Extracurriculars: An Investment In Tomorrow’S Generation, Charles Merriam

Student Research Symposium

High school age students across the country find themselves either underperforming in or dropping out entirely from high school. This already alarming issue increases in severity when we discover that the majority of these students belong to groups that need what a high school diploma has to offer the most. My research aimed at discovering how involvement extracurricular activities can motivate these students and provide them with the tools necessary to succeed. I investigated the topic using the University Library Database and other online databases to collect and evaluate primary and secondary sources. These sources focused mostly on studies that …

Geospatial Analysis Of Drug-Related Crimes In Local Communities In Utah, Erin Crump

Student Research Symposium

According to the 2021 World Drug Report released by the United Nations Office on Drugs and Crime (UNODC), over 36 million people among 275 million people who used drugs worldwide suffered from drug use disorders in 2020 alone. In addition, the number of people who use drugs is estimated to increase by 11 percent globally by 2030. Therefore, there exists a strong need to further understand drug usage and drug-related crimes to address prevention and intervention policies. In particular, the identification of geographical locations with frequent drug-related crimes is very critical for law enforcement agencies and state/federal governments to establish …

Society Dilemma Of Computer Technology Management In Today's World, Iwasan D. Kejawa Ed.D

School of Computing: Faculty Publications

Abstract - Is it true that some of the inhabitants of the world’s today are still hesitant in using computers? Research has shown that today many people are still against the use of computers. Computer technology management can be said to be obliterated by security problems. Research shows that some people in society feel reluctant or afraid to use computers because of errors and exposure of their privacy and their sophistication, which sometimes are caused by computer hackers and malfunction of the computers. The dilemma of not utilizing computer technology at all or, to its utmost, by certain people in …

The Music Bluetooth Controller: An Intersection Between Technology And Music, Lydia Wu

Senior Honors Theses

The modern musician faces a new challenge: how can technology be used to enhance a performance? This thesis documents the development of a Bluetooth remote controller that will aid today’s performing musicians by interacting with a digital display (e.g., an iPad) to flip musical score pages remotely. At its core, while mimicking a Bluetooth pedal (the current industry standard), this device attaches to the musician’s hand. In its pilot stages, the device has been referred to “MBC” (Music Bluetooth Controller).

The New Frontier Or A Billionaire’S Joy Ride? Artificial Intelligence Driven Analysis Of Twitter Conversations Of The Spacex Company, Meghan Whittle, Miranda Butler

Senior Theses

In recent years, space travel has become less of a vision for select individuals in the field of research and is now on the cusp of becoming an experience available to paying customers. The purpose of this study is to determine Twitter users’ perceptions of SpaceX during the COVID-19 pandemic period from March 2020 to December 2021. We identified Twitter sentiment and emotions regarding such a new and abstract notion of a service that could be more widely available in the future. To achieve these goals, we collected tweets related to SpaceX using Brandwatch – a tool allowing the search …

Analyzing The Development Of A Remote Debate Program Using Video Annotation Through A Systems Approach, Ryohei Ryohei Matsumura, Munemi Asai, Hideki Nakai, Akio Suzuki

Japanese Society and Culture

This study aims to apply a systems approach to analyze the development of an education system for remote asynchronous debates. Although several studies have applied a systems approach to various objects, they attempted to improve projects using the approach by intention. However, in our study, the use of a systems approach was an unintentional part of the process, with stakeholders not being explicitly aware of the concepts behind systems thinking. In the midst of the process, a variety of systems thinking methods were partially adopted, making the project more systemic; however, the project was not oriented to follow specific problem-solving …

An Empirical Study To Understand The Effectiveness And Scope Of Blockchain Technology In Indian Public Sector, Radhakrishnan Airy, Hritika Gajarlawar, Nilay Bajaria, Ganesh Joshi

Walden Faculty and Staff Publications

The Blockchain is a distributed database that is maintained as Blocks and contains all transactions or digital occurrences. These are the records of transactions that take place between parties.Blockchain blocks are kept as blocks and shared among participants. Each Block is examined, validated, and saved by the parties who are a part of the system/network, each brick is unique and contains the details of a single transaction as well as the transaction's hash key. The study offers insights to researchers about the opportunity threat and future use of blockchain in the public sector.

P2p Accommodation Motivators And Repurchase Intention: A Comparison Of Indirect And Total Effects Before And During The Covid-19 Pandemic, Cass Shum, Billy Bai, Mehmet Erdem

Hospitality Faculty Research

Despite increased research attention on guests’ motivators to use peer-to-peer (P2P) accommodation, such as Airbnb, it remains unclear which motivators have the strongest effect on repurchase intention; and how the COVID-19 pandemic changes the effects of motivators. By conducting two U.S.-based studies before and during the COVID-19 pandemic, this study tested and compared the indirect and total effects of 13 motivators on repurchase intention on the P2P accommodation platforms via satisfaction. Functional motivators increased repurchase intention via satisfaction before and during the pandemic. Neighborhood – a location-based functional motivator – consistently had the strongest total effects on repurchase intention. COVID-anxiety …

General Adversarial Networks In Tumor-Related Research: A Review And Agenda For Moving Forward, Andrew James Behrens, Cherie Noteboom

SDSU Data Science Symposium

Recent advances in Generative Adversarial Networks (GANs) have led to many new variants and uses of GANs. The latest advancements have allowed researchers and practitioners to apply this technique to tumor-related problems with limited data. One of the trends in this problem domain is to develop different variants of GANs suited explicitly to particular problems. The variants of GANs are numerous but share a common characteristic of expanding the dataset by creating synthetic data from the original dataset. This paper aims to develop a research agenda through a systematic literature review that investigates practitioners' and researchers' emerging issues and current …

Deploying Live Dashboard Data Using Usda Data Apis To Inform Farmers/Producers, Indira Fuyal, Paurakh Paudel, David Zeng

SDSU Data Science Symposium

The main objective of this project is to provide the farmers/producers and small business owners with a data intensive information hub to better understand the market trends and patterns in an interactive way to help make informed decisions. This technology is part of a larger project that includes AI powered data services to provide users with decision making support for real time data solutions. Together with Natural Language Generation, there is a huge potential to deploy this technology. In this small demo of this hugely beneficial technology, we make use of the publicly available Open Data Services – ESR Data …

Session 5: Equipment Finance Credit Risk Modeling - A Case Study In Creative Model Development & Nimble Data Engineering, Edward Krueger, Landon Thompson, Josh Moore

SDSU Data Science Symposium

This presentation will focus first on providing an overview of Channel and the Risk Analytics team that performed this case study. Given that context, we’ll then dive into our approach for building the modeling development data set, techniques and tools used to develop and implement the model into a production environment, and some of the challenges faced upon launch. Then, the presentation will pivot to the data engineering pipeline. During this portion, we will explore the application process and what happens to the data we collect. This will include how we extract & store the data along with how it …

The Analysis Of The Roles Of Bitcoin, Ethereum, And Gold As Hedge And Safe-Haven Assets On The Indonesian Stock Market Before And During The Covid-19 Pandemic, Carla A. Wijaya, Maria Ulpah

The Indonesian Capital Market Review

The uncertainty due to the COVID-19 outbreak has encouraged investors to look for value hedging instruments to minimize risk, which can be in the form of hedging assets or safe-haven assets. In response to it, this study aims to find out whether Bitcoin, Ethereum, and gold can behave as hedging and safe-haven assets before and amid the pandemic in Indonesia. The strategy is by observing the effects of volatility and return of Bitcoin, Ethereum, and gold on the Indonesian stock market. This study employed both quantile regression and simple linear regression models on data of daily closing price taken before …

Analysis Of Egyptian Commodity Imports During The Trade Liberalization Period, Amria Abd El-Rahim Sheha

Archived Theses and Dissertations

No abstract provided.

Sustainable Agriculture Through Data Analytics, Arthur Carlos, Xayaphone Salinthone, Michelle Nguyen, Aimee Jacobs

CSU Journal of Sustainability and Climate Change

There is an increasing need for sustainable agriculture in light of climate change and growing populations. Certified B Corporations meet the highest standards of verified social and environmental performance, public transparency, and legal accountability to balance profit and purpose. This paper describes a student-learning project that develops an Environmental Management System (EMS) using data analytics to improve a family-owned farming business's decision-making process for efficient natural resource allocation, as well as the reporting requirements associated with their B Corp Certification. This project's primary resource is water reporting, but it may be expanded to include other resources.

Exploratory Content Analysis Of Direct-To-Consumer Pet Genomics: What Is Being Marketed And What Are Consumers Saying?, Nikki E. Bennett, Silvio Ernesto Mirabal Torres, Peter B. Gray

Anthropology Faculty Research

Mars Petcare introduced the first direct-to-consumer domestic dog genetic test in 2009 and Basepaws introduced the first direct-to-consumer cat genetic test in 2016. Social science research has evaluated numerous aspects of the human direct-to-consumer market, yet no such exploration has evaluated the occurrence of pet owners pursuing pet genetic tests. Using a mixed methods approach, we conducted an exploratory content analysis of direct-to-consumer pet genetic company webpages and consumer reviews shared on Amazon. Initial data reviews indicated some companies may be key industry players, relative to others. Our results present content frequency for each group (key industry players, all other …

2021-2022 Morehead State University Audit Report, Morehead State University. Accounting And Financial Services Office.

Morehead State University Audit Reports

2021-2022 Audit Report for Morehead State University.

Spent Hemp As An Animal Feed And Vertical Price Transmission In Us Hemp Value-Added Supply Chain, Solomon E. Odiase

Theses and Dissertations--Agricultural Economics

This thesis comprises of two articles covering spent hemp's prospects as an animal feed and the price interaction across the hemp commodity value-added supply chain. The first article uses a comparative analysis tool to analyze the potential of spent hemp as an animal feed or feed ingredient based on its yield, nutritional composition and market price. This comparative advantage analysis revealed that spent hemp is competitive based on its rich essential nutritional content, comparatively high yield per acre, and low market price. Furthermore, with the increasing drought conditions, production cost and market price of alfalfa hay, spent hemp may fill …

Impact Of Behavioral Biases On Investment Decisions Of Fund Managers: Mediating Role Of Investor's Risk Perception During Covid-19, Bushra F. Malik, Anousha Iftikhar, Huma Ayub, Abida Ellahi

Accounting, Business Analytics, Economics, and Finance Department Faculty Articles

This study examined the relationship of one of the important factors observed during the COVID situation where different behavioral biases impact the risk perceptions and investment decisions of fund managers of Pakistan. Data has been gathered from fund managers of various organizations located in Rawalpindi and Islamabad through a structured questionnaire. The snowball sampling technique has been utilized. SPSS has been utilized for the data analysis. To test hypotheses, regression analysis has been done. The mediation and moderation results have been determined through Preacher and Hayes PROCESS macro. Model 7 of PROCESS macro has been utilized as it is best …

9253y: Investigation Of A Ce Labelling Strategy For Mri Electromagnetic Field Probes, Erica Ai Li, Sherjeel Anwar, Shoubhik Pandit, Sinthuja Thiruchelvam, Tristan Hilker

Community Engaged Learning Final Projects

Executive Summary

As a business grows, there is pressure to expand into new markets, which led to this review. This report is connection with a company that aims to meet the MRI testing needs of its clients. The purposes of this review are (1) to assess the requirements for CE labeling certification and (2) to evaluate the European and the international markets.

Purpose 1: Requirements for CE certification

To obtain CE labeling, there is a need to follow the procedures outlined in the Measuring Instruments Directive. This includes meeting the essential requirements of reproducibility, repeatability, discrimination and sensitivity, durability, reliability, …

Access To Credit And Social Capital: The Case Of Indonesia, Muhammad Syaiful, Bayu Kharisma

The Journal of Sociology & Social Welfare

This paper analyzes the relationship between social capital and individuals’ access to credit in Indonesia. We used the data from the fifth wave of the Indonesian Family Life Survey (IFLS5) and focused on the “flow” aspect of social capital, i.e., participation in various activities that can be regarded as an addition to the general “stock” of social capital. The results showed that two participation characteristics in social activities, namely “voluntary-type” and “economic-embedded” activities which affect creditmarket outcome. Using an extended probit model with correction for selection bias and endogenous regressor, we found that investment in the latter activity can improve …

The Economic Obstacles To Electric Vehicle Adoption In Montana, Lily B. Duray

Undergraduate Theses, Professional Papers, and Capstone Artifacts

Beginning in 2008, electric vehicles, otherwise referred to as EVs have increased in popularity. However, most rural areas like Montana still have not adopted these types of vehicles because of three major obstacles. By addressing EV driving range, availability of public EV charging stations, and the charging times of EVs, EVs can become a credible substitute for traditional vehicles in Montana.

Netflix Strategic Business Analysis, Kegan L. Morris

Undergraduate Theses, Professional Papers, and Capstone Artifacts

An external analysis done to identify opportunities and threats Netflix faces.

How A Supply Chain Stumble Changes A Company’S Policies And Progress 20 Years Later: A Case Study Of Gap Inc., Alexandra Futterman

CMC Senior Theses

Gap Inc. is the third-largest American retailer. Founded in 1969, Gap Inc. holds four brands, Gap, Banana Republic, Old Navy and Athleta. In the late 1990s and early 2000s Gap Inc. made headlines for child labor abuses along with many other large brands. After this negative attention, Gap Inc. began developing policies and practices to combat ethical supply chain issues. These policies included a Human Rights Policy, a Code of Vendor Conduct, working conditions standards, and even capacity building programs that boarded company reaches into communities they touch. In conjunction with the policies Gap Inc. has published several social responsibility …

Towards A Better Understanding Of The Development Of Collaborative Consumption Pricing, Funda Sarican

2022

With the rise of social platforms, consumers started creating value by sharing human and physical resources. As a result, there has been an increase in collaborative consumption. My papers focus on the peer-to-peer travel accommodation service Airbnb, a popular online market for short-term housing rentals.

In paper one, an integrated framework for collaborative consumption pricing is developed by adopting the hedonic demand theory and leveraging the multilevel modeling method that accounts for various factors from nested data. This paper contributes to the research literature by extending the usage of multilevel modeling across cities to consider city effects and broadening the …

Optimizing Pension Outcomes Using Target Volatility Investment Concept, Zefeng Bai

2022

The target volatility strategy is a very popular investment concept in financial marketplace. For my dissertation, I focus on studying the target volatility investment concept in application to pension accumulation as well as decumulation stages. Additionally, I extend a basic target volatility strategy by introducing trading boundaries to its asset allocation mechanism. My dissertation study follows a three-paper format.

In paper one, we propose a new pension strategy that aims at improving the protection of a long-term pension plan in volatile market conditions. Over a hypothetical twenty-year pension scheme, we show that our newly proposed strategy, which attaches a target …

Interlocking Directorates Among The S&P 500: Social Networks, Gender Diversity, And Corporate Governance, Eric P. Magistad

School of Business Student Theses and Dissertations

This multi-article investigation examines corporate board composition and the implications for regulatory penalties. Director diversity on key board committees and board interlocks influence board behaviors as they relate to regulatory risk. Directors bring experience and inter-industry ties to a board position and subsequently transfer and receive specific knowledge, practices, and contacts with other directors (Hillman & Haynes, 2010). Despite this exchange, firms may suffer regulatory oversight penalties because different directors perceive and respond to risk differently (Douglas & Wildavsky, 1983; Flynn et al., 1994). Leveraging the tenets of the cultural theory of risk perception (Douglas & Wildavsky, 1983) and of …

Conflating Relevance With Practical Significance And Other Issues: Commentary On Sen, Smith, And Van Note’S “Statistical Significance Versus Practical Importance In Information Systems Research”, Kaveh Mohajeri, Mostafa Mesgari, Allen S. Lee

Information Systems and Business Analytics Faculty Works

Expanding on the current debate on the issues of statistical and practical significance in information systems research, where the article by Sen, Smith, and Van Note is a recent contribution, this commentary cautions against conflating relevance with practical significance. We emphasize that relevance is 1) about the real-world usefulness of research findings rather than their impressiveness for the researcher audience, 2) an essential quality of research spanning beyond its findings and not merely limited to statistical studies, and 3) determined by nonacademics rather than academics. We also comment on other aspects of the article by Sen et al., such as …

Co-Jumps, Co-Jump Tests, And Volatility Forecasting: Monte Carlo And Empirical Evidence, Weijia Peng, Chun Yao

WCBT Faculty Publications

This study classifies jumps into idiosyncratic jumps and co-jumps to quantitatively identify systematic risk and idiosyncratic risk by utilizing high-frequency data. We found that systematic risk occurs more frequently and has larger magnitudes than the idiosyncratic risk in an individual asset, which indicates that volatilities from one sector are largely derived from the contagious effect of other sectors. We further investigated the importance of idiosyncratic jumps and co-jumps to predict the sector-level S&P500 exchange-traded fund (ETF) volatility. It was found that the predictive content of co-jumps is higher than that of idiosyncratic jumps, suggesting that systematic risk is more informative …

The Bobo Project: Hexa-Eagles, Anjana Mahesh Kumar, Huna Amad, Jean Samirah Venturina, Sakthivel Mithra, Suhasini, Sumaiyathul Faaliha

Student Works

The consumer business has undergone a substantial shift in how customers to shop since the introduction of online shopping. When the world was affected by Covid-19 in 2020, one of the most major repercussions was in the Food & Beverage (F&B) and grocery industries. As a result of the pandemic, many cities were put under lockdown, and everyone remained indoors. Consumer purchasing patterns changed dramatically, with malls closing or operating with limited access, and customers avoiding common spaces for fear of getting the virus. As the global epidemic progressed, several firms were forced to close their physical locations due to …

Estimating The Statistics Of Operational Loss Through The Analyzation Of A Time Series, Maurice L. Brown

Theses and Dissertations

In the world of finance, appropriately understanding risk is key to success or failure because it is a fundamental driver for institutional behavior. Here we focus on risk as it relates to the operations of financial institutions, namely operational risk. Quantifying operational risk begins with data in the form of a time series of realized losses, which can occur for a number of reasons, can vary over different time intervals, and can pose a challenge that is exacerbated by having to account for both frequency and severity of losses. We introduce a stochastic point process model for the frequency distribution …