Informs Annual Meeting Phoenix 2018

INFORMS Phoenix – 2018

TC73

3 - A Cross Industry Study of Institutional Pressures on Organizational Effort to Raise Information Security Awareness Hwee-Joo Kam, University of Tampa, Tampa, FL, 33606, United States, Thomas Mattson, Sanjay Goel In this paper, we conceptually and empirically investigate the relationship between industry and information security awareness (ISA). To examine these potential industry effects, we draw on Neo-Institutional Theory (NIT). We specifically theorize that the pressures from the three institutional pillars (regulative, normative, and cultural-cognitive) will affect employees across all industries but the magnitude of those effects will vary across industries. To evaluate our theorized relationships empirically, we surveyed employees in the banking, healthcare, retail, and higher education industries. 4 - Do Data Breaches Impact Healthcare Market Share? Juhee Kwon, Korea Advanced Institute of Science & Technology (KAIST), Hoe, Seoul, Kosovo, Republic of, M. Eric Johnson Using propensity score matching combined with a difference-in-differences technique, this study examines whether hospitals observes changes in market share after a data breach. Accounting for geographically based competition in the U.S. healthcare sector, we find that data breaches significantly impact healthcare market share only in moderately concentrated markets where consumers have reasonable alternatives. We also find that the impact is much smaller in geographic regions with large health maintenance organizations plans. This implies that regionally dominant hospitals are able to endure breaches with little loss. n TC73 West Bldg 211B JFIG Panel Discussion: Advancing Your Research in Non-Doctorate Granting Institutions Sponsored: Junior Faculty JFIG Sponsored Session Chair: Gokce Palak, Shenandoah University, Winchester, VA, 22601, United States Co-Chair: Canan Gunes Corlu, Boston University, Boston, MA, 02215, United States 1 - JFIG Panel Discussion: Advancing Your Research in Non-Doctorate Granting Institutions Canan Gunes Corlu, Boston University, 808 Commonwealth Avenue, Boston, MA, 02215, United States Panelists will share their experiences, challenges and best practices in advancing research in non-doctorate granting institutions. Panelists Mesut Yavuz, Associate Professor, University of Alabama, Alston Hall Box 870226, Tuscaloosa, AL, 35487, United States Mihai M. Banciu, Bucknell University, College of Management, 119 Taylor Hall, Lewisburg, PA, 17837, United States Jeffrey D. Camm, Wake Forest University, School of Business, P.O. 7897, Winston-Salem, NC, 27109, United States Amit Eynan, University of Richmond, Robins School of Business, 1 Gateway Road, Richmond, VA, 23173, United States Artificial Intelligence Based MCDM Sponsored: Multiple Criteria Decision Making Sponsored Session Chair: Noor E. Alam, Northeastern University, Boston, MA, MA 02115, United States 1 - Consequence-based Framework for Municipal Infrastructure using Bayesian Belief Network Golam Kabir, Assistant Professor, University of Windsor, CEI 3013, 401 Sunset Avenue, Windsor, ON, N9B 3P4, Canada, Ngandu B. Balek, Solomon Tesfamariam The failure of municipal infrastructures like roads, water mains, sewers, bridges may cause crucial consequences to the health, environment, society, and economy. To develop an effective consequence-based framework, the data required from multiple sources and the relationship among the multiple consequence criteria is nonlinear and complex. In this study, a BBN-based sewer n TC74 West Bldg 212A

consequence model is developed to handle the cause-effect relationships between multiple criteria and to prioritize the sewers for maintenance, repair, and replacement. The efficacy and the applicability of the proposed concept are demonstrated on the wastewater collection network of the City of Vernon, BC, Canada. 2 - Resilient Suppliers Selection: A Pragmatic Decision-Making Approach Noor E. Alam, Northeastern University, 334 Snell Engineering Center, 360 Huntington Avenue, Boston, MA, MA 02115, United States, MD Mahmudul Hasan, Tasnim Ibn Faiz, Dizuo Jiang This study aims to select resilient suppliers based on multi-criteria decision making approach, entailing both crisp and perception based information. To handle computing with words and crisp information in an integrated manner, a single valued neutrosophic sets and interval valued fuzzy sets in combination with TOPSIS was proposed, followed by a sensitivity analysis with respect to Noor E. Alam, Northeastern University, 334 Snell Engineering Center, 360 Huntington Avenue, Boston, MA, MA 02115, United States, Sharif Ullah In this talk, we will introduce a decision making framework which can use Big data driven graphical information to make multi-criteria decision making. 4 - Multiobjective Adaptive Convolutional Neural Network for Medical Image Segmentation Maria Baldeon, USF, 18322 Bridle Club Dr., Tampa, FL, 33647, United States, Susana Lai-Yuen In this work we present an adaptive convolutional neural network for medical image segmentation. The AdaResU-Net consists of a fixed architecture and a learning framework that adapts the hyperparameters to the training dataset. The fixed architecture combines the favorable structure of the U-Net with a residual learning framework. The learning framework uses a multiobjective evolutionary algorithm to evolve networks with different hyperparameters subject to segmentation accuracy and model size as objective functions. Experimental results show that the AdaResU-Net is able to find competitive architectures with less than half the number of trainable parameters than competing networks. n TC75 West Bldg 212B Considering Human Aspects in Military Operations Sponsored: Military and Security Sponsored Session Chair: Richard F. Deckro, Air Force Institute of Technology, AFIT/ENS Bldg 641, 2950 Hobson Way, Wright Patterson AFB, OH, 45433-7765, United States 1 - Dynamic-data-Driven Application System (DDAS) Based Multi-scale Simulation for Border Surveillance Seunghan Lee, PhD Candidate, University of Arizona, Tucson, AZ, 85721, United States, Saurabh Jain, Young-Jun Son Implementation of a robust border-surveillance system is challenging due to the information diversity and variability. We present an autonomous effective surveillance system based on multi-level simulation by deploying different types of sensors. Integration of agent-based and physics-based simulations will be developed and demonstrated for optimal planning and control of unmanned vehicles with a real-time geographic information system. 2 - Intersection of Human Aspects of Military Operations and Quantitative Decision-making Kevin Kennedy The JC-HAMO recognizes the centrality of human will, behavior, and decision- making in war and provides a framework that integrates into the Commanders Decision Cycle. The four central imperatives underpinning the concept are: “Identifying the range of relevant actors and their associated social, cultural, political, economic, and organizational networks”. “Evaluating relevant actor” Anticipating decision-making. “Influencing the will and decisions of relevant actors” This discussion will show how research from various operations research fields have laid the groundwork to make this concept feasible. 3 - Linking Human Behavior to Campaign Planning: A Discussion of Some Modeling Approaches Richard F. Deckro, Air Force Institute of Technology, Afit/ENS; Bldg 641, Department of Operational Sciences, Wright Patterson AFB, OH, 45433-7765, United States The JC-HAMO calls for including aspects of a foes human behavior into campaign planning. This presentation reviews some of the modeling approaches available and suggests how they might begin to be included in campaign planning. After setting the stage, a participatory discussion is encouraged. varying weight of the criteria. 3 - Big Data Driven MCDM

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