INFORMS Philadelphia – 2015
110
2 - Win-win Capacity Reservation Contracts in Co-manufacturing and
Co-distribution Alliances
Guillaume Roels, Associate Professor, UCLA, 110 Westwood
Plaza, Los Angeles, CA, 90095, United States of America,
guillaume.roels@anderson.ucla.edu,Chris Tang
In some strategic alliances, a firm shares its manufacturing capacity with another,
and the latter shares its distribution capacity with the former. Even though such
bidirectional alliances have become common, they remain challenging to manage
due to the frequent disputes over capacity allocation when demand is uncertain.
In this talk, we investigate whether there exists a contractual mechanism that can
mitigate the extent of these disputes while improving the profits of all
participating firms.
3 - Optimal Allocation Rules with Waste Considerations
Sara Rezaee Vessal, HEC Paris, 1 Rue de la Liberation, Jouy en
Josas, 78350, France,
sara.rezaee-vessal@hec.edu,Sam Aflaki,
Dimitrios Andritsos
We study capacity allocation of a scarce and perishable product among stock-out-
averse retailers that face stochastic demand. We focus on two commonly practiced
allocation mechanisms and—-using a dynamic model—-characterize the
conditions under which each allocation mechanism performs superior from a
waste and profit point of view.
4 - Using Transparency to Manage the Sourcing of Complex Non-
routinized Services
Jacob Chestnut, PhD Candidate, Ross School of Business,
University of Michigan, 701 Tappan Avenue, Ann Arbor, MI,
48109, United States of America,
jacobpc@umich.edu,
Damian Beil
Complex services such as non-routine litigation are often billed on an hourly
basis, creating opportunities for the service provider (e.g., outside counsel) to
drive up costs for the buyer (e.g., in-house counsel) through the inefficient use of
time and resources (e.g., partner versus associate level work). The buyer can
manage these costs with greater front-end transparency, about the work to be
performed; however this transparency comes at a cost. We study this tradeoff.
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51-Room 106B, CC
MSOM Student Paper Competition Finalists - I
Sponsor: Manufacturing & Service Operations Management
Sponsored Session
Chair: Goker Aydin, Indiana University, 1309 East Tenth Street,
Bloomington, IN, 47405, United States of America,
ayding@indiana.eduCo-Chair: Karan Girotra, Associate Professor, INSEAD, Boulevard de
Constance, Fontainebleau, 77300, France,
Karan.GIROTRA@insead.eduCo-Chair: Sameer Hasija, Assistant Professor, INSEAD, 1 Ayer Rajah
Avenue, Grange Heights, Singapore, Singapore,
Sameer.Hasija@insead.edu1 - MSOM Student Paper Competition Finalists Sessions
INFORMS 2015
The MSOM Student Paper Competition is awarded annually by
the Manufacturing & Service Operations Management Society at
the INFORMS Annual Meeting for papers judged to be the best in
the field of operations management.
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52-Room 107A, CC
Social Network Analysis
Sponsor: Service Science
Sponsored Session
Chair: Dr. Joanna F. Defranco, Assistant Professor Of Software
Engineering, The Pennsylvania State University, 30 East Swedesford
Road, Malvern, PA, United States of America,
jfd104@psu.edu1 - Social Network Dynamics in Software Development Teams
Adrian Barb, The Pennsylvania State University,
asb16@psu.edu,Dr. Joanna F. Defranco
We present a social network analysis of the communication of 112 developers in
seven software development teams distributed around the world. The project was
conducted between October 2005 and October 2006 and includes
communications among team members with different roles varying from architect
to integrator over six development iterations. A social network analysis was
performed to evaluate the progression of communication over this period during
a collaborative software development project.
2 - Exploring Networks of Faculty Paper Co-authorship
Regina Collins, New Jersey Institute of Technology,
regina.s.collins@njit.edu,Nancy Steffen-fluhr
This research, funded by an NSF Advance grant, examined the hypothesis that
women STEM faculty suffer low retention rates due to their relative isolation
within the social and informational networks of their organizations. To test this, a
network based on co-authorship of scholarly papers was created and analyzed
from a social network perspective, examining network attributes including female
faculty’s centrality in these networks.
3 - Reconciling Infinite Choice and Zero Effort: Applying Data
Science to Rejuvenate the TV Experience
Venu Vasudevan, Senior Director, Arris,
Venu.Vasudevan@arris.comTV’s long reign has been driven by its ability to be both simple and entertaining.
Yet the proliferation of web technologies has ushered a ‘viewers choice’ era -
where viewers seek more control over the TV experience (when/where/for how
long/). This talk is about the use of data science to address TV’s next challenge -
that of finding the right balance of simplicity and richness (both from viewer and
advertiser point of view).
4 - Social Discovery Builds the Social Network
Richard Friedman, Cto Meetme, MeetMe, 518 Kings Dr,
Cherry Hill, NJ, 08003, United States of America,
richfriedman@gmail.comSocial Networking is the broadest of terms representing any online service that
facilitates some form of communication between a network of friends, colleagues,
and personal contacts. Social Discovery, on the other hand, can be defined as the
creation of the social network. It is the discovery of people through content and
conversation that leads to building a network related to a topic or a purpose. We
will cover from discovery, interest, conversation, connection, network, and
platform.
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53-Room 107B, CC
Bounded Rationality, Social Preferences, and Risk
Management in Behavioral Operations
Sponsor: Behavioral Operations Management
Sponsored Session
Chair: Kay-Yut Chen, Professor, University of Texas Arlington, 701
West Street, Arlington, United States of America,
kychen@uta.edu1 - The Behavioral Traps of Making Multiple, Simultaneous,
Newsvendor Decisions: An Experimental Study
Shan Li, Assistant Professor, Zicklin School of Business, Baruch
College, City University of New York, 55 Lexington Ave,
New York, NY 10010, United States of America,
Shan.Li@baruch.cuny.edu, Kay-Yut Chen
We conducted an experimental study to compare behaviors of newsvendors who
manage one versus two independent stores. We find that ordering decisions are
closer to optimal quantities in one-store treatment. More interestingly, we
discover a significant correlation between order quantities of individuals only in
the two-store setting. We propose the concept of decision segmentation
reinforcement and develop a behavior model to capture multiple interacting
simultaneous decisions.
2 - Process-driven Discussion in Team-based Decision Making for
Operational Risk Management
Karen Zheng, MIT, 77 Massachusetts Avenue, Cambridge, MA,
02139, United States of America,
yanchong@mit.edu,Retsef Levi,
Shujing Wang
We experimentally study how different group discussion processes affect the
outcome of team-based decision making in a risk management context. Members
in each team in the experiment are provided private information about the status
of the risk. The team will make the optimal decision only if all private information
is shared. We manipulate the structure of discussion among team members to
study how it affects information sharing within the team.
3 - Pay-it-forward: Theory, Experiments, and Managerial Implications
Narayanan Janakiraman, Asst Professor, University of Texas at
Arlington, 701 S. West Street, Arlington, 76019, United States of
America,
janakira@uta.edu,Zhiyong Yang, Kay-Yut Chen
We study the pay-it-forward (PIF) phenomenon, where a person who received a
stranger’s kindness would act similarly kind to a future stranger. Using lab
experiments, we find that the recipient’s PIF likelihood depends on firms’ pricing
strategies, expectation of further PIF from the receiver, and social distances
between the giver and the receiver. We explain the findings in a behavioral
model, and develop a price optimization framework to enhance firms’ profitability
in this context.
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