Digital Commons Network^™

Who Invests In Crypto? Revealed Types And Economic Drivers Of Retail Investment, Darren Aiello, Scott R. Baker, Tetyana Balyuk, Marco Di Maggio, Mark J. Johnson, Jason Kotter

Faculty Publications

Using transaction-level data from millions of U.S. households, we provide the first comprehensive characterization of retail cryptocurrency investment. Crypto investors are distinguished not by demographics but by a latent behavioral type revealed through consumption patterns—one that also predicts higher participation in traditional equity brokerages. The economic forces driving crypto investment, including income shocks, workplace peer effects, and inflation exposure, mirror those driving traditional investment. Crucially, households whose consumption matches the crypto-investor profile are more responsive to all these drivers across both asset classes, suggesting that investor type is a more relevant distinction than asset class.

Evaluating The Quality Of Learning Disabilities Programs In Saudi Arabia From Teachers' Perspectives: Qualitative Study, Ahmed Lowiheg Aldousari

University of Tabuk Journal for Humanities and Social Sciences

This study investigates the quality of learning disabilities (LD) programs in the Kingdom of Saudi Arabia (KSA) from the perspectives of teachers directly involved in their implementation. The study adopts a qualitative research design, utilizing semi-structured interviews conducted with ten teachers of learning disabilities, including five male and five female teachers. The aim of the study is to explore teachers' perceptions of the effectiveness of current LD programs, identify key challenges encountered in practice, and highlight areas for improvement. The findings reveal that while teachers demonstrate strong commitment and positive attitudes toward supporting students with learning disabilities, several challenges persist, …

Psychometric Properties Of The Digital Psychological Competence Scale For University Students In The Kingdom Of Saudi Arabia, Mona Saad Falih Alamri

University of Tabuk Journal for Humanities and Social Sciences

Higher education has undergone a rapid digital transformation, requiring students to navigate technology-rich learning environments that demand integrated cognitive and psychological competencies. This study aimed to develop and validate a Psychodigital Competence Scale for university students in the western region of Saudi Arabia, using a sample of 523 students. The initial version included 21 items, which were revised through expert judgment (agreement >= 80%) to produce a final 16-item, four-factor scale. Construct validity was assessed using a pilot sample, and Pearson correlations demonstrated statistically significant item-scale relationships at the 0.05 and 0.01 levels. Reliability indicators showed significant split-half reliability (p < 0.01) and a high Cronbach's alpha coefficient (0.908). Exploratory factor analysis supported data suitability (KMO = 0.85, Bartlett's test p < 0.01, determinant = 0.011), and confirmatory factor analysis validated the four-factor model. These findings confirm strong psychometric properties, establishing the scale as a reliable tool for psychological and educational research.

Level Of Integration Of Learning Disability Program Services From The Perspective Of Learning Disability Supervisors And Teachers In Taif City, Abdullah Ahmed Ali Alghamdi

University of Tabuk Journal for Humanities and Social Sciences

This study aimed to investigate the level of functional integration among the core elements of learning disabilities programs in Taif, by surveying the opinions of those working in these programs within a comprehensive evaluation framework. This framework considered the governing legislation and regulations, the efficiency of diagnostic and assessment processes, the effectiveness of implementing Individualized Education Plans (IEPs), and other operational components that form the scientific and practical basis for the quality of educational services in these programs. The study adopted a descriptive approach, deemed most suitable for understanding the field reality, and its instruments as survey were applied to …

Crypto Litigation And Market Efficiency, Robert E. Bishop, Bradford Levy, Frank Partnoy, Daniel Taylor, Andrew Yeh

Faculty Scholarship

This paper investigates, for the first time in the literature, the factors that should matter to courts in determining whether a crypto  market is “efficient,” meaning that prices are sufficiently responsive to information. Based on new empirical evidence and a series of event studies, we recommend a new judicial framework for assessing market  efficiency in crypto litigation.

Market efficiency tests based on event studies have played an important role in other areas of litigation, particularly securities litigation, where courts frequently rely on what have become known as the “Cammer factors.” Academics have not yet assessed the extent to which market …

Economic Instrumentality Report Of Work & Occc, Manuel A. Rivera, Stephen Pratt, Frank Badu-Baiden, Margaret Zorrilla

Hospitality+™ Center for Innovation and Training

This report presents a comprehensive overview of the workforce supporting the OCCC, based on a research partnership with the University of Central Florida’s Rosen College of Hospitality Management. The analysis integrates nine interconnected studies examining workforce characteristics, job satisfaction, quality of life, commitment, retention, financial sustainability, and perceptions of meaning in work. Findings are based on 299 valid responses, representing front-line, supervisory, and managerial employees across the Central Florida events and tourism ecosystem.

Awareness And Decision-Making In Cryptocurrency Investment Among Students In Guwahati: A Comprehensive Study, Rituparna Roy Dr, Anupam Chanda Dr, Bidangsha Basumatary

The Indonesian Capital Market Review

This study investigates the awareness and decision-making processes related to cryptocurrency investment among students in Guwahati, Assam. Cryptocurrency, a form of digital money designed for online transactions without government or bank oversight, has initiated significant shifts in the global financial sector. The decentralization of cryptocurrencies offers transparency, security, and efficiency, challenging traditional financial systems. Despite the growing global interest in cryptocurrencies, their adoption faces barriers such as limited technological expertise, regulatory uncertainty, and security concerns. These issues are particularly pronounced among students, a demographic increasingly interested in digital currencies but often lacking foundational financial knowledge. The research aims to fill …

Identifying Risk-Free Asset Proxies In Companies Listed On The Indonesia Stock Exchange From 2017 To 2023 Using The Zero-Beta Capital Asset Pricing Model, Fajri Alan Ghazali Mr., Lenny Suardi Mrs.

The Indonesian Capital Market Review

This study evaluates Bank Indonesia Certificates (SBI), IndONIA, and gold as zero-beta proxies for Indonesian equities. Using daily returns for 213 firms listed on the Indonesia Stock Exchange (2017–2023) and the Jakarta Composite Index as the market return, we estimate firm-level zero-beta CAPMs and compute Wald statistics test to identify the appropriate risk- free asset proxy for each individual company; and firm-level outcomes are then aggregated under a Bernoulli/Binomial criterion with a 95% threshold. Empirical results show that gold satisfies the zero-beta condition for 207 of 213 firms (97.18%), whereas SBI and IndONIA satisfy it for five (2.35%) and six …

Green Credit, Climate Risk, And Credit Risk In The Indonesian Banking Industry, Titi Dewi Warninda, Shelby Devianty Widodo

The Indonesian Capital Market Review

As the largest archipelagic country, Indonesia's industries and regions are particularly vulnerable to the impacts of climate change. This research examines the effects of green credit policy and climate risk, specifically sea level rise and precipitation, on bank credit risk. Using data from 2019 to 2023 and system GMM, the research results show that the higher the sea level rise and precipitation, the higher the credit risk. The findings of this research also indicate that a higher proportion of green credit lowers bank credit risk, and bank inefficiency strengthens the impact of green credit on credit risk. The results of …

Pedagogical Readiness And Adaptability In Higher Education In Egypt: An Exploration Of Generational Disparities In Ai Adoption., Maha Ahmed Zaki Dajani, Israa Lewaa, Hadia Fakhreldin

Business Administration

ABSTRACT

Dajani, M., LewaaElhamd, I., & FakhrEldin, H. (2025). Pedagogical readiness and adaptability in higher education in Egypt: An exploration of generational disparities in AI adoption. In Conference proceedings for the Annual Conference of Business, Economics and Politics in the Middle East (BEP-ME) 2025 (pp. 96,116). The British University in Egypt.

This study investigates generational differences in the adoption of AI tools in Egyptian higher education, examining how pedagogical readiness and adaptability influence engagement among students and educators. It addresses a key gap in the literature—the lack of an integrated pedagogical framework combining Kolb’s Experiential Learning Theory and Constructivist …

Global Perspectives On Esg And Sdgs In Aviation, Leila Halawi

Publications

ESG implementation in aviation and airline operations has progressed significantly in the past few years. ESG is thought of as a source of competitive advantage. This research investigates the complex connection between ESG practices, SDG alignment, and trust-building in airline operations. We examine how airlines navigate these complex dynamics by drawing on literature and case studies from three distinct regions: the United States, Europe, and South America. We synthesize existing knowledge to illuminate pathways toward a more sustainable and trusted aviation industry and offer insights into successful approaches, persistent challenges, and emerging trends. © 2026 selection and editorial matter, Joanna …

An Examination Of The Determinants Of Audit Quality: Implications From Firms Listed In Us Stock Markets, Abdelrahman Naser Elmaria

Theses and Dissertations

The purpose of this thesis is to examine the effect of several audit determinants, namely audit tenure, non-audit to audit fees ratio, auditing firm size, and firm size, impact on audit quality. This thesis extends the existing literature on audit determinants effect on audit quality using a Generalized Linear Model, (GLM) regression with robust estimation by analyzing a sample of 446 companies from the USA in the manufacture and service sectors. This is conducted through a series of diagnostic tests to identify an appropriate regression model. Such tests include testing and checking of baseline regression models to check for multicollinearity, …

Partisan Local Media And Corporate Voluntary Disclosures: Evidence From Sinclair Acquisitions, Ming Li

Theses and Dissertations

I investigate the impact of local media’s political orientation on firms’ voluntary disclosure, exploiting the acquisitions of local TV stations by Sinclair Broadcast Group, a conservative media conglomerate. Drawing on the media bias theory and implementing a staggered difference‐in‐differences design, I find that the local partisan media affects management earnings forecasts. Specifically, Conservative-leaning CEOs in designated market areas (DMAs) affected by Sinclair’s acquisitions forecast more optimistically, increasing forecast frequency and inflating forecasted earnings. The impact is stronger if the DMAs are more Liberal-leaning before the acquisitions and when firms have weaker corporate governance. I also find that the stock market …

Identifying And Prioritizing Essential Healthcare Services For A Private Start-Up Healthcare Hub In Laxmipasha, Bangladesh, Ferdous Ara Mostofa

Dissertations

This quantitative study identifies and prioritizes essential healthcare services for developing a private start-up healthcare hub in Laxmipasha, Bangladesh, a rural community with significant gaps in healthcare access. Using secondary data from national and international sources, the research analyzed disease burden, population characteristics, and service availability to determine the most urgent health priorities. A structured, evidence-based framework was used to evaluate services based on mortality and morbidity, service gaps, and potential health impact. The findings indicate that Maternal and Child Health (MCH), Non-Communicable Disease (NCD) management, and infectious disease control represent the most critical priorities for initial implementation. The study …

Can Extended Asset Pricing Factors Predict Economic Growth?, Muhammad Zaid Imran

MS Finance Research Projects/Theses

This study examines whether the RMW and CMA factors of the Fama-French five-factor model predict future GDP growth beyond the information contained in the MKT, SMB, HML and WML factors and in standard macroeconomic indicators. It extends earlier framework to the United States, Italy, Canada and United Kingdom using samples that begin between 1991 and end in 2025. The six factors are constructed from firm-level data, and future GDP growth is regressed on past factor returns at quarterly frequency with Newey–West standard errors. The original study is also replicated on its 1978-1996 United States sample. CMA does not predict growth …

Machine Learning For Predictive Energy And Emissions Modeling Of Vehicles And Power Grids In The United States, S M Tanvir Faysal Alam Chowdhoury

Dissertations

The environmental benefits of electric vehicle (EV) adoption depend on more than replacing internal combustion engine vehicles with electric powertrains. EV adoption reshapes electricity demand, interacts with regional generation mixes, and influences travel behavior and congestion, creating a coupled transportation-energy system in which vehicle and power-plant emissions must be evaluated together. This dissertation develops machine-learning frameworks for predicting energy consumption and emissions from vehicles and power grids under rising EV adoption. The first component forecasts grid emissions from EV charging. Using simulation data from NREL's Cambium database, a Prophet-based time-series framework predicts carbon dioxide, nitrous oxide, and methane emission rates …

Three Essays On Corporate Bond Short Selling, Climate And Credit Risks, Manisha Thapa

Theses and Dissertations (Comprehensive)

This dissertation comprises three essays investigating topics on Corporate Bond Short Selling, Climate and Credit Risks.

The first essay addresses the question: Does climate risk influence bond short selling? We address this question by studying how climate risk influences the relationship between corporate bond short selling and subsequent credit default swap (CDS) spreads. We find that future CDS spreads are strongly related to bond short selling for the high climate risk firms. In particular, our fixed effects triple difference-in-differences (DiD) regressions show that sensitivity of subsequent CDS spreads to lagged bond short selling is significantly higher for firms with high …

Exploring The Role Of Cognitive Load In Applicant Faking And Prevention Methods, Sabah Rasheed

Theses and Dissertations (Comprehensive)

Personnel selection is critical to organizational success, and personality assessment is widely used to identify the best job candidates. However, applicant faking threatens the validity of personality assessments in high-stakes contexts. Faking is widely assumed to be more cognitively demanding than honest responding, and several faking-prevention methods rest on this premise. This dissertation examines that assumption across three studies using the dual-task paradigm to impose cognitive demands during personality assessments. Study 1 used a verbal digit-span task with a student sample and limited faking on the three job-relevant personality composites. Study 2 used a visual dual-task with a student sample …

Timing, Targets, And Teaching: How Employee Help-Seeking Influences Downward Knowledge Sharing, Nicholle E. Kovach

Theses and Dissertations (Comprehensive)

Knowledge sharing between managers and employees is critical for employee development and organizational performance. However, managers differ in whether they share knowledge, and in the type of knowledge shared. While solution-oriented knowledge offers immediate answers to improve short-term performance, process-oriented knowledge promotes long-term learning and employee development. The purpose of my dissertation is to investigate factors that influence managers’ knowledge-sharing decisions.

I conduct two studies to investigate my predictions. In Study 1, I examine how the timing of employee help-seeking requests, the source of performance targets and employee historical performance influence the type and quality of managers’ knowledge-sharing responses. Drawing …

Beyond The Stream: Valuing Music Catalogs As An Alternative Asset Class, Amelia Jade Magay

Honors Theses and Capstones

This thesis builds a quantitative valuation framework for music catalog transactions and tests its limits systematically. The goal is not to produce a formula that perfectly prices every deal. The goal is to identify where streaming-based financial analysis is a useful underwriting tool, where it breaks down, and what categories of value investors appear to be pricing beyond publicly available streaming data.

Leading From Where You Are: How Projects Build Leadership Skills In Law Libraries, Susan Azyndar, Yan Yu

Journal Articles

Practical ways to develop leadership skills through collaborative projects–no title required.

Infusing Authenticity Into A Service-Learning Program: Examining Long-Term Impacts On Professional Development, Mohan Yang, Jonathan Harbor, Belle Li, Jacqueline Nikiema

Educational Leadership & Workforce Development Faculty Publications

Purpose

The employability of postgraduate students remains a critical concern in higher education, as postgraduate programs, particularly at the doctoral level, traditionally focus on disciplinary and research competencies. This leads to a lack of adequate preparation for employment, especially for non-academic roles. This study examines the long-term impacts of an authentic service-learning program on trainees' professional lives, with a particular emphasis on academia. This addresses the need for insight into the long-term impacts of initiatives that enhance postgraduate programs with opportunities for students to acquire transferable competencies prior to entering employment.

Design/methodology/approach

We adopted a narrative inquiry approach to investigate …

Debt Decisions: The Effects Of Paying For College In The United States With Student Loans, Kim E. Bullington, David J. Thomas, Minghui Hou, William L. Nuckols, Dennis E. Gregory, Joshua L. Howell, Kaycee L. Bills, Amy-Leah Joaquim

Educational Leadership & Workforce Development Faculty Publications

Student loans have increasingly become a burden on individuals. This qualitative analysis explores how structural inequities and financial literacy gaps influence US student loan borrowers’ decisions to finance postsecondary education. The study highlights racial and economic disparities, examining participants’ reflections on debt aversion and systemic barriers to equitable access. We asked why participants took out federal student loans, asked about their decision processes when taking on debt, whether participants took any action to reduce accumulated debt, and if they’d made any discoveries about their decisions to take on student loan debt. After coding and a thematic analysis, five themes and …

Can Whistleblowing Improve Organizational Effectiveness? Evidence From Financial Reporting Misconduct, Hong Kim Duong, Sadok El Ghoul, Omrane Guedhami, Emmanuel Sequeira, Zuobao Wei

Accounting Faculty Publications

Background

While whistleblowing (WB) has attracted growing research interest in recent years, several critical WB-related issues remain underexplored.

Purpose

This study examines the impact of external WB allegations on a firm’s organizational capital (OC). Such allegations often indicate management’s failure to address employee concerns internally, spotlighting potential deficiencies in internal reporting systems, employee communication, training, and trust in organizational fairness. To mitigate reputational damage, restore employee trust, and prevent future incidents, we posit that WB firms respond by increasing OC investment.

Research design

We employ a difference-in-differences approach, comparing OC changes in WB-targeted firms with those in a propensity score-matched …

Lost In The Language: Data Breaches And The Strategic Fog Of Risk Disclosures, Ling Tuo, Shipeng Han

Accounting Faculty Publications

This study examines whether firms strategically adjust the readability of Item 1A (“Risk Factors”) disclosures following data breaches. Using U.S. firm-year observations from 2006 to 2023, we find that data breaches are associated with a significant decline in Item 1A readability. This decline is not accompanied by a meaningful increase in informational content; instead, post-breach disclosures exhibit higher syntactic complexity, more positive tone, and lower textual similarity to prior and industry peers' filings, consistent with strategic obfuscation rather than transparent reporting. The readability decline is amplified among firms facing higher litigation risk but attenuated among firms with stronger reputations for …

Does A More Functionally Diverse Top Management Team Make The Financial Statements More Comparable?, Md Mahmudul Hasan, Audrey Wen-Hsin Hsu, Sayan Sarkar, Tsung-Hsuan Joey Yang

Accounting Faculty Publications

We examine whether top management team (TMT) functional diversity affects financial statement comparability. Drawing upon upper echelons theory and the information sharing perspective in diversity research, we argue that TMT functional diversity produces more comparable financial statements due to better information sharing and integration. Using a sample of US firms, we find that financial statement comparability is positively associated with TMT functional diversity. We also find that the positive relationship between TMT functional diversity and comparability is more pronounced in firms with a poor information environment. Our findings remain robust after addressing endogeneity concerns. This study contributes to the existing …

Two Papers Exploring Cognitive Fit Theory And Data Visualization In Accounting, Kelly Wellman

Graduate Studies Theses and Dissertations 2026

This dissertation examines how data visualization design influences judgment and decision making in accounting using cognitive fit theory as a unifying framework. As visualization tools such as dashboards, Excel, Tableau, and Power BI become increasingly prevalent, understanding which design choices improve performance has become critical. The first paper provides a structured literature review of cognitive fit theory from 1991 through 2025, synthesizing research across accounting and related disciplines and tracing its evolution from early graph vs tables comparisons to mor recent work incorporating task complexity, individual differences, and design-specific features. The review identifies key gaps, including limited attention to difference …

Learning-Based Optimization For Collaborative Truck-Drone Routing And Scheduling, Ahmad A. Bany Abdelnabi

Graduate Studies Theses and Dissertations 2026

Modern delivery networks increasingly rely on innovative technologies such as drones working alongside trucks to meet rising demands for fast and efficient last–mile transportation. Hybrid truck–drone delivery offers strong potential, but its effectiveness depends on careful synchronization between trucks and drones. Although drones provide fast, direct travel, their limited endurance and the need to coordinate launch and recovery with trucks create tightly coupled routing and scheduling interactions. Poor dispatch decisions can cause truck waiting, reduce parallelism, and increase mission completion time. These challenges motivate decision frameworks that explicitly model synchronization and develop scalable methods for coordinated truck–drone operations. This dissertation …

Essays On Politics And Ideology In Asset Management, Madison Borrelli

Graduate Studies Theses and Dissertations 2026

This dissertation examines how political influence and ideology shape the investment and governance decisions of institutional investors. My first essay studies the effects of political interference on public pension plan asset allocation. Plans facing investment restrictions shift away from low-cost traditional assets toward higher-fee, lower-performing alternative assets. While politicians advocating these restrictions receive increased media attention, state economies do not benefit. These findings underscore how political incentives create agency problems that adversely affect investment decisions and outcomes.

The second essay examines whether differences in political ideology between asset managers and investors give rise to conflicts of interest. Mutual fund institutions …

The Bite Model And Multi-Level Marketing: How Monat Propagates, Lilly D. Cheung

Graduate Studies Theses and Dissertations 2026

This study aims to understand how MONAT Global Corp, a Multi-Level Marketing (MLM) company, utilizes rhetoric that aligns with Steven Hassan’s BITE Model of Authoritarian Control. Hassan is a cult expert and cult survivor whose work primarily explains undue influence and thought control with BITE representing Behavior, Information, Thought, and Emotional control. The MLM MONAT is a haircare brand that operates through a recruitment-and-sales-based hierarchy, in which sellers sign up and work under one another in a layered marketing structure. To meet quotas and maintain ranks, representatives will use rhetorical strategies to recruit new sellers beneath them in their ‘downline’ …