Business Analytics Commons^™

Shelf Space Strategy In Alcoholic Beverage Retail: Analyzing The Impact Of Shelf Facings On Sales Performance And Consumer Behavior, Jesse Core

Dissertations

The alcoholic beverage industry faces intense competition and regulatory constraints, making strategic shelf space management critical. This study investigates the impact of shelf facings on sales performance in the alcoholic beverage sector, focusing on how brand size moderates this relationship.

The study collected data from a regional supermarket chain in Arkansas using a quantitative pretest-posttest control group design. It found that increasing shelf facings for smaller brands significantly enhances overall modular sales, with small brand sales persisting even after reverting to their original facings. Moreover, the analysis reveals that brand size significantly moderates the impact of shelf facings on brand …

The Impact Of Rising Interest Rates, Bank Deposit Betas, And Credit Risk, Abby Craig, Jarrett Grose, Justin Tersoglio, Noah Vanhoy, Brooke Vivenzio

James Madison Undergraduate Research Journal (JMURJ)

Inflation of the U.S. dollar drove the Federal Reserve Board to enact four interest rate hikes of 0.75% and additional smaller hikes between March 2022 and April 2023. This paper examines how interest rate hikes affect bank deposit betas and credit risk for community banks, hot money banks, and alternative lending institutions based on data from March 2022 to April 2023. After analyzing data from the Federal Reserve Economic Database, this research found that bank deposit betas increase as interest rates rise, that community banks’ betas increase at a slower rate than hot money banks’ betas, and that the level …

Pooling And Winsorizing Machine Learning Forecasts To Predict Stock Returns With High-Dimensional Data, Erik Mekelburg, Jack Strauss

Finance: Faculty Scholarship

We evaluate US market return predictability using a novel data set of several hundred ag- gregated firm-level characteristics. We apply LASSO, Elastic Net, Random Forest, Neural Net, Extreme Gradient Boosting, and Light Gradient Boosting Machine methods and find these models experience large prediction errors that lead to forecast failures. However, winsorizing and pooling machine learning model forecasts provides consistent out-of-sample predictability. To assess robustness, we apply machine learning methods to high-dimensional data for Canada, China, Germany and the UK as well as the Goyal-Welch data. All machine learning models we consider, except for the ensemble pooled methods, fail to significantly …

The Piranhas: Endgame Of Banking In Indonesia, F. Mario Andaru, Bambang Hadinugroho

Journal of Global Business Insights

Neobank is a form of financial technology innovation that offers banking services without a branch office. This is a form of disruption in the banking industry. Therefore, this paper aims to look at the phenomenon regarding the shift in the banking industry due to the presence of neobanks and, at the same time, question whether this is the beginning of the extinction of conventional banking. Based on an analysis of the literature on fintech and digital banking from research, case studies, and news media in both English and Indonesian, this study discusses research related to neobank trends disrupting the conventional …

Advancing Sustainable Investing: A Deep Learning Model For Multi-Source Stock Prediction, Hongxuan Yu, Tingting Zhang, Murat Kizildag

Journal of Global Business Insights

The burgeoning role of the stock market within the national economy elevates the importance of precise stock price analysis and prediction, a field that has garnered substantial interest in academic research. Stock price fluctuations, influenced by many factors, including company fundamentals, market sentiment, capital flows, industry news, and macroeconomic policies, present a highly dynamic and complex challenge for predictive modeling. Addressing this challenge, our study introduces an innovative method that capitalizes on the synthesis of news text and stock price data for forecasting market movements. We employ GloVe embeddings to capture semantic nuances from news text and integrate them with …

Adapting Agile Principles For Digital Media Startups, Chukwudi Ukonne

Harrisburg University Dissertations and Theses

This paper explores the adaptation of Agile Project Management principles to address the unique challenges faced by media startups and digital news ventures. Operating in fast-paced and dynamic environments, these entities require flexible project management approaches to respond to evolving landscapes and rapidly changing audience demands. Drawing on existing literature and empirical studies, the paper critically analyzes the application of Agile methodologies in media contexts, examining factors influencing successful Agile transformation and the implications for project outcomes. Additionally, the paper provides a review of theories such as Agile Manifesto and Scrum, providing insights into their origins, main arguments, and applications …

Unveiling Key Features: A Comparative Study Of Machine Learning Models For Alzheimer's Detection, Cailean Bushnell

All Graduate Reports and Creative Projects, Fall 2023 to Present

This thesis rigorously evaluates the application of an array of natural language processing (NLP) techniques and machine learning models to identify linguistic signatures indicative of dementia, as sourced from the DementiaBank Pitt corpus. Utilizing a binary classification paradigm, this study meticulously integrates sophisticated embedding methods—including Doc2Vec, Word2Vec, GloVe, and BERT—with traditional machine learning algorithms such as Random Forest, Multinomial Naïve Bayes, ADA boost, KNN classifier, and Logistic Regression, alongside deep learning architectures like LSTM, Bi-LSTM, and CNN-LSTM. The efficacy of these methodologies is evaluated based on their capacity to differentiate between transcribed speech impacted by dementia and that from control …

How Variations In Health Status Influence Retirement Decisions?, Elham Parvizi Cherri

All Theses

Retirement date decisions are crucial for seniors. It is influenced by financial situation, health status, family conditions, planning for the rest of the life, etc. While some literature emphasizes economic well-being as a critical determinant, recent research suggests that health status is a more significant factor in retirement decisions. This thesis explores how variations in health status influence retirement decisions using panel data from the Health and Retirement Study (HRS). Building on the extensive use of HRS data in previous studies, this research expands their approaches and methodologies. Both subjective and objective health variables are utilized to address the potential …

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 …

Introduction To Programming And Applied Analytics Using Python, Matt Brown

ATU Faculty OER Books and Materials

This open electronic textbook is a collection of lecture notes, assignments, and additional background material for a junior level analytics course targeted for business students, it is free to use and copy. The text assumes readers have not had prior programming or computing courses, but have had at least one analytics course. The textbook differs from other textbooks because it serves a dual purpose, to first introduce to students the Python programming language and secondly to introduce analytics programming in Python. It is not meant to be a comprehensive book on the Python language or data analytics, rather a semester’s …

Zero Textbook Cost Syllabus For Cis 3920 (Intro To Data Mining), Lawrence Cohen

Open Educational Resources

To successfully compete in today’s global business environment an organization must constantly monitor, recognize, and understand every aspect and every issue of its operations, its industry, and the overall business environment. This course focuses on data mining and understanding the steps of a data mining project from both a business and technical perspective.

Students will actively participate in this course through class discussions, project preparation and presentation, and hands-on labs. We cover both supervised and unsupervised data mining techniques for tasks like targeted mailing campaigns, customer segmentation, customer churn, fraud-detection, and market basket analysis.

In this course, I encourage students …

Construction And Empirical Study Of Competitive Identification Framework Based On Patent Information, Daobin Gao, Hong Wu, Zhijie Li

Journal of Scientific Information Research

[Purpose/significance]To enrich the identification methods of competitors in competitive intelligence strategies under the new situation, and provide decision support for enterprises to formulate technology competition strategies in complex and ever-changing market competition environments. [Method/process]This article using patents as data sources, construct a framework for identifying competitors and conduct empirical research.Firstly, based on the LDA model, identify the main technological research and development directions of the target enterprise and determine the set of candidate competitor enterprises; Secondly, construct a two-dimensional strategic coordinate based on technology and market similarity, and divide the candidate competitor combination of the target enterprise into direct, indirect, …

Do Fundamental Financial Ratios Affect The Company's Stock Price? Indonesia Evidence, Arumega Zarefar, Armadani Armadani

Jurnal Akuntansi dan Keuangan Indonesia

The objectives of this research aims to examine the effect of corporate fundamental financial ratios on stock prices and to examine whether firm age determine stock prices in the perspective of signaling theory. Here Generalized Least Squares (GLS) approach was used as the main analysis technique, and Ordinary Least Squares (OLS) was incorporated for the robustness test. The research was conducted on companies listed on the Indonesia Stock Exchange during the 2014-2020 period. This study finds that return on assets, solvency ratio, and Tobin's Q positively affect stock prices, that cash ratio has a negative effect on stock prices, and …

The New China Model: Combating Economic And Political Order, Jack R. Swords

Dartmouth College Master’s Theses

Contemporary world politics centers around the actions of the two largest powers on Earth, the United States and China. They are both each other’s greatest adversary yet at the same time are each other’s largest trading partners. This thesis explores the nature of China’s economic climate that has seen it grow to one of the world’s foremost powers. However, the East Asian Nation faces economic challenges centered around the three D’s: Debt, Deflation, and Demographics. This thesis analyses what the nature of these challenges are and how China is responding to them within the ever-advancing world of economic and political …

Business Capstone Review: Analysis Of Startups In Technology And Artificial Intelligence, Grayson Hoffman

University Honors Theses

This is a review of the Portland State University's business capstone course. The team was engaged by the client to reach certain goals and deliverables. Key to this project was immense research on startups within the Technology and Artificial Intelligence industry. Information was communicated with the client throughout the project to ensure client relevancy. The research was then used to perform an analysis to measure the potential of startups being a good fit with the client's goals. Upon completion of the project, the team will have presented a full report summarizing the research as well as the final recommendation list …

Experimental Methods In Predicting Market Drift And Other Portfolio Optimization Factors Using Graph Theory, Perry Harrison Zhang

Computer Science Senior Theses

No abstract provided.

Investment Strategies Of Gcc Sovereign Wealth Funds: Aligning National Development And Geopolitical Goals, Roy Conners

Theses and Dissertations

This thesis examines how Gulf Cooperation Council (GCC) Sovereign Wealth Funds (SWFs) prioritize and implement investment strategies in the context of national development and geopolitical dynamics. Using a qualitative case study approach, it analyzes the assets, key industries, leadership, and historical evolution of major GCC SWFs (ADIA, Mubadala, ADQ, QIA, and PIF) based on publicly made available information.

The findings show that GCC SWFs prioritize investments in strategic sectors, geographical destinations, and the private sector. These investments align closely with their respective national development plans, such as 'We the UAE 2031', Qatar National Vision 2030, and Saudi Arabia’s …

Predicting Language Proficiency Using A Multiple Regression Model, Madisen Barrieau

Senior Honors Theses

Businesses that design language learning products have a common goal to impart language proficiency to users. Many variables play a role in reaching language proficiency, including time spent in study, method of learning, use of technology, motivation, and more. This study involved creating several multiple regression models in R on a dataset featuring many of these variables. This research sought to identify the relative weight and measurability of these variables unto the goal of predicting language proficiency. Several regression models were created, and the best model showed that language similarity and length of residence in target culture, among other factors, …

Utilizing Extreme Value Theory To Uncover Yield Distributions From Farm And County Level Historical Corn Yields, Gerald H. Van Tassell

Department of Agricultural Economics: Dissertations, Theses, and Student Research

Yield risk represents a major portion of the financial risk facing corn producers and is found in the left tail of the yield distribution. Traditional methods for generating yield distributions fall into two categories: parametric and non-parametric. The shape and behavior of the tail of parametric yield distributions are determined by distributional assumptions. Non-parametric distributions fail to account for the possibility of as yet unseen extreme events, often referred to as “Black Swans”. Extreme Value Theory (EVT) rectifies these issues by providing an empirical, parametric estimate of the risk of extreme events, regardless of the underlying distribution of corn yields. …

Enhancing Customer Support Operations Through Gpt & Q-Learning: A Model Study, Adam Alidra, Bob O'Brien, Dalton Young

SMU Data Science Review

Abstract. “Growth strategies that are purpose-led, customer-centric, experience-driven, data/AI-enabled, and technology-scaled require new mindsets…” (Cornfield, 2021). What can we take from this? Business growth and customer experience are inextricably tied together. Therefore, thriving, as an organization, is dependent on reimagining enterprise operations through modern, scalable data and AI technologies. Our study aims to enhance support operations with emerging AI capabilities, including OpenAI’s LLM models, built on self-attention mechanism transformer architecture, and tailored for business needs through prompt engineering. Our research uses Markov Decision Process and the Q-learning algorithm to evaluate synthetically created support incidents. Through this set of methods, our …

Institutional Pilot Changes Lead To A Reduction In Emergency Department Boarding Patients, Rohan Akhouri, Jennifer Watts, Christopher S. Kennedy, Kelly A. Sinclair, Bethany Bolt, Ashley Daly

Research Days

Background: Crowding and boarding pediatric emergency departments (ED) is an ongoing problem associated with a mismatch in resources and patient care demands. ED boarding can be defined as a patient admitted to an inpatient unit who remains in the ED. ED boarding occurs when there is limited availability of inpatient bed space – either due to patient volume or decreased staffing. ED boarding is associated with adverse events, and increased mortality. Few studies address the impact of inpatient strategies on ED boarding. The objective of our study was to evaluate hospital-based strategies within a single institution and their effect on …

Financial Assessment Of Executive Decision-Making And Risk Management: A Case Study Of Autozone, Carolina Hollis

Honors Theses

This area of investigation pertains to the business organizational structure, executive summary, and risk management decisions of AutoZone within the 2022-2023 fiscal year. This analysis was performed by examining previous financial records, the yearly 10-K report, and various research databases regarding the financial performance of retail auto part companies. Many different sources were used to gather information about AutoZone. AutoZone has an intricate financial system that maintains the going concern by addressing current issues within the financial world to combat problems they could face in the future. These risk factors include inflation, interest rates, energy prices, political climates, and supply …

Financial Accounting Case Studies, Porter May

Honors Theses

In this thesis, a series of case studies are presented, which were undertaken as part of the ACCY 420 course during the 2022-2023 academic year. The cases encompass a diverse range of subjects, including but not limited to Environmental Social Governance (ESG), audit risks, and tax planning strategies. Additionally, contemporary events such as the downfall of Silicon Valley Bank and the financial market crisis of 2008 were scrutinized. The studies involved both individual and collaborative efforts to gather substantial evidence. The first five cases concentrate on the analysis of Flowers Foods and its financial standing. A team of five students, …

A Collection Of Accounting Case Studies, Danielle Gonsoulin

Honors Theses

Over the course of a year, I performed case studies on various economic and financial topics and events. For the first half of the year, I worked in a group with three of my peers to develop audit, advisory, and tax plans for a publicly traded company named Agilysys. We evaluated economic conditions and the company’s financial and nonfinancial data to determine what areas both internally and externally the company can target in order to improve its operations. Once the four case studies were written and reviewed, we created a slideshow and presented our ideas on Zoom to a group …

Case Study: The Strategy, Implementation, And Financial Performance Of The Bank Of North Dakota, Muhammad Umar Farooq, Faruk Arslan, Donovan Fuqua, Victor Pimentel

Mountain Plains Journal of Business and Technology

This case study seeks to investigate the factors enabling the survival of the Bank of North Dakota (BND), which is the only operational state-owned bank in the United States, and its implications on North Dakota economy's well-being. Since its foundation in 1919, the BND's mission has been to "promote agriculture, commerce, and industry in North Dakota." (Mission, Vision, Core Values, n.d.) This case explores the corporate strategy, its implementation, and the financial performance of the Bank of North Dakota from 2017-2021. By employing a case-study method, this paper draws on analysis and the comments of several elected representatives of North …

A 360-Degree Approach To Accounting, Kaleel Salloum Iii

Honors Theses

This thesis consists of one year of research related to the modern day accounting and financial industry. There are numerous topics that are covered, with the first four sections being related to one company’s financial statements and operating conditions. Each of these sections includes their own abstract that outlines the scope of the research. The remaining parts of the thesis are topics, events, and industries related to modern day accounting. This research was completed and submitted to the faculty of The University of Mississippi in partial fulfillment of the requirements of the Sally McDonnell Barksdale Honors College.

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 …

The Artificial Intelligence Revolution, Alexander Summers

Management Undergraduate Honors Theses

This thesis covers the innovation of AI and the impact it is having in the workplace.

Go Green Or Go Viral?, Kimberly Silva-Nash

Supply Chain Management Undergraduate Honors Theses

Our society has been altered by the proliferation of social media. Viral marketing and influencer marketing have increased the amount of products that dramatically increase in popularity, in other words - go viral. These trend cycles have led to the consumption of businesses that are not as moral as they seem. Has society replaced the priority of buying from good-willed businesses with buying from businesses that give them that new trendiest item? Has society lost its morality in purchasing concerning these trends?