Management Sciences and Quantitative Methods Commons^™

Simple Determinants Of Commercial Bank Failures, Matthrew Qi

Undergraduate Economics Working Paper Series

This study investigates the internal and macroeconomic determinants of commercial banking failures in the United States spanning 1959 to 2025. Using a logit model and a four-quarter lag, two models are estimated: a comprehensive model (1985–2025) and an extended panel model (1960–2025). Empirical results reveal internal CAMELS metrics are primary determinants of survival; profitability and capital adequacy defends against failures, while asset quality deterioration and management inefficiencies accelerates failure. The “too big to fail” paradigm is empirically validated. Contractionary monetary policy and labor market stress increase failure probabilities. Real GDP growth exhibits a role shift predicting commercial bank failures.

The Structural Limitations Of Mining Output Growth In Nevada, Mckinley Brown, Emma Kitchen

Undergraduate Economics Working Paper Series

This study compares short and long trends in Nevada to the production output within the mining industry. Nevada produces around 70% of the United States gold and about 15% of the world's critical minerals. From its position as one of the most resource rich mining regions globally to its emergence as a growing economic hub, mining played a central role in Nevada's economy. However, despite the industry’s importance, Nevada still faces inefficiencies in production output due to insufficient attention to key inputs such as labor, infrastructure, technology, and energy resources.

Las Vegas Casino Revenue In An Expanding Gambling Market, Kaden A. Villa-Real

Undergraduate Economics Working Paper Series

This study examines whether expanding gambling substitutes disrupt the Las Vegas gambling industry using quarterly data from 2014 through 2025. Las Vegas casino revenue is used as the benchmark to gauge the health of Las Vegas, adjusted to Quarter 1 2014 dollars and using an OLS regression model. The results imply that online sports betting is a poor substitute for Las Vegas revenue, while online gambling shows a positive and statistically significant relationship with revenue. The findings indicate that Las Vegas is resilient despite the introduction of more competition and gambling alternatives within an industry it has traditionally known to …

Gambling Behaviors: How Do Gambling Losses Affect Future Wagers?, Ashley Talavera, Hannah Lopez Ibarra, Roman Rozbitskyy

Undergraduate Economics Working Paper Series

This study looks at how previous gambling losses affect future betting behavior in online cryptocurrency gambling markets. Using roughly 50,000 real betting observations from Bustabit, the paper tests whether gamblers become more aggressive after losses or instead pull back and bet more cautiously. Using both OLS and Fixed Effects regression models, the results show that players generally reduce their wager sizes following losses rather than engage in strong loss-chasing behavior. After controlling for individual player tendencies, the Fixed Effects models show statistically significant decreases in future bet sizes after losses, suggesting that caution and loss aversion may play a larger …

Crowding In Private Capital For Climate Adaptation In India, Shreya Bajaj

Master in Public Policy Theses

Reports show that India is highly vulnerable to climate change. Mitigation efforts alone cannot address these risks, and adaptation remains essential. Yet while much of the existing literature documents the adaptation finance gap, it offers less practical guidance on where private capital can realistically be used and what institutional arrangements are needed to make it work. This paper tries to address that gap in the Indian context.

This paper examines three adaptation finance use cases through which private capital could support climate adaptation and resilience in India: parametric disaster risk transfer, pooled municipal finance, and water fund. For each issue, …

Nfts And The Value Of Provenance On Digital Art, Jessica Scheld, Pamila Dembla, Stef Nicovich

Atlantic Marketing Association Proceedings

No abstract provided.

The Nexus Between Sustainable Banking, Customer Trust, And Bank Loyalty In The Bangladeshi Banking Industry: A Structural Equation Modelling Approach, Rashed Mahmud Shakil, Md. Ashfikul Islam, Md Raihatul Islam Hridoy

Business Review

The increasing customer demand for environmentally-friendly practices makes adoption of sustainable banking (SB) strategies a great opportunity for banks wanting to ensure greater loyalty among their customers. However, the impact of SB on bank loyalty (BL) of customers in the Bangladeshi banking sector is limited in the scholarly literature. Thus, the present research investigates the association between SB and BL and the intervening influence of customer trust (CT) in this association. The proposed research model was developed based on the Social Exchange Theory. The research utilized a purposive sampling technique and employed data obtained through 230 questionnaires distributed amongst customers …

The Influence Of Digital Audit Capability On Tax Compliance In Tanzania, Henry Zeno Chalu, Daudi Deokari Mtena

Business Management Review

The research evaluates the effects of digital audit capacity on tax compliance in Tanzania, focusing on challenges such as tax avoidance and administrative inefficiency. It applies the Task-Technology Fit Theory and Deterrence Theory in tax audit to examine the relationship between digital audit capability and tax compliance. The findings show that digital audit capability has significantly enhanced tax compliance through data integrity, security, and analytical capability. These features minimize misreporting, secure financial information, and build trust while uncovering predictive insights. The current study also has implications for tax policy by highlighting the promise of digital audit capability in enhancing both …

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 …

Escaping The Promotion Trap: A Machine Learning Framework For Brand Equity Preservation In Beverage Cpg, Lucas P. Jones

Data Science Undergraduate Honors Theses

When companies acquire beverage brands, they typically value them based on total sales revenue. This traditional approach treats all sales equally over time, whether they are driven by genuine consumer demand or temporary discounts. This is important because while promotions can boost short-term sales, they tend to erode brand value over long periods of time. The measurement problem extends to acquisitions, where buyers lack the tools to distinguish real consumer demand from artificial promotional inflation.

This thesis develops a framework to separate genuine baseline demand from promotional dependence using Nielsen scanner data covering 189 beverage brands across 188,304 weekly observations …

The Push-Pull Model's Function In Understanding Public Sector Workers' Inter-Organisational Labour Mobility: The Views Of The Herzberg Two-Factor Theory, Rosemary Selestine Massae

Business Management Review

In the modern world, one of the challenges managers have in maintaining their talented staff is labour mobility. Inter-organisational labour mobility (ILM) has been found to be significantly influenced by co-worker relationships, work-family conflict, monetary compensation, and training and development. The pull-push paradigm was inspired by human migration. Since migration not only symbolises movement across physical locations but also encompasses other routine duties, theory is essential to comprehending ILM. However, to date, no existing study has tested the model under the influence of Herzberg’s Two-factor Theory, in explaining ILM uses the public sector as a major setting of the question …

The Effects Of Ai Adoption On Digital Entrepreneurial Intention: A Meta-Analysis, Xandra Precious Okori

Theses and Dissertations

AI adoption and its widespread use have sparked debates about the future of work, job displacement, and the evolving entrepreneurial landscape. While AI is often seen as a threat to traditional employment, research shows that this emerging technology is more likely to change task structures rather than eliminate entire occupations or industries. This shows that there are new entrepreneurial opportunities, particularly digital, that potential entrepreneurs can venture into. This thesis uses a meta-analytic approach to study the relationship between AI adoption and digital entrepreneurial intention, addressing inconsistencies in current research.

Following PRISMA guidelines, a comprehensive search was conducted across Web …

Analysis The Influence Of Product Attributes On Purchase Decision In Choosing A Smartphone Apple Or Samsung., Arumadina Islamiq

International Conference on Business and Management Research (ICBMR)

Smartphones are currently a very important and necessary means of communication for the public. Two of the most popular smartphone brands are Samsung and Apple. The purpose of this study is to measure respondents' assessments of product attribute variables (quality, features, brand, design style, and support services) in purchase decisions.

This research is descriptive. It uses quantitative methods. This study examines two variables in detail, namely product attributes (X) as the independent variable and Purchase Decision (Y) as the dependent variable. The respondents in this study consisted of all consumers who currently use Samsung or Apple smartphone products, with 400 …

Predicting Medical Tourism Destination Preference Of Indonesian Patients: The Roles Of Patient Experience Quality, Perceived Ai Intelligence And Humanness, Eddy Eddy, Sabrina O. Sihombing, Ferdi Antonio

International Conference on Business and Management Research (ICBMR)

This study proposes an investigation on the antecedents of medical tourism destination preference among Indonesian patients, with a specific focus on the novel moderating role of Artificial Intelligence (AI) chatbots. Driven by a significant financial drain from outbound medical travel, this study aims to understand the key factors that influence Indonesian patients to seek care abroad. The proposed conceptual framework posits that medical tourism destination preference is positively predicted by medical technology advancement, service quality, price transparency, and geographical accessibility. Patient experience quality is also hypothesized to mediate these relationships, serving as a critical psychological bridge. The most innovative aspect …

Consistency-Based Computing Of Fuzzy Eigenvalues And Fuzzy Eigenvectors: Method And Application, Kamala. R. Aliyeva Prof., Nihad Mehdiyev, Shamil Mehdi

Chemical Technology, Control and Management

The computation of eigenvalues and eigenvectors under uncertainty is a fundamental problem in fuzzy linear algebra and decision analysis. When matrix elements are represented by fuzzy numbers, classical spectral methods cannot be directly applied due to nonlinearity, ambiguity in ordering, and the propagation of uncertainty. Moreover, in many practical applications, particularly those involving pairwise comparison matrices, the reliability of eigenvalue-based results strongly depends on the consistency of the underlying data. This paper proposes a consistency-based framework for computing fuzzy eigenvalues and fuzzy eigenvectors that explicitly integrates consistency analysis into the spectral derivation process. The proposed method preserves the fuzzy structure …

Product Variety And Asset Pricing, Florin Bidian, Carlos Nunez, Ajay Subramanian, Baozhang Yang

Business Faculty Articles and Research

We develop a general-equilibrium multi-industry model with endogenous product variety and study its implications for asset prices. We estimate the model with both the Generalized Method of Moments (GMM) and the Simulated Method of Moments (SMM) and show that the equity premium and risk-free rate are consistent with empirically reasonable risk aversions and discount factors. The market risk premium increases significantly with the interindustry product complementarity. The model also generates the additional novel predictions that the market risk premium increases with the intraindustry product substitutability, and that industries with more substitutable products have higher excess returns. We show support for …

A Forgotten Tool? Intellectual Property Rights And The Competitive Potential Of Micro, Small, And Medium-Sized Enterprises In Tanzania, Saudin J. Mwakaje

Business Management Review

This article offers a hybrid assessment of law and its impact on business by examining how intellectual property rights (IPR) promote business competitiveness by granting enterprises exclusive statutory rights over their innovations and creative ideas. The article situates the discussion in the Tanzanian context and focuses on Micro, Small, and Medium-Sized Enterprises (MSMEs). Using a qualitative approach, the discourse examines ongoing national and continental reforms and the evolving business and market environment that are driving MSMEs to adopt innovation to achieve market control and sustainability. Recent continental and regional regulatory developments, including the adoption of the Agreement on African Continental …

From Awareness To Action: Exploring The Behavioral Gap In Green Computing Among Surveyed University Students In Tanzania, Victor G. Wilson

Business Management Review

As digital technologies become increasingly embedded in higher education, promoting environmentally responsible computing practices has become an important sustainability and management concern. This study applies the Norm Activation Model (NAM) to examine green computing behavior among university students in Tanzania. Drawing on responses from 868 students across science, education, and business programs, the study investigates how Awareness of Consequences, Ascription of Responsibility, and Personal Norms influence green computing behaviors. Hierarchical regression analysis was used to assess both the explanatory power of the NAM variables and the selective moderating roles of gender and academic program. Findings reveal that both awareness and …

The Role Of Board Effectiveness In Shaping The Influence Of Esg Disclosures On Financial Performance: The Case Of Tanzanian Listed Companies, Emmanuel Christopher

Business Management Review

This study examines the moderating role of board effectiveness in the relationship between environmental, social, and governance (ESG) disclosures and the financial performance of firms listed on the Dar es Salaam Stock Exchange (DSE) in Tanzania. Drawing on stakeholder and agency theory perspectives, the study posits that ESG disclosures create value for stakeholders while effective boards enhance oversight and ensure that sustainability initiatives translate into firm performance. Using secondary data from firms’ annual reports for 2016–2024 (198 firm–year observations), the study applies random effects panel regression guided by the Hausman test. Robustness checks were performed using an alternative financial performance …

Investigating Machine Learning As An Anomaly Detection Tool In College Basketball, Eli G. Whitaker

Honors College Theses

Artificial Intelligence (AI) and Machine Learning (ML) are more commonly becoming tools that organizations use to prevent, detect, and deter fraud. Like other organizations, the amount of fraud that the National Collegiate Athletic Association (NCAA) faces is growing at an alarming rate. The primary issue involves athletes that undermine the integrity of their sport by purposefully playing below their true potential as participants in broader betting-related schemes. This thesis focused on Division 1 Men’s Basketball evaluates the viability of using supervised ML to detect anomalies in team performance over games in recent seasons. Anomalies, like red flags in the context …