2015 Informs Annual Meeting

SC51

INFORMS Philadelphia – 2015

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. 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.edu Co-Chair: Karan Girotra, Associate Professor, INSEAD, Boulevard de Constance, Fontainebleau, 77300, France, Karan.GIROTRA@insead.edu Co-Chair: Sameer Hasija, Assistant Professor, INSEAD, 1 Ayer Rajah Avenue, Grange Heights, Singapore, Singapore, Sameer.Hasija@insead.edu 1 - 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. SC51 51-Room 106B, CC

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 TV’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.com Social 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. SC53 53-Room 107B, CC Bounded Rationality, Social Preferences, and Risk Science to Rejuvenate the TV Experience Venu Vasudevan, Senior Director, Arris, Venu.Vasudevan@arris.com Chair: Kay-Yut Chen, Professor, University of Texas Arlington, 701 West Street, Arlington, United States of America, kychen@uta.edu 1 - 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. Management in Behavioral Operations Sponsor: Behavioral Operations Management Sponsored Session

SC52 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.edu 1 - 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.

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