Business Commons^™

Income Tax Over-Withholding And Household Investment Decisions, Xi Novia Chen, Jungbae Kim, Ben Lourie, Chenqi Zhu

Research Collection School Of Accountancy

Over three-quarters of U.S. taxpayers over-withhold taxes, leading to tax refunds. This study explores how over-withholding impacts stock investments by comparing individuals' investment patterns from wages and tax refunds. We find that while some portion of tax refunds are promptly invested, the investment rate is lower than that of wages. This suggests that over-withholding, which alters the label and timing of wages into refunds, influences investment behavior. Our cross-sectional analysis indicates that the differential propensity to invest wages versus tax refunds are more pronounced for individuals with automatic investment setups and lower financial sophistication. These findings underscore the importance of …

Beyond Earnings Quality: Evaluating The Quality Of Corporate Disclosure Practices, Patricia M. Dechow, Weili Ge, Wei Ting Loh

Research Collection School Of Accountancy

We propose a framework to assess the decision-usefulness of heterogeneous disclosure practices that managers use to convey information to market participants. We illustrate an application of our framework to non-GAAP earnings, management earnings guidance, and earnings conference calls. We first identify key quality attributes for each disclosure practice and then develop a list of quality metrics that we apply to a small pilot sample. We focus on metrics that are easily measured in real time and discuss the practical challenges of conducting assessments of disclosure quality at the firm-quarter-disclosure level. Our descriptive analysis provides preliminary insights into whether and how …

What We Know About Accounting Ratios: Methodological Considerations, Wojciech Kuryłek, Oskar Kowalewski

Studia i Materiały Wydział Zarządzania Uniwersytet Warszawski

Purpose: This paper provides a comprehensive literature review of the methodological aspects of financial ratio analysis, consolidating dispersed knowledge on the computation, statistical properties, and appropriate usage of accounting ratios.

Design/Methodology/Approach: The study adopts a narrative literature review methodology, systematically surveying published research on financial ratio distributions, normality testing, data transformations, outlier handling, the proportionality assumption, dimensionality reduction techniques, compositional data analysis, and recommended ratio sets for corporate financial research.

Findings: Financial ratios predominantly deviate from normal distributions, exhibiting skewness, excess kurtosis, and sensitivity to outliers. Transformation techniques such as logarithmic, square root, and Box‑Cox methods yield mixed results in …

Empowering Women Farmers Through Leadership And Entrepreneurship: A Pathway To Sustainable Development In North‑East Nigeria, Freda Ijanada Fidelis, Faith Debaniyu Ibrahim

Studia i Materiały Wydział Zarządzania Uniwersytet Warszawski

Purpose: This study explores the role of leadership engagement, decision‑making autonomy, and access to finance in boosting the empowerment of rural women farmers in conflict‑affected areas of North‑East Nigeria. The objective is to furnish empirical evidence regarding the impact of these elements on women’s socioeconomic empowerment and entrepreneurial achievements, thereby contributing to the discourse on sustainable development.

Design/Methodology/Approach: The study utilises a quantitative research approach employing survey data obtained from 1,146 rural women recipients across three states in North‑East Nigeria. Data were analysed using advanced statistical approaches to test the hypothesised links between leadership engagement, decision‑making autonomy, financial access, and …

The Gravity Of The Ukraine War: Measuring Conflict Impacts On European Grain Trade, Stefan Bonchis

Graduate Theses and Dissertations

This thesis investigates the heterogeneous structural disruptions caused by the war in Ukraine on the European Union’s agricultural trade architecture, focusing on three critical commodities: wheat, maize, and sunflower seeds. Employing a structural gravity model framework across all 27 EU Member States, the study evaluates two conflict episodes, the 2014 Crimea annexation and the 2022 full-scale invasion, to identify the net beneficiaries and heavily impacted nations within the EU agricultural trade network. The empirical strategy utilizes a dual-test design to capture the full scope of the disruption. Test A (Ukraine towards the EU trade) reveals a distinct geographic logic in …

Cdt-1d Cnn Integration With Simpson-Sobolev Regularization For High-Frequency Options Trading: With Fem-Based Heston Option Pricing, Daniel M. Margolis, Johannes Tausch, Arthur K. Selender

Mathematics Theses and Dissertations

This dissertation presents a computational framework for high-frequency options trading that combines Cross-Data-Type 1-D Convolutional Neural Networks (CDT-1D CNN) with Simpson-Sobolev regularization for directional prediction, and finite element methods (FEM) for realistic option pricing during backtesting. The core innovation lies in developing a mathematically rigorous regularization approach that maintains the adaptability of modern deep learning while enabling accurate evaluation through stochastic volatility models. The primary contribution is the Simpson-Sobolev regularization scheme, which extends traditional Sobolev regularization by incorporating Simpson’s rule for numerical integration. This approach achieves higher-order accuracy in approximating the Sobolev norms that control function smoothness. Simpson’s rule attains …

Relationships Between Shared Group Properties: Theory, Measurement, Estimation, And Adjustment, Mark A. Maltarich, Paul D. Biese, Nichelle C. Carpenter

Faculty Publications

Teams researchers, meta-analysts, and others often study relationships between group-level constructs measured by aggregating individual-level variables, but it is well-known that group-mean correlations are influenced by individual-level relationships. We review multilevel issues and current practices in estimating and adjusting group-mean associations. We give special attention to comparisons across levels of analysis, and to adjustments for estimating population parameters. A Monte Carlo simulation study indicates that the two most commonly used adjustments in meta-analysis are ineffective in estimating population-based effect sizes. They frequently overestimate true relationships, sometimes severely. Indeed, simulations show that common adjustments move estimates away from population values in …

Advocacy For Inclusive Play In South Dallas: Expanding Access For Children In Underserved Areas, Aryanna Fellows, Mary Jan Greer

Summer 2026 OTD Capstone Symposium

This capstone project aimed to advocate for more inclusive and accessible playgrounds for children of all abilities in underserved communities in South Dallas. Guided by the Person-Environment-Occupation-Performance (PEOP) Model, the project evaluated playground accessibility and identified environmental barriers that limit participation for children with disabilities. Methods included a community needs assessment, playground observations using a standardized accessibility assessment tool, surveys, and stakeholder collaboration. Participants included community members, caregivers, organizational stakeholders, and children who utilize local playgrounds. Findings were synthesized to develop evidence-based recommendations and educational resources to support future playground improvements. The expected outcomes included increased awareness of inclusive playground …

Career Pathways Program Annual Report For Ay 2025/26, Wie Yusuf

Career Pathways

Career Pathways launched in August 2017 as the university-wide initiative to provide career and professional development to graduate students. It encompasses both the Preparing Future Faculty (PFF) and the Preparing Future Professionals (PFP) Certificates. The Preparing Future Faculty Certificate was established in 2007, while the Preparing Future Professionals Certificate was launched in 2017, concurrently with the introduction of Career Pathways. The Career Pathways program prepares graduate students for a successful transition into thriving careers. With the PFP Certificate, the emphasis has been on addressing the existing gap in career and professional development for master’s and doctoral students with career plans …

July 2026 From The Editor — 40 Years Of Success And Value To You, Romesh Nalliah

The Journal of the Michigan Dental Association

• Editor-in-Chief Romesh Nalliah uses the historical example of King Hammurabi's loan agreements to illustrate the foundational concept of risk management and insurance. He celebrates the 40th anniversary of the MDA Insurance & Financial Group, highlighting its growth into a full-service agency that addresses the specific needs of dentists. Nalliah emphasizes the "multiplicative effect" of supporting these member-governed services: they offer individual cost savings and generate non-dues revenue that funds broader MDA benefits and reduces dues. He credits the association's volunteer leadership for establishing this successful model of value-driven professional support.

July 2026 Cover Story — 40 Years Of Mda Insurance And Mda Services, Reva Darling

The Journal of the Michigan Dental Association

This article celebrates the 40th anniversary of MDA Insurance and MDA Services, the Michigan Dental Association's for-profit subsidiary. It outlines the history of the subsidiary, its evolution from small beginnings to a robust provider of commercial and personal insurance products, and its significant financial impact, returning over $42 million to the MDA since 1994. The piece emphasizes the subsidiary’s "by dentists, for dentists" philosophy, its role in keeping member dues stable through non-dues revenue, and its successful innovation of endorsed programs like Bank of America Practice Solutions and precious metals refining.

Determinan Fungsi Intermediasi Bank Kbmi 4 Di Indonesia, Friestha Sari Putri, Telisa Aulia Falianty

Jurnal Ekonomi dan Pembangunan Indonesia

This study examines the effects of bank-specific characteristics and macroeconomic variables on the intermediation function of KBMI 4 banks in Indonesia during 2014–2023. The variables include NPL, BOPO, CAR, bank size, ROA, GDP, BI Rate, and pandemic and recovery dummies. Secondary data from four KBMI 4 banks were analyzed using a panel-data Fixed Effect Model. The results show that NPL has a negative effect, while BOPO, CAR, ROA, GDP, and BI Rate have significantly positive effects on LDR. Bank size is insignificant. The pandemic and recovery dummies reduce LDR by 10.43 percent and 10.33 percent, respectively.

Infrastruktur, Kelembagaan Tani, Kemandirian Ekonomi Desa: Geografi Dan Paradoks Kepemimpinan Di Indonesia, Tri Wahyu Cahyono

Jurnal Ekonomi dan Pembangunan Indonesia

This study examines determinants of village economic independence (PADes) in Indonesia, focusing on infrastructure, social capital, and leadership. Using 2024 PODES census data (N=84,240) and clustered logistic regression, results show road infrastructure as the strongest factor (OR: 2.27). A “leadership paradox” emerges, where higher education of village heads negatively correlates with PADes formation. Geographic analysis reveals infrastructure effectiveness depends on topography, with lowland areas gaining the greatest structural advantage. Findings highlight the need for topography-based policy differentiation to strengthen fiscal independence in rural Indonesia.

How Relevant Is Money Supply? A Cross-Country And Cross-Variable Analysis, Ahmad Alharbi, Moid U. Ahmad

DLSU Business & Economics Review

Extensive discussions have been conducted on traditional and new-age macroeconomic theories in the context of the money supply and its determinants. This article contributes to the literature by analyzing money supply and its interactions with four other macroeconomic variables: GDP, exchange rates, interest rates, and prices. Using annual panel data from 55 countries from 2000 to 2023, the study applies various regression techniques and causal analyses to assess money supply determinants. Most analytical techniques indicated a significant relationship between money supply, national income, and foreign exchange rates.

The Contributors, Marites Tiongco

DLSU Business & Economics Review

No abstract provided.

Adaptive Leadership: The Pathway To Increase Child Welfare Retention Through Perceived Organizational Support Of The Supervisor’S Voice, Shawna Higgins

PhD in Organizational Leadership

Child welfare organizations continue to experience high rates of case manager turnover, disrupting continuity of care and negatively affecting outcomes for children and families. Although previous research has established that supportive supervision influences case manager retention, little was known about child welfare supervisors’ perceptions of the organizational support they receive or how adaptive leadership behaviors demonstrated by organizational leaders influence those perceptions. This qualitative phenomenological study explored the lived experiences of 13 supervisors employed in Florida nonprofit child welfare organizations. Guided by Adaptive Leadership Theory and Perceived Organizational Support Theory, the study examined supervisors’ perceptions of organizational support, organizational silence, …

Financing Global Public Goods: ‘Green Capitalism’ Vs Foreign Aid In Zambia’S Luangwa Valley, Kathleen Bergs

Southern African Journal of Policy and Development

Financing climate and biodiversity conservation amid persistent poverty has intensified debate over the ethics and effectiveness of market-based approaches relative to foreign aid. This article examines whether the form of finance shapes financial sustainability and ecological justice in Zambia’s Luangwa Valley. Guided by political ecology, it compares the commercially oriented Luangwa Community Forests Project in the South Luangwa landscape with the donor-dependent North Luangwa Conservation Programme. The analysis draws on 57 semi-structured interviews, 15 focus group discussions, participant observation and documentary review, triangulated with existing household surveys. The findings reveal convergence in governance challenges and stakeholder support for sustainable revenue …

More Than Just Fair: Legitimizing Ai Through Reciprocity, Ethical Ai Characteristics And Personal Information Sharing, Shahid Hussain, Asim Qazi, Violetta Wilk

Research outputs 2022 to 2026

This research examines how perceived reciprocity and perceived ethical AI characteristics – fairness, accountability, and transparency (FAT principles) – shape consumers’ willingness to share personal information and its downstream consequences in AI-mediated consumer-brand interactions. Grounded in social exchange theory, we conceptualize personal information sharing as a behavioral gateway through which ethical exchange cues translate into perceived algorithmic legitimacy and intention to co-create value. Using a two-study design, consisting of a scenario-based experiment (n = 184) and a cross-sectional survey (n = 612), the findings of this research show that reciprocity and FAT principles robustly increase willingness to share personal information. …

The Role Of Speculators In The Agricultural Futures Market And Their Impact On Prices, Clement Asamoah

Graduate Theses and Dissertations

The study evaluates the impact of speculative activity on agricultural commodity returns, specifically in the corn, soybeans, rice, and oats markets. The study also analyzed the influence commodity returns have on speculative positions. Weekly data from the Commodity Futures Trading Commission were used as a proxy for speculative activity, and futures data were also retrieved from Barchart. Vector Autoregressive models and the Granger Causality tests were estimated to identify the relationships between returns and speculation. The paper found that speculative positions do not Granger-cause returns over the course of a week except for rice Tuesday results, which recorded a statistically …

Institutions, Innovation, And Structural Transformation: Advancing Business And Economics Research In Emerging Economies, Marites Tiongco

DLSU Business & Economics Review

No abstract provided.

Investigating The Factors Impacting Consumer Intentions To Purchase Energy-Efficient Appliances, Yusra Memon, Raheela Haque

Business Review

Energy-efficient appliances protect the environment through reduced energy usage, lowering pollution, and preserving natural resources. Hence, this research is aimed to examine the factors influencing Pakistani consumers' intentions to purchase energy-efficient appliances. This research adopts a quantitative approach and purposive sampling technique, and the data was collected from 350 respondents belonging to major metropolitan cities of Pakistan i.e. Karachi, Hyderabad, Lahore, Islamabad, while SPSS and AMOS were used for data analysis. The study supports a number of important relations suggested by the Value–Belief–Norm (VBN) theory in the framework of buying energy-efficient appliances (EEAs) in Pakistan. Biospheric values (BV) significantly forecast …

Impartial Intelligence? Evidence Of Country-Label Sensitivity In Ai Financial Analysis, Fabio Motoki, Jedson Pinto

School of Accountancy Faculty Publications

This study examines whether large language models exhibit systematic country-contingent differential treatment in financial fraud detection. Analyzing 30,000 synthetic transactions with identical statistical properties across three country attributions (United States, Great Britain, and China), we find LLMs assign significantly higher fraud probabilities to Chinese-attributed transactions (36.2%) compared to Western countries (≈30–31%), resulting in accuracy disparities of 67% versus 74%. The gap remains stable across five independent experimental replications and persists when using Chinese language prompts, ruling out linguistic effects. Bias mitigation strategies, such as requiring explanations or explicit country neutrality instructions, reduce but fail to eliminate these disparities. Testing across …

2026 July, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for July of 2026.

How Cultural Homogeneity Couples With Organizational Climate In Public School Environments, Steven R. Peterson

All-Inclusive List of Electronic Theses and Dissertations

This quantitative study examines how cultural homogeneity influences teachers’ perceptions of school climate in Indiana public schools. Grounded in systems thinking and organizational theory, the study analyzes how shared values and norms shape teachers’ responses to leadership practices and stakeholder demands. Data were collected from educators using the School Culture Survey and a custom scenario-based climate instrument capturing reactions to organizational challenges. Statistical analyses explored relationships between cultural homogeneity and teachers’ perceptions of stability, workload, and adaptive capacity. Results indicate that alignment in key cultural dimensions—particularly Collaborative Leadership—significantly shapes climate experiences, while overall homogeneity alone does not predict workload pressures. …

The Personality Profile Of Innovator, Entrepreneur, And Business Leader Elon Musk, Amelia Brower, Aubrey Immelman

Psychology Faculty Publications

This paper presents the results of an indirect personality assessment of entrepreneur and business leader Elon Musk, from the conceptual perspective of personologist Theodore Millon.

Psychodiagnostically relevant data relating to Musk were collected from biographical sources and media reports and synthesized into a personality profile using the Millon Inventory of Diagnostic Criteria (MIDC), which yields 34 normal and maladaptive personality classifications congruent with DSM-III-R, DSM-IV, and DSM-5-TR.

The personality profile yielded by the MIDC was analyzed in accordance with interpretive guidelines provided in the MIDC and Millon Index of Personality Styles (MIPS) manuals. Musk’s primary personality patterns …

Operational Agency: A Permeable Legal Fiction For Tracing Culpability In Ai Systems, Anirban Mukherjee, Hannah H. Chang

Research Collection Lee Kong Chian School Of Business

Modern artificial intelligence (AI) systems act with a high degree of independence yet lack legal personhood—a paradox that fractures doctrines grounded in human-centric notions of mens rea and actus reus. This Article introduces Operational Agency (OA)—a permeable legal fiction structured as an ex post evidentiary framework—and Operational Agency Graph (OAG)—a tool for mapping causal interactions among human actors, organizations, and AI systems. OA evaluates an AI’s observable operational characteristics: its goal-directedness (as a proxy for intent), predictive processing (as a proxy for foresight), and safety architecture (as a proxy for standard of care). OAG operationalizes that analysis by embedding these …

Cross-Cultural Generalizability Is An Empirical Question [Open Peer Commentary], Shawn K. S. Chan, Wilson Cyrus-Lai, Michael Schaerer, Robbie C. M. Van Aert, Marcel Van Assen, Eric Luis Uhlmann

Research Collection Lee Kong Chian School Of Business

Crowd-sourced replication initiatives reveal that cultural differences in findings, while undoubtedly important in some cases, are often smaller and less systematic than assumed. This makes empirical testing, rather than presumption, exigent. The extent to which developmental psychology theories generalize across cultures is an empirical question, best answered via small- and large-scale collaborations between partner laboratories across the world.

The Power And Peril Of Awe In Leadership: Transforming Follower Identity And Behavior, Jack Mcguire, Daniel Mcallister, Jochen Menges, David De Cremer

Research Collection Lee Kong Chian School Of Business

Awe is a profound emotion that has captured significant attention within psychological research. While the potential for leaders to inspire awe in followers has received some recognition, systematic research on the nature and effects of awe in leadership—and within organizational contexts more broadly—remains limited. In this article, we offer a conceptual framework that explains the multifaceted and transformative nature of leadership through the power of awe. Specifically, we identify four leader behaviors—charismatic leadership tactics, exceptional performance, problem reframing, and self-sacrificial behavior—that elicit awe among followers. We further propose three variants of awe-inspiring leaders, describing how variation in a leader’s self-construal …

Patent Regime Shift And Firm Innovation Strategy: Evidence From The Second Amendment To China's Patent Law, Tony W. Tong, Wenlong He, Liang Chen, Zi-Lin He, Jiangyong Lu

Research Collection Lee Kong Chian School Of Business

Research Summary: While changes in intellectual property rights (IPR) protection significantly shape firm innovation, the mechanisms driving firms' responses remain poorly understood. Leveraging the Second Amendment to China's Patent Law, which strengthens appropriability particularly for state-owned enterprises (SOEs), as a natural experiment, we show that stronger IPR has mixed effects on SOEs' innovation. While SOEs increase the rate of innovation subsequent to the Amendment, they shift the direction of innovation toward more familiar areas in which they face a lesser need to adjust existing routines. This directional change suggests a quality decline in SOEs' innovation that may be attributed to …

The Anatomy Of Earnings Conference Calls: An Integrative Framework For Management Research, Matthew P. Mount, Gokhan Ertug, Wei Shi, Tengjian Zou

Research Collection Lee Kong Chian School Of Business

Over the last decade, there has been an explosion in the use of diverse data sources by management scholars to observe and capture managerial and organizational constructs that have historically been difficult to access. This surge has been driven by the growing availability of rich, multi-modal data—textual, image, and audio (Luo, Jia, Ouyang, & Fang, 2024)—together with advances in analytical techniques to process and analyze data, such as computer-aided text analysis (Harrison, Thurgood, Boivie, & Pfarrer, 2019), machine learning (Choudhury, Wang, Carlson, & Khanna, 2019; Harrison, Josefy, Kalm, & Krause, 2023), and deep learning (Gouvard, Goldberg, & Srivastava, 2023). These …