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Full-Text Articles in Business Analytics

The Nevada Innovation Economy And Federal Funding, Len Jessup, Sean Curry Oct 2026

The Nevada Innovation Economy And Federal Funding, Len Jessup, Sean Curry

Policy Briefs and Reports

This policy brief examines the nascent Nevada innovation economy and the funding capacity of the federal government. The analysis highlights how federal innovation programs have stimulated research, commercialization, and long-term economic development in Nevada. Using a multi-level framework encompassing technological, industrial, and spatial innovation, this policy brief documents how federal research funding, augmented by state programs and university infrastructure, has contributed to the formation of new research capabilities, seeded industry clusters and startups, and expanded workforce capacity. The findings suggest that federal resources have been productively deployed to date, generating significant scientific, economic, and social returns, but that more must …


A Machine Learning And Artificial Intelligence Sentiment Analysis Of Esg Disclosures, John Barnett Davis Aug 2026

A Machine Learning And Artificial Intelligence Sentiment Analysis Of Esg Disclosures, John Barnett Davis

Graduate Theses and Dissertations (2019 - present)

This dissertation examines whether environmental, social, and governance (ESG) disclosure sentiment extracted from SEC Form 10-K Item 1A risk disclosures aligns with Bloomberg ESG scores. The study combines SEC textual disclosures, Bloomberg ESG ratings, firm financial data, executive compensation data, and executive gender characteristics. Natural language processing and artificial intelligence methods, including FinBERT, Loughran-McDonald sentiment measures, BART-MNLI zero-shot classification, LLaMA-based ESG scoring, and readability analysis, are used to evaluate ESG-related disclosure signals. Results reveal that SEC 10-K Item 1A risk-factor sentiment and Bloomberg ESG scores represent related but distinct constructs. ESG sentiment in Item 1A is poorly aligned with third-party …


Innovation Hubs In Mountain West Cities, 2025, Cason Noll, Sean Curry, Olivia K. Cheche, Caitlin J. Saladino, William E. Brown Jr. Jun 2026

Innovation Hubs In Mountain West Cities, 2025, Cason Noll, Sean Curry, Olivia K. Cheche, Caitlin J. Saladino, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents data on 20 innovation-dense Mountain West cities across Arizona, Colorado, Nevada, New Mexico, and Utah. The CommercialCafe report, “Santa Clara, Berkeley & Tempe Lead Among Western Innovation Hubs,”  uses 15 indicators to rank 63 western cities for innovation hub activity across three categories: employment and talent, education, and business activity.


Uneven Ranks: Geographic Deepening Of The All-Volunteer Force, Christine Hogestyn May 2026

Uneven Ranks: Geographic Deepening Of The All-Volunteer Force, Christine Hogestyn

Master in Public Policy Theses

Who is enlisting in Fiscal Year 2025, and what state-level characteristics are associated with military enlistment rates, service selection, and recruit quality? This study documents the geographic landscape of U.S. military accessions during a period of recruiting recovery, filling a gap in the literature by providing a current, empirical description of who enlists and from where in today’s All-Volunteer Force. Drawing on personnel data from the Department of War, the U.S. Census and Bureau of Labor Statistics estimates, and a federal dataset of military installations, I analyze 203,987 new accessions across the Army, Navy, Air Force, and Marine Corps from …


The Impatience Of Winning: An Analysis Of Time Discounting, Predictive Modeling, And The Nba Draft, Alec R. Plante May 2026

The Impatience Of Winning: An Analysis Of Time Discounting, Predictive Modeling, And The Nba Draft, Alec R. Plante

Business and Economics Honors Papers

This paper examines whether NBA draft decisions can be better explained by incorporating non-geometric time discounting into a model of general manager decision making. Using a dataset of 285 NBA draft prospects over a 12-year period, the impact of college statistics on Value Over Replacement Player (VORP) is determined, and these impact values are then used to create a “predicted” VORP for the first 4 seasons of each player’s career: a projection of what a general manager might think of a prospect’s future value given their college statistics. Following this, geometric and hyperbolic time discounting models are applied to estimate …


Quantifying Overconsumption In The United States: A Multiple Linear Regression Analysis, Morgan Davis Apr 2026

Quantifying Overconsumption In The United States: A Multiple Linear Regression Analysis, Morgan Davis

Honors Projects

This study examines overconsumption in the United States by analyzing how socioeconomic factors influence household spending relative to income. Overconsumption is defined as elevated discretionary spending relative to income, with a focus on categories such as apparel, entertainment, and food away from home. Using 2024 Consumer Expenditure Survey (CEX) data, three multiple linear regression models were created to evaluate predictors of overall consumption, discretionary consumption, and apparel spending as proportions of income.

Results show that income is the most significant predictor across all models, with higher-income households consistently spending a smaller share of their income. Age and household size also …


Bibliometric Analysis Of Research On Women’S Labor Force Participation And Household Economics, Muhamad Dupi, Inayat Ullah Baloch Jan 2026

Bibliometric Analysis Of Research On Women’S Labor Force Participation And Household Economics, Muhamad Dupi, Inayat Ullah Baloch

Jurnal Ekonomi Kependudukan dan Keluarga

Studies of women labor participation (WLFP) and household economics have grown in size in the last two decades and more research and policy focus are given to gender equality, labor markets and household welfare. Nevertheless, the available literature is still in pieces by region, theme, and institutional settings and a complete bibliometric review of this area of study is yet to be done. The objective of the proposed study is to trace the world-wide literature on the topic of women participation in the labor force and household economics through the analysis of the patterns of publications, networks of cooperations, and …


Forecasting The Unpredictable: The Bullwhip Effect In The Toy Industry, Mannat Sethi Jan 2026

Forecasting The Unpredictable: The Bullwhip Effect In The Toy Industry, Mannat Sethi

CMC Senior Theses

This thesis investigates the bullwhip effect, the amplification of demand variability as it moves upstream in a supply chain, with a focus on the toy industry, and comparative analysis with the technology and consumer goods sectors. Using annual data from 1993 to 2024, the study analyzes production and retail growth for Mattel, Hasbro, Intel, and Procter & Gamble to assess how variance between consumer demand and firm output has changed over time. Bullwhip ratios are calculated as the variance of production growth divided by the variance of retail growth across two periods: 1993–2008 and 2009–2024.

The findings show that toy …


Women's Work And Wealth: Measuring The Impact Of Incremental Liberations, 1850-1870, Hannah Kelly Jan 2026

Women's Work And Wealth: Measuring The Impact Of Incremental Liberations, 1850-1870, Hannah Kelly

Williams Honors College, Honors Research Projects

Using a two-way fixed effects difference-in-difference model, this project analyzes data from the IPUMS Full Count census for 1850, 1860, and 1870 at a state level for 48 states. Four models assess the impact of property laws on women's real property holdings, labor force participation, household types, and real property values.

By quantifying the impact of various legal reforms on women's economic empowerment, this project fills a gap in the understanding of the intersection between law, society, and women's economic agency during a transformative period in pre-industrial American history. These impacts can implicate the effectiveness of legislative measures in advancing …


The 2025 Pakistan Floods: Investigating The Human, Agricultural, And Economic Collapse, Abdullah Khan Dec 2025

The 2025 Pakistan Floods: Investigating The Human, Agricultural, And Economic Collapse, Abdullah Khan

MSJ Capstone Projects

This project examines the 2025 Pakistan floods as a multidimensional climate disaster that triggered severe human, agricultural, and economic consequences. Moving beyond event-based reporting, the study examines how climate change, weak governance, poor infrastructure planning, and delayed institutional responses intensified the scale of destruction. Using investigative journalism methods, the project combines field reporting from flood-affected areas, in-depth interviews with displaced communities, local activists, and experts, and analysis of official data and policy documents. The findings reveal widespread displacement, loss of livelihoods, food insecurity, and long-term social vulnerability, particularly among marginalized rural populations. Agricultural collapse emerged as a central concern, threatening …


The Conditional Nature Of The Value Premium: Interaction And Cross-Sectional Evidence Across Market Regimes, Samuel L. Klein Dec 2025

The Conditional Nature Of The Value Premium: Interaction And Cross-Sectional Evidence Across Market Regimes, Samuel L. Klein

Honors Thesis

This thesis examines why value-based investment strategies generate strong returns in some environments yet weaken or collapse in others. Regressions test whether the performance of the book-to-market ratio depends on the investor’s perception of financial health as defined by F-Score and accruals. Across additive regressions, interaction models, cross-sectionals, and heatmap visualizations, a consistent mechanism emerges. The book-to-market effect is strongest when financial information is neither highly reliable nor severely distressed. In these “moderate-quality” environments, investors struggle to fully distinguish the transitory components of earnings from their persistent counterparts. This makes valuation ratios particularly influential. Accrual intensity and financial strength jointly …


Notes From The Editor, Jay Nathan Dec 2025

Notes From The Editor, Jay Nathan

Journal of Global Awareness

No abstract provided.


Letter From The Editor, Jay Nathan Dec 2025

Letter From The Editor, Jay Nathan

Journal of Global Awareness

No abstract provided.


The Artificial Intelligence (Ai) Economy In The Mountain West, 2025, Dre Boyd-Weatherly, Sean Curry, Krish Sharma, Kristian Thymianos, William E. Brown Jr. Dec 2025

The Artificial Intelligence (Ai) Economy In The Mountain West, 2025, Dre Boyd-Weatherly, Sean Curry, Krish Sharma, Kristian Thymianos, William E. Brown Jr.

Economic Development & Workforce

This fact sheet reports on the artificial intelligence (AI) readiness of five Mountain West metropolitan statistical areas (MSAs): Phoenix-Mesa-Chandler, AZ; Salt Lake City-Murray, UT; Denver-Aurora-Centennial, CO; Las Vegas-Henderson-North Las Vegas, NV; and Albuquerque, NM. Using data from the Brookings Institution's “Mapping the AI Economy” report, the MSAs are benchmarked based on their overall population, employment, talent, adoption, and innovation.


Is Complexity Virtuous?, Ryan Elmore, Jack Strauss Nov 2025

Is Complexity Virtuous?, Ryan Elmore, Jack Strauss

Business Information and Analytics: Faculty Scholarship

(Kelly et al., 2024) show that increasing complexity in linear models, with potentially thousands of predictors, is "virtuous". Their work contradicts the dogma of model selection, including the Principles of Parsimony and Occam's Razor. They find that when the number of predictors far exceeds the number of observations, the bias-variance trade-off breaks down, the variance declines, and the Sharpe ratio increases. In the context of ridge regression, we find that very high complexity coupled with large penalty terms (excessive shrinkage) generate forecasts that converge to a rolling window of past returns. For example, we show the past twelve-month moving average …


Investigating The Relationship Between Noun Classes And Plant Folk Taxonomy In Chasu Language Of Kilimanjaro Region In Tanzania, Peter Rabson Mziray Nov 2025

Investigating The Relationship Between Noun Classes And Plant Folk Taxonomy In Chasu Language Of Kilimanjaro Region In Tanzania, Peter Rabson Mziray

Journal of Humanities and Social Sciences

The current study investigates the relationship between noun classes and plant folk taxonomy in Chasu (G 22). The study focuses on two objectives: the first objective is to describe the plant folk taxonomy in Chasu and the second objective is to determine the relationship between noun classes and plant folk taxonomy in Chasu. Data were collected from rural villages in Same and Mwanga districts by using free listing, field interviews (jungle-walk-and-identify), and written texts containing Chasu plant names. The findings reveal that Chasu folk taxonomy reflects different ethnobotanical categories; including a unique beginner which is mmea/mimea ‘plant(s)’, and three life …


Understanding Film Tax Credits In Nevada And Nationally, Michael J. Brown, David F. Damore, William E. Brown Jr. Oct 2025

Understanding Film Tax Credits In Nevada And Nationally, Michael J. Brown, David F. Damore, William E. Brown Jr.

Policy Briefs and Reports

This policy primer provides an overview of Nevada’s transferable tax credit program for film and other productions and reviews articles, reports, audits, and studies of film tax credits as a tool for economic development in the United States. This review considers a significant body of work analyzing the use of film tax credits in support of economic development. Studies and state audits often show that because film tax credits do not create the number and quality of full-time jobs necessary to merit their costs and do little to stimulate other related industries, they are a poor financial choice for state …


Does Idiosyncratic Volatility Follow A Random-Walk? Evidence From U.S. Stocks, Zihan Cao, Ossama Elhadary Oct 2025

Does Idiosyncratic Volatility Follow A Random-Walk? Evidence From U.S. Stocks, Zihan Cao, Ossama Elhadary

Publications and Research

In asset pricing literature, idiosyncratic volatility (IVOL) measures the firm-specific risk that is not explained by broader market movements. In this study, I investigate whether the idiosyncratic volatility (IVOL) of individual stocks follows a random-walk. Using monthly residuals from the Fama-French three-factor model (Fama & French, 1993), I estimate IVOL for more than 11,000 U.S. stocks, and apply the Augmented Dickey-Fuller test (Said & Dickey, 1984) to determine whether IVOL behaves like a random-walk. While most stocks display random-walk behavior, the proportion varies across industries, with some sectors showing deviations from random-walk behavior. Stocks with different levels of average return …


Federal Funding In The Mountain West, 2021-2024, Isabelle G. Graham, Olivia K. Cheche, Caitlin J. Saladino, William E. Brown Jr. Sep 2025

Federal Funding In The Mountain West, 2021-2024, Isabelle G. Graham, Olivia K. Cheche, Caitlin J. Saladino, William E. Brown Jr.

Elections & Governance

This fact sheet presents data on the number of federal funding awards granted to the five Mountain West states of Arizona, Colorado, Nevada, New Mexico, and Utah between 2021 and 2024. These awards include investments authorized under major federal legislation such as the Inflation Reduction Act (IRA), CHIPS and Science Act, and Bipartisan Infrastructure Law (BIL), among other programs tracked by Invest.gov. The One Big Beautiful Bill Act (OBBBA) will see funding for these programs sunsetted (terminated as the above legislation expires).


Analisis Dampak Kebijakan Insentif Fiskal Terhadap Tingkat Komponen Dalam Negeri (Tkdn) Industri Manufaktur Di Indonesia, Muhammad Muhammad, Riyanto Riyanto Sep 2025

Analisis Dampak Kebijakan Insentif Fiskal Terhadap Tingkat Komponen Dalam Negeri (Tkdn) Industri Manufaktur Di Indonesia, Muhammad Muhammad, Riyanto Riyanto

Jurnal Kebijakan Ekonomi

Over the last decade, the manufacturing sector's contribution to Indonesia's economy has declined. In 2010, it was 29.10% of GDP, but by 2022, it had dropped to 19.14%. Employment in the sector also fell, from 14.91% of the workforce in 2010 to 13.80% in 2022. To reverse this trend, the government introduced a policy to boost the Domestic Component Level (DCL) in manufacturing. By offering fiscal incentives to industries meeting certain DCL targets, the government aims to drive economic growth and job creation. A study using BPS data from 2008-2019 shows that this policy raised DCL by 23.5%.


Customer Lifetime Value: Dimensionalities And Conceptual Connections, Sharmistha Bhattacharyya, Mrinmoy Kumar Sarma Jun 2025

Customer Lifetime Value: Dimensionalities And Conceptual Connections, Sharmistha Bhattacharyya, Mrinmoy Kumar Sarma

Markets, Globalization & Development Review

Customer Lifetime Value (CLV) has a strong relationship to customer satisfaction and firm profitability . This review indicates that once such a relationship is developed and cemented, multiple benefits accrue to the brand and the firm. The review lays the groundwork for further studies of CLV, especially in the emerging economies.


The Startup Ecosystem In Southern Nevada: Growth, Energy, And Emerging Entrepreneurship In 2025, Len Jessup, Sean Curry Jun 2025

The Startup Ecosystem In Southern Nevada: Growth, Energy, And Emerging Entrepreneurship In 2025, Len Jessup, Sean Curry

Policy Briefs and Reports

The startup ecosystem in Southern Nevada has undergone significant transformation during the past decade, evolving from a fragmented and nascent environment into a dynamic and increasingly coordinated landscape. This study examines the growth of the Southern Nevada startup ecosystem, analyzing key components such as funding sources, incubators, accelerators, and public-private collaborations. Utilizing both quantitative and qualitative data, including investment trends, economic impact reports, and interviews with over 100 stakeholders, this policy brief provides a comprehensive assessment of the strengths and gaps within the ecosystem. Key findings indicate that while the region has made substantial progress, particularly in fostering early-stage investments …


Understanding Household Financial Stability: Examining The Effects Of Inflation And Income, Cyndy E. Gutierrez-Fierros May 2025

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 May 2025

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 …


Mortgage Default Classification Modeling For Variable Analysis, Brendan R. Goggins Apr 2025

Mortgage Default Classification Modeling For Variable Analysis, Brendan R. Goggins

Honors College Theses

The financial crisis of the early 2000’s is a prime example of the severe consequences that mortgage default and borrower insolvency can have on economies at large. Mortgage default specifically is a prime case with the popularization of mortgage backed securities and the commonality of this loan structure. Multiple hypotheses and models have been formed to understand the reasons, causes, and consequences of mortgage default. This paper uses both machine learning and statistical classification models to inform an understanding of the variables most significant and impactful to the default outcome of mortgages. Consideration is given to both loan-level microeconomic variables …


Impact Of Foreign Remittances, Foreign Direct Investment And Financial Development On Human Development Of Selected Asian Countries, Sumra Khalid, Ayesha Rehan, Bushra F. Malik Mar 2025

Impact Of Foreign Remittances, Foreign Direct Investment And Financial Development On Human Development Of Selected Asian Countries, Sumra Khalid, Ayesha Rehan, Bushra F. Malik

Accounting, Business Analytics, Economics, and Finance Department Faculty Articles

Foreign remittances play a contributing role in determining the growth potential of the nations of the world. Considering its significant role, the existing research has analyzed the major factors affecting the economic growth of some selected Asian nations. The data was utilized from 2005 to 2020 in some selected Asian countries. Human development was used as the dependent variable. However, foreign remittances, financial development and foreign direct investment, trade openness and labor force participation rate were taken as independent variables. The OLS regression results indicated that foreign remittances, foreign direct investment, and financial development led to enhanced nations' human development. …


Assessing The Readiness And Awareness Of Key Stakeholders In The Egyptian Maritime Industry To Implement Smart Green Port Practices: A Case Study Of Alexandria Port, Mohamed Elhussieny, Ahmed El Kassar, Kareem Tonbol Jan 2025

Assessing The Readiness And Awareness Of Key Stakeholders In The Egyptian Maritime Industry To Implement Smart Green Port Practices: A Case Study Of Alexandria Port, Mohamed Elhussieny, Ahmed El Kassar, Kareem Tonbol

Blue Economy

This study explores the readiness and preparedness of the major stakeholders within the Egyptian maritime sector towards the adoption of smart green port practices, with particular consideration given to Alexandria Port. With growing environmental threats, the need to support sustainable maritime operations is high. The study evaluates the current state of the ecosystem at Alexandria Port and benchmark it against international standards to highlight the critical gaps that should be covered for the effective execution of smart green port approaches. The results indicate that, although stakeholders have basic knowledge of sustainability issues, large perceived barriers, particularly regarding resource availability, limited …


Just As Advertised: The Perception And Effectiveness Of Artificial Intelligence In Digital Advertising, Brandon Isem Cáceres Jan 2025

Just As Advertised: The Perception And Effectiveness Of Artificial Intelligence In Digital Advertising, Brandon Isem Cáceres

CMC Senior Theses

What do you think when you hear “AI in advertising”? Does it spark intrigue, or does it feel like just another tech buzzword? In today’s fast-paced digital marketing landscape, connecting with consumers is a high-stakes challenge, and artificial intelligence is at the forefront of innovation. From automating campaigns to creating hyper-targeted content, AI promises efficiency and precision—but how do audiences perceive this shift? By analyzing key performance indicators (KPIs) like impressions, click-through rates, and cost-per-click in an an original A/B test, this thesis evaluates the perception and effectiveness of AI-driven advertising strategies. Combining historical insights, case studies, and an original …


Women On Boards Annual Monitoring Report 2024, Center For Entrepreneurship And Innovation Jan 2025

Women On Boards Annual Monitoring Report 2024, Center For Entrepreneurship And Innovation

Faculty Books

The AUC Egypt women on boards monitoring report is issued annually to track and monitor the presence and representation of women on boards towards meeting the goal of having 30% women on boards by 2030. The importance of improving representation of women on boards stems from the fact that it is one of the good governance pillars, in addition to the positive impact on firm performance and profitability. The National Strategy for the Empowerment of Egyptian Women 2030 has accordingly promoted for increasing the leadership roles of women and holding key positions in public institutions and companies, setting the target …


An Economic And Production Analysis Of Seaweed Farms In California And The Pacific Northwest, Brian Donovan Jan 2025

An Economic And Production Analysis Of Seaweed Farms In California And The Pacific Northwest, Brian Donovan

Cal Poly Humboldt theses and projects

Since the early 2010s, the seaweed aquaculture industry has steadily expanded in the United States, with states like Alaska, Maine, Hawaii, and Connecticut leading the way in the development of this emerging sector. However, information gaps remain concerning certain aspects of the domestic seaweed aquaculture industry. The purpose of this study was to examine the status of the seaweed aquaculture industry along the West Coast of the United States; specifically in the states of California, Oregon, and Washington. Seaweed farmers in these states were invited to voluntarily complete surveys asking important production, economic, and commercial questions regarding their operations. Data …