Carlos Alvarez College of Business Faculty Research: Recent submissions
Now showing items 21-38 of 38
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Impact and Key Challenges of Insider Threats on Organizations and Critical Businesses
(9/7/2020)The insider threat has consistently been identified as a key threat to organizations and governments. Understanding the nature of insider threats and the related threat landscape can help in forming mitigation strategies, ... -
A Study on the X¯ and S Control Charts with Unequal Sample Sizes
(5/2/2020)The control charts based on X¯ and S are widely used to monitor the mean and variability of variables and can help quality engineers identify and investigate causes of the process variation. The usual requirement behind ... -
Optimal Coordination Strategy for International Production Planning and Pollution Abating under Cap-and-Trade Regulations
(9/19/2019)Because both pollution emissions and production policies often are international in scope, it is necessary to find optimal coordination strategies for international production planning and pollution abating. Differential ... -
Emerging Technologies for Future Sensor Networks—Selected Papers from ICGHIT 2019
(9/6/2019)The International Conference on Green and Human Information Technology (ICGHIT) is an international conference focusing on green and information technologies oriented toward humanity [...] -
Social Media and Customer-Based Brand Equity: An Empirical Investigation in Retail Industry
(9/19/2018)As customer-brand engagement progressively shifts to digital domains, understanding social media effects in branding has become a vital issue. Social media effectiveness is especially important for the US retail sector due ... -
A Novel Certificateless Signature Scheme for Smart Objects in the Internet-of-Things
(5/1/2017)Rapid advances in wireless communications and pervasive computing technologies have resulted in increasing interest and popularity of Internet-of-Things (IoT) architecture, ubiquitously providing intelligence and convenience ... -
A Study of the Triggers of Conflict and Emotional Reactions
(4/20/2017)We study three triggers of conflict and explore their resultant emotional reactions in a laboratory experiment. Economists suggest that the primary trigger of conflict is monetary incentives. Social psychologists suggest ... -
The Role of the Decision-Making Regime on Cooperation in a Workgroup Social Dilemma: An Examination of Cyberloafing
(11/5/2015)A burgeoning problem facing organizations is the loss of workgroup productivity due to cyberloafing. The current paper examines how changes in the decision-making rights about what workgroup members can do on the job affect ... -
Predicting the Next Big Impact: Modelling the Rate of Massive Meteorite Strikes
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 7, 2020-12)Meteorites are solid pieces of debris from an astronomical object such as a comet, asteroid, or meteoroid that originates in outer space and survives its passage through the atmosphere to reach the surface of a planet. ... -
Stochastic SIR-based Examination of the Policy Effects on the COVID-19 Spread in the U.S. States
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 7, 2020-12)Since the global outbreak of the novel COVID-19, many research groups have studied the epidemiology of the virus for short-term forecasts and to formulate the effective disease containment and mitigation strategies. The ... -
Quantum Computation, Quantum Algorithms and Implications on Data Science
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 7, 2020-12)Quantum computing is a new revolutionary computing paradigm, first theorized in 1981. It is based on quantum physics and quantum mechanics, which are fundamentally stochastic in nature with inherent randomness and uncertainty. ... -
Optimal Dynamic Treatment Regime by Reinforcement Learning in Clinical Medicine
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 7, 2020-12)Precision medicine allows personalized treatment regime for patients with distinct clinical history and characteristics. Dynamic treatment regime implements a reinforcement learning algorithm to produce the optimal ... -
Statistical Perspectives in Teaching Deep Learning from Fundamentals to Applications
(The UTSA Journal of Undergraduate Research and Scholarly Work;, 2020-12)The use of Artificial Intelligence, machine learning and deep learning have gained a lot of attention and become increasingly popular in many areas of application. Historically machine learning and theory had strong ... -
Predicting the Expected Waiting Time of Popular Attractions in Walt Disney World
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 6, 2019)Waiting lines are inevitable consequence of imbalance in service operations at modern theme parks. Because of that, parks have introduced different approaches to reduce standard waiting time; some of which are at no extra ... -
Strategic Analysis and Evaluation of Cheesecake Factory’s Supply Chain: Uncertainties, Challenges, and Remedies
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 6, 2019)In the business world, it is important to maintain a profitable balance between efficiency (cost) and responsiveness (to changes in the market, customer demand, etc.) We took the fundamentals of supply chain theory and ... -
Application of the Cox Proportional Hazards Model for the Quantitative Analysis of LC-MS Proteomics Data
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 5The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 5, 2019)Along with quantitative, analytical genomics, proteomics continues to be a growing field for determining the gene and cellular functions at the protein level. As the liquid chromatography mass spectrometryphy (LC-MS) ... -
Comparison of Regression Methods to Identify Differential Expression in RNA-Sequencing Count Data from the Serial Analysis of Gene Expression
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 5, 2019)Comparative RNA-sequencing analysis for the Serial Analysis of Gene Expression (SAGE) can help identify changes in gene expression which are characteristic to human diseases. Since the RNA-sequencing experiment measures ... -
Comparison of Gene Set Analysis with Various Score Transformations to Test the Significance of Sets of Genes
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 4, 2018)Microarray analysis can help identify changes in gene expression which are characteristic to human diseases. Although genomewide RNA expression analysis has become a common tool in biomedical research, it still remains a ...