2016 INFORMS Annual Meeting Program

225 / 561

INFORMS Nashville – 2016
225
3 - Communication And Conflict: Analyzing Homophily On Social
Media During Conflict
Sean Everton, Associate Professor, Naval Postgraduate School,
Monterey, CA, 93943, United States, ,
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,
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.
MD49
211-MCC
Social Media User Behavior
Invited: Social Media Analytics
Invited Session
Chair: Donghyun Kim, Delta State University, Cleveland, MS, 11111,
United States,
1 - Social Relativeness
Eyad Youssef, Delta State University,
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,
, 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,
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.
MD51
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,
Co-Chair: Andrew N Arnette, University of Wyoming, 1000 E.
University Avenue, Laramie, WY, 82071, United States,
1 - An Optimization Model For Disaster Relief Asset Pre-positioning
Andrew Arnette, University of Wyoming,
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,
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, , 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,
, 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.
MD52
214-MCC
Routing Models for Public Safety
Sponsored: Public Sector OR
Sponsored Session
Chair: Burcu B Keskin, The University of Alabama, The University of
Alabama, Tuscaloosa, AL, 35487, United States,
Co-Chair: Ibrahim Capar, The University of Alabama, The University of
Alabama, Tuscaloosa, AL, 35487, United States,
1 - Drone Routing Models With Applications To Disaster Relief
Stefan Poikonen, University of Maryland - College Park, MD,
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, ,
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