Digital Commons Network^™

Budol-Budol Time: A Perspective From The Global South On Generation Z’S Digital Status Consumption Through An Interactive Video, Luis Angelo Francisco Lopa, Kateleen Claire Malabag Gonzales, Jaedon Tongol Santos Jats

DLSU Arts Congress Conference Proceedings

This research critiques the contemporary digital landscape, as social media influencers shape Gen Z's consumer behavior, often driving "status overconsumption," the repetitive purchase of trending goods to enhance social standing. The study investigates the complex relationship between social media exposure and consumption patterns among affluent Gen Z (ages 13 to 28) in Laguna, Makati, Taguig, and Quezon City, Philippines. Its objective is to address the environmental consequences of these behaviors, including excess waste and carbon emissions from production and related industries, which consumers often overlook. Grounded in social comparison and status consumption theories, the research utilizes a sequential mixed-methods triangulation …

Atomos Komiks - Making Learning Fun With Science Entertainment, Jerome Aizpuro Suplemento Ii, Julius Noah Hernandez Sempio

DLSU Arts Congress Conference Proceedings

With portable digital devices imposing themselves on the already precarious attention span of the Filipino youth, and with raising concerns about degrading literacy of schoolchildren, it is imperative to find creative and entertaining means to inspire the young studentry to engage in dedicated educational materials. This paper explains the methods being used by a small group of artists, scientists and writers to create content for “science entertainment” in comics format. By combining principles of conceptual compression, knowledge indexing and low-elaboration persuasion techniques to develop knowledge “anchors”, the team aims to generate participatory engagement among readers and stimulate their cognitive innovation. …

From Homogeneous To Heterogeneous Adaptive Bounded-Confidence Opinion Dynamics On Networks, Sally Hafez, Fatma R. Farag, Amira S. N. Tawadros

Northeast Journal of Complex Systems (NEJCS)

Adaptive bounded-confidence models (ABCMs) elucidate the coevolution of agent states and network structure via local interactions and rewiring mechanisms. Traditional formulations assume uniform interaction parameters, leading to distinct regime shifts encompassing fragmentation, polarization, and consensus. A symmetric heterogeneous extension of the adaptive bounded-confidence model is introduced, in which interaction parameters vary according to whether agents belong to the same or different groups. The model retains the original update and rewiring protocols but integrates within-group and between-group confidence bounds alongside tolerance thresholds. Initially, the classic homogeneous model is replicated to establish a reference point. Subsequently, the heterogeneous extension is assessed under …

Economic Efficiency Of End-Guns On Center Pivot Irrigation Systems For Utah Alfalfa Production, Sophia Moss

All Graduate Reports and Creative Projects, Fall 2023 to Present

This study looks at whether using an end-gun on a center pivot irrigation system is financially worthwhile for Utah alfalfa producers. End-guns are used to water extra acreage beyond the end of a pivot, they can also apply water less evenly, which may reduce production on those outer acres. To examine this tradeoff, the study compares farm returns with and without an end-gun using historical Utah alfalfa price and yield data along with estimates of irrigation cost, added acreage, and possible yield loss. The results suggest that end-guns can improve profitability in many cases, mainly because they bring more acres …

The Economics And Viability Of Organic Forage And Grain Production In Utah, Mackenzie Lee

All Graduate Reports and Creative Projects, Fall 2023 to Present

Utah farmers face significant financial and agronomic challenges when transitioning into organic forage and grain production. The state’s high-desert climate, alkaline soils, and limited irrigation water make organic production more expensive and riskier than in many other regions.

This study evaluates a ten-year rotation built around alfalfa, which acts as a natural nitrogen engine for the system. Because alfalfa fixes large amounts of nitrogen, it reduces fertilizer costs for later crops such as organic corn. However, farmers must first survive the three-year transition period, during which they must follow organic rules but cannot sell their crops at organic prices.

Using …

The Startup: Critical Perspectives On Technology Entrepreneurship And Digital Labor, Kochav Koren

All Duquesne Faculty Scholarship

Communication and media studies are rapidly reshaped by socio-technological forces within the framework of informational capitalism, where startups emerge as key drivers of the global creative economy. This study critically examines the global startup movement through political economy, classical sociology, and Southern perspectives to assess whether digital entrepreneurship fosters genuine, decentralized innovation or perpetuates speculative financialization and labor precarity. Employing a multi-layered theoretical framework—including Schumpeterian creative destruction, Marxist commodity fetishism, and Weberian charismatic authority—and qualitative fieldwork across North and Latin American tech hubs, the analysis reveals startups as network enterprises that both disrupt markets and reproduce structural inequalities. The findings …

Identifying The Threshold: Using Regulatory Focus As A Predictor Of Ceo Adaptibility During Environmental Changes, George B. Constantine Iii

Dissertations

Building on research on CEO turnover and strategic leadership, this study examines how decision makers' regulatory focus shapes strategic decision-making and how this can contribute to performance decline, often resulting in CEO replacement. Drawing on regulatory focus theory, the study theorizes that measurable chronic regulatory focus attributes influence decision makers’ capacity to adapt to environmental change—conditions under which prior research suggests executives may become rigid and persist with established strategies. Despite its relevance for strategic adaptation, such chronic trait behavior has received limited attention in the current business literature. To address this gap, effectuation theory is integrated into a simulation-based …

0905: American Car And Foundry (Acf) Collection, 1916-2019, Marshall University Special Collections

Guides to Manuscript Collections

The collection includes only documents that were found in the plant in 2021. These primarily consist of files on capital projects from the 1970s through the 1990s. Also included are notebooks with job descriptions and classifications; ledger books containing maintenance purchase orders; quality assurance manuals; visitors register books from 1973-2019; drawings of plant machinery and operations; slides and photographs; and miscellaneous materials.

The forerunner to ACF was Ensign Manufacturing Company, founded in 1871 at Huntington, West Virginia, by William H. Barnum and Ely Ensign, both from prominent families of Lime Rock, Connecticut. It was chartered (incorporated) on November 1, 1872, …

The Evolution Of The Modern Library Brand: Transforming Community Engagement Into Sustainable Revenue, Slone Williams

Georgia Library Quarterly

This article examines the development of the Cobb Library Shop, an e-commerce initiative launched by the Cobb County Public Library to generate sustainable funding through brand engagement. Built on a modest startup budget, the shop integrates a multichannel sales strategy and leverages internal talent to create a scalable, community-centered retail model.

The project achieved a full return on investment within 14 days and continues to demonstrate steady revenue expansion. By combining entrepreneurial practices with public service values, this case study highlights how libraries can diversify funding streams, enhance community engagement, and establish a replicable model for revenue-generating library systems.

Socially-Minded Investors And Corporate Behavior, Merritt B. Fox, Menesh S. Patel

Faculty Scholarship

Many equity investors are concerned with the world’s worsening social and environmental problems and are losing faith in the capacity of political institutions to respond. Corporate behavior is often contributing to these problems. Some investors, at least if fully informed as to costs and benefits involved, would favor corrective changes to corporate behavior even where that would lessen their investment returns. Two important questions arise: (1) given existing law, are such willing-to-sacrifice equity investors currently affecting firm behavior; and (2) should there be legal reform that makes firms more sensitive to these willing-to-sacrifice investors’ preferences? This Article seeks to answer …

A Deep Reinforcement Learning Framework For Dynamic Order And Rack Scheduling In Robotic Mobile Fulfillment Systems, Lingjun Wang, Bayi Cheng, Zhiguang Cao, Aldy Gunawan

Research Collection School Of Computing and Information Systems

Robotic mobile fulfillment systems play a vital role in modern e-commerce, but their efficiencydepends on overcoming a critical challenge: coordinating orders and racks effectively under dynamicorder arrivals, diverse delivery deadlines, and resource sharing among multiple stations. This papertackles the resulting dynamic order and rack scheduling problem and proposes an intelligentscheduling framework centred on deep reinforcement learning. At its core is TriNet-PPO, whichtrains a scheduling policy using TriNet, a tripartite graph neural network encoder tailored to capturethe many-to-many relationships among orders, racks, and items. Furthermore, we introduce IPCSA,an integer programming-based cooperative scheduling algorithm that maps station-level actionpreferences to conflict-free joint decisions …

Financing Transition In A Hydrocarbon Economy: The Uae Case, Suzanna Elmassah, Mahmoud Elrefai

All Works

The objective of this paper is to examine the United Arab Emirates (UAE) as a test case of Gulf energy transition finance by analyzing how a hydrocarbon-dependent economy is constructing the financial, regulatory, and institutional architecture required to move from net-zero pledges to climate finance flows. Rather than treating climate finance as a set of isolated instruments, the paper conceptualizes the UAE’s approach as a state-led transition-finance model shaped by Gulf state capitalism, sovereign wealth accumulation, national oil company strategy, financial regulation, and post-COP28 climate diplomacy. Using a qualitative policy and institutional review, the paper maps the UAE’s transition-finance architecture …

Measuring Administrative Hiring Confidence Of Music Teachers In The Context Of Shallow Hiring Pools, Aaron M. Strum

Dissertations

The purpose of this study was to identify and measure the confidence of K-12 administrators in hiring music faculty. This study also aimed to analyze administrators’ perspectives and confidence in key stages of the hiring process, including defining job expectations, posting, advertising, interviewing, and selecting highly specialized music teachers in K-12 settings. Confidence of K-12 administrators can be gauged through their understanding of how well an applicant aligns with the specific needs of the school’s program. Three research questions guided this investigation: (1a) How confident are K-12 administrators in their understanding of music teaching pedagogy when interviewing music teacher candidates …

Blueprints For Resilience: A Delphi Study Of Architects' Competencies In Gulf Coast States, Richard J. Cantu

Dissertations

This study identifies and defines core competencies for licensed architects practicing in Gulf Coast states, emphasizing their critical role in protecting health, safety, and welfare (HSW) amid the region’s unique environmental challenges. Hurricanes, flooding, climate-induced risks, and other coastal hazards demand specialized expertise that existing architectural competency models do not adequately address. Leveraging Delphi’s research design, this study engaged Gulf Coast experts to develop and refine a region-specific competency framework across four iterative rounds. The findings highlighted the essential knowledge, skills, and abilities required for resilient and sustainable architectural practice. The study advances architecture’s human capital development (HCD) by addressing …

Ai, Market Place Trends, & Job Search Strategy, Juan Santillan

Paul English Applied Artificial Intelligence (AI) Institute Publications

This presentation examines how artificial intelligence is reshaping the labor market, workplace expectations, and job search strategies. It explores the changing nature of work in the age of AI, including the automation and augmentation of workplace tasks, the growing importance of AI literacy, and the increasing value of critical thinking, communication, collaboration, creativity, and other human-centered skills. The presentation also considers emerging AI-related career opportunities and changes to entry-level work as routine tasks become increasingly automated. In addition, it provides practical strategies for using AI throughout the job search process, including professional branding and networking, researching prospective employers, reviewing and …

Navigating The Dark Side: Emotional Labor's Impact On Hr Professionals' Wellness, Esmeralda Amelia Rendón

Electronic Theses and Dissertations

This qualitative descriptive study was designed to document and describe how female-identifying human resource (HR) generalist practitioners serving as sole or primary employee relations practitioners in small- to medium-sized organizations across the United States experience and manage emotional labor in their roles, cope with its demands, and how these experiences impact their wellness and perceptions of organizational support. Despite the centrality of emotional labor (EL) in human resource professionals’ (HRPs) roles, little was known about how HRPs in these underresourced environments cope with these demands. Data were collected through semistructured virtual interviews with eight participants and analyzed using Braun and …

2026 August News Report, Morehead State University. Office Of Communications & Marketing.

Communications and Marketing Publications Archive

The August 2026 Morehead State University News Report.

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 …

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

Morehead State Press Release Archive, 1961 to the Present

Press releases for August of 2026.

Transnational Social Protections And The Market: Seeking Support From The Global Cruise Industry, Yasmin Y. Ortiga

Research Collection School of Social Sciences

Migration studies have mostly portrayed employers as paternalistic or exploitative, creating the very conditions that make migrants’ lives insecure and unstable. This paper challenges this view by showing how the market can also be an unlikely source of protections, where extractive work conditions co-exist with a certain degree of social support. Drawing on interviews with 45 Filipino cruise workers during the COVID-19 pandemic, I discuss how migrants used a logic of employee rights to claim benefits such as food, housing and insurance. Cruise lines willingly provided such protections, but only while workers maintained active contracts onboard their ships. Rather than …

Exploring The Determinants Of User Discontinuance In Ai-Driven Usage-Based Insurance, Wenzhuo Li

Theses and Dissertations in Business Administration

While interest in algorithmic decision-making continues to grow, limited research has examined the post-adoption phase. This study examines how users evaluate their post-adoption experiences with algorithmic decision-making in the context of usage-based insurance (UBI), focusing on how expectation disconfirmation shapes satisfaction and the intention to discontinue use. It explores two key questions: What factors influence users’ discontinuance intention toward AI-based UBI systems? And how do specific algorithmic characteristics alter how users form these post-adoption evaluations? To investigate these questions, this study develops a comprehensive theoretical model that integrates the Expectation Confirmation Model and Reactance Theory, incorporating additional factors such as …

Using Ai Strategically For Internship & Job Search: Using Ai To Think Better, Not Just Faster, Hoang Bao Han Tran

Paul English Applied Artificial Intelligence (AI) Institute Publications

This presentation examines how students can use artificial intelligence strategically throughout the internship and job search process while maintaining critical thinking and human judgment. It explores the shift from traditional job-search platforms toward AI-assisted career research, including using personal experience, career goals, leadership activities, and individual context to evaluate potential opportunities. The presentation demonstrates how AI can support students in analyzing job descriptions, identifying relevant skills and qualifications, researching employers, and preparing for interviews. It also distinguishes the role of AI from that of career advisors, emphasizing that AI can help collect and process information while career advisors help students …

Ethical Use Of Ai In Education: Ai-Driven Learning: Good Or Bad?, Moumita Saha

Paul English Applied Artificial Intelligence (AI) Institute Publications

This presentation examines the ethical use of artificial intelligence in education and the opportunities and challenges associated with AI-driven learning. It explores the growing adoption of artificial intelligence, concerns surrounding excessive reliance on generative AI, and issues including privacy, algorithmic bias, misuse of AI, job displacement, transparency, plagiarism, intellectual property, equitable access, and academic integrity. The presentation also considers how AI may affect critical thinking, learning processes, assessment, and student career readiness while highlighting research on the potential of AI to support personalized learning and education. Through case examples, research findings, discussion, and a hands-on group activity comparing work completed …

Ai For Leaders: Co-Design Your Career Workshops, Rami Huu Nguyen

Paul English Applied Artificial Intelligence (AI) Institute Publications

This presentation explores the role of career identity and leadership development in helping students navigate an increasingly AI-driven professional landscape. It introduces a framework for understanding career identity through interests, skills, motivation, experiences, and professional roles, while examining the importance of maintaining individual identity when using artificial intelligence tools. The presentation emphasizes role-based career identity as a strategy for helping students establish direction, develop leadership skills, and remain competitive in the job market. Through an interactive co-design activity, career advisors work in teams to develop career workshops or mini-projects using search engines and AI tools, considering student roles, instructional processes, …

Structure Meets Context: A Simulation Study Of Centralized And Decentralized Decision-Making In Complex Environments, Murat Balci

Engineering Management & Systems Engineering Theses & Dissertations

The question of when to centralize or decentralize decision-making authority is a foundational problem in organizational theory and management science. Yet existing research often favors decentralized structures, frequently treating them as universally superior, and provides limited guidance on when centralization may be more effective. Leaning toward decentralization without thoroughly exploring options leaves organizational designers without clear direction under varying environmental conditions. This study addresses that gap by developing and applying a simulation-based framework to evaluate the context-dependent effectiveness of centralized and decentralized decision-making structures.

Drawing on contingency theory and decision science, the study conceptualizes environmental complexity along two dimensions: dynamism …

Key Success Factors In Aviation–Start-Up Collaboration: A Framework For Innovation And Value Creation, Bruno Pereira, Gui Lohmann, Luke Houghton, Adela Mcmurray, Mauro Caetano

Research outputs 2022 to 2026

This study addresses how the aviation sector can create value by fostering innovation in collaboration with start-ups. A novel ‘Key-Success Factors in Aviation-Start-up Collaboration Framework’ is proposed to explain the innovation process, identify key success factors, and generate valuable insights into the aviation sector and start-up partnerships. Drawing on 31 of 80 consolidated key success factors selected from the literature and validated through ten interviews with managers of aviation innovation programs and start-up founders, the proposed framework is structured into three dimensions: (i) antecedents, (ii) governance, support, and development, and (iii) innovation and value creation, and 13 related categories. The …

Medical Firms’ Online Q&A Interactions: Effect Of Language Style On Investor Engagement, Runyu Wang, Keng Siau, Zili Zhang

Research Collection School Of Computing and Information Systems

PurposeThis study aims to investigate how language styles used by medical firms on digital question and answer (Q&A) platforms influence investor engagement. It examines the linguistic characteristics of managerial responses and compares their effects across industries, with a focus on the distinctive demands of medical communication.Design/methodology/approachWe analyze a panel dataset of 1,223 firm-month observations, constructed from 13,549 individual responses provided by 70 medical firms on a major Chinese web-based firm-investor Q&A platform over a 24-month period (2020–2021). Content analysis is used to assess linguistic features, such as first-person usage, uncertainty, understandability and concreteness. A two-way fixed effects model with clustered …

Presidential Visits As Foreign Policy Instruments: U.S. Indo-Pacific Strategy In Trump’S Second Term, Atar Thaung Htet

Journal of Strategic and Global Studies

Through an analysis of President Donald Trump's October 2025 travel to Asia, this study investigates the consequences of U.S. Indo-Pacific strategy under his second-term diplomacy. The paper examines three significant diplomatic encounters—the ASEAN Summit in Malaysia, bilateral meetings in Japan, and the APEC Summit in South Korea—using a qualitative case study methodology based on role theory and foreign policy analysis. The results show that alliance-centered security cooperation, strategic balancing toward China, and selective economic engagement were U.S. Indo-Pacific goals. Through extremely transactional and bilateralized relations, presidential diplomacy allowed the United States to fulfill a number of foreign policy responsibilities, such …

Decision Making For Community Resilience: Applications In Flooded Transit Systems And Shared Housing, Mubarak Iddrisu

Graduate Doctoral Dissertations

Addressing climate-induced flooding and housing insecurity requires decisions that are technically sound, locally meaningful and feasible to implement. In public transit systems, flooding can damage infrastructure, increase travel time and reduce access to essential destinations, especially for older adults. Shared housing offers an alternative housing model where staff must balance affordability, compatibility, service exchange and participant choice when pairing home providers with housing seekers. In this dissertation, I examine how analytics and decision modeling can support community resilience across these two domains. I use spatial analysis, machine learning, optimization and matching theory to develop practical decision-support workflows. Chapter 2 proposes …

Redefining Creativity: Exploring The Value Of Generative Ai In Art, Zaldy D. Duenas Iii

DLSU Arts Congress Conference Proceedings

Artificial intelligence (AI) has profoundly transformed human activities and industries, including education, business, healthcare, entertainment, and the arts. The creative and artistic sector, in particular, has been significantly impacted, giving rise to public discourse around AI-generated art, commonly termed "AI art ."Advances in generative AI tools have disrupted traditional artistic practices by enabling rapid and seamless image generation from text prompts. These emerging AI technologies have introduced various economic, legal, ethical, and philosophical debates surrounding creativity in AI-generated works. In line with this, this paper examines the implications of generative AI on art and creativity, posing the central question: "Can …