INFORMS Nashville – 2016
150
MB07
102B-MCC
New Product Development
Invited: New Product Development
Invited Session
Chair: Jeremy Kovach, TCU, Fort Worth, TX, 76109, United States,
j.j.kovach@tcu.edu1 - An Economic Model Of Knowledge Outsourcing
Jaeseok Lee, Georgia Institute of Technology,
710 Peachtree St. NE, Apt. 312, Atlanta, GA, 30308, United States,
jaeseok.lee@scheller.gatech.edu, Cheryl Gaimon,
Karthik Ramachandran
We introduce a game-theoretic model of knowledge outsourcing. We study how
the interaction between a knowledge buyer and supplier is affected by two
distinctive aspects of knowledge outsourcing: absorptive capacity and the ability
to leverage prior knowledge. We also investigate how uncertainty and
information asymmetry influence the equilibrium outcomes.
2 - Effect Of Incentive Design On Location Decision Of Collaborative
Product Development Teams
Sara Rezaee Vessal, HEC Paris,
sara.rezaee-vessal@hec.eduSvenja C Sommer
To successfully compete on an international scale, multinationals increasingly
turn towards globally dispersed product development teams, both to draw on a
diverse set of expertise and to access moreaccurate local market knowledge.
However, dispersion also creates additional challenges for collaboration, which
can have negative effects on project performance. In this study, we compare
dispersed and co-located teams and address the question how to incentivise them.
We show that despite the current trend among firms, geographically dispersed
teams are not always the optimal structure, especially when collaboration is in the
form of information sharing.
3 - Optimal Price And Customization Of A Conspicuous Product
Cheryl Druehl, George Mason University,
cdruehl@gmu.edu,
Jesse Bockstedt
Technology has reduced the cost of mass customization, while the availability of
design tools has allowed users to easily customize products. The mass
customization of conspicuous goods, where utility rises from displaying the
product to others, allows consumers to create uniqueness and exclusivity. The
firm trades-off the cost vs the demand-enhancing impact of customization.
Customers trade-off the cost to customize vs a good that better fits their
preferences and their desire for exclusivity. The firm considers: How much
customization to have at a given additional marginal cost? What should prices be
for the standard and custom goods? Is a monopolist better off with both product
offerings?
4 - Modeling Product Demand Using Customer Review Data
Hallie Cho, INSEAD,
hallie.cho@insead.edu,Sameer Hasija,
Manuel Sosa
Review sites have become a popular destination for consumers seeking product
information such as general consensus about a product’s quality or tales of other’s
first hand experience with a product. These online reviews suffer from personal
bias, which makes them unreliable for potential buyers. However, this collection
of personal biases can be of interest to manufacturers since reviews often
highlight consumers’ preferences and perceptions of product quality. We explore
in what ways these customer reviews are useful for manufacturers using data
from the U.S. automobile industry.
MB08
103A-MCC
Empirical Research in Operations and
Service Innovation
Invited: Business Model Innovation
Invited Session
Chair: Jose A Guajardo, University of California - Berkeley,
Berkeley, CA, United States,
jguajardo@berkeley.edu1 - Corporate Responsibility Or Greenwashing? An Empirical Analysis
Of The Social Impact Of Corporate Social Responsibility Activities
Jun Li, Ross School of Business, University of Michigan,
junwli@umich.edu, Andrew Wu
Corporate Social Responsibility (CSR) activities have been increasingly criticized
by the public as greenwashing as they fail to deliver the intended social impacts.
While most existing research on CSR focus on its link to profitability, little
research studies the social impact of CSR. In this paper, we leverage a large-scale
dataset collected during the last 9 years to examine the social impact of CSR
efforts worldwide, and how voluntary vs. mandatary CSR reporting impacts the
effectiveness of CSR.
2 - Surfacing The Submerged State: Operational Transparency
Increases Trust In And Engagement With Government Services
Ryan Buell, Harvard Business School,
rbuell@hbs.eduEthan Porter, Michael Norton
As Americans’ trust in government nears historic lows, frustration with
government performance approaches record highs. We propose that Americans’
views of government can be reshaped by increasing government’s operational
transparency - that is, the extent to which citizens can see the often-hidden work
that government performs. Across three studies using laboratory and field data,
we provide converging evidence that increasing operational transparency can
improve citizens’ views of and increase and sustain their engagement with
government.
3 - Mobile Technology In Retail
Jose A Guajardo, University of California-Berkeley,
jguajardo@berkeley.eduWe empirically analyze central aspects of the impact of mobile technology in retail
in the context of the overall customer shopping experience.
4 - Ration Gaming And The Bullwhip Effect: A Structural
Econometric Study
Rob Bray, Kellogg,
robertlbray@gmail.comWe develop a dynamic discrete choice estimator of (s, S) inventory models. We
apply this estimator to a 5,320-SKU, 1,371-day sample from a Chinese
supermarket to quantify the effect of ration gaming.
MB09
103B-MCC
Development of Electricity Systems
Invited: Energy Systems Management
Invited Session
Chair: Todd Levin, Argonne National Laboratory, 970 S. Cass Avenue,
Lemont, IL, 60439, United States,
tlevin@anl.gov1 - Capacity Expansion Planning With Intermittent Energy Resources
Dong Gu Choi, Pohang University of Science and Technology
(POSTECH), Pohang, Korea, Republic of,
dgchoi@postech.ac.kr,
Daiki Min, Jonghyun Ryu
Recently, renewable energy resources have been rapidly integrated into the
electricity sector around the world and some recent studies about the capacity
expansion planning for electric power system integrating renewable energies have
been published. However, the most of these studies did not explicitly interpret the
impact of the intermittency and non-dispatchability of some renewable energies
on the system reliability. In this study, we propose a stochastic programming
model to establish the long-term electricity capacity expansion planning for an
electric power system integrating large size intermittent renewable energies with
the consideration of the system reliability.
2 - Optimal Capacity Planning In Non-Interconnected Regions:
Case Of Saudi Arabia
Bandar Alqahtani, Duke University, 9 Circuit drive, Box 90328,
Durham, NC, 27514, United States,
dalia.patino@duke.edu,
Dalia Patino Echeverri
We conduct a techno-economic and environmental evaluation of the electricity
generation options available to supply residential and commercial loads in remote
areas in Saudi Arabia, over the next 25 years. A capacity planning model
considers and compares the alternatives of developing distributed electricity
generation versus the option of building a transmission interconnection to the
national grid, operated by the Saudi Electricity Company.
3 - Examining Life Cycle Environmental Impacts Of Energy Storage
For Power System Reserves
Jeremiah Johnson, University of Michigan, Ann Arbor, MI, United
States,
jxjohns@umich.edu,Yashen Lin, Noah Mitchell-Ward,
Johanna Mathieu
Due to their speed of response and accuracy, energy storage systems may be a
preferable alternative to conventional generation in providing power system
reserves. We calculate the environmental impacts using lithium ion batteries for
this ancillary service application using a life cycle assessment (LCA) framework,
while solving an optimal power flow (OPF) problem under a series of grid
configurations. Through this OPF-LCA integration, we demonstrate that (1) the
impacts of materials and manufacturing are typically far smaller than use phase
impacts and (2) there are many system configurations that yield a net increase in
life cycle emissions when using energy storage for power system reserves.
MB07