College of Science and Engineering
Permanent URI for this collectionhttps://hdl.handle.net/10877/17053
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Browsing College of Science and Engineering by Department "Information Systems and Analytics"
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Item A Review of Game Theory Applications for Seaport Cooperation and Competition(Multidisciplinary Digital Publishing Institute, 2020-02) Pujats, Karlis; Golias, Mihalis; Konur, DincerIn the ever-changing maritime shipping industry, ports, and more specifically, container terminals, are always on the search for better policy and operational plan developments. As the maritime shipping sector changes, new areas of research emerge. In this paper, we present a review of recent game theory applications for seaport cooperation and competition, accompanied by summary review tables stating the study, the modeling technique used, the methodology and objective, and summary of the results of each study. In total, we have reviewed 33 studies that used game theory models that investigated seaport and container terminal competition and cooperation involving various stakeholders with dating publication years from 2008 to 2019. The paper concludes with a discussion and proposed future research directions. The purpose of the paper is to serve as a reference guide to recent game theory applications on seaport cooperation and competition that would allow a quick understanding of work done in the field.Item A Shared Decision-making Tool to Prevent Substance Abuse: Protocol for a Randomized Controlled Trial(JMIR Publications, 2018-01) Long, Ju; Yuan, Juntao Michael; Johnson, Ron KimBackground: Substance use disorder (SUD) affects over 20 million adults and costs over $700 billion annually in the United States. It is one the greatest health care challenges we face. Objective: This research project seeks to enhance the standard practice of Screening, Brief Intervention, and Referral to Treatment (SBIRT) through a mobile solution easily incorporated into primary care that will promote shared decision making and increase referral and adherence to specialty care through continued follow-up care. Methods: This research will conduct an Office of Management and Budget (OMB)–approved randomized controlled trial (RCT) in primary care and SUD specialty service providers. The RCT will recruit a total of 500 SUD patients. Recruited patients will be randomized into control and intervention arms. Both arms will take initial baseline and exit (30 days) surveys to evaluate self-reported substance use and specialty service utilization. The control arm patients will receive usual care. The intervention group patients will receive technology-enhanced SBIRT and a mobile follow-up program to track goals and substance use at home. The RCT tracks participants for 30 days after the primary care encounter. We will collect feedback from the patients during the 30 days and count the number of patients who use specialty care services in specialty care programs for tobacco, alcohol, and drug abuse (both from self-reporting and from the service providers). Results: RCT and data collection are underway. We expect to report the data results in 2018. Conclusions: We expect that significantly more intervention group patients will receive specialty SUD care within 30 days following the SBIRT encounter at the primary care clinic compared to the control group. We also expect that the intervention group patients will report a greater reduction in substance use and a greater drop in Drug Abuse Screening Test and Addition Severity Index scores within 30 days.Item Adaptive Learning Technology Relationship with Student Learning Outcomes(Informing Science Institute, 2020-03) White, GarryAim/Purpose: The purpose of this study is to determine the effectiveness of an Adaptive Learning Technology (ALT), as compared to traditional teaching methods, in an undergraduate management information course. The effectiveness is based on Bloom’s Taxonomy of Learning Competencies. Background: Previous studies have investigated factors involved with ALT. From one study, students enjoyed how to use new technology and believed it improves learning. However, the literature lacks studies showing gains in understanding and remembering as defined by Bloom’s Taxonomy of Learning Competencies. Methodology: Correlations between ALT usage and test/course grades were performed. McGraw-Hill’s Connect LearnSmart® was used as the ALT. The ALT was optional for extra credit in the class. Correlations were performed between LearnSmart® scores and tests. Then, since usage was bimodal (students who took the initiative to fully complete LearnSmart® and those who did not do LearnSmart®), an independent-samples t-test was performed between these two distinct groups. Sampling was from an Information Technology course at a major university. The data collection methods composed of recording LearnSmart® scores and test scores. Contribution: This study aims to provide empirical evidence of ALT outcomes in learning, to show if ALT enhance learning over traditional teaching methods. If not, the value of using ALT is provided. Findings: Results showed no relationships between ALT usage and test/course grades. No differences between the two groups (those who completed ALT and those that did not do the ALT) were found with each of the four tests and final course grades. Since the ALT group did the LearnSmart® as an option, the tool appears to be a preference for learning style and provides user satisfaction. This is consistent with prior studies. Recommendations for Practitioners: Practitioners should use ALT for convenience, preferences, and students’ satisfaction. The use of both traditional teaching methods and newer technology teaching methods might be most effective because they provide flexibility for the best method that satisfies the student. Editors and developers of publishers need to consider student preferences in learning. Recommendation for Researchers: Opinions and perceptions by subjects may be misleading. In future research, empirical evidence needs to be provided to validate opinions and perceptions. Research needs to focus more on students’ characteristics such as learning style, learning preferences, and initiative. Impact on Society: This research suggests that an ALT is efficient for the learning process rather than effective for outcomes and enhanced learning. Students can learn just as well without an ALT. Decisions to use an ALT should be based on convenience and student preferences. Future Research: In this study, students had the option to do an ALT. They showed initiative. For future research, initiative needs to be removed. Random assignments to do an ALT or not need to be studied to further confirm the findings of this study. Also, a future study needs to use the same subject’s outcomes for both an ALT and traditional teaching methods.Item Analysis of Health Care Billing via Quantile Variable Selection Models(Multidisciplinary Digital Publishing Institute, 2021-09-27) Ekin, Tahir; Damien, PaulFraudulent billing of health care insurance programs such as Medicare is in the billions of dollars. The extent of such overpayments remains an issue despite the emerging use of analytical methods for fraud detection. This motivates policy makers to also be interested in the provider billing characteristics and understand the common factors that drive conservative and/or aggressive behavior. Statistical approaches to tackling this problem are confronted by the asymmetric and/or leptokurtic distributions of billing data. This paper is a first attempt at using a quantile regression framework and a variable selection approach for medical billing analysis. The proposed method addresses the varying impacts of (potentially different) variables at the different quantiles of the billing aggressiveness distribution. We use the mammography procedure to showcase our analysis and offer recommendations on fraud detection.