced by the selection of input and output
metrics. To evaluate different DEA models for their usefulness, we enlisted
experts in nurse administration to evaluate the performance of nursing units
using data from multiple hospitals. We compare the results between experts and
the models, and discuss the issues in DEA modeling for evaluating nurse staffing
performance.
2 - It Productivity Paradox: A New Frameworks Integrating
Configuration Theory and Dynamic DEA
Liu Jiawen, PhD, Huazhong University of Science and
Technology, 1037 Luoyu Road, Wuhan, 430074, China,
Yeming Gong
While some research argues that information technology (IT) can improve
organizational productivity, others maintains that the impact of IT may be
negative. This paper advances a new perspective based on data envelopment
analysis (DEA) to investigate the IT productivity paradox. We propose a new
theoretical framework based on dynamic two—stage network DEA models,
considering multiple periods, multiple inputs and multiple outputs, to study and
understand IT productivity paradox.
3 - An Oligopolistic Emissions Trading System with
Uncertain Demand
Alireza Tajbakhsh, PhD Candidate, DeGroote School of Business,
McMaster University, 1280 Main St. W, Hamilton, ON, L8S 4L8,
Canada, , Elkafi Hassini
We propose a static Cournot oligopoly game to investigate a perfectly competitive
market in which supply chains compete in a non-cooperative manner in their
product markets. Partners of each supply chain engage in a cooperative triopoly
game where initial permit allocations of the pollutants are given on the basis of
their sustainability performance that is derived from a data envelopment analysis
model.
4 - Product Variety and Productivity: Evidence from the North
American Beverage Industry
Alan Pritchard, University of Maryland, Robert H. Smith School
of Business, Van Munching Hall, College Park, MD, 20742,
United States of America, , Martin
Dresner, Xiang Wan
Using data taken directly from a major North American soft drink beverage
bottler and distributor, we examine distribution center (DC) productivity. First,
we employ data envelopment analysis (DEA) and a double bootstrapping
procedure to estimate the relative efficiency of 108 DCs over a four year period
(2008-2011). Then, we use a Tobit regression model to investigate the factors that
influence DC productivity – that is, unexplained variation in efficiency, over time.
MB56
56-Room 109A, CC
Recent Advances in Location Analysis
Sponsor: Location Analysis
Sponsored Session
Chair: Sibel Alumur, University of Waterloo, 200 University Avenue
West, Waterloo, ON, N2L 3G1, Canada,
1 - Green Charging Station Location Problem
Okan Arslan, Bilkent University, Department of Industrial
Engineering, Ankara, Turkey, ,
Oya E. Karasan
We deal with ‘charging station location problem’ as a variant of ‘flow refueling
location problem’ (FRLM) by additionally considering the hybrid vehicles such as
PHEVs. The objective is to maximize the environmental benefits through
maximizing electricity usage in transportation. To solve the problem, we propose
an arc-cover model, and apply Benders decomposition. The structure of this
formulation allows us to construct Pareto-optimal cuts without having to solve
any linear programming problems.
MB53