Digital Commons Network^™

Expanding Automotive Supply Chain Visibility Beyond Tier 1 Suppliers For Semiconductors, Jonathan Goulding

Doctoral Dissertations and Projects

The research investigated the challenges and benefits automotive manufacturers face in achieving sub-tier supply chain visibility for semiconductor components. During the COVID-19 global pandemic, semiconductor shortages became a critical issue. A pragmatic, flexible qualitative case study design approach was employed to understand automotive semiconductor sub-tier visibility gaps. The key findings indicated there are initial barriers to transparency and challenges with data quality. There were challenges with sub-tier visibility integration, including internal resistance and system integration issues. The findings also showed that achieving sub-tier visibility can offer potential benefits in terms of enhanced reliance and mitigated risk. The study made significant …

Beyond The Grade: Validity In Global Virtual Team Peer Evaluation, Maria Randazzo-Davis, Phd., Christopher Nelson , Phd., Hillary Nelson, Graduate Student

International Journal for Business Education

This study examines how peer evaluation functions in global virtual teams, a setting that reflects the collaborative demands of contemporary international business education. The authors tested whether peer evaluation subscales, total peer-report score, and various indicators of team diversity predict team performance, assessed by instructors in a sample of 2,012 students from 445 X-Culture teams. The variables that were good predictors of team performance included the quality of team communication, work ethic, technical competence, generation of ideas, peer engagement, and peer writing skills. Less predictive of performance were leadership and effort ratings. In addition, students' self-ratings (i.e., peer ratings) were, …

Probabilistic Deep Learning For Traffic Density Prediction, Pedro Cesar Lopes Gerum, Andrew Reed Benton, Melike Baykal-Gursoy

Business Faculty Publications

Real time, accurate predictions of recurrent and nonrecurrent traffic congestion are essential for optimizing transportation systems and ensuring a smooth user experience. Traditional models often focus on long-term point estimates, limiting their use in scenarios requiring short-term predictions or probabilistic assessments (e.g., traffic signal optimization, dynamic tolling, and emergency response). This study explores probabilistic deep learning (DL) for real time traffic density distribution prediction. This study demonstrates that an adapted multi-quantile recurrent neural network (MQRNN), termed MQRNN-monotonic, outperforms traditional time series methods, particularly when handling nonrecurrent disruptions. A novel loss function is introduced to address quantile crossing issues, ensuring valid …

Ai-Driven Sustainable Textile Waste Utilization In New York State: Part I, Kyshia Anderson, Alyssa Dana Adomaitis

Publications and Research

While technology and awareness are advancing, a significant lack persists in how New York State utilizes innovative reports and enveloping contexts to envision solutions for textile waste, particularly evident in the context of interdisciplinary collaboration among fashion, technology, and construction design, a challenge that remains even with New York State's historical efforts in textile waste utilization (Tonjes, Manzur, Wang, Firmansyah, Rahman, Walker, Lee, Thomas, Johnston, Ly, Medina, Shi, Srivastava, Tucker, Maung, Thyberg, & Hewitt, 2024). Despite a more than nine hundred (900) percent increase in textile waste between 1960 and 2018, from 1,760,000 tons to 17,030,000 tons, current alternatives like …

Business Financial Information Systems, Lirie Koraqi, James Jolovski Prof.

International Journal of Business and Technology

An information system is a combination of software, hardware, and telecommunication networks to collect useful data, especially in an organisation. Many businesses use information technology to complete and manage their operations, interact with their consumers, and stay ahead of their competition. Some companies today are completely built on information technology.

Well designed and implemented business information systems should provide the information management and outside parties need to make informed and timely decisions about the operating health of the company. Business considers the need to have information available to assess the profitability of a new product they are selling or their …

Applying Lasso Regression For Property Price Prediction In Emerging Markets: An Empirical Study Of Prishtina's Real Estate Sector, Visar Hoxha, Albana Shala, Veli Lecaj, Fuat Pallaska, Hazer Dana

International Journal of Business and Technology

This study employs Lasso Regression (LR) to forecast apartment prices in Prishtina, analyzing a dataset of 1,468 transactions from the Kosovo Department of Property Taxes (2019-2023). Focusing on variables like distance to the central business district and apartment size, LR was selected for its ability to perform feature selection and regularization, applied using Python. The preliminary model included variables such as distance to central business district, distance from main road leading to central business district, size, floor, distance from bus stations, distance from ambulances, distance from schools, distance from green spaces, income status of inhabitants per apartment, and distance from …

Towards Resilient Data Governance: An Industry Study On Practitioner Perspectives On The Current State Of Data Governance, Anthony Mazzarella Iii

Theses and Dissertations

Experts agree that data governance is crucial for managing data as an asset, yet in practice, it remains inconsistently defined, unevenly implemented, and poorly understood. Earlier industry studies offered valuable descriptive benchmarks of governance adoption and professional roles, but provided limited theoretical insight and little empirical evidence explaining how governance functions within organizations. Building on this foundation, the current research offers a more substantial and analytically rigorous contribution by transforming descriptive observations into empirical explanations. Through a collaborative academic–industry partnership, the study utilizes a global survey of 565 respondents (348 valid cases) to analyze governance structures, motivations, challenges, and the …

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

Economic Development & Workforce

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

Cross Level Effects Of Digitalization And Environment Management On Energy Savings In Chinese Manufacturing Firms, Zijin Wang, Jaime Ortiz, Yuanheng Li, Lingyan Shi

International Business and Entrepreneurship Faculty Publications

The pathway to energy savings requires coordination of technological progress and policy implementation. Specific factors are needed to bridge cross-disciplinary conversations within just one system. Regional public digital infrastructure and enterprises’ environmental management capabilities are incorporated into a research framework on digitalization and energy savings based on the theory of digital ecosystems. A cross-level moderating model is constructed using data from 2014 to 2022 for 650 Chinese enterprises listed in the manufacturing industry to examine the impact of various digital technologies on energy savings, moderating effect of digital infrastructure and the constraint effect of environmental management systems (EMSs). Artificial intelligence …

Evaluating Kansai Airport's Ppp: Grounded Ambitions, Concession Of Financial, Geotechnical, And Climate Risk, Edmund Cho, Dimitrios V. Siskos

International Journal of Aviation, Aeronautics, and Aerospace

This study critically examines the Kansai Airports Group’s 44-year Public-Private Partnership (PPP) monopoly-type concession encompassing Kansai International (KIX), Osaka Itami (ITM), and Kobe (UKB) airports. The research uses financial analysis, Monte Carlo simulation, and NPV-at-risk modeling to evaluate how Japan’s fixed-term private monopoly model allocates financial, operational, and environmental risks. In 2015, there were significant developments in the promotion of the Private Finance Initiative (PFI) Act. It was revised in 2015; as a result, it finds that the underestimated long-term maintenance liabilities, especially Kansai airport (KIX) foundation subsidence, and lacked flexibility to manage exogenous shocks like COVID-19 and Typhoon Jebi. …

Digital Marketing Strategies To Meet Digital Consumers’ Behavior In The New Era: Challenges, Path, And Interventions To Navigate The Technological And Social Turbulence, Dario Natale Palmucci, Christian Di Prima, Vittoria Magrelli

Economic and Business Review

This paper examines how digital marketing is being reshaped by five interrelated tensions: balancing data privacy and personalization; navigating global–local dynamics (including cultural sensitivities and country-of-origin effects); integrating artificial intelligence without losing human connection; ensuring authentic communication to mitigate reputational risks linked to environmental, social, and governance (ESG) and ethical storytelling; and responding to shifting consumer preferences, particularly among younger generations. We combine a targeted literature review with semistructured interviews of marketing professionals across industries and seniority levels. Findings portray marketers as “tightrope walkers” who negotiate paradoxes that redefine the function. We propose an integrated framework that synthesizes previously fragmented …

Are Loyalty Programmes Still “A Thing” In High-Fashion Retail? Understanding Generation Z’S Perspective, Živa Kolbl, Lori Šušulić

Economic and Business Review

This study investigates the relevance and perception of loyalty programmes (LPs) among Generation Z (Gen Z) consumers in the high-fashion retail sector. While LPs are well-established tools for fostering customer retention, their effectiveness among Gen Z, a cohort characterized by digital fluency, a preference for authenticity, and distinct consumption values, remains underexplored. Given the high-fashion context, where exclusivity and identity are critical, this study examines the extent to which LPs resonate with this generation. Utilizing a qualitative methodology and with the help of thematic analysis, we reveal four key dimensions: drivers of high-fashion consumption, shopping preferences, customer loyalty patterns, and …

Grand Theft Identity: The Privacy Costs Of Digitalization, Kenny Phua, Chishen Wei, Gloria Yang Yu

Sim Kee Boon Institute for Financial Economics

We study whether greater digital engagement increases the risk of identity theft by exploiting bank branch closures as a shock that shifts economic activity online. Using a quasi-natural experiment, we find causal evidence that branch closures increase identity theft, particularly in more vulnerable communities. Exposed consumers spend more time on mobile apps and shift their expenditures from offline to online channels. Adversarial activities associated with identity theft, such as unwanted calls and phishing attempts, increase after branch closures. Overall, our evidence suggests that digitalization offers consumer benefits, but also imposes hidden privacy costs.

An Introduction To The Ai Special Issue And A Modern Framework For Ai In Sport Management, Jun Woo Kim, Vitaly Ford

Journal of Applied Sport Management

This paper introduces the special issue while also exploring the theoretical foundations and practical applications of AI in sport management, guided by Artificial Intelligence: A Modern Approach (Russell & Norvig, 2021). The manuscript examines AI’s evolution from rule-based systems to large language models (LLM)–driven intelligent agents and classifies the technology into five major subfields—machine learning, natural language processing, computer vision, reinforcement learning, and AI agency. Using real-world sport industry examples and recent academic research, this paper presents a modern taxonomy of AI’s role in sport management, articulates managerial implications, and outlines future research directions necessary for sustainable and ethical integration …

From Static Prediction To Mindful Machines: A Paradigm Shift In Distributed Ai Systems, Rao Mikkilineni, W. Patrick Kelly

Barowsky School of Business | Faculty Scholarship

A special class of complex adaptive systems—biological and social—thrive not by passively accumulating patterns, but by engineering coherence, i.e., the deliberate alignment of prior knowledge, real-time updates, and teleonomic purposes. By contrast, today’s AI stacks—Large Language Models (LLMs) wrapped in agentic toolchains—remain rooted in a Turing-paradigm architecture: statistical world models (opaque weights) bolted onto brittle, imperative workflows. They excel at pattern completion, but they externalize governance, memory, and purpose, thereby accumulating coherence debt—a structural fragility manifested as hallucinations, shallow and siloed memory, ad hoc guardrails, and costly human oversight. The shortcoming of current AI relative to human-like intelligence is therefore …

An Exploration Of Factors Associated With Sport Fan's' Choice Of Ticketing Platforms., Jacob Owsley

Electronic Theses and Dissertations

This research study examined key experiential and demographic factors associated with sport consumers’ choice of online ticketing platforms. The research applied the technology acceptance model (TAM) to examine how trust, official sponsorship, user interface design, and price consciousness are associated with consumers’ choice between different online ticketing platforms.. Data were collected from 312 adult sport consumers in the United States through an online survey distributed across six Reddit communities focused on ticketing or research activities. Participants included individuals who bought tickets to professional sports events and attended these events during the last 12 months. The expert review process and two …

Experiences Of Research Administrators With Faculty Researchers In Sponsored Project Compliance., Adrienne M. Lindsay

Electronic Theses and Dissertations

The purpose of this study was to examine how central office research administrators perceive and describe their professional interactions with faculty researchers, and how those relationships may impact compliance with sponsored project requirements in United States higher education institutions. Cohen et al.’s (1972) organized anarchy theory and Schein’s (2010) organizational culture theory provided a foundational context for understanding research systems within higher education institutions and the social environment in which research administrators navigate potentially contentious roles, both facilitating research and stewarding compliance for the institution and the sponsor. Findings emerged around specific challenges faced by research administrators, which included role …

The Importance Of Leader-Member Exchange And Psychological Contracts In Highly Qualified Researchers, Robin L. Ingerick Dba

Theses & Dissertations

This study examined the significance of the relationship between leader-member exchange (LMX) and psychological contracts in United States-based research organizations. When the organization-manager-employee relationship deteriorates, psychological contract breaches can occur, negatively affecting employee outcomes and the organization's financial success and stability. Existing knowledge highlights several factors that influence relationships, including reciprocated treatment, work behaviors and reactions, trust, professional respect, affect, mutual interaction, work autonomy, communication, job satisfaction, and fulfillment. The study sought to determine to what extent is there a predictive relationship between LMX and psychological contracts (employee obligations, employer obligations, fulfillment, and contract transitions) of highly qualified United States-based …

One Size Does Not Fit All: Contract Design In Fintech Lending, Jianfeng Hu, Changcheng Song, Gloria Yang Yu

Research Collection Lee Kong Chian School Of Business

Many fintech lenders rely on standardized contract terms to support scale and operational speed. This paper examines whether modest tailoring of loan contracts can improve credit market outcomes. We conduct a randomized field experiment with a large fintech lender that varies loan due dates relative to borrowers' salary paydays. Synchronizing repayment schedules with income cycles reduces delinquency by 29.1% in the experiment and 15.7% in the administrative data. Effects concentrate among liquidity-constrained borrowers: young, low-income, and low-creditlimit individuals. Tailored repayment timing generates substantial economic benefits: borrowers save on overdue penalties, lenders accelerate cash flows, and improved repayment increases future credit …

Greekmate: Communicating Startup Value Through Design And Marketing, Cameron Do-Khanh

Graphic Communication

This project examines how design and marketing can improve communication for early-stage software by applying these principles to GreekMate, a candidate management tool built for student organizations. The software functioned well but lacked a strong brand identity and clear value communication. Using Diffusion of Innovation Theory and research on UX strategy, the project focused on redesigning the brand system and marketing website to make the product easier to understand and more appealing to its audience. The redesign included a new visual direction, updated hierarchy, clearer feature explanations, and a more energetic style that aligned with student expectations. Informal user feedback …

Annual Report 2024-2025, Houston Academy Of Medicine - Texas Medical Center Library

Annual Reports: 1943 - Present

This file contains the Annual Report for the library from 2024-2025.

Self-Effficacy And Emotional Intelligence In Young Females; Filling The Leadership Pipeline Through Youth Development Programs, Annette Cherie Vargason

Doctor of Business Administration (DBA)

The persistent underrepresentation of women in leadership positions remains a significant global concern, stemming from systemic barriers and lower self-efficacy reported by women in leadership contexts. Current trends suggest it could take another 50 years to achieve gender parity in leadership roles. This disparity highlights a need for effective early interventions to nurture leadership skills and confidence in young women. This study examined the relationship between self-efficacy (SE), emotional intelligence (EI), and leadership aspirations among young women participating in the Courageous Girls program, relying on maternal proxy reports using General Self-Efficacy Scale (GSE) and the Brief Emotional Intelligence Scale (BEIS-10). …

Property Management System, Abbas Kurnool

Electronic Theses, Projects, and Dissertations

The real estate industry generates and manages large amounts of data, including tenant information, lease agreements, property maintenance schedules, and financial transactions. Reliance on traditional manual methods often results in inefficiencies, fragmented data, and delays in decision-making. To overcome these challenges, this project presents the design and implementation of a Real Estate Property Management System (REMS) for Future Properties, a company aiming to optimize its operations through digital transformation.

The proposed system is developed on Microsoft Dynamics 365 as the core platform, integrated with the Microsoft Power Platform tools (Power Apps, Power Automate, and Power Pages). This integrated framework provides …

Exploring Internship’S Role In Non-Virtual Social Capital Development: A Gen Z Student Perspective, Christina M. Galli

Dissertations

Gen Z students often complete internships as they prepare to enter the workforce (Maloni et al., 2019; Shtembari & Elgün, 2023). However, because the population relies heavily on digital technology to develop social relationships, Gen Z students may not have the social skills to develop non-virtual social capital (Fernandez et al., 2023; Henry & Shannon, 2023; Osorio & Madero, 2024). Existing research focuses on Gen Z individuals as students (Maloni et al., 2019; Pichler et al., 2021; Shtembari & Elgün, 2023). However, existing literature lacks specifications about Gen Z students’ strategies for gaining non-virtual social capital through internship experiences. This …

Human Capital, Immigration, And Growth: A State-Level Dynamic Panel Study, William R. Cooper

Graduate Theses and Dissertations (2019 - present)

This study examines whether who immigrates, rather than how many, matters for state economic growth in the United States. It integrates a policy-relevant proxy for skill (H-1B approvals) into an augmented Solow framework that separates immigration's quantity channel from its human capital channel and estimates dynamic effects in a balanced quarterly panel of 50 states (2010 to 2023 ). The empirical strategy estimates a two-step difference GMM Arellano-Bond model that reinforces identification using a double/debiased machine learning (DML) variant that orthogonalizes high-dimensional nuisance components via cross-fitting. This design targets the distinct roles of immigrant headcount versus skill in per capita …

Case Study: Using Ai To Design More Effective, Efficient, And Equity Focused Grant Application Review Processes, Emily Yu, Bryan Speelman

The Foundation Review

Grants fuel millions of organizations and advance social innovation across sectors. In the United States, foundations and corporations respectively awarded $103.5B and $36.5B to nonprofits in 2023 alone (Childress, 2024; Lilly Family School of Philanthropy, 2024).

By extension, grant applications play a critical role in how grant recipients are identified and selected. While many funders are eager for more streamlined and equitable processes to review grant applications, the process remains primarily a manual and time consuming one (Hewlett Foundation, 2021). These factors leave some funders implementing grant application processes potentially at odds with their impact goals. Examples include restricting who …

The Ai Contributor: A New Thought Partner In Systems Change, Jewlya Lynn, Rachel Reichenbach

The Foundation Review

Many foundations are making long-term commitments to advancing systemic change, continually adapting and refining their approaches along the way. An emerging and often underutilized tool in their systems change toolkit is generative artificial intelligence (AI).

AI is enhancing practices across philanthropy, often focused on increasing efficiencies and scaling or streamlining human tasks. What if we instead focus on what AI can do that is distinctly different from what a human can offer? In the world of systemic change, we continue to struggle with the complexity and intractability of systems and finding moments when systems can be shifted. AI can be …

2025 December, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for December of 2025.

A Study Of Configuration Management Database (Cmdb) Adoption In It Service Management (Itsm) Implementations Within Nj Community Colleges, Fredrick Dande

All-Inclusive List of Electronic Theses and Dissertations

This study examines the adoption of Configuration Management Databases (CMDBs) in IT Service Management (ITSM) implementations within New Jersey (NJ) community colleges. Despite the well-documented benefits of CMDBs—such as faster issue resolution, improved compliance, and greater visibility across IT infrastructures—implementation success rates remain low. As technology continues to enhance production capabilities and expand access to information, the need for centralized configuration visibility has become critical. A CMDB provides a single system of record for IT assets and services, helping organizations manage outages, assess changes, maintain compliance, and improve asset tracking. This research used an online survey to collect data from …

Is Artificial Intelligence Really Taking Our Jobs?, Francesca A. Strom

Undergraduate Theses and Capstone Projects

This paper studies how artificial intelligence has reshaped occupational opportunities in the United States by analyzing changes in employment, median wages, and wage inequality across all occupations from 2014 through 2024. Using a difference-in-differences framework, I compare occupations associated with AI-related tasks to those not directly exposed to generative AI, with particular attention to the structural break introduced by the mainstream release of generative AI tools in 2022. The results show no statistically significant decline in employment among AI-exposed occupations, indicating that early adoption did not lead to measurable job displacement. Instead, the strongest effects appear in wage inequality. Among …