Informs 2015

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INFORMS Philadelphia – 2015
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3 - Driver Scheduling Optimization Method Proposal for the J.B. Hunt
Intermodal Division
Luisa Janer, Graduate Student, University of Arkansas, 759 S
Royal Oak Pkwy #201, Fayetteville, AR, 72701, United States of
America, , Valeria A. Remon Perez,
Nicole Taborga Delius, Nakia Lynn Lee
A scheduling tool based on optimization was developed in order to improve the
driver and truck scheduling process of the J.B. Hunt Intermodal Division. After
having developed six prototypes of an optimization model, the tool manages to
effectively lower the outsourcing percentage to ten percent and increases the
driver-truck ratio to 1.8.
TA04
04-Room 304, Marriott
Panel Discussion: Journal Publication Tips
Sponsor: Junior Faculty Interest Group
Sponsored Session
Chair: Cameron MacKenzie, Assistant Professor, Iowa State University,
3004 Black Engineering, Ames, IA, 50011, United States of America,
1 - Panel Discussion: Successful Journal Publication Tips
Moderator: Cameron MacKenzie, Assistant Professor, Iowa State
University, 3004 Black Engineering, Ames, IA, 50011, United
States of America, , Panelists: Chris Tang,
Martin Savelsbergh, Serguei Netessine, Stefanos Zenios,
Jay Simon
Panel discussion will include editors and associate editors from Management
Science, Operations Research, Decision Analysis, Manufacturing & Service
Operations Management, and Transportation Science.
TA05
05-Room 305, Marriott
Social Media and Networks in Business
Cluster: Social Media Analytics
Invited Session
Chair: Xiaojing Dong, Associate Professor, Santa Clara University, 500
El Camino Real, Lucas Hall, Marketing, Santa Clara, CA, 95053, United
States of America,
1 - Predicting Social Influence Based on Dynamic
Network Structures
Mandy Hu, Assistant Professor, The Chinese University of Hong
Kong, CUHK Business School, Marketing, Shatin, Hong Kong -
PRC,
This study examines how network structure and dynamics interplay with the
effect of social influence to facilitate diffusion. The context we consider is the
diffusion of a new smartphone from a major wireless carrier in two medium-sized
cities in China. We are able to identify the two most significant network measures
related to social influence are diversity of connection and time variation of edge
numbers. Our findings provide foundation on the network-based targeting
strategy.
2 - Matrix Metrics: Network-based Systemic Risk Scoring
Sanjiv Das, William And Janice Terry Professor Of Finance, Santa
Clara University, Leavey School of Business, 500 El Camino Real,
Santa Clara, CA, 95053, United States of America,
I develop a network-based systemic risk score that depends on individual risk at
each financial institution and interconnectedness across institutions. This risk
metric is decomposable into risk contributions from each entity, forming a basis
for taxing each entity appropriately. Spillover risk determines the scale of
externalities that one institution might impose on the system. Splitting up too-
big-to-fail banks from the system does not lower systemic risk.
3 - Motivation of User-Generated Content in a Social Network
Xiaojing Dong, Associate Professor, Santa Clara University, 500 El
Camino Real, Lucas Hall, Marketing, Santa Clara, CA, 95053,
United States of America,
This study focuses on understanding the motivation of user-generated content in
open-source environments and online social networks. In our data, to encourage
members to contribute more reviews on the site, the community introduced cash
payment to those who offered reviews. We the find the effect of such reward
actually depends on the level of social connectedness. Those with fewer
connections responded positively to the reward, and those with more connections
responded negatively.
4 - Within and Cross-channel Effects of Brand Advertising
on Word-of-Mouth
Linli Xu, Carlson School of Management, University of
Minnesota, 321 19th Ave S, Suite 3-150, Minneapolis, MN,
United States of America, , Mitchell Lovett,
Renana Peres
The central theme of this paper is to examine the relationship between
advertising and WOM. We study the influence of advertising on word-of-mouth
within channel and across channels. Preliminary evidence suggests significant
relationships both within and cross-channels. For example, both TV and Internet
display advertising appear to be significantly related to offline word-of-mouth
with TV having a stronger direct effect than Internet, whereas Internet advertising
is stronger online than TV.
5 - Mobile Big Data Analytics
Xueming Luo, Temple Univ, 1801 Liacouras, Philadelphia, PA,
19076, United States of America,
Over 3.6 billion people worldwide are deeply engaged with smartphone devices.
This reach potential proffers unprecedented marketing opportunity. As marketers
can send ads to smartphone users anywhere they are, marketing discipline now
faces tremendous opportunities of coming up with new theory and industry
practices for manager and consumer insights. Xueming will present some recent
research findings from his Global center for big data in mobile analytics.
TA06
06-Room 306, Marriott
Systemic Risk
Sponsor: Financial Services
Sponsored Session
Chair: Stathis Tompaidis, Professor, University of Texas at Austin, Office
of Financial Research, Austin, TX, 78712, United States of America,
1 - Gauging form PF: Data Tolerances in Regulatory Reporting on
Hedge Fund Risk Exposures
Phillip Monin, Researcher, Office of Financial Research, 717 14th
St. NW, Washington, DC, 20005, United States of America,
Mark Flood, Lina Bandyopadhyay
We examine the precision of Form PF as an instrument for measuring risk
exposures in the hedge fund industry. Using a novel simulation methodology, we
assess the measurement tolerances of Form PF by examining the distribution of
actual portfolio risk exposures that are consistent with a fixed presentation on
Form PF. We find that Form PF’s measurement tolerances are sufficiently large to
allow private funds with dissimilar actual risk profiles to report similar risks to
regulators.
2 - Systemic Risk: The Dynamics under Central Clearing
Agostino Capponi, Columbia, Mudd 313, New York, NY, 10027,
United States of America,
We develop a tractable model for asset value processes of financial institutions
trading with one central clearinghouse. Each institution allocates assets between
his loan book and his clearinghouse account. We show that a unique equilibrium
allocation profile arises when institutions adjust trading positions to hedge risks
stemming from their loan books. The stochastic dynamic equilibrium path shows
a buildup of systemic risk manifested through the increase of market
concentration.
3 - Hidden Illiquidity with Multiple Central Counterparties
Kai Yuan, Columbia Business School, 3022 Broadway, 4J,
Uris Hall, New York, United States of America,
, Paul Glasserman,
Ciamac Moallemi
Convex margin requirements from CCPs create an incentive for a swaps dealer to
split its positions across multiple CCPs, effectively “hiding” potential liquidation
costs. To compensate, each CCP needs to set higher margin requirements than it
would in isolation. In the case of linear price impact, we show that a necessary
and sufficient condition for the existence of an equilibrium is that the two CCPs
agree on liquidity costs and a difference in views can lead to a race to the bottom.
TA06