Business Commons^™

Effects Of Cultural Holidays On Online Shopping And Advertising: A Comparative Study Between Usa And India, Manikanta Gattu

Electronic Theses, Projects, and Dissertations

ABSTRACT

In cultural holidays, an exponential increase in sales in online platforms as compared to sales during the regular season is expected. This study aims to compare the effect of cultural holidays on online shopping and advertising in India and USA in 2023. According to Hofstede’s second dimension regarding Individualism and Collectivism, most of the US people take shopping decisions individually and whereas in India people will take suggestions from others and collectively shop online. Research questions are: (Q1) How do cultural holidays effect online shopping in USA as compared to India? (Q2) How do different cultural holidays affect Online …

Traffic Analysis Of Cities In San Bernardino County, Sai Kalyan Ayyagari

Electronic Theses, Projects, and Dissertations

This research offers an in-depth analysis of vehicular traffic within San Bernardino County, California, aiming to spotlight congestion areas and suggest improvements for more efficient and sustainable transportation. Leveraging 2021 data from StreetLight Data, traffic patterns in 15 key cities were examined based on their population sizes, covering various vehicle types to dissect dynamics and flow. The methodology focused on analyzing trip purposes and metrics to calculate Vehicle Miles Traveled (VMT) and its influence on congestion and environmental factors.

Findings indicate considerable disparities in traffic volume, purposes, and timings across different urban areas, with population density and intercity connections significantly …

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 …

Study Of Brain Tumor Prediction By Using Machine Learning, Vishaya Ummaneni

Electronic Theses, Projects, and Dissertations

Technological advancements in deep learning and machine learning have greatly improved the diagnosis and analysis of medical images. This culminating experience project utilized the EfficientNetV2B3 model to predict brain tumors. The research questions are: (Q1) Does the study's deep learning model perform better than current methods when it comes to predicting brain tumor? (Q2) How much does the model's performance change when using different optimizers such as Adagrad, Adam, and SGD? (Q3) Can the regularization method, such as dropout, enhance the neural network model's generalization? The findings are as follows: (Q1) Yes; the EfficientNetV2B3 model performs better than current methods. …

Investigating The Potential Of Augmented Reality In Creating A Sense Of Place On College Campuses, Linda White

Electronic Theses, Projects, and Dissertations

This project examines how designing an augmented reality (AR) campus navigation app can improve college students' sense of place and connection with California State University, San Bernardino (CSUSB). To guide the design of the app, I engaged in qualitative research using a curated campus walk protocol that invited students to walk to their favorite place on campus and record their walk while narrating it.

My analysis reveals the larger patterns that students use to select favorite places and favorite routes to those places, as well as how space navigation may lead to the formation of a sense of connection with …

Standardization Of Blockchain In Finance - Comparing Common Standards, Shakeh Ghazaryan

Electronic Theses, Projects, and Dissertations

Blockchain technology, originating from Bitcoin's inception in 2008, has garnered significant interest across various industries, particularly finance. With the global blockchain market projected to reach $39.7 billion by 2025, the imperative for standardization to ensure trust, security, and compatibility across diverse blockchain implementations is evident. This culminating experience project focused on answering the following question: How can standardization be effectively navigated to facilitate the adoption and implementation of blockchain technology in financial institutions?

The key findings are as follows: (a) there is a need to explore the many challenges encountered in standardization efforts, including (i) regulatory compliance, (ii) consensus building, …

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 …

Automatic Speech Recognition For Air Traffic Control Using Convolutional Lstm, Sakshi Nakashe

Electronic Theses, Projects, and Dissertations

The need for automatic speech recognition in air traffic control is critical as it enhances the interaction between the computer and human. Speech recognition helps to automatically transcribe the communication between the pilots and the air traffic controllers, which reduces the time taken for administrative tasks. This project aims to provide improvement to the Automatic Speech Recognition (ASR) system for air traffic control by investigating the impact of convolution LSTM model on ASR as suggested by previous studies. The research questions are: (Q1) Comparing the performance of ConvLSTM with other conventional models, how does ConvLSTM perform with respect to recognizing …

Impacts Of Energy Price Cap System On Electricity And Gas Prices In The Era Of Energy Crisis, Jyothi Swaroop Chava

Electronic Theses, Projects, and Dissertations

29 million households in the United Kingdom (UK) use Energy Price Cap and the UK government spend about 43 billion dollars a year which is 1.7 percent of the GDP in subsidizing the energy price cap subsidies to the households and businesses. The energy prices in the UK have seen a significant rise in the past few years for distinct reasons. This culminating experience project explains the mechanism of the energy price cap used for the household energy supply in the UK and how it has been affected between the years 2022 to 2024. The research questions are: (Q1) How …

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 …

Truck Traffic Analysis In The Inland Empire, Bhavik Khatri

Electronic Theses, Projects, and Dissertations

This study undertakes a meticulous examination of truck traffic within the Inland Empire, focusing on the distribution and dynamics of medium and heavy-duty vehicles, to advocate for the region's transition to electric trucks. Utilizing advanced spatial analysis and data from Streetlight Data, it segments the region into six subregions, revealing distinct traffic patterns and environmental impacts. Notably, the research uncovers that the North Center and West zones, integral to the logistics and warehousing sectors, exhibit the highest traffic volumes, significantly influencing air quality and infrastructure.

Quantitative results from 2021 illustrate a pronounced disparity in truck activity: medium-weight vehicles accounted for …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 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 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 …

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 …

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 …

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, …

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 …

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 …

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 …