2015 Informs Annual Meeting

WC04

INFORMS Philadelphia – 2015

WC04 04-Room 304, Marriott Business Applications I Contributed Session

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. Chair: Gustavo Schwenkler, Assistant Professor, Boston University, Questrom School of Business, 595 Commonwealth Ave, Boston, MA, 02215, United States of America, gas@bu.edu 1 - 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. WC06 06-Room 306, Marriott Financial Institutions Sponsor: Financial Services Sponsored Session

Chair: Ravichandran Narasimhan, Professor, Indian Institute of Management Ahmedabad, Wing- 02 D, Ahmedabad, Gu, 380015, India, nravi@iimahd.ernet.in 1 - 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, 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.in In 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.edu 1 - Understanding Users’ Switching Among Different Kinds of Social Media Xiongfei Cao, USTC, Anhui province, Hefei City, Hefei, China, caoxf312@126.com Investigating 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 United States of America, rgedik@newhaven.edu, Ashlea Milburn, Chase Rainwater, Emre Kirac

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