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Educating For Responsible Ai Governance - Building Interdisciplinary Frameworks For The Management Of Artificial Intelligence, Grace Eboh

Southwestern Business Administration Journal

As Artificial Intelligence (AI) becomes increasingly prevalent across industries, there is a critical need for educational programs that teach effective AI governance and management. This article examines how educational institutions can develop comprehensive curricula to prepare professionals for the complex challenges of overseeing AI systems responsibly. It analyzes current gaps in AI governance education, proposes frameworks for curriculum design, and identifies key competencies required for effective AI stewardship. The findings suggest that successful AI governance education must adopt an interdisciplinary approach that integrates technical literacy, policy understanding, ethical reasoning, and organizational management.

Una Student Organizations, Student Engagement Center, University Of North Alabama

Documents

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Converting The Social Security Trust Fund Into A Sovereign Wealth Fund: A Proposal To Secure The Future, Keanu Moore

Dartmouth College Master’s Theses

This thesis proposes the conversion of the Social Security Trust Fund into a sovereign wealth fund (SWF), paired with the phased creation of a mandatory retirement savings system for all working-age Americans. In response to forecasts projecting Trust Fund depletion by 2034, the proposed portfolio shift would diversify assets beyond U.S. Treasuries into global equities, real estate, alternatives, and fixed income, with the goal of enhancing long-term returns while remaining passively managed. While this reform would extend the Fund’s solvency, it is not, on its own, a permanent fix. To ensure structural sustainability beyond the exhaustion date, the thesis proposes …

Comparative Study On Ai Talent Cultivation In China And The United States: Strategies And Recommendations, Lexuan Li, Ke Wen, Wenjie Liu, Wei Shen, Zhenguo Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

Artificial intelligence (AI), as the core driving force of the new industrial revolution, has become a strategic pillar for enhancing national competitiveness, with the cultivation of AI talent being a decisive factor. This study systematically compares the AI talent cultivation systems of China and the United States from three perspectives: strategic planning, formal education, and practical domains. The findings reveal that the U.S. has continuously and systematically advanced AI talent cultivation plans at the national level, granted institutions substantial autonomy in talent cultivation with deep integration of industry-academia-research collaboration, and established a well-developed AI innovation and entrepreneurship environment. Accordingly, the …

Governing Bme Amplification In Large Language Models: A Standards-Aligned Framework For Llm Data Lifecycle Risk Detection And Ethical Ai Governance, Dale A. Rutherford

Theses and Dissertations

Large Language Models (LLMs) now underpin critical systems in education, healthcare, and policy advisory contexts, yet remain susceptible to the recursive amplification of bias, misinformation, and error (BME). These distortions, driven by feedback loops between user interactions, model retraining, and data reuse, accelerate epistemic drift and erode information quality over time. This dissertation advances a comprehensive governance architecture to detect, quantify, and mitigate these risks across the full AI lifecycle. The research introduces the BME Metric Suite, a standards-aligned diagnostic framework comprising five original metrics: Bias Amplification Rate (BAR), Echo Chamber Propagation Index (ECPI), Information Quality Decay (IQD), Pretraining Diversity …

Building A Vitalizing Team Culture, Iris Bull, Andrew Cibor

Purdue Road School

Leaders in the public sector face unique challenges in the recruitment and retainage of productive employees. Administrative staff from the City of Bloomington Engineering Department present an analysis of the strategies they employ to shape a high performing team. They examine mutable and designed aspects of their processes for advertising, interviewing, hiring, onboarding, and exit interviewing. Session participants will be provided tested strategies for stimulating professional growth, fostering intradepartmental collaboration, and building resilient culture.

Documenting For Success: A Case Study Of A Graduate Writing Retreat, Elliott Rose, Denise Wetzel, Sara C. Kern, Katie O'Hara-Krebs, Laurin Davis, Salah Seoudi, Carmen Cole

Transforming Libraries for Graduate Students

Graduate students often find themselves balancing the demands of research and writing while managing complex academic and personal needs. Writing retreats provide an intentional space for graduate students to focus on their academic goals while supporting community-building, institutional belonging, and a welcoming environment. This proposal outlines a model for academic librarians and staff to plan and implement an effective graduate writing retreat designed to support graduate student academic activities through intentional collaboration and documentation.

Penn State University’s (PSU) Graduate Student Writing Retreat started as an event housed within the University Library’s Science, Technology, Engineering, and Math (STEM) department. The retreat …

Evaluating Marketing Decision Systems Under Experimental Constraints, Vatsal Modi

AMTP Proceedings 2026

Marketing organizations increasingly rely on algorithmic decision systems to guide targeting, budget allocation, and personalization. While these systems are widely deployed, evaluating their incremental impact remains challenging when traditional experimentation approaches, such as geo-based or large-scale randomized tests, are infeasible due to operational, regulatory, or interference constraints. This study examines how marketing decision systems can be rigorously evaluated under such conditions. Drawing on recent advances in causal inference and marketing analytics, we develop a decision-centric evaluation framework that integrates synthetic control methods, quasi-experimental designs, and incrementality diagnostics to approximate counterfactual performance. The framework emphasizes methodological transparency, robustness checks, and practical …

Young Professionals As Catalysts: Driving Innovation And Organizational Growth, Dolan Mcmillan, Kusai Contractor, Ryan Delves

Purdue Road School

Today’s young professionals (YPs) enter the workforce fluent in AI and digital tools, bringing fresh insight that reshapes how organizations make decisions and deliver projects. This session will explore how YPs apply classroom-taught technologies to real-world challenges—leading pilots, influencing business strategy, and fostering inclusive cultures. Through the lens of Organizational Citizenship Behavior, we’ll examine how YPs’ voluntary efforts—rooted in community, collaboration, and curiosity—are redefining innovation, leadership, and organizational growth across the transportation industry.

Understanding Agtech Adoption: Evidence From The Farm Tech Adoption Challenge 2025, Ankit Chandra, Mark Stone

Department of Agricultural and Biological Systems Engineering: Presentations and White Papers

The Farm Tech Adoption Challenge (FTAC) examined how farmers evaluate emerging agricultural technologies through structured interactions with startups. Farmers assessed solutions based on their on-farm challenges and indicated adoption decisions. Results showed that adoption was driven by how well technologies addressed economic pressure, risk reduction, and operational simplicity. Startups aligned with these priorities were more likely to gain traction, with five out of nine receiving farmer commitments for adoption. However, adoption also depended on clear economic value, field validation, and system integration. Overall, the findings suggest that the primary bottleneck in agtech is not the lack of relevant technologies, but …

The Constant Outsider: Black Women At The Intersection Of Bias And Brilliance, Michelle Hector

Organization, Leadership, and Communication

The complexity of Black women in the workplace includes racism, sexism, and countless barriers that challenge their success. Nevertheless, there are unique experiences of many women that climb their industries’ ladders and overcome adversity. This qualitative study included 28 Black executive women, mostly from Oakland who shared their strategies for success. Many of their journeys included adversity, however, they persevered. The data from this study was collected through a town hall meeting of 22 Black participants who shared their career pathways toward success. There were also focus groups that further explored how the constant outsiders sustained their positions. The results …

Phishing Susceptibility Among Healthcare Workers: A Multiyear Study, Darin Challacombe, Elizabeth Mcelhiney

SACAD: Scholarly Activities

Understanding and improving phishing awareness is an important aspect of ensuring patient health information (PHI) is protected. Many health organizations require associates to complete annual training and supplement that training with simulated phishing email campaigns.

This poster will provide the results of a multiyear group of four studies in which health information (HI) professionals were provided various types of training and then tested on their susceptibility to simulated phishing emails. This will supplement the research on the viability of this method. And, this will present the findings by using real HI professionals (vs. college students).

We will provide a summary …

Optimising Human–Ai Decision Performance: A Trust And Capability Framework For Knowledge Management, Eduardo Carlos Dittmar, Martin Sposato

All Works

Organisations struggle to optimise human–AI collaboration in knowledge-intensive decision-making. This paper proposes the Trust–Complementarity Model of Collective Intelligence (TCM-CI), explaining how calibrated trust and complementary capability utilisation drive superior organisational performance. Through systematic synthesis of human–AI interaction and knowledge management research, we identify three core mechanisms: (1) calibrated trust maximises collective intelligence by balancing appropriate reliance with necessary oversight, (2) complementarity–trust interaction determines optimal performance when high capability utilisation combines with appropriate trust levels and (3) dynamic feedback loops create reinforcing organisational learning cycles. The framework provides practical guidance for executives designing human–AI teams, developing trust calibration training, and establishing …

Application Of Open-Source Small Large Language Models For Finance Report Analysis, Tue Vu, Mark Austin, Marcel Tuijn

SMU Data Science Review

The rapid integration of generative AI in finance introduces both opportunities and challenges, particularly when analyzing sensitive data such as Securities and Exchange Commission (SEC) filings. This study investigates the use of open-source Small Large Language Models (SLLMs), deployed locally through the Ollama and LangChain frameworks, combined with Retrieval-Augmented Generation (RAG) for extracting financial insights relevant to index performance and reporting quality. Two key objectives guide this work: (1) benchmarking multiple open-source SLLMs for sentiment analysis, multiple-choice reasoning, and financial question answering, and (2) assessing the feasibility of locally deployed SLLMs for domain-specific financial queries. A standardized set of 50 …

Redesigning Online Graduate Orientation To Foster Academic Resilience And Prevent Underperformance, Stella Michael-Makri, David E. Rodriguez

Journal of Academic Underperformance

Graduate students in fully online programs often begin their academic journey without adequate preparation for the emotional, structural, and cultural challenges of graduate-level work. For students who are first-generation, racially marginalized, international, or returning to education after time away, this lack of scaffolding can lead to early disengagement, underperformance, or attrition. Orientation, often treated as a checklist of logistical tasks, represents a missed opportunity for meaningful academic intervention. This manuscript proposes a five-module conceptual model for online graduate orientation designed to proactively support online graduate students in the domains of emotional regulation and academic identity, time management and executive functioning, …

Insights From Ai Tutors In Undergraduate And Graduate Engineering Courses, Billy Kihei, Sheila Hill, Sumit Chakravarty

Proceedings of the Cognitive Innovation Conference (CognoCon)

As large language models become broadly accessible, questions about how to integrate them productively into engineering education have moved from speculative to urgent. This paper presents the design rationale and early deployment experience of 247officehours.com, a faculty-created, faculty-managed platform that grounds AI tutoring in instructor-selected course materials and connects it to assessment, engagement tracking, and targeted instructional intervention. Drawing on deployment across undergraduate and graduate engineering courses, we describe six core platform features, analyze how student interactions map onto Bloom's revised taxonomy, and identify recurring patterns of productive and unproductive AI use. A tutor–tutee inversion activity, in which students must …

Candidate Generative Ai Use In Pre‐Hire Employment Assessments: Self‐Reported Incidence And The Impact Of Warnings, Chet Robie, Timothy G. Wingate, Nataliya Baytalskaya, Hilary Butera

Business Faculty Publications

The rapid rise of generative artificial intelligence (GenAI) poses new challenges for the validity and fairness of pre‐hire employment assessments. Across two applied studies using large applicant samples completing a standardized pre‐hire assessment (which includes both cognitive and non‐cognitive components), we examined the self‐reported incidence of GenAI assistance, and the impact of warning statements designed to deter such behavior. In Study 1 (N = 5675), conducted in Q3 2024, fewer than 3% of applicants reported using GenAI, though up to 19% reported using GenAI in combination with algorithmic resources (e.g., search engines). All three warning statements (consequences, educational, and reasoning) …

Human-Ai Collaboration In Marketing Brainstorming: A Meta-Analytic Investigation Of Implementation Approaches And Creative Outcomes, Michael Michaels

USF Tampa Graduate Theses and Dissertations

Marketing organizations face intensifying pressure to sustain creative output while managing constrained resources and accelerating digital content cycles. The integration of artificial intelligence into marketing brainstorming processes presents a promising response to this challenge; however, prior to this investigation, no comprehensive quantitative synthesis had established the overall effectiveness of human-AI collaboration in marketing creativity contexts or identified optimal implementation strategies.

This dissertation presents a systematic meta-analytic investigation of AI-enhanced brainstorming effectiveness in marketing contexts. Following PRISMA guidelines, 42 independent empirical studies (N = 2,166 participants) published between 2018 and 2025 were identified across four primary academic databases, coded for implementation …

Analysis Of Student Satisfaction With The Ppg Student Registration Process At Universitas Negeri Malang Using The Servqual And Delone & Mclean Models, Dedi Prestiadi, Darmawan Satyananda, Dedi Tiarno

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

This study aims to analyze student satisfaction levels with the Teacher Professional Education (PPG) registration system at Universitas Negeri Malang using an integration of the SERVQUAL and DeLone & McLean models, as well as to develop a strategy for Continuous Quality Improvement (CQI) using Plan-Do-Check-Act (PDCA) cycle. This study uses a descriptive quantitative approach with 10,701 student respondents from three registration stages (BGT 1, Kemenag, and BGT 2). The data collection instrument is a 1–5 Likert questionnaire covering three main aspects: requirements, process, and registration application. Data analysis was conducted through validity and reliability tests, multiple linear regression, and Principal …

Cbdcs Vs Decentralized Currencies: Considerations For 21st Century Global Financial Challenges, Andrew Michael Sobhy, Shuai Wang

The Downtown Review: An Interdisciplinary Journal Written and Peer-Reviewed by Mandel Honors College Students at Cleveland State University

As digital currencies gain prominence in everyday life, policymakers in the United States at the federal, state, and local levels debate the potential for innovation, surveillance, global relations, and a plethora of areas that concern citizens. While existing literature highlights the opportunities and pitfalls within this new digital age, including inclusivity and challenges to traditional banking, this study aims to contribute a quantitative approach to the discussion utilizing Federal Reserve data, studies from financial institutions, and various credible resources that hold a stake. Specifically, comparing novel Central Bank Digital Currency (CBDCs) and Decentralized Financial Currencies (DeFi) will provide a foundation …

Applying Means–End Chain Theory To Online Buying And Understanding Consumers' Motivation To Disclose Private Information, Brikena Berisha, Maja Konečnik Ruzzier

Economic and Business Review

The purpose of this study is to define and understand the motives that influence consumers’ decisions to disclose personal data online. Using means–end chain theory as the main theoretical framework, 10 in-depth interviews conducted through soft laddering revealed how both utilitarian and hedonic motivations jointly shape disclosure behavior. The findings show that these motivations interact, demonstrating that data disclosure is driven not only by functional considerations but also by emotional and experiential factors embedded in consumers’ value systems. The study concludes that motivation plays a central and multifaceted role in online data disclosure decisions.

The Governance Crucible: Institutional Logics And The Transformation Of Corporate Governance In Slovenia, Katarina Dvorski, Domagoj Hruška

Economic and Business Review

This study explores how institutional logics are enacted and recalibrated within corporate governance amid legitimacy challenges and organisational change. Set in Slovenia’s posttransition banking sector, it combines a symbolic–material ontology of institutions with a dual distinction between identity-based logics, grounded in values and organisational purpose, and activity-based logics, rooted in operational practice and performance. Drawing on elite–expert interviews and governance artefacts, the analysis traces how these logics interact across three phases of governance transformation—state stewardship, privatisation, and postprivatisation resilience. The findings show that governance is not merely a technical control system but a meaning-laden crucible where legitimacy is continually constructed …

Knowledge-Management Collaboration And Labor Brokerage Performance: A Multilevel Study Of Entrepreneurial Market Making, James Downing

Economic and Business Review

Entrepreneurs operating in knowledge-intensive markets will seek to reduce costs with tacit-knowledge-management mechanisms. When seeking a competitive advantage in knowledge-intensive industries, individuals will create value from general market information and engineer the transaction cost for clients. These market-making individuals will operate within a firm to gain benefits from information-sharing collaboration. Firms will make investments in tacit-information sharing to assist individual collaboration, resulting in increased firm performance. The value creation process for knowledge-intensive markets is crafted from general market information. The value appropriation process is unique to knowledge-intensive industries with the engineering of a client’s transaction costs as a competitive advantage. …

Workforce Participation In Northeast Kentucky: A Qualitative Documentary Study, Timothy A. Gibbs

Morehead State Theses and Dissertations

A capstone submitted in partial fulfillment of the requirements for the degree of Doctor of Education in the Ernst and Sara Lane Volgenau College of Education at Morehead State University By Timothy A. Gibbs on March 2, 2026.

Can’T Get Work Off My Mind: The Effect Of Nonwork Goal Reflection On After-Work Rumination And Well-Being, Trevor A. Foulk, Min-Hsuan Tu, Michael Schaerer, Amber Johnson

Research Collection Lee Kong Chian School Of Business

Many employees lament that their inability to stop ruminating about work during nonwork time is one of their most significant work-related challenges, yet limited research has articulated actionable strategies to address this issue on a day-to-day basis. Integrating goal shielding theory with rumination theory, our model introduces nonwork goal reflection as a deliberate behavioral intervention employees can engage in to curtail work-related rumination, in a way that facilitates well-being during nonwork time. Specifically, we argue that engaging in nonwork goal reflection—where employees intentionally reflect on nonwork goals to be completed during their nonwork time—can curtail work-related rumination and is associated …

Joint Capacity Allocation And Job Assignment Under Uncertainty, Peng Wang, Yun Fong Lim, Gar Goei Loke

Research Collection Lee Kong Chian School Of Business

We study a multi-period joint capacity allocation and job assignment problem. The goal is to simultaneously allocate resources across J different supply nodes and assign jobs from I different demand origins to these J supply nodes, so as to maximize the reward for matching or minimize the cost of failure to match. We consider three features: (i) supply is replenishable after some random time, (ii) demand is random, and (iii) demand can wait and needs not be fully fulfilled immediately. Such problems emerge in many service management settings such as fleet re-positioning for car-sharing, and patient management in healthcare. We …

The Impact Of Employee Equity Incentives On Enterprise Innovation Efficiency: From The Perspective Of Granting Restricted Stocks To Employees, Zongjie Ji

Dissertations and Theses Collection (Open Access)

Against the dual backdrop of the in-depth implementation of the innovation-driven development strategy and the continuous deepening of SOE reforms, restricted equity has emerged a mainstream instrument for medium- and long-term employee incentives in Chinese SOEs. However, the underlying mechanisms, effect characteristics, and boundary conditions through which employee restricted equity incentives influence innovation efficiency in SOEs remain to be systematically examined. Drawing on panel data of 4,880 firm-year observation from Chinese A-share SOMEs over the period of 2015-2024, this study develops a direct effect model of “Equity Incentives-Innovation Efficiency” from the perspective of employee restricted equity grants. It further introduces …

Human–Ai Interaction In Graduate Academic Work: A Job Demands-Resources Conceptualization Of Satisfaction And Emotional Exhaustion, Joey Oliveira

Human Resource Development Student Publications and Presentations

Artificial Intelligence (AI) technologies are increasingly embedded in graduate academic work, shaping how faculty and students perform cognitive, analytical, and knowledge-based tasks. As AI tools become integrated into writing, research, and instructional activities, human–AI interaction has emerged as a central feature of contemporary academic work environments. However, existing research has largely focused on AI adoption and technological capability, with limited attention given to how ongoing human–AI interaction influences well-being experiences in academic contexts. Drawing on the Job Demands-Resources (JD-R) framework, this conceptual paper develops a model that links human–AI interaction to student learning satisfaction, faculty job satisfaction, and emotional exhaustion. …

Regulatory Cost Of Production In Napa County Vineyards, Lynn Hamilton, Michael Mccullough

Agribusiness

Regulatory costs are an increasing concern for California growers. Recent studies in Salinas Valley lettuce and San Joaquin Valley fruit, vegetable and row crops show that regulatory costs are growing at a much faster rate than costs of production. Napa County Farm Bureau contacted Cal Poly to conduct a case study of regulations accruing to Napa Valley vineyards. We interviewed one large (1000-acre) and one small (200-acre) vineyard in 2025 and documented the costs of complying with regulations in the following categories:

• Education and Training for Regulatory Compliance
• Air Quality
• Water Quality
• Surface and Groundwater Regulations …

A Data-Guided Analytical Framework For Assessing The Value Of Additional Variables In Heart Transplant Decision Making, Ali Dag, Hamidreza Ahady Dolatsara, Abdullah Asilkalkan, Joseph Ekong, Kamil Ciftci, Ugur Kucuk, Ozlem Cosgun

School of Business

Heart transplantation is a life-saving procedure for patients with end-stage heart failure. The United Network for Organ Sharing (UNOS), which administers the US organ allocation system, substantially expanded the number of clinical and demographic variables collected in its database in 2004. This study examines whether these newly added variables improve the ability to predict survival outcomes for patients on the heart transplant waiting list. An information-gain-based feature selection approach, supported by an extensive review of prior studies, was combined with survival analysis and regularized regression to identify the most influential predictors. Using the selected variables, several classification models, including tree-augmented …