Business Analytics Commons^™

The Impact Of The Covid-19 Pandemic On National Hockey League Fan Attendance, Ramon E. Rivera

Electronic Theses, Projects, and Dissertations

The COVID-19 pandemic struck swiftly around the world, causing several societal functions and normalcies to adapt or shut down completely. This culminating project explores the effects of COVID-19 on arena fan attendance of the National Hockey League (NHL). This project was guided by the following three research questions: Q1 – How did the NHL arena closures affect fan attendance during the COVID-19 pandemic? Q2 – What factors influenced NHL fan arena attendance before the start of the COVID-19 pandemic? Q3 – What factors impacted the NHL arena fan attendance after the conclusion of the COVID-19 pandemic? An empirical model developed …

Sustainabilty Reporting And E-Waste Management In The Electronic Industry, Sai Prasad Pochampally

Electronic Theses, Projects, and Dissertations

The rapid expansion of the electronic and electrical equipment (EEE) industry has led to a critical surge in electronic waste (e-waste), which is currently growing at an annual rate of 4%. E-waste contains hazardous substances such as mercury, cadmium, and lead, which contribute significantly to environmental degradation and pose serious health risks—particularly in low- and middle-income countries where proper recycling infrastructure is lacking. In response, electronics manufacturers increasingly rely on Environmental, Social, and Governance (ESG) reporting frameworks to demonstrate transparency and accountability. However, a significant gap persists between what companies choose to report and what stakeholders—particularly consumers—expect to see.

This …

Challenges The Sporting Industry Faced During Covid-19 On Fan Attendance: The Case Of The National Basketball Association, Marlon Long

Electronic Theses, Projects, and Dissertations

This culminating experience project investigates the challenges the sporting industry faced during the COVID-19 pandemic, with a focused look at the National Basketball Association. The research questions are: (Q1) How did the NBA arena shutdowns impact fan attendance for each team during the COVID-19 pandemic? (Q2) What factors influenced NBA arena attendance before the COVID-19 shutdowns? (Q3) What factors influenced NBA arena attendance after the COVID-19 shutdown? The data collected includes all 30 NBA teams from 2019 through the 2024 seasons. The research questions were analyzed using multilinear regression analysis and comparison of attendance data over 6 seasons including the …

Understanding Household Financial Stability: Examining The Effects Of Inflation And Income, Cyndy E. Gutierrez-Fierros

Electronic Theses, Projects, and Dissertations

This study aims to investigate the impact of inflation on US household financial stability from 2013 to 2023. As inflation rises, individuals’ purchasing power erodes leading to influence economic behaviors. Behaviors such as spending, saving, and borrowing should be a priority concern in the US economy. Results of this study reveal that inflation does not affect financial well-being and its direct impact on household stability is statistically weak. Regression testing shows that income emerges as the most significant factor. Most noticeably income influences savings and debt management in a positive way. As per these results, economic policies should be focused …

Leveraging Data Analytics For Enchanced Economics Prediction: A Study Of Predictive Models And Economics Indicators, Janelle Rueda

Electronic Theses, Projects, and Dissertations

The purpose of this project is intended to investigate the lack of use of data analytics in predicting and managing the impacts of economic crises. This project investigates what economic key factors can be used to create a framework model and evaluate the effectiveness of the key economic indicator being tested as early warning signs. The project uses programs such as Excel, RStudio, and Tableau for the collection of historical data, and regression analysis to determine if certain economic indicators have a statistically significant correlation with GDP, that may help enforce systems in place to help us mitigate economic crises …

Identification Of Distressed Real Estate Properties Using Natural Language Processing/Machine Learning, Pavithra Sirigiri

Electronic Theses, Projects, and Dissertations

The Real Estate industry is a great asset class that involves constructing, buying, and selling property. Although technology has made significant progress in buying and selling real estate properties online, via Zillow and Redfin, the ways to find distressed real estate properties as an investment opportunity seem to be lacking. This culminating experience project explored how to use machine learning to classify a property as distressed or non-distressed. The research questions are: Q1. How can Natural Language Processing methods like Latent Dirichlet Allocation (LDA) be leveraged to identify distressed and non-distressed real estate properties? (Tijare & Rani, 2020) and Q2. …

The Practical Adoption And Application Of Blockchain Technology Within The Beverage Industry, Alexander Adams Jr

Electronic Theses, Projects, and Dissertations

Abstract

The beverage industry is facing heightened scrutiny as the demand for transparency and accountability reaches new heights. In the age of information technology, companies must prioritize enhanced traceability to ensure product safety, comply with government regulations, maintain customer trust, and protect brand integrity. This thesis explores the potential of blockchain technology as a solution to these challenges, focusing on its ability to decentralize data, improve traceability, and expedite response times during safety recalls. The research provides an overview of the evolution of food safety regulations, beginning with the first establishment by Upland Sinclair, and examines current traceability practices and …

Using Ai Tools To Unmask Sarcasm, Sidra Tehniyath Lnu

Electronic Theses, Projects, and Dissertations

Sarcasm can be identified in newspaper headlines in digital communication, as it is contextual and has low inter- and intra-observer reliability. This research aims to improve sarcastic comment identification using a natural language processing approach, especially the BI-LSTM. The primary concern is to use fine-tuning methods to enhance the ways that strengthen the sarcasm identification rate, which regards the factors that complicate an automatic identification process. The study explores the impact of techniques such as early stopping, optimal loss function selection, and hyperparameter tuning to enhance the model's performance. The research questions are: Q1) How can fine-tuning techniques for BI-LSTM …

Challenges The Sporting Industry Faced During Covid-19 On Fan Attendance: The National Football League, Tinika Hughes

Electronic Theses, Projects, and Dissertations

When COVID-19 struck, the world was in disarray for any sporting event. The Culminating Experience Project investigated the impact of COVID-19 on the National Football League (NFL). The research questions were: Q1: How were the NFL stadium attendances impacted before the COVID-19 closures (2016 – 2019)? Q2: How were the NFL stadium attendances impacted due to closures during the COVID-19 stadium closures (2019 – 2021)? Q3: How were the NFL stadiums impacted post-COVID-19 (2021 – 2023)? The data collected covers all 32 NFL teams from 2019 to 2023, including attendance rates on and off the field influencing factors.

The findings …

Understanding The Dynamics Of Chatbot Design, Transparency, And Ethical Implications In Customer–Brand Relationship In Hospitality And Tourism Industry, Shakera Parveen

Electronic Theses, Projects, and Dissertations

This culminating experience project investigated the impact of chatbot interactions on customer perceptions, ethical considerations, and transparency within the hospitality and tourism industry. The research questions are: Q1: how do the specific visual and verbal aspects contribute to shaping customer perceptions within the context of chatbot marketing efforts? Q2: what steps can companies take to address and mitigate ethical concerns surrounding interactions with chatbots? Q3: To what extent does the level of transparency and explainability in chatbot interactions influence customer trust and satisfaction? The findings are: Q1: the study revealed that visual and verbal aspects of chatbot design significantly shape …

Impact Of Seasonality On Demand Forecasting Techniques For Small-Scale Food Retailers, Indu Sree Guturu

Electronic Theses, Projects, and Dissertations

This study explores the impact of seasonality on SKU (Stock Keeping Unit) demand forecasting in small-scale food retailers through the analysis of historical sales data, focusing on four key products, labelled: Product A, Product B, Product C & Product D. The research aims to assess the accuracy of different forecasting models in capturing seasonal fluctuations. The research questions are: (Q1) What is the impact of seasonality on SKU demand forecasting in case of small-scale food retailers. (Q2) How does the efficacy of Traditional model compare to alternative technologically driven forecasting techniques? (Q3) To what extent can the impact of seasonality …

An Exploration Of Synergy Evaluation Application Model To Support Implementation On Merger And Acquisition, Jieping Mei

Electronic Theses, Projects, and Dissertations

ABSTRACT

The project focuses on a comprehensive system’s analysis and design of the front-end of the Synergy Evaluation Application Model (SEAM) system for mergers and acquisitions (M&As). The research questions asked are: Q1. How did the SEAM system incorporate the system requirements and design that incorporated the strategic goals and priorities of both the acquirer and the acquiree? Q2. What data sources will the SEAM system rely on, and how does it overcome data integration, automation, visualization challenges? Q3. How will the model identify build in potential synergies, both quantitative and qualitative? The research questions were analyzed through the SEAM …

Effectiveness Of Cnn-Lstm Models Used For Apple Stock Forecasting, Ethan White

Electronic Theses, Projects, and Dissertations

This culminating experience project investigates the effectiveness of convolutional neural networks mixed with long short-term memory (CNN-LSTM) models, and an ensemble method, extreme gradient boosting (XGBoost), in predicting closing stock prices. This quantitative analysis utilizes recent AAPL stock data from the NASDAQ index. The chosen research questions (RQs) are: RQ1. What are the optimal hyperparameters for CNN-LSTM models in stock price forecasting? RQ2. What is the best architecture for CNN-LSTM models in this context? RQ3. How can ensemble techniques like XGBoost effectively enhance the predictions of CNN-LSTM models for stock price forecasting?

The research questions were answered through a thorough …

Data-Driven Forecasting For Effective Demand Management In The E-Commerce Ecosystem, Chirag Pandey

Electronic Theses, Projects, and Dissertations

This culmination project investigated and analyzed the impact of factors influencing sales forecasting models in the e-commerce ecosystem. The research questions are: Q1) To what extent are sales forecasting models in the e-commerce ecosystems influenced by customer demographic variables such as gender, age, and geographic locations? Q2) To what extent are sales forecasting models in the e-commerce ecosystems influenced by product specific factors? The datasets used were from Kaggle, and the Worldometer websites. The findings are: Q1) Individuals aged '55 or over' significantly impact total sales in both the USA and Brazil. Male consumers consistently accounted for a higher proportion …

Association Between Food Insecurity And Chronic Health Condition Among Adults (18 To 48), Prasanth Reddy Guda

Electronic Theses, Projects, and Dissertations

Uncertainty or limited access to safe food, known as food insecurity, can affect the health and healthcare needs of individuals with several chronic conditions. During 2022, 12.8 percentage (around 17.0 million) of households in the United States experienced food insecurity. The main objective of this study was to examine the Association between food insecurity and chronic health conditions adults. We collected data from NHIS 2022 sample Adults’ Interview (The National Health Interview Survey). The research question asked are: (Q1) Are there certain long term health issues that are more common among adults facing food insecurity age in between the ages …

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 …

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 …

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 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 …

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 …

Human Resource Information Systems: Implementing Data Analytics Techniques In Human Resource Functions, Prachi Tembhekar

Electronic Theses, Projects, and Dissertations

This project investigated analytical techniques used by organizations across many industries for HR functions, and how data analytical techniques can help HR departments work efficiently. The goal was to look into the obstacles and opportunities that companies have when using HR analytics as a tool in their businesses. This project used secondary data acquired from earlier research articles, journals from the years 2016 to 2019, blogs, and websites to investigate theories and applications of HR analytics. It also examined the need of analytics to assist HR leaders in thinking about the implications of these technologies in future work and how …

Supply Chain Management Integration With Blockchain, Venkat Veramallu

Electronic Theses, Projects, and Dissertations

Maintaining the integrity of data within the supply chain is a challenge. Many current implementations lack a capability to provide a trustworthy system for the stakeholders in a supply chain, making communication amongst stakeholders easy but unreliable. Organizations are considering blockchain technology as it provides access control, immutability, transparency and trust amongst the stakeholders in a supply chain. This project is an investigative study on the benefits and challenges of implementing blockchain technology in supply chain management, a framework for integration of blockchain technology, and a project prototype which shows a blockchain use case implementation in supply chain management. The …

Integration Of Internet Of Things And Health Recommender Systems, Moonkyung Yang

Electronic Theses, Projects, and Dissertations

The Internet of Things (IoT) has become a part of our lives and has provided many enhancements to day-to-day living. In this project, IoT in healthcare is reviewed. IoT-based healthcare is utilized in remote health monitoring, observing chronic diseases, individual fitness programs, helping the elderly, and many other healthcare fields. There are three main architectures of smart IoT healthcare: Three-Layer Architecture, Service-Oriented Based Architecture (SoA), and The Middleware-Based IoT Architecture. Depending on the required services, different IoT architecture are being used. In addition, IoT healthcare services, IoT healthcare service enablers, IoT healthcare applications, and IoT healthcare services focusing on Smartwatch …

Rise Of Facebook, Amazon, Apple, Netflix, Google During Covid-19 Pandemic, Shivraj Pisal

Electronic Theses, Projects, and Dissertations

FAANG is an acronym for Facebook, Apple, Amazon, Netflix, and Alphabet (which was previously known as Google), the five most important technology giants in the United States. The technology breakthroughs of these companies have had a significant impact on global economies, since they create jobs, link people, supply goods, and generate entertainment. As a result, a detailed analysis of FAANG stocks adds to the existing body of knowledge. Furthermore, because stock markets are very volatile and are influenced by a variety of known and unknown causes, it is vital to employ adequate tools for assessing their behavior (Jadhav et al., …

Impact On Revenue Generation Of Olist Ecommerce Company On The Basis Of Various Product Parameters, Trupti Sanjay Niwate

Electronic Theses, Projects, and Dissertations

E-commerce business is the most trending business in the entire world. Due to the COVID-19 pandemic, the global market of e-commerce is much more active than the traditional in-store market. Over the period, people used the internet more, which has incentivized them to shop online because it saves time and effort.

Specifically, in Latin America, the E-Commerce business is expanding at a tremendous rate. In particular, Brazil is a major business hub when we consider an e-commerce business since it has given a major impact on the world‘s total e-commerce business. Olist, the main e-commerce company which helps other marketers …

Stock Market Forecasting Based On Artificial Intelligence Technology, Yuzhun Liang

Electronic Theses, Projects, and Dissertations

This culminating experience project used artificial intelligence (AI) technology to forecast and analyze the stock market and construct complex nonlinear relationships between the input data and the output data. This project used a radial basis function neural network to forecast and analyze the stock market data. Compared the radial basis function neural network performance with the feed-forward neural network and clearly showed the superiority of the radial basis function neural network over the feed-forward neural network in the data processing. The results showed that AI technology could effectively predict stock market performance. Based on the results, the conclusion is that …

Overcoming The Challenges Of Big Data Analytics Adoption For Small And Medium Sized Enterprises In The Manufacturing Industry, Jolon Koppmann

Electronic Theses, Projects, and Dissertations

Advanced manufacturing technologies that enable big data analytics can boost productivity, increase efficiency, and enhance innovation. However, small and medium sized factories face unique challenges when implementing that technology. Plant managers of small and medium sized enterprises (SMEs) are often unsure of how to overcome those challenges in order to reap the benefits of big data analytics. This project examined the opportunities that have arisen due to the Fourth Industrial Revolution, also known as Industry 4.0; how small and medium sized manufacturers in the United States can move from traditional methods of manufacturing to advanced manufacturing, and how the additional …

Online Strategies For Small Businesses Affected By Covid-19: A Social Media And Social Commerce Approach, Julianne Itliong

Electronic Theses, Projects, and Dissertations

The Covid-19 pandemic has altered the way many US citizens work, live, and interact with one another. Many rules and regulations have been put in place by government officials to slow the spread of the virus because of how contagious it is in social settings. Because of these rules and regulations, many small businesses were forced to temporarily close their doors to the public in order to comply with the rules of social distancing and the ban on large gatherings. For some businesses, this shift from physical sales to digital sales has always been a part of their business models, …

Docs_On_Blocks – A Defense In Depth Strategy For E-Healthcare, Saad Mohammed

Electronic Theses, Projects, and Dissertations

With the increase in the data breaches and cyber hacks, organizations have come to realize that cyber security alone would not help as the attacks are becoming more sophisticated and complex than ever. E-Healthcare industry has shown a promising improvement in terms of security over the past, but the threat remains. Thus, the E-Healthcare industries are aiming towards a Defense in Depth Strategy approach.

The project here describes how a Defense in Depth Strategy for E-Healthcare system can provide an environment for better security of the data and peer-to-peer interaction with stakeholders. The legacy systems have at some point failed …

Email Data Breach Analysis And Prevention Using Hook And Eye System, Shubhankar Jayant Jathar

Electronic Theses, Projects, and Dissertations

Due to the recent COVID-19 outbreak, there were a lot of data leaks from the health sector. This project is about the increase in data breach incidents that are taking place. In this project, There is an analysis of different types of breaches that are found online and are practiced to steal valuable information. Talking about different aspects that lead to data breaches and which are the main sector or main epicenter for data leaks. The analysis tells that most of the data breaches are done using emails and to overcome this limitation a system has been designed that will …