Digital Commons Network^™

Project Management For Blockchain: Strategic Guidance And Lessons From Practice., Cherie Noteboom, Aravindh Sekar, Deb Tech

Research & Publications

Blockchain technology (BCT) offers powerful solutions to long-standing enterprise challenges such as inefficiencies, lack of transparency, and low stakeholder trust. By enabling secure transaction tracking and real-time data sharing, BCT can improve operational accuracy, streamline workflows, and build confidence across organizational ecosystems. However, the implementation of BCT significantly transforms conventional project management strategies and practices. We propose practical recommendations for each stage of the process group of the project life cycle- Initiating, Planning, Executing, Monitoring & Controlling, and Closing to meet the demands of decentralization, interoperability, and continuous ecosystem coordination inherent in the implementation of BCT projects. Grounded in practitioner …

Optimizing Subgroup Selection In Petrochemical Industries: A Robust Data Envelopment Analysis Approach For Uncertainty Management, Sadegh Niroomand, Hilda Saleh, Morteza Shafiee, Dragan Pamucar, Ali Mahmoodirad

Research outputs 2022 to 2026

This study addresses the critical challenge faced by organizations in selecting an optimal subgroup of decision-making units (DMUs). Such a selection procedure can significantly influence efficiency, profitability, and strategic development. Recognizing the limitations of existing methods in handling inexact data and incorporating managerial preferences, this study proposes a novel framework that integrates data envelopment analysis (DEA) with binary linear programming models. The model applies belief-degree–based representations of uncertainty to capture imprecise inputs and outputs. For this model, two solution approaches—namely, chance-constrained programming and expected value approaches—were developed. These approaches are suitable for real-world applications using standard optimization software. The effectiveness …

Bitcoin Halving: How Effective Is It In Driving Cryptocurrency Market Dynamics?, Nyoman Sri Subawa, Caren Angellina Mimaki, I. Made Oka Mahendra, Made Srinitha Millinia Utami

Research outputs 2022 to 2026

Bitcoin halving is a quadrennial event that halves mining rewards and is believed to influence cryptocurrency prices and cryptocurrency market dynamics. This study examines the effect of Bitcoin halving on Cryptocurrency Prices, with Government Regulations, Market Sentiment, and Cryptocurrency Performance as mediating variables. A quantitative research approach was employed, gathering original data via survey instruments from 294 participants within the cryptocurrency community in Bali, which were analyzed using PLS-SEM. The findings indicate that Bitcoin halving exerts a favorable and statistically meaningful influence on Government Regulations, Market Sentiment, Cryptocurrency Performance, and Cryptocurrency Prices. Market Sentiment fully mediates the influence of Government …

Navigating An Uncharted Path: Chief Diversity Officer Challenges In Creating And Implementing A Dei Strategy Plan Within Major Hospital Systems, Diane Shines Mcdaniel

Antioch University Dissertations & Theses

This qualitative phenomenological study investigated the major challenges Chief Diversity Officers (CDOs) face when creating and implementing DEI strategy plans within major hospital systems in the United States. The study was guided by one research question: What are the major challenges that Chief Diversity Officers face in creating and implementing a DEI strategy plan within major U.S. hospital systems? A phenomenological design was used to examine the challenges of six Chief Diversity Officers serving in major U.S. hospitals as they led DEI strategy planning and implementation. Data were generated through semi-structured interviews consisting of eight open-ended questions designed to elicit …

Configurations Of Work Design: A Person-Centered Perspective Of Job Demands And Resources In The Healthcare Sector, Arian Kunzelmann, Mina Askovic, Vivien W. Forner, Nate Zettna, Anupama Jolly, Shanta Dey, Helena Nguyen, Anya Johnson, Sharon K. Parker

Research outputs 2022 to 2026

Work design is fundamental Human Resource Management (HRM) responsibility, which is crucial for employee well-being. Current HRM research on work design largely relies on variable-centered approaches. We argue that a person-centered approach uncovers more complex interaction patterns that are often obscured and provides a more holistic view of work design. Additionally, work design research often neglects occupational specificity, focusing on universal work characteristics. While this is important for generalizability, it can miss important industry and occupational variations, such as in healthcare. In this research, we focus on both universal work characteristics (feedback, autonomy, and support) and a dominant occupation-specific work …

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

Morehead State Press Release Archive, 1961 to the Present

Press releases for January of 2026.

2026 Guide To Planned Giving, Morehead State University. Office Of Communications & Marketing., Morehead State University Foundation.

Communications and Marketing Publications Archive

Theh 2026 Guide to Planned Giving from the Morehead State University Foundation.

Energy Poverty, Economic Growth And Environmental Degradation In South Asia: Do Energy Resources Matter?, Memona Rasheed, Hooi Hooi Lean, Nam Foo

Research outputs 2022 to 2026

Developing countries can combat energy poverty by enhancing renewable energy and economic growth with minimal adverse environmental effects. In this paper, we present a comprehensive analysis of energy poverty, renewable energy, economic growth, carbon dioxide emissions, and urbanization (URB) in South Asian countries from 1990 to 2021, focusing on Pakistan, India, Bangladesh, and Sri Lanka. We employed econometric analysis techniques like Panel Pooled Mean Group (PMG)-Autoregressive Distributed Lag (ARDL), Fully Modified Ordinary Least Squares (FMOLS), and Dynamic Ordinary Least Squares (DOLS) to provide empirical results, as they enable panel data and control for endogeneity. The findings suggested that the fight …

Human Capability Development In Irish Tech Smes, Anna Zherdeva

Doctoral

Purpose: SMEs are the backbone of the European economic model and represent 99.8% of all businesses, highlighting the importance of research that assesses challenges and opportunities faced by SMEs. The reviewed literature revealed a significant lack of research on how SMEs can develop management, teamwork, and team-building skills in the context of the twin transition (i.e., digital and green transitions), particularly regarding digital transformation and its impact on economic development and business cooperation. Researchers have presented evidence of the difficulties SMEs face in competing with corporations due to numerous constraints, including a lack of investment and qualified human resources. To …

Motivation System Evoked By High Performance Work System In Chinese Universities And Colleges - An Examination Of The Relationship Between Human Resource Practices, Basic Psychological Needs, And Job Performance, Juan Chen

Doctoral

High Performance Work Systems (HPWS) are strategic, integrated Human Resource Practices (HRPS) designed to enhance employee abilities, motivation, and opportunities for participation, driving sustained organisational performance. While early research emphasized commitment HRPS, recent studies recognise that control and commitment HRPS are complementary rather than mutually exclusive, with neither holding an absolute advantage. Their success depends on contextual factors such as country, industry,organisation, economic environment, and workforce. In Chinese higher education institutions, transitioning from a high-commitment “iron rice bowl” system to a more control-oriented HR model has created tensions between efficiency and academic freedom. Based on the resource-based view, social exchange …

Sensory And Emotional Impacts On Modern Consumer Experiences, Winter E. Bland

Graduate Studies Theses and Dissertations 2026

This dissertation comprises two essays examining how environmental and psychological stimuli shape consumer experience, attitudes, and cognition. The first essay investigates the joint influence of scent temperature (warm versus cool) and scent arousal (stimulating versus relaxing) on experiential attitudes and cognitive performance in digitally mediated consumption environments. Across multiple lab experiments with biometric validation, findings reveal that these two scent dimensions interact to shape downstream outcomes. Warm, low-arousal scents (e.g., vanilla) enhance consumers' experiential evaluations of digital interactions but do not improve task performance, whereas cool, high-arousal scents (e.g., peppermint) boost cognitive efficiency and accuracy but do not elevate experiential …

Human And Ai Support In Business Simulations: A Quasi-Experimental Mixed Methods Study Of Performance At Scale, Sara Willox

Graduate Studies Theses and Dissertations 2026

Large classes change what instruction looks like. In hybrid business courses with high enrollment, it becomes harder to respond to individual students, and performance can suffer as a result. This study looked at what happens when that gap is addressed in different ways during an eight-week business simulation at the University of Central Florida. Six course sections were divided into three study groups. One group worked without support, one received instructor guidance, and one used AI tools that included a course search system and generative responses. Student outcomes were based on weekly profit and loss recorded in Sim Companies. The …

Systematic Literature Mapping: Integrated System Of Logistic Distribution For Island, Eka Suswaini, Mochammad Agung Wibowo, Ferry Jie

Research outputs 2022 to 2026

Purpose: The study aims to identify and compare various methods used to optimize supply chain distribution, with a focus on uncovering novel approaches. It particularly addresses the gap in logistics distribution models tailored for island environments, proposing the development of an integrated information system using genetic and memetic algorithms to handle uncertainties like weather and vessel availability. Design/methodology/approach: A Systematic Literature Mapping (SLM) approach was adopted. The K-Chart method was applied to categorize conceptual strategies and identify research gaps. A case study was also included to analyze logistical challenges in island settings, incorporating real data variables like transportation schedules and …

Evaluating The Use Of Machine Learning For Road Maintenance Cost Estimation, Shahla Shirinzad, David Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

Accurate estimation of highway maintenance costs is essential for efficient resource allocation and long-term infrastructure sustainability. This study evaluates the effectiveness of advanced machine learning models, including ResNet, Transformer, and other neural network architectures, for forecasting maintenance costs using historical data from the Highway Maintenance Improvement Program (HMIP) provided by the North Carolina Department of Transportation (NC DOT). A comprehensive comparative analysis is conducted across multiple models using standard performance metrics, including R², MAE, RMSE, and MSE. The results demonstrate that advanced architectures, particularly ResNet and Transformer, consistently outperform traditional statistical approaches and baseline machine learning models, achieving …

The Soft Target Curriculum: Using Nigeria's 2026 Cascading Breaches To Teach Foundational Cybersecurity Failures, Chinedum Amaechi, Doris Asogwa, Samuel Alade

Journal of Cybersecurity Education, Research and Practice

SourceURL:file:///home/amaechi/Documents/ *Journal of Cybersecurity Education, Research and Practice (JCERP)*. **Title:** The Soft Target Curriculum: Using Nigeria's 2026 Cascading Breaches to Teach Foundational Cybersecurity Failures.docx

Background: Between March and April 2026, a single threat actor allegedly compromised four Nigerian institutions across banking, payment infrastructure, government registry, and power distribution sectors. The breaches exposed millions of records and disrupted critical services, yet all four exploited elementary vulnerabilities taught in introductory cybersecurity courses. Objective: This pedagogical case study analyzes the four breaches as a unified phenomenon of "normalized negligence" and provides ready-to-use teaching materials for cybersecurity educators. Methods: Using open-source intelligence analysis of …

Lost In Instructions: Study Of Blind Users' Experiences With Diy Manuals And Ai-Rewritten Instructions For Assembly, Operation, And Troubleshooting Of Tangible Products, Monalika Padma Reddy, Aruna Balasubramanian, Jiawei Zhou, Xiaojun Bi, Iv Ramakrishnan, Vikas Ashok

Computer Science Faculty Publications

AI tools like ChatGPT and Be-My-AI are increasingly being used by blind individuals. Although prior work has explored their use in some Do-It-Yourself (DIY) tasks by blind individuals, little is known about how they use these tools and the available product-manual resources to assemble, operate, and troubleshoot physical/tangible products – tasks requiring spatial reasoning, structural understanding, and precise execution. We address this knowledge gap via an interview study and a usability study with blind participants, investigating how they leverage AI tools and product manuals for DIY tasks with physical products. Findings show that manuals are essential resources, but product-manual instructions …

The Effectiveness Of Training On The Use Of Project-Based Learning Methods In Developing The Teaching Skills Of Middle School Science Teachers, Essa Dakheel Alrehaly

University of Tabuk Journal for Humanities and Social Sciences

The current research aimed to measure the effectiveness of training on using project-based learning methods in developing teaching skills among intermediate science teachers. To verify the research hypotheses, a cognitive test and an observation card were used. The experimental treatment materials included the training program in light of project-based learning methods to develop teaching skills among intermediate science teachers. The current research used the experimental method with a quasi-experimental design based on a single-group design with a pre-post application to determine the effect of an independent variable on a dependent variable. The research sample consisted of an experimental group of …

Micro-Behavioral Analysis Of Online Shopping Patterns For Blind Users, Yash Prakash, Akshay Kolgar Nayak, Nithiya Venkatraman, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

While online shopping platforms provide convenience and autonomy to blind users, their non-visual interactions remain underexplored at a micro-behavioral level. Existing studies have primarily emphasized accessibility and usability challenges but have overlooked how fine-grained, screen reader-driven keystroke-level behaviors reflect users’ cognitive strategies. In this paper, we present the findings of a longitudinal study with 25 blind participants to examine their micro-behavioral patterns, using keyboard activity and screen reader logs on both familiar and unfamiliar e-commerce websites. We complemented this study with semi-structured interviews to contextualize the uncovered micro-behavioral patterns. Our results revealed patterns in how blind users draw upon cognitive …

A Comparative Analysis Of Explainable Ai (Xai) Techniques For Transparent And Reliable Image Classification, Sovon Chakraborty, Shakib Mahmud Dipto, Kevin R. Pilkiewicz, Michael L. Mayo, Pratip Rana

Computer Science Faculty Publications

Evaluating the trustworthiness of black-box machine learning models remains a significant methodological challenge. Their lack of transparency and interpretability limits applicability, because stakeholders often seek transparency before trusting the results of black-box machine learning models. Explainable AI (XAI) methods provide for human-understandable justifications and informed decision-making of these black-box architectures. Therefore, it is imperative to select the proper XAI model tailored to specific tasks. In this research, we focus on examining four XAI techniques: PEEK, LRP, GRAD-CAM, and LIME to understand how they perform against each other for image classification tasks. We evaluate the performance, robustness, generalizability, noise stability, and …

Maximizing Online Intersession Enrollment Through Targeted Course Offerings, Heather S. Mcmillan, Charles D. Mcallister

Journal of the North American Management Society

Abstract

Online winter intersession courses have become an increasingly important strategy for universities seeking to support accelerated student progression while generating incremental tuition revenue. This study examines ten years of winter intersession enrollment data from a public, master’s-level comprehensive university in the Midwestern United States to identify course characteristics associated with higher student enrollment. Using 12,520 individual enrollment records, the analysis focuses on course type (general education versus major requirement), course classification (lower level, upper level, blended undergraduate/graduate, and graduate), and course discipline. A series of ANOVAs and Bonferroni post-hoc tests reveal significant differences in enrollment across these dimensions, with …

Decision Framework For Enhancing The Adoption Of Alternative Infrastructure Funding Models In Ghana, Samuel Kojo Aidoo, Patricia Lindelwa Makoni

CSID Journal of Infrastructure Development

This paper examines the socio-economic and infrastructure conditions that determine Ghana’s readiness to adopt alternative infrastructure funding models (AIFMs) for sustainable road development. The objective of the study is to identify the macroeconomic and sectoral drivers of AIFMs’ adoption and to develop policy frameworks for the sustainable financing of infrastructure within Ghana’s context. Ordinary Least Squares (OLS) regression analysis is applied to annual data from 2003 to 2023 to examine the relationship between macroeconomic and infrastructure indicators and economic growth , which is used as a proxy for the viability of AIFMs. The results show that employment growth, educational attainment, …

Beyond Words: A Systematic Multimodal Framework For Text, Images, And Extreme Helpfulness In Online Reviews, Alvaro J. Aguado Marin

Dissertations

Online product reviews have become increasingly multimodal, combining text with media-rich elements such as images. However, academic research has largely examined textual features in isolation, overlooking how visual content and its interaction with text shape perceived helpfulness. This dissertation addresses that gap by developing and empirically validating a comprehensive framework capturing how textual, visual, and contextual features collectively influence review evaluation. Grounded in the Elaboration Likelihood Model (ELM) and extended through the Text-Image Elaboration Likelihood Model (TI-ELM), the framework advances understanding of how consumers process content from both user- and business-generated sources. It also lays the foundation for examining emerging …

Digital Transformation And Its Role In Achieving Sustainable Competitive Advantage: Entrepreneurial Capabilities As A Mediating Variable – An Analytical Study Of A Group Of Private Banks, Kamal Kadhim Al-Hassani, Ali Matar Abd

Muthanna Journal of Administrative and Economics Sciences

This study aims to explore the mediating role of entrepreneurial capabilities in the relationship between digital transformation and competitive advantage in the Iraqi banking sector. The study adopted a descriptive-analytical approach, and data were collected through questionnaires distributed to 235 managers in private banks in Iraq, using a structured survey instrument. Structural Equation Modeling (SEM) was employed via AMOS v.25 to analyze the data and test the hypothesized relationships. The results revealed a statistically significant positive relationship between digital transformation and competitive advantage, highlighting the pivotal role of digital transformation in enhancing banks’ ability to achieve competitive superiority. More importantly, …

The Role Of Linear Programming And Sensitivity Analysis In Improving The Transportation And Distribution Of Vegetable Oils: A Case Study Of The State Company For Vegetable Oils In Iraq, Zainab Alaa Hameed

Muthanna Journal of Administrative and Economics Sciences

The State Company for Vegetable Oils in Iraq faces a fundamental challenge of high transportation costs and inefficiency in distributing products across factories and warehouses to meet growing demand. Accordingly, this study aims to employ operations research methods-specifically linear programming and sensitivity analysis---to design a distribution plan that enhances efficiency and minimizes costs. The methodology involved developing a mathematical model of the transportation problem based on actual data related to supply quantities, demand requirements, and transportation costs between production sources and distribution outlets. The model was solved using WinQSB software to determine the optimal solution. Sensitivity analysis was then conducted …

From Fashion To Electronics: Analyzing Shopee Indonesia Email Marketing Content Across Different Product Categories, Tri Anita Rahayu, Irmawan Rahyadi, La Mani La Mani

ASEAN Marketing Journal

This study explores the email marketing content employed by Shopee Indonesia across various product categories, including fashion, health & beauty, electronics, digital products, and home & living. By analyzing the variations in themes, messaging, and promotional tactics, the research aims to understand how Shopee Indonesia customizes its email content to optimize engagement and conversion rates across these diverse categories. The findings reveal that Shopee Indonesia employs distinct content strategies tailored to the specific characteristics and consumer preferences associated with each category, highlighting the platform's strategic approach to targeted marketing.

From Enhancement To Substitution: A Strategic Provocation On Simulation-Based Sport, Grant B. Morgan, Andreas Stamatis

Journal of Applied Sport Management

Advances in artificial intelligence, large-scale machine learning, and simulation technologies are rapidly transforming how sport is played, analyzed, and consumed. To date, most scholarly and industry discussions frame these technologies as tools that enhance embodied sport by improving performance, officiating, media production, and fan engagement. This paper extends that conversation by posing a more provocative strategic question: under what conditions might simulation move from enhancement to substitution? Focusing explicitly on sport as a business and entertainment enterprise, we argue that many of sport’s core sources of cultural and economic value—uncertainty of outcome, narrative continuity, legitimacy, and collective meaning—are structurally …

Memo Metodológico: Elaboración De La Investigación Titulada “Ser Deseo. El Deseo Femenino Como Abyecto En El Filme Thelma.” [Reporte De Investigación], Ximena Diaz Santillán, Romano Ponce Díaz

Journal of Roleplaying Studies and STEAM

Realizar una tesis de grado siempre constituye un reto, pero también una oportunidad para desarrollar las habilidades y métodos de investigación que serán la base de futuros trabajos. Pese a que, en apariencia, la elección de un filme como objeto de estudio en la licenciatura en Lengua y Literaturas Hispánicas puede resultar extraña, las herramientas adquiridas a lo largo de la formación permiten explorar diversos productos culturales como textos; es decir, se trata de entramados sígnicos que se interrelacionan para generar un sentido dirigido a un público. Si bien existen teorías como la estética de la recepción en la que …

Role-Playing Game Studies: A Transmedia Approach Por José Pablo Zagal, Y Sebastian Deterding, (Editores). (2018). [Reseña], Cristo Leon, Edgar Meritano

Journal of Roleplaying Studies and STEAM

"Role-Playing Game Studies: A Transmedia Approach," editado por José P. Zagal y Sebastian Deterding (2018b), es una recopilación exhaustiva del estado actual de la investigación sobre los juegos de rol a través de diversas disciplinas, culturas y medios. El libro traza la historia de los juegos de rol desde sus precursores en los juegos de guerra (wargames) hasta los juegos de mesa (Tabletop), el juego de rol en vivo (live-action role-play), y los juegos de rol contemporáneos de computadora y en línea. Cada capítulo ofrece perspectivas y hallazgos de disciplinas clave como …

Umwelt, Sujetos Transindividuales E Intencionalidad Compartida: Cuerpo, Significación Y Socialidad En La Construcción Del Conocimiento, Juan C. González Vidal

Journal of Roleplaying Studies and STEAM

En este trabajo abordamos, desde el punto de vista semiótico, el vínculo indisoluble que existe entre el cuerpo humano, la significación y la socialidad. Partimos del postulado de que el cuerpo es, desde el nacimiento, una entidad sintiente; luego, una vez adquirida la capacidad de generar procesos semiósicos primarios, empieza a ordenar y a clasificar los estímulos exteriores, hecho en el que se asienta el fundamento de su orientación básica en el entorno. Conforme aumentan sus competencias semiósicas, se incrementan sus capacidades perceptivas y cognitivas que, al ser afirmadas, lo llevan a alcanzar finalmente los más altos grados de socialidad. …

Editorial: Jugar, Narrar, Habitar Mundos: Cuerpos Y Ficciones En La Cultura Contemporánea, Romano Ponce Díaz

Journal of Roleplaying Studies and STEAM

En este número del Journal of Roleplaying Studies and STEAM (Vol. 4, núm. 2, Noviembre 2025- abril 2026) buscamos situarnos en ese cruce. En los artículos de investigación que aquí se exponen, se observa cómo los sistemas de juego, los universos narrativos, los performance, la mirada artística y las operaciones cognitivas intervienen en la configuración del concepto de sujeto, paisaje y comunidad. Estos artículos no son meras descripciones de objetos culturales; aquí se enuncian procedimientos metodológicos, contigencias operativas y aplicaciones eminentemente prácticas a campos de conocimientos transdisciplinarios.