Business Intelligence Commons^™

Rivian Automotive Strategic Audit, Bruno Salles

Honors Program: Senior Projects (Public)

This thesis provides a comprehensive analysis of Rivian Automotive, a pioneering electric vehicle (EV) manufacturer, focusing on its background, performance, challenges, and future outlook. Founded in 2009 by Robert "RJ" Scaringe, Rivian embarked on a mission to revolutionize the automotive industry with its innovative EV offerings, driven by a commitment to performance, utility, and sustainability. The company's journey from inception to its Initial Public Offering (IPO) in 2021 and subsequent challenges amid the global semiconductor chip shortage and market dynamics are examined. A detailed PESTEL analysis evaluates the political, economic, social, technological, environmental, and legal factors influencing Rivian's operations and …

Impact Of Leadership In Project Management, Ian Wegh

Information Systems Undergraduate Honors Theses

Today’s business environment demands effective project management for enterprises to meet their goals and continue to be innovative. Inherently, this also means that project managers must have strong leadership skills. Project management provides a framework of techniques that provides a symbiotic relationship between both the framework and the leader. The idea behind project management is to complete objectives efficiently within a certain time period given a restricted number of resources. This means project management is a process of principles, tools, and methodologies used to effectively manage a team through the System Development Life Cycle. The System Development Life Cycle (SDLC) …

Developing And Modernizing Small Businesses In Dangriga, Belize, Abby Teague

Management Undergraduate Honors Theses

This thesis evaluates the effectiveness of the Small Business Development project located in Dangriga, Belize, and includes research on the challenges of entrepreneurship in developing countries. The project consisted of research and the implementation of marketing workshops to teach businesses how to manage their online and social media presence through the Belize Tourism Industry Association (BTIA) Dangriga. The impact of the project was significantly important because many Belizeans struggle to survive and succeed within their businesses. Belize contains multiple microenterprises that cannot meet their potential because of a lack of knowledge and communication. Overall, the project aims to give BTIA …

The Shocking Future Of Artificial Intelligence Across A Variety Of Industries, Collin Elek Boone

Management Undergraduate Honors Theses

Artificial intelligence is a huge phenomenon that has begun to take over worldwide media. The abilities that AI has already proven to be capable of will undoubtedly change the world in a variety of ways. In the future, however, it is possible that AI will have an impact on nearly every sector imaginable. With the success that companies such as OpenAI and Microsoft have already displayed regarding artificial intelligence, it is clear that this software has immense capabilities. The purpose of this study is to conduct research detailing the potential impact of AI on industries within the business sector and …

Balancing Perspectives: Assessing The Integration Of Ai In Academic Support Within Higher Education, Sami Ali

2024 Spring Honors Capstone Projects - Archive

The rapid advancement of A The rapid proliferation of Artificial Intelligence (AI) across various sectors highlights its transformative potential, yet its integration into educational settings raises ethical concerns, particularly regarding its misuse by students. This study conducts a detailed sentiment analysis and systematic literature review to examine the diverse perspectives on AI within education, from both academic and non-academic viewpoints. Utilizing advanced data mining tools to analyze sentiments and trends, this research reveals a complex landscape where optimism about AI’s capabilities is tempered by concerns over ethical implications and potential misuse. The findings contribute to the dialogue on leveraging AI …

Spatiotemporal Negative Inventory Outlier Decomposition For Supply Chain Applications In Consumer-Packaged Goods (Cpg), Hayden Mcdonald

Data Science Undergraduate Honors Theses

Coca-Cola is a popular soft drink brand with sales occurring in every Walmart store across the world, which generates large quantities of data and requires a robust supply chain system. However, the company does not currently have a sophisticated, automated, and/or prescriptive system for detecting where, when, and why inventory outages occur and applying preventative measures to avoid loss of revenue from the absence of inventory on store shelves. This thesis proposes and applies a novel, prescriptive system for this purpose. An inventory outage can be seen as a ‘negative’ statistical outlier in a time series of inventory for an …

Artificial Intelligence In Finance: Transforming Decision-Making And Risk Management For Enhanced Financial Outcomes, Bryce Layn

Finance Undergraduate Honors Theses

The impact of artificial intelligence on the financial sector is evaluated in this study, focusing on its management of financial risk capabilities and its role in creating tailored banking experiences. AI's rapid evolution has brought unprecedented capabilities, raising questions about human adaptability to these developments in finance. The thesis will conduct further research on how AI manages financial risks and navigates regulatory frameworks and potential mismanagement. Multiple companies will be investigated to showcase their diverse capabilities, with each one highlighting unique characteristics and contributions to the AI finance landscape. This Thesis presents a comprehensive summary of the evolving financial industry, …

Lululemon Strategic Audit, Tessa Mozingo, Olivia Eno, Molly Mitchell, Connor Morrissey, James Eshleman

Honors Program: Senior Projects (Public)

This case study focuses on lululemon, a prominent athleisure apparel company. Our team conducted an audit of the company revolving around strategic business management principles. Our research used publicly available information that included the company’s website, SEC filings, news articles, lululemon’s annual reports, financial statements, IBIS industry reports, and online sources. The goal of this strategic audit is to develop an understanding of lululemon’s business activities and strategies, collect and analyze both internal and external data, and evaluate lululemon based on strategic management concepts.

In this strategic audit, we conduct internal, external, performance, and competitive analyses and an examination of …

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 …

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 …

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 …

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 …

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. …

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 …

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 …

The Implications Of Artificial Intelligence On Junior Auditors, Kaye Ragasajo

Senior Honors Theses

The aim of this paper is to explore the evolving intersection of financial statement auditing and artificial intelligence (AI). A timeline of AI adoption in auditing is traced, detailing its impact on audit processes and the contemporary role of junior auditors. Challenges faced by junior auditors are identified, with an emphasis on the potential benefits and ethical concerns surrounding AI integration. Recommendations for adapting to AI's emergence and addressing challenges are provided. The analysis underscores the need for industry-wide collaboration, regulatory adjustments, and the cultivation of digital ethics. As AI continues to reshape auditing, future trends expected within the profession …

Experts-Driven Design: A Framework For Measuring Social Influence In Online Social Networks, Shyamala N. Chalakudi, Dildar Hussain Dr., Gnana Bharathy Dr, Dakshinamurthy Kolluru Dr

AMTP Proceedings 2024

In our interconnected and ever-changing social landscape, influence is pivotal in molding individuals’ decisions, perspectives, and behaviors. Measuring Social Influence (SI) in Online Social Networks (OSNs) faces significant gaps, notably needing more integration with human behaviors. Our literature review has unveiled twelve psychological theories rooted in human behavior that are fundamental for assessing SI in OSNs. We have further elucidated how human behaviors interact in shaping the influence potential of social media users through exploratory interviews with experts from consulting, industry, and academia. Our study culminated in developing a novel framework designed to encompass the intricacies that not only nurture …

Standard & Poor's Capital Iq Netadvantage Revised, Michele Costello

Publications and Research

Standard & Poor’s (S&P) Capital IQ NetAdvantage is an integrat- ed Web-based market intelligence platform. NetAdvantage offers global news, market analytics, counterparty analytics, fund analyt- ics, industry research, powerful screening tools, and people search capabilities, offered separately in many competitor products, un- der one platform using transparent and trusted industry-standard sources. Users can analyze the global business operating environ- ment with information on public markets and indices, basic in- formation on foreign exchange rates and interest rates, sovereign profiles, peer groups generated with S&P Capital IQ’s proprietary relevancy score, and detailed CFRA Industry Research Reports. The streamlined interface with mostly …

Meme Stocks, Robinhood, And Wall Street: Retail Investors And Changing Market Dynamics, Nick Murray, Spencer Brosnan

Senior Theses

This thesis explores the rise of retail investors in the wake of the COVID-19 pandemic, and how they have changed the landscape of financial markets. We outline the full timeline of the GME and AMC social media craze that exemplified the power of retail investors in the market and investigate the impact the COVID-19 pandemic had on this group. Through the use of VandaTrack, a software that tracks retail investors’ trading activity, we were able to quantify the impact that retail investors have on US equities and ETFs and compare them to the market as a whole. We utilized this …

Guinness Is The "Pumpkin Spice Latte" Of St. Patrick's Day, Jin-A Choi, Bond Benton, Yi Luo

College of Communication and Media Scholarship and Creative Works

This study by a team of faculty from the Joetta Di Bella and Fred C. Sautter III Center for Strategic Communication in the School of Communication and Media at Montclair State University shows that Guinness was the most-discussed brand on social media leading up to St. Patrick’s Day, and not just in the traditional ways people share how they drink the popular beer brand. The volume of social media conversations related to Guinness beer and St. Patrick’s Day saw a 25% increase. Most social chats exhibited a happy mood as evidenced by a 62% joyful sentiment.

While the Shamrock Shake …