Business Commons^™

The Impact Of Covid-19 Pandemic On Fan Attendance In Major League Soccer (Mls) 2018-2022, Benjamin Appiah

Electronic Theses, Projects, and Dissertations

ABSTRACT

This culminating experience project investigates the impact of the COVID-19- on Major League Soccer (MLS). The research questions are: (Q1) How did the pandemic impact the trend of fan attendance in the MLS during the COVID-19 pandemic? (Q2) What factors impacted fan attendance in MLS games before the COVID-19 pandemic? (Q3) What factors impact fan attendance in MLS games after COVID-19 pandemic? The findings were: (Q1) Average annual fan attendance declined by 93.61% in 2019 and 2020, and an annua l increase of 49.47% between the year of 2020 and 2021. (Q2) The study revealed that 72.9% of the …

Early-Warning Prediction For Machine Failures In Automated Industries Using Advanced Machine Learning Techniques, Satnam Singh

Electronic Theses, Projects, and Dissertations

This Culminating Experience Project explores the use of machine learning algorithms to detect machine failure. The research questions are: Q1) How does the quality of input data, including issues such as outliers, and noise, impact the accuracy and reliability of machine failure prediction models in industrial settings? Q2) How does the integration of SMOTE with feature engineering techniques influence the overall performance of machine learning models in detecting and preventing machine failures? Q3) What is the performance of different machine learning algorithms in predicting machine failures, and which algorithm is the most effective? The research findings are: Q1) Effective outlier …

Improving Credit Card Fraud Detection Using Transfer Learning And Data Resampling Techniques, Charmaine Eunice Mena Vinarta

Electronic Theses, Projects, and Dissertations

This Culminating Experience Project explores the use of machine learning algorithms to detect credit card fraud. The research questions are: Q1. What cross-domain techniques developed in other domains can be effectively adapted and applied to mitigate or eliminate credit card fraud, and how do these techniques compare in terms of fraud detection accuracy and efficiency? Q2. To what extent do synthetic data generation methods effectively mitigate the challenges posed by imbalanced datasets in credit card fraud detection, and how do these methods impact classification performance? Q3. To what extent can the combination of transfer learning and innovative data resampling techniques …

Education As A Solution To Combat Rising Cybercrime Rates Against Children And Teenagers, Christian Javier Solis-Diaz

Electronic Theses, Projects, and Dissertations

Ninety seven percent (97%) of people between the ages of 3 and 18 are found to be users of technology and internet services daily. This number also correlates with rising cyber crime rates against people in this age bracket. It is found that people between 3 and 18 years old are found to be technologically savvy but often lack the knowledge of how to protect themselves in online environments. Researchers have suggested that cybersecurity awareness training is an effective method at combating common forms of cyberattack such as social engineering. Social engineering attacks are found to make up 98% of …

Statistical Analysis And Machine Learning To Improve League Championship Series Teams, Alexander Gilles

Electronic Theses, Projects, and Dissertations

ABSTRACT

One area for further study in Esports is the use of advanced analytics from a performance standpoint. This culminating experience project sought to find and implement effective performance analytics techniques, using the most popular Esport (League of Legends) as its subject. The research questions asked are (Q1) How do champions, players, and their associated in-game variables impact the results of League of Legends matches? (Q2) How can machine learning algorithms be implemented to utilize descriptive and predictive analytics for League of Legends most effectively? Additionally, while not an element of the analysis and machine learning model, it is important …

Investigating The Costs And Economic Impact Of Flight Delays In The Aviation Industry And The Potential Strategies For Reduction, Ashmith Anupkumar

Electronic Theses, Projects, and Dissertations

This study addressed a critical issue in our travel life: flight delays. This study covers all aspects of a flight delay, from its causes and consequences to reduction strategies. The focused research questions were: To determine the outcome of flight delays in the aviation industry, to determine costs associated with flight delays for airlines, airports, and passengers, and to determine strategies for reducing flight delays in the aviation industry for robust findings. The findings for each question were as follows: the primary causes were overscheduling, airport hubbing, late check-ins, technical failure, etc. And the consequences were significant financial loss, the …

Healthcare Data Breaches: Analysis And Prevention, Nikita S. Dean

Electronic Theses, Projects, and Dissertations

It is evident that the healthcare sector continues to experience data breaches. This culminating experience project focuses on the need to maintain patient data privacy, minimize financial risks, and address public health concerns. The study examined data collected from U.S. Department of Health and Human Services from 2018 to 2023 to answer the following research questions: Q1. How many individuals are affected due to data breaches in healthcare & which States had the most affected individuals? Q2. What are the most common causes of healthcare data breaches & what measures can be taken to prevent this? and Q4. What are …

The Impact Of Covid-19 On Fan Attendance To Sports Events: The Case Of Major League Baseball, Alondra Aleman

Electronic Theses, Projects, and Dissertations

The COVID-19 pandemic impacted the world in 2020 causing nationwide lockdowns in many countries. During this time in 2020, the MLB shortened their regular season and played with no spectators in attendance. This project aims to provide insights into the impact of the MLB stadium closures on fan attendance. The research questions asked are: (Q1) How did MLB stadium closures during the COVID-19 lockdowns affect individual teams' attendance in the seasons after COVID-19? (Q2) What factors influenced MLB stadium attendance pre-COVID-19? (Q3) What factors influence MLB stadium attendance post-COVID-19? An empirical model was developed through recommendations from past studies. The …

The Role Of Organizational Support In The Relationship Between Safety Climate And Organizational Outcomes, Lee Chambers

Electronic Theses, Projects, and Dissertations

Organizations employing individuals in high-risk or safety-sensitive occupations (e.g., construction workers, commercial drivers, pilots, and oil rig workers) face the challenge of ensuring their employees’ safety and well-being amidst various hazards and dangerous situations. To address this, cultivating a positive safety climate has been identified as a crucial factor in reducing workplace accidents or injuries. However, despite its importance, the link between safety climate and non-safety outcomes remains underexplored in the literature. In response, this study proposed a model based on social exchange theory, which highlights the crucial role of organizational support in explaining the relationship between safety climate and …

The Effects Of Organizational Justice, Anneliese Yuenger

Electronic Theses, Projects, and Dissertations

The aim of the present study was to examine the perceptions of organizational justice on employee outcomes of work engagement, burnout, turnover intentions, and presenteeism. The study used survey data from 329 employees who worked over 30 hours per week in the last six months. Data were analyzed using SPSS 28 and Hayes PROCESS Macro to assess descriptive statistics, correlation, simple linear regression, and mediated path analyses. The results of the study found that perceptions of organizational justice (POJ) positively related to engagement. An inverse relationship was found for POJ, burnout, turnover intention, and presenteeism. Overall, engagement and burnout were …

A Systematic Literature Review Of Ransomware Attacks In Healthcare, Jasler Klien Adlaon

Electronic Theses, Projects, and Dissertations

This culminating experience project conducted a Systematic Literature Review of ransomware in the healthcare industry. Due to COVID-19, there has been an increase in ransomware attacks that took healthcare by surprise. Although ransomware is a common attack, the current healthcare infrastructure and security mechanisms could not suppress these attacks. This project identifies peer-viewed literature to answer these research questions: “What current ransomware attacks are used in healthcare systems? “What ransomware attacks are likely to appear in the future?” and “What solutions or methods have been used to prepare, prevent, and recover from these attacks?” The purpose of this research is …

Identifying Effective Attributes And Trends In The Evolution Of Enterprise Architecture In Healthcare, Brian Gaul

Electronic Theses, Projects, and Dissertations

The purpose of this study was to determine which attributes within existing Enterprise Architecture frameworks are trending in recent, successful implementations within healthcare. The research questions were: Q1. What attributes were used within Enterprise Architecture in the healthcare industry? Q2. What are the limitations of those attributes? Q3. How can those attributes assist in successful Enterprise Architecture implementations? To uncover these attributes in practical work, this study used a trend analysis of current qualitative data of the healthcare industry and in recent implementations. The findings were as follows: Q1. Eight attributes were identified in practical healthcare work, the two most …

Accounting And Financial Statements Auto Analysis System, Zhen Jia

Electronic Theses, Projects, and Dissertations

This project was motivated by the need to revolutionize the generation of financial statements and financial analysis process thus speeding up business decision making. The research questions were: 1) How can machine learning increase the speed of financial statement preparation and automate financial statements analysis? 2) How can businesses balance the benefits of automating financial analysis with potential concerns around privacy, data security, and bias? 3) Can the Java J2EE framework provide a reliable running environment for machine learning?

The findings were: 1) Machine learning can significantly increase the accuracy and speed of financial analysis. Using machine learning algorithms, financial …

Analysis Of Automated Vehicle Accidents Across The U.S., Anissa Rocio Quintero

Electronic Theses, Projects, and Dissertations

Car Accidents are a significant public safety hazard to everyone all over the world. Recently, car manufacturers have tried to implement Automated Driving Systems into their vehicles to help drivers and decrease the accident rate. This culminating project analyzed whether Automated Driving Systems have decreased or increased the accident rate in the United States using automated vehicle data collected by the National Highway Traffic Safety Administration. The analysis platform was built using RStudio and Excel. The research questions were: Q1: What amount of autonomous vehicle accidents occurred in each state between 2021 and 2022? Q2: What manufacturer and maker have …

Analysis Of Twitter User Covid-19 Vaccine Hesitancy: Cause And Solutions, Runze Song

Electronic Theses, Projects, and Dissertations

Reducing vaccine hesitancy is an essential public health & safety challenge worldwide, especially during the COVID - 19 pandemic. Governments and health safety agencies have noticed that social media can significantly influence people's sentiments and opinions about vaccinations. There is a lack of studies on the impact of social norms, herding effects, and social media influencers on people's sentiments and opinions about vaccinations. This culminating experience project extracted and analyzed Twitter data (2021 to 2022) using Twitter API and the RStudio AcdemicTwitterR package to study the impact of social norms, herding effects, and social media influencers on people's sentiments, emotions, …

Big Data For Comprehensive Analysis Of Real Estate Market, Yonglin Xiao

Electronic Theses, Projects, and Dissertations

This Culminating Experience Project explored the application of big data in the real estate industry in order to address the problem of analyzing the accurate property estimates value. The research questions were: (Q1): What are the benefits and advantages of utilizing big data in the real estate market? (Q2): What are the trends in the application of big data in the real estate market? (Q3): What are the challenges in applying big data in the real estate market? (Q4): What are the methods and processes of applying big data in appraisal of assets in the real estate market? To answer …

Novel Technologies And Their Effect On The Customer Journey: Customers' Sentiment With Tesla App, Andrew Jaymes

Electronic Theses, Projects, and Dissertations

This culminating experience project explores how novel technologies, such as artificial intelligence (AI), the Internet of Things (IoT), and virtual and augmented reality (VR/AR), impact customer experience. The customer journey framework was used to analyze customers' responses to interactions with novel Technologies integrated into Tesla electric vehicles. After gathering customer response data from the Tesla Motors subreddit page, we were able to score customer experiences with the Tesla app, over-the-air software updates, and full self-driving features, using the NRC sentiment lexicon. Our results showed customers tended to express more positive sentiments than negative sentiments when describing their experiences with these …

Analysis For An Efficient Operation Of Solar Power Plants In India Using Different Variables/Parameters, Sonal Bansi Shinde

Electronic Theses, Projects, and Dissertations

Vast renewable energy facilities rely heavily on accurate predictions of future solar power output.  This study investigated the various factors causing poor, inefficient operation of Solar Plants and different methods to identify underperforming equipment. The main questions are: Q1: How can we predict electricity generation over the next several days so that the plant can run at peak efficiency? Q2: How can we figure out the exact maintenance needs of any power plant?  Q3: How do we identify faulty equipment to improve its efficiency to improve overall performance? and Q4: What are the different factors that are causing an inefficient …

A Study Of Heart Disease Diagnosis Using Machine Learning And Data Mining, Intisar Ahmed

Electronic Theses, Projects, and Dissertations

Heart disease is the leading cause of death for people around the world today. Diagnosis for various forms of heart disease can be detected with numerous medical tests, however, predicting heart disease without such tests is very difficult. Machine learning can help process medical big data and provide hidden knowledge which otherwise would not be possible with the naked eye. The aim of this project is to explore how machine learning algorithms can be used in predicting heart disease by building an optimized model. The research questions are; 1) What Machine learning algorithms are used in the diagnosis of heart …

Improving India’S Traffic Management Using Intelligent Transportation Systems, Umesh Makhloga

Electronic Theses, Projects, and Dissertations

India is one of the largest developing countries in the whole world. There is an increasing trend in the number of vehicles on the roads of India. The increasing number of vehicles leads to rising congestion in large cities. The primary purpose of this project is to determine a proper strategy to solve some of the traffic problems in India like inadequate mass transit, time delays, and blockage on road causing mergers resulting in fatal injuries. The development of effective strategic terms for operating the traffic system of India will need the incorporation of Intelligent Transportation Systems. In this study, …

A Comparative Analysis Of Devices Via The Bluetooth Protocol In A Time Series Analysis, Joseph Vazquez

Electronic Theses, Projects, and Dissertations

The utilization of the Bluetooth protocol has provided many with the seamless transmission of data to multiple devices. Given its versatility and being an efficient process of connectivity, it has become one of the preferred methods of wireless connections. Despite this, an aspect of the Bluetooth function is still vulnerable to being exploited by having the data transmission stolen. This project answered the following questions: “How does one reduce the vulnerability by comparing normal and abnormal Bluetooth data?”, “How does one identify outlying variables within the data?” and “How can we improve the Bluetooth function?”. This project relied on previous …

Terms Of Service Agreement Contracts: An Overview Of Personal Risk Management And Recommendations For Enhancing User Awareness, Brenda Collazo Taylor

Electronic Theses, Projects, and Dissertations

This cumulative project will explore the personal risks involved when a user agrees to an online service’s Terms of Service (TOS) Agreement contract, especially when a user checks the “I Agree” box on an online service’s TOS. The key questions were: (1) What are the personal risks involved when a user clicks on the “I Agree” box on an online service TOS Agreement? (2) How are these risks co-related? and (3) How can end users mitigate risks after they have agreed to the TOS? To answer the questions, various TOS agreements were reviewed, and a poll was conducted asking a …

A Study Of Social Engineering Concepts Within A Deceptive Defense, Jacob Glenn Oedekerk

Electronic Theses, Projects, and Dissertations

Organizations fall victim to costly attacks every year. This has created a need for more successful layers of defense. To aid in this need for additional defense, this study researches a way to bolster an underused defense style called deceptive defense. Researchers agree that deceptive defense could be the future of cybersecurity, and they call for more research in the deceptive category. The unresolved question from these researchers is what attack style could be used with a deception-based defense against an attacker. From this unresolved question, it was also determined that social engineering should be used in this culminating experience …

Vehicles And Emissions, Stephanie Martinez

Electronic Theses, Projects, and Dissertations

Emissions have continued to change over the years, but how have they affected the environment and the health of individuals? To acquire more information on this topic this culminating experience project investigated the specific emission gasses that are released, the difference between emissions during the manufacturing and emissions during the life-time of the car, and the effects that emissions create on the environment and the population. The four research questions were: 1. What are the health effects on people who are exposed to emission gases? 2. What are the environmental effects when emission gases are released? 3. What part of …

From Fast Fashion To Sustainable Slow Fashion, Isabel Agatha Millward-Pena

Electronic Theses, Projects, and Dissertations

The objective of this thesis is to express a need for sustainability within the fast fashion industry, in the form of cultural movement that acts as alternative to the current means of production, consumption, and philosophies. Sustainability within current popular discourses is often human-centered and lacking authenticity, thus I aim to highlight an alternative that is opposite of that. In doing such, I bring to light the negative effects of the industry through a case study on the fast fashion company SHEIN, who claim to be making sustainable efforts. I analyzed SHEIN’s 2021 Sustainability and Social Impact Report (SSIR), focusing …

The Four Agreements Analysis Los Cuatro Acuerdos De Don Miguel Ruíz, Dulce Morales

Electronic Theses, Projects, and Dissertations

The Toltecs were an indigenous Mexican culture of great warriors and artists with a very unique wisdom on life and behavior, that lived around 1000 years ago. Their extended knowledge on life and behavior certainly can be of help on developing a great leader in any organization based on the four agreements they practiced to better themselves spiritually, emotionally and physically. Therefore, Don Miguel Ruiz did some research of the Toltecs Wisdom and learn more about these four agreements:

1. Be impeccable with your word.
2. Don’t take anything personally.
3. Don’t make assumptions.
4. Always do your best.

After learning how to apply …

Integration Of Blockchain Technology Into Automobiles To Prevent And Study The Causes Of Accidents, John Kim

Electronic Theses, Projects, and Dissertations

Automobile collisions occur daily. We now live in an information-driven world, one where technology is quickly evolving. Blockchain technology can change the automotive industry, the safety of the motoring public and its surrounding environment by incorporating this vast array of information. It can place safety and efficiency at the forefront to pedestrians, public establishments, and provide public agencies with pertinent information securely and efficiently. Other industries where Blockchain technology has been effective in are as follows: supply chain management, logistics, and banking. This paper reviews some statistical information regarding automobile collisions, Blockchain technology, Smart Contracts, Smart Cities; assesses the feasibility …

Cyber Security Vulnerability Assessment In Learning Management Systems, Mohammad Rabie

Electronic Theses, Projects, and Dissertations

With online learning becoming in high demand to deliver training and education during the COVID-19 pandemic, cybercriminals have more opportunities to take advantage of vulnerable Learning Management Systems to steal information like training materials, and students' private information, or they try to make easy money by deploying ransomware. Regardless of the cybercriminal motivation, the compromised system has consequences on the organization that affects it financially, legally, and reputationally. This requires the organization to invest in choosing the most secure LMS and apply the required security controls to avoid such consequences that may cost them much more than expected.

This project …

Phishing For All Ages, Rachana Vann

Electronic Theses, Projects, and Dissertations

Since the start of the pandemic in 2020 and the increase in teleworking, we have witnessed a subsequent increase in cyber-attacks. This project focused on the tools and techniques a teleworker should use to stay safe from online predators. An online predator or hacker is defined as someone who uses the internet to get access to proprietary information or seek a ransom. This project sought to introduce tools and techniques that would help people of all ages to stay safe online. The questions asked were: What techniques do online predators use to lure their unsuspecting victims? On the American Generation …

Evaluation Of Recommended Modular Email Building Approaches, Palak Sadhwani

Electronic Theses, Projects, and Dissertations

Customer relationship management acts as the backbone of marketing. For any company marketing is the most important sector to promote a company and attract customers. Email marketing is one of the most effective ways of digital marketing. However, the cost of design and development is time consuming and redundant. Marketers and project managers are frequently unassertive about how to solve these issues. Although there are blogs, articles and services available for marketing email development, the lack of research in the effectiveness of email building architecture bolsters the need for this study. The project presents an architecture that modularizes the way …