INFORMS Philadelphia – 2015
428
WC04
04-Room 304, Marriott
Business Applications I
Contributed Session
Chair: Ravichandran Narasimhan, Professor, Indian Institute of
Management Ahmedabad, Wing- 02 D, Ahmedabad, Gu, 380015,
India,
nravi@iimahd.ernet.in1 - Mobile Technology and Emergency Response
Hongwei Du, Professor, California State University, 25800 Carlos
Bee Blvd, Hayward, CA, 94542, United States of America,
hongwei.du@csueastbay.edu,Jiming Wu
Emergency situations happen every day that requires response. We explore how
mobile technology can be part of an effective strategy to manage emergency
situations and the risks posed by natural hazards. This is achieved through mobile
applications and technology on an individual and community level by taking
advantage of the portability, ease of use, and popularity/prevalence of
smartphones and tablets. The role of mobile technology in crises is critically
explored in three cases studies.
2 - The Information Societies of India and China: Multivariate and
Geospatial Comparison
Avijit Sarkar, Associate Profesor, University of Redlands, 1200 E.
Colton Avenue, Redlands, CA, 92373, United States of America,
avijit_sarkar@redlands.edu, James Pick
We present comparative analysis of the information societies of the provinces of
China and the states of India. The digital divide in both nations is analyzed and
contrasted using multivariate and geostatistical methods. The roles of social capital
and societal openness in fostering technology adoption and diffusion are
discussed. Policy recommendations are presented and implications contextualized
in relation to findings on telecommunications landscape in both countries.
3 - A Constraint Programming Approach for the Team Orienteering
Problem with Time Windows
Ridvan Gedik, Assistant Professor, University of New Haven,
300 Boston Post Rd, West Haven, CT, 06516,
United States of America,
rgedik@newhaven.edu,
Ashlea Milburn, Chase Rainwater, Emre Kirac
We discuss how to formulate and solve the NP-hard team orienteering problem
with time windows (TOPTW) in constraint programming (CP) context by using
interval variables, global constraints and domain filtering algorithms. The
proposed CP model with a customized branching strategy obtains three new best
solutions and proves the optimality of the three best-known solutions for the
benchmark problem instances.
4 - A Canonical Model to Support the Mid Day Meal Supply Chain
Ravichandran Narasimhan, Professor, Indian Institute of
Management Ahmedabad, Wing- 02 D, Ahmedabad, Gu, 380015,
India,
nravi@iimahd.ernet.inIn the indian context providing Mid day meal at the primary and secondary
schools is increases the enrolment and attendance. Several states having varying
degree of success in implementing this. Based on the ground realities we propose
a simple model to implement this scheme and discuss the implication to manage
it.
WC05
05-Room 305, Marriott
Capitalizing on Social Media
Cluster: Social Media Analytics
Invited Session
Chair: Chris Smith, TRAC-MTRY, 28 Lupin Lane, Carmel Valley, CA,
93924, United States of America,
cmsmith1@nps.edu1 - Understanding Users’ Switching Among Different Kinds of
Social Media
Xiongfei Cao, USTC, Anhui province, Hefei City, Hefei, China,
caoxf312@126.comInvestigating users’ switching between different kinds of social media is important
because it is closely related to the survival of technologies. Based on the
push–pull–mooring framework, this study investigates social media users’
switching behavior and mechanism. The research contents include: identify the
factors affecting users’ switching among different kinds of social media; elaborate
the mechanism of users’ switching decision.
2 - A Hawkes Process Based Dynamic Trip Attraction Model using
Open Location Based Social Network Data
Wangsu Hu, Rutgers, the State University of New Jersey, CoRE
736, 96 Frelinghuysen Road, Piscataway, NJ, 08854,
United States of America,
nicholas.hu@rutgers.edu, Peter J. Jin
Location based social network (LBSN) services, such as Foursquare and Geo-
tagged Twitter, allow users to “check in” to their arriving places of interests. In the
proposed research, the public Foursquare check-in data published on Twitter are
used. A Hawkes process based model is proposed to formulate both the actual trip
arrival and LBSN checkins through a dynamic sensing and activity state transition
model. The model is validated with planning data from the City of Austin Texas.
3 - Social Media and the ISIL Narrative
Rob Schroeder, Naval Postgraduate School, 526 Union St.,
Monterey, CA, 93940, United States of America,
rcschroe@nps.edu, Sean Everton, Daniel Cunningham
The Islamic State of Iraq and Syria (ISIS) has attracted the world’s attention and
much of its wrath, primarily because of its rapid expansion in Iraq and Syria, its
brutal treatment of religious minorities, and its beheadings of hostages from
Western countries. At this point, it is unclear whether the group represents a
global or a sectarian form of jihadism. Is it similar to al-Qaeda, which seeks to
target the far enemy, or is it more sectarian in that it focuses on targeting what it
perceives to be the near enemies of Islam? In this paper we address this debate by
examining ISIS’s online presence on the social media platform, Twitter, which
serves as a forum for supporters to post and receive messages, images, videos, and
links to websites to and from a wide-audience. The speed at which users can
transmit and receive information via Twitter suggests that an analysis of ISIS-
related user accounts and the key themes and concepts they disseminate can
contribute to a better understanding of the group’s overall narrative. We examine
ISIS’s online presence by extracting from Twitter the semantic networks of its
most influential users. We find that a shift may be occurring in the ISIS narrative,
from one that focuses on the near enemy to one that focuses on the far enemy.
Ironically, this shift may have resulted from the actions of the U.S. and its
Western allies.
WC06
06-Room 306, Marriott
Financial Institutions
Sponsor: Financial Services
Sponsored Session
Chair: Gustavo Schwenkler, Assistant Professor, Boston University,
Questrom School of Business, 595 Commonwealth Ave, Boston, MA,
02215, United States of America,
gas@bu.edu1 - Asset Management Contracts and Equilibrium Prices
Andrea Buffa, Boston University, Questrom School of Business,
Boston, United States of America,
buffa@bu.edu,
Dimitri Vayanos, Paul Woolley
We study the joint determination of fund managers’ contracts and asset prices.
Because of agency frictions, investors make managers’ fees more sensitive to
performance and benchmark performance against a market index. This
exacerbates price distortions and raises the volatility of overvalued assets. Because
trading against overvaluation is riskier than trading against undervaluation,
agency frictions bias the aggregate market upwards, and can generate a negative
risk-return relationship.
2 - Matching Capital and Labor
Jules Van Binsbergen, University of Pennsylvania,
The Wharton School, Philadelphia, United States of America,
julesv@wharton.upenn.edu, Jonathan Berk, Binying Liu
We establish an important role for firms by studying capital reallocation decisions
of mutual fund firms. At least 30% of the value mutual fund managers add can
be attributed to the firm’s role in efficiently allocating capital amongst its fund
managers. We find no evidence of a similar effect when a firm hires managers
from another firm. We conclude that an important reason why firms exist is the
private information that derives from the firm’s ability to assess the skill of its
employees.
3 - The Systemic Effects of Benchmarking
Gustavo Schwenkler, Assistant Professor, Boston University,
Questrom School of Business, 595 Commonwealth Ave, Boston,
MA, 02215, United States of America,
gas@bu.edu,Diogo Duarte,
Keith Lee
We show that pressure to beat a benchmark may induce institutional trading
behavior that exposes retail investors to tail risk. In our model, institutions are
different from a retail investor because they derive higher utility when their
benchmark outperforms. This forces institutions to take on leverage to overinvest
in the benchmark. Institutions execute fire sales when the benchmark
experiences shocks. This behavior increases volatility, raising the tail risk exposure
of the retail investor.
WC04