2016 INFORMS Annual Meeting Program

MD52

INFORMS Nashville – 2016

3 - Communication And Conflict: Analyzing Homophily On Social Media During Conflict Sean Everton, Associate Professor, Naval Postgraduate School, Monterey, CA, 93943, United States, sfeverto@nps.edu, Robert Schroeder Social media is used as a way to spread news-related messages. Research suggests that such messages tend to be transmitted between like-minded individuals. This paper examines whether during the conflict in Ukraine Twitter users shared messages primarily with similar users, thereby (possibly) contributing to the fragmentation of Ukrainian society, or with a heterophilous cross-section of users, thereby (possibly) contributing to societal cohesion. 4 - Determinants Of Social Media Privacy Protection Behaviors Shalini Wunnava, Assistant Professor, State University of New York at Potsdam, 44 Pierrepont Avenue, Potsdam, NY, 13676, United States, wunnavss@potsdam.edu Despite the growing availability of tools and options to ensure greater privacy on social media, not many people seem to actually utilize and benefit from them. Why? This research question will be examined under the lens of the Protection Motivation Theory (PMT). The goal of this project is to draw upon previous research on information privacy and PMT in order to develop a research model that could potentially identify and explain the determinants/motivators of privacy protection behaviors on social media. 211-MCC Social Media User Behavior Invited: Social Media Analytics Invited Session Chair: Donghyun Kim, Delta State University, Cleveland, MS, 11111, United States, dkim@deltastate.edu 1 - Social Relativeness Eyad Youssef, Delta State University, eyoussef@deltastate.edu This research seeks to gain a better understanding of how the social connectedness of a community can influence and affect health outcomes. Social connectedness can be defined as the structure for which social support is provided. The goal is to understand how individuals interact within their communities and how that interaction can play a role, either directly or indirectly, affecting their health outcomes. 2 - Social Media Analytics Using IBM SPSS Modeler’s Text Analytics Lakisha Simmons, Belmont University, lakisha.simmons@belmont.edu, Sumali Conlon, Chris Simmons IBM SPSS Modeler empowers marketers to import data from multiple sources for fast decision making. For example, merge data from a sales database and text from a social media account to make predictions about future customer behavior. This session will demonstrate the ease of use and usefulness of IBM SPSS Modeler to analyze text from social media accounts to improve traditional quantitative based decision making. 3 - Analyzing User-it Artifact Interaction And Technology Implementation Using Mobile Social Capital Donghyun Kim, Delta State University, dkim@deltastate.edu This paper has two objectives. First, it introduces and tests a richer theoretical model than has been examined previously in order to explain the drivers of mobile social networking (MSN) and outcomes derived from MSN. To do so, the study develops a research model utilizing social network theories to examine the impact of “mobile social capital” on IT usage and social cognitive theory to investigate the outcomes from IT usage. 213-MCC Humanitarian & Disaster Relief Logistics Sponsored: Public Sector OR Sponsored Session Chair: Christopher W Zobel, Virginia Tech, Pamplin Hall, Room 1007, 880 West Campus Drive, Blacksburg, VA, 24061, United States, czobel@vt.edu Co-Chair: Andrew N Arnette, University of Wyoming, 1000 E. University Avenue, Laramie, WY, 82071, United States, aarnette@uwyo.edu MD49 MD51

1 - An Optimization Model For Disaster Relief Asset Pre-positioning Andrew Arnette, University of Wyoming, aarnette@uwyo.edu, Christopher Zobel This research extends previous work on improving the pre-positioning of assets used for disaster relief. It is founded on an evidence-based analytical model that utilizes multiple factors for analytically characterizing risk. This, in turn, is used to determine the potential need for the sheltering of impacted populations in the face of multiple possible natural disasters. By explicitly considering risk, the model is able to consider overall effectiveness at the same time that it ensures equity in the resource allocations. 2 - Empirical Analysis Of Volunteer Convergence At A Disaster Relief Center Lauren Davis, North Carolina A&T University, lbdavis@ncat.edu, Emmett J Lodree Volunteer convergence refers to the mass movement of volunteers toward affected areas following disaster events. This study explores volunteer convergence following the April 2011 tornado disaster in Tuscaloosa, Alabama. Specifically, we characterize selected stochastic variables that are relevant to volunteer task assignment within the context of a disaster relief warehouse environment using data collected during tornado relief efforts. We also discuss the implications of our findings with respect to modeling relief center convergence as a queuing system. 3 - Collaborative Emergency Supply-chains For Essential Goods And Services Marcus Wiens, Dr., Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany, marcus.wiens@kit.edu, Frank Schätter, Christopher Zobel, Frank Schultmann We outline the scope of a Public-Private-Emergency Collaboration (PPEC) with a focus on the provision of essential goods and services which are urgently needed in a disaster situation. We evaluate the potential for such cooperation for each phase of a disaster from an economic perspective. The best chance for synergies and improvements for crisis management depend - among others - on two critical requirements: Public and private actors need to coordinate on critical stages of a relief supply chain and private actors need sufficient incentives to engage in a PPEC on a sustainable basis instead of launching a fast-paced PR-campaign. 4 - Models For The Needs Assessment Routing Problem Burcu Balcik, Ozyegin University, Istanbul, Turkey, burcu.balcik@ozyegin.edu.tr, Duygu Pamukcu We focus on site selection and routing decisions of rapid needs assessment teams, which aim to collect adequate information about the post-disaster conditions of affected communities in a short period of time. We develop alternative mathematical models, which facilitate completing assessments quickly while meeting coverage targets. We present a heuristic, which decomposes the problem into site selection and routing components. We present computational results to show the efficiency of our heuristic. Chair: Burcu B Keskin, The University of Alabama, The University of Alabama, Tuscaloosa, AL, 35487, United States, bkeskin@cba.ua.edu Co-Chair: Ibrahim Capar, The University of Alabama, The University of Alabama, Tuscaloosa, AL, 35487, United States, icapar@cba.ua.edu 1 - Drone Routing Models With Applications To Disaster Relief Stefan Poikonen, University of Maryland - College Park, MD, spoikone@math.umd.edu, Xingyin Wang, Bruce L Golden The Vehicle Routing Problem with Drones (VRPD) is a model that allows the range and carrying capacity of trucks to be complemented by the ability of drones to operate on the as-the-crow-flies metric. Trucks act as mobile recharging stations for the drones. Applications include efficient delivery of medical supplies and communications equipment to remote regions (potentially after a disaster) where traversal of road networks may be slow or non-direct. VRPD will be compared to other models of vehicle routing. Bounds and computational results will be presented, as times allows. 2 - Online Patrol Routing Problem Ibrahim Capar, Bowling Green State University, icapar@bgsu.edu, Burcu B Keskin In this research, we consider online patrol routing problem (OPRP). The objective of OPRP is to maximize the visibility of state troopers at pre-determined hot spots while responding to accidents. We develop several scenarios to explore different reoptimization strategies after responding to an accident. In addition, we evaluate diversification strategies to improve coverage while responding to accidents. MD52 214-MCC Routing Models for Public Safety Sponsored: Public Sector OR Sponsored Session

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