Digital Commons Network^™

2026-09-10 Message From The President, Morehead State University. Office Of The President.

Staff Congress Records

Message sent on September 10, 2026 by the President to the campus community regarding upcoming dates and events for the Fall Semester, personeele and academic, construction news, campus personnel recognitions and other updates, summary of the Board of Regents meeting, and honoring University Legacies.

From Data To Decision-Making: The Role Of Local Digital Twins In Cross-Domain Management Within Municipalities – A Research-In-Progress Study In Veenendaal, Diana M.E. Boekman, Koen Smit, Guido Ongena, Rob Peters

Communications of the IIMA

Municipalities are facing increasingly complex, interconnected challenges in areas like housing, climate adaptation, mobility, and social policy. Local Digital Twins (LDTs) are seen as a promising tool to make this complexity more understandable and support decision-making. At the same time, both literature and practice show that few initiatives get past the pilot phase, even though getting through that phase is essential for successful long-term adoption.

This paper presents a research-in-progress study on the development and application of an implementation method for LDT technology within the municipality of Veenendaal, based on human values rather than driven by technological possibilities. Based on …

Progress Without Consent: Ai Deployment And The Democratic Legitimacy Gap, Engin Obucic, Ekrem Nurovic, Mersid Poturak

Communications of the IIMA

Drawing upon critical and technology studies, this conceptual provocation introduces the concept of “Progress without Consent”, referring to the introduction of AI technological innovation into society without collective societal deliberation, legitimacy and consent. The paper problematises the introduction of structurally transformative AI technology into society, the strategy of depolitisation of this technology, robotic automation of society without social mandate, and the manner in which technological innovation moves faster than democratic institutions can process its implications on societal structures. Ultimately, the authors argue, the development and deployment of AI does not belong to isolated labs and the private sphere of technological …

Designing Classifact: Towards A Transparent And Secure Platform For Stakeholder-In-The-Loop Data Annotation, Philippine Waisvisz

Communications of the IIMA

AI systems depend on human judgment, yet many annotation workflows are either designed for data-science specialists or managed through external commercial platforms. The first approach may demand more technical skills than relevant stakeholders possess. The second can require organizations to transfer data, expertise, and governance to an outside provider. Both can limit the involvement of people who understand what data means in its real-world context. Human-in-the-loop approaches introduce human judgment. Stakeholder-in-the-loop annotation focuses on selecting and organizing people whose contextual knowledge fits the AI application.

This paper presents Classifact, a transparent and secure platform for stakeholder-in-the-loop data annotation and validation. …

A Novel Entropy Based Maintainability Measurement Algorithm For Java Source Code., Remi M. Yusuf Mr, Md Shadab Mashuk, Julian Bass

Communications of the IIMA

Software metrics play a central role in assessing and managing the quality of software systems providing quantitative insights into attributes such as complexity, reliability, rigidity, modifiability and maintainability. Among these, maintainability is particularly critical, as it directly influences the ease of system evolution, long-term sustainability, and overall cost effectiveness. Despite the widespread use of metric-based maintainability measurement algorithms, capturing a value that reflects the maintainability situation of software source code remains a challenging task, especially in the presence of design deficiencies such as code smells. To measure changes in maintainability, this study experimentaly characterises the relationship between code smells and …

Beyond Alternative Finance: A Multi-Case Study Of Relational Validation In The Moroccan Crowdfunding Ecosystem Through Signaling And Social Capital Theories, Lamya Bouziani, Jalal Azegagh

Arab Economic and Business Journal

This study examines how Moroccan entrepreneurs use crowdfunding as an alternative source of finance in a context characterized by limited access to traditional funding. Based on a qualitative multi-case design, the research draws on semi-structured interviews with ten entrepreneurs from different sectors and regions in Morocco. The study mobilizes Signaling Theory and Social Capital Theory to explore how entrepreneurs build trust and legitimacy throughout the crowdfunding process. The findings show that crowdfunding is perceived not only as a financing mechanism, but also as a way to overcome banking constraints and institutional limitations. Entrepreneurs rely on personal networks, storytelling, transparency, and …

Teacher Mentoring As A National Imperative: A Multi-Paper Dissertation, Ramiro Pesina

Human Resource Development Theses and Dissertations

This multi-paper dissertation investigates teacher mentoring as a critical intervention in human resource development designed to address the complex challenges facing the teaching profession, including high attrition rates and the need for sustained professional support. The study is organized into three connected studies: an integrative literature review on technology enhanced mentoring, a longitudinal qualitative study that devises a comprehensive mentoring model covering cognitive, emotional, and behavioral aspects, and a phenomenological case study in which a formally structured mentoring program in a North Texas school district is analyzed in terms of execution and outcome. Critically important findings indicate that well-crafted mentoring …

The Role Of Women In A Da’Wah: Mitigating The Bio-Psycho-Socio Problems Of Elderly Pilgrims Who Cancel Hajj, Hasyim Hasanah, Lukmanul Hakim

International Journal of Religious Tourism and Pilgrimage

The Hajj pilgrimage is the most sacred da’wah ritual and has resilience against global crises and the impact of COVID-19. The cancellation of the 2020-2021 Hajj pilgrimage has implications for the length of the waiting list and the bio-psycho-social conditions of elderly Hajj pilgrims. This study aims to identify the role of female Hajj pilgrims who failed to depart in overcoming bio-psycho-social problems. This study is a field study with a socio-psychological da’wah approach. Data were collected through a Google Form questionnaire, in-depth interviews, and documentation studies of 203 elderly Hajj pilgrims who failed to depart from the Semarang area. …

From Dissertation To Deployment: A Unified Software Platform Operationalizing Clinical-Prediction And Sequential-Security Ai For Healthcare, Olsi Shehu, Damiana Teliti, Jasmin Kevrić, Bekir Karlik

Communications of the IIMA

Advances in machine learning for healthcare are abundant, yet most validated models remain confined to research notebooks and never reach secure, usable clinical software. This paper addresses that deployment gap by presenting a unified, security-hardened software platform that operationalizes two complementary streams of doctoral research inside a single, role-based hospital information system. The first stream contributes a clinical-prediction capability: an ultra-hybrid ensemble that couples a quantum-inspired feature transformation, particle-swarm feature selection, and calibrated soft voting for cancer-outcome prediction (96.41% accuracy, AUC-ROC 0.983 on TCGA-BRCA), survival stratification, multi-cancer generalization, and pharmacogenomic drug-response classification (89.31% mean accuracy across 25 compounds). The second …

Ai-Supported Analysis Of Jury Deliberation Impact Factors, Jennifer Siciliani Phd

Generative AI Teaching Activities

Students conduct a controlled, two-run generative AI jury simulation to examine how a single socio-legal variable affects simulated jury deliberation. They compare and manually code the AI-generated outcomes against peer-reviewed human jury research to evaluate the model’s accuracy, limitations, and potential biases.

From Kitchen To Canon: Women And Culinary Recognition Executive Summary, Eulanda A. Sanders, Andra Harris

ICHRIE Research Reports

Despite women comprising a majority of the U.S. restaurant workforce, they remain significantly underrepresented in culinary leadership and elite recognition. Using an exploratory, descriptive design that draws on secondary data from the ACS, NRA, U.S. Census Bureau, and the James Beard Foundation, this study maps gender disparities across the culinary career pipeline. Women represent approximately 54% of the restaurant workforce but only 24.8% of chefs and head cooks, with a substantial gender wage gap persisting across the occupation (NRA, 2026; U.S. Census Bureau, 2024). Of 402 James Beard Award winners analyzed, 71.6% were male and 28.1% female. Disparities intensify at …

Adjusting To Extreme Demand Volatility: A Comparative Analysis Of Air Navigation Service Provider Financial Resilience In The Southern Asia-Pacific, Margaret Arblaster, Gui Lohmann

Research outputs 2022 to 2026

Air navigation service providers fund their operations almost entirely through activity-based user charges, creating a structural dependency between revenue and air traffic volume. When traffic collapses, revenue falls immediately, but the cost base, dominated by specialised labour under fixed-term employment contracts and long-lived capital infrastructure, adjusts slowly, if at all. This paper examines how five corporatised, wholly government-owned air navigation service providers in the southern Asia-Pacific (i.e., Airservices Australia, Airways New Zealand, AirNav Indonesia, NiuSky Pacific in Papua New Guinea, and Fiji Airports) responded to the extreme demand shock of the COVID-19 pandemic and assesses the role of government grants …

Um Dean's Report - Meeting The Challenge Of Educating Dentists In A Constantly Evolving Profession, Jacques E. Nör

The Journal of the Michigan Dental Association

University of Michigan School of Dentistry Dean Jacques Nör highlights the school's historical legacy during its 150th anniversary and details recent academic, clinical, and research progress. Key developments include the establishment of the state-of-the-art Digital Dentistry Center for in-house digital workflows, a pediatric certificate program in Social Epidemiology funded by a $2.1 million federal grant, the transition to Epic electronic health records (integrated with MyChart), and the community-based collaborative care rotation program in Marquette. The report also highlights national faculty leadership roles and $24.1 million in research funding.

Consumer Preferences And Technical Priorities For Salted Chicken Egg Products In West Java, Indonesia: A Quality Function Deployment Approach, Faizal Syahmurman, Roni Kastaman, Devi Maulida Rahmah, Yosini Deliana, Siti Nurhasanah, Efri Mardawati, Boy Macklin Pareira Prawiranegara

The Philippine Agricultural Scientist

Consumer expectations for salted chicken egg products are multidimensional, making it challenging to systematically translate customer requirements into technical product improvement strategies. The purpose of this study was to determine and rank consumer needs for salted chicken egg products in West Java, Indonesia, and to apply a House of Quality-based Quality Function Deployment (QFD) approach to convert these needs into prioritized technical requirements. A total of 120 consumers participated in a structured survey to evaluate 40 customer requirements. The House of Quality planning matrix integrated customer importance, comparative product performance, improvement requirements, and sales-point considerations to determine customer priorities. The …

A Game-Theoretic Approach To Customer Rating Of Hotels On Ota Platforms, George Lymperis, Lambros B. Drossos

Journal of Global Business Insights

This study develops a game-theoretic model of moral hazard in hotel–guest interactions on Online Travel Agency (OTA) platforms, addressing a question the reputation literature has largely overlooked: can customer reviews discipline hotel behavior even in genuinely one-shot transactions, where a guest and hotel never interact again? Standard repeated-game accounts of reputation rely on a shadow of the future that is absent in tourist-dependent markets dominated by one-time visitors. Drawing on principal–agent theory and community-enforcement models of reputation, we model the hotel–guest interaction as a static moral hazard game in which a neutral OTA verifies and enforces review-based penalties. Hotels choose …

Market Orientation And Strategic Performance In Global Firms: A Sequential Mediation Model Of Innovation And Supply Chain Resilience, Meisam Karami

Journal of Global Business Insights

This study examines how market orientation is associated with strategic performance in globally operating firms through the sequential mediating roles of innovation and supply chain resilience. Drawing on the Resource-Based View and Dynamic Capabilities Theory, the research proposes a capability-sequencing framework in which market orientation reflects a sensing capability, innovation represents a seizing capability, and supply chain resilience embodies a reconfiguring capability that stabilizes value creation under environmental disruption. Using cross-sectional survey data from 356 manufacturing and service firms engaged in international activities, partial least squares structural equation modeling was employed to test the hypothesized relationships. The results indicate that …

J Mich Dent Assoc Sept. 2026

The Journal of the Michigan Dental Association

Each month, the Journal of the Michigan Dental Association delivers news, information, and features about Michigan dentistry to our state's oral health community and the MDA's 6,200-plus members. It remains the main publication reaching Michigan dentists and is available worldwide through ADA Commons.

The September 2026 (Volume 108, No. 9) issue of the Journal is published in print format to provide updates and insights for Michigan's oral health community and MDA members. Print editions occur every other month beginning with January.

This full compilation of the September 2026 Journal of the Michigan Dental Association features the deans' reports from the …

Oil Futures Reactions To Monetary Policy Surprises: A High-Frequency Analysis, Syed Mujahid Hussain Dr., Basel Awartani, Farrukh Javed, Iqbal Khadaroo Dr., Nader Virk Dr.

Bulletin of Monetary Economics and Banking

This study examines how oil futures respond to monetary policy shocks arising from FOMC and ECB target-rate announcements, using high-frequency data. The results indicate that both sets of announcements significantly influence oil futures prices. However, FOMC decisions have a more pronounced effect on oil futures, whereas ECB interest rate surprises predominantly have a limited impact on the oil futures return and volatility. The analysis further uncovers an asymmetric response to positive versus negative interest rate shocks. These findings enhance the understanding of how monetary policy surprises are transmitted to oil futures markets. Therefore, these results have important implications for policymakers …

The Application Of Machine Learning And Deep Learning On Demand Forecasting Across Time-Critical Industries: A Systematic Review, Asmaa Seyam, Sujith Samuel Mathew, May El Barachi, Cheng Zhang, Jun Shen

All Works

The applications of machine learning and deep learning in demand forecasting have attracted increasing attention, as they offer remarkable predictive capabilities that help automate forecasting processes and achieve higher accuracy. While numerous review studies have examined solutions within specific industries, there is a lack of comprehensive literature review investigating these solutions across different sectors. Therefore, this study overviews machine learning and deep learning applications in demand forecasting across time-critical industries, including power, tourism, water, transportation, and food. A two-tier classification framework is proposed to categorize demand forecasting studies by both application industry and methodological architecture. In addition, the most popular …

Reappraisal Of Adverse Weather As A Catalyst For Special Tourism Experiences, Valério Souza-Neto, Brent Moyle, Yawei Jiang, Gui Lohmann

Research outputs 2022 to 2026

On any given day millions of travellers find themselves contending with weather that deviates dramatically from prior expectations. Traditionally regarded as an unwelcome disruption, adverse weather has rarely been examined for its potential to enrich, rather than diminish, the value of tourist experiences. Consequently, this research critically explores how tourists positively reappraise adverse weather disruptions in tourism experiences. Based on eight focus groups (n = 42), transcript data were analysed using reflexive thematic analysis within a social-constructivist paradigm, combining iterative coding with abductive reasoning. Findings demonstrate that adverse weather can function as a situational catalyst that enables tourists to reinterpret …

Do Dynamic Capabilities Moderate The Effect Of Managerial Attitudes On E-Marketing Adoption? Evidence From Small And Medium Tourism Enterprises In Zanzibar, Hilal Maabad Ame, Omari Khalifa Mbura, Amani Gration Tegambwage

Business Management Review

This study examines the influence of managerial attitudes and dynamic capabilities on e-marketing adoption among Small and Medium Tourism Enterprises (SMTEs) in Zanzibar. Grounded in the Decomposed Theory of Planned Behaviour (DTPB) and Dynamic Capabilities Theory (DCT), the study tests the effects of perceived ease of use, perceived usefulness, compatibility, and perceived security on e-marketing adoption, with dynamic capabilities examined as a moderating factor. Data were collected from 216 SMTEs operating in the Urban and South Regions of Zanzibar and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that perceived ease of use and perceived security …

Clinic-In-A-Box: A Portable, Software-Defined Cyber Range For Realistic, Scenario-Based Cybersecurity Training, Ethan Chumley, Aaron Nair, Royce Yaezenko, Joshua Payne, Veronika Kyles, Paul Wagner, Robert J. Honomichl, Ryan Straight, Shengjie Xu

Journal of Cybersecurity Education, Research and Practice

Realistic, hands-on cybersecurity training has traditionally depended on fixed infrastructure such as dedicated lab hardware, cloud subscriptions, or permanent network connectivity, limiting where and how often it can be delivered. This paper presents the design and implementation of a portable, scenario-based cybersecurity training platform housed in a single travel case and built from commodity hardware, type-1 hypervisor virtualization, containerized service orchestration, and software-defined networking. The platform clones, isolates, and resets complete lab environments on demand, allowing the same physical system to support repeated classroom, workshop, or field deployments with minimal manual reconfiguration. Training scenarios are grounded in generated organizational profiles …

A Discrepancy Evaluation Of Workforce Capacity And Emerging Skills: A Utah Case Study, Lendel K. Narine, Paul A. Hill, Andreé Walker-Bravo

Extension Research

This study examined employer-perceived competency discrepancies, anticipated competency requirements, hiring barriers, and valued educational experiences in Utah. Survey data were collected between September and October 2025 from 226 individuals with hiring responsibility in Utah-based organizations. The Ranked Discrepancy Model (RDM) quantified discrepancies between respondents’ ratings of competency importance and their satisfaction with demonstrated employee proficiency. Respondents reported the largest discrepancies for time management, critical thinking, conflict resolution, ethical judgment, and verbal communication of ideas. Respondents rated communication, collaboration, analytical thinking, and lifelong learning highest among competencies anticipated to matter most over the next five to ten years. Most employers identified …

What Drives Consumers To Use Insurtech Apps? The Role Of Insurance Literacy, Jia Chun Chia, Hui Shan Lee, Bik Kai Sia

International Journal of Management, Finance and Accounting

Although financial technology has spread worldwide, the adoption of InsurTech in Malaysia is still low because of the knowledge-action gap, in which people continue to use traditional agents. This study examines the factors that determine behavioral intention to use InsurTech apps by incorporating the Unified Theory of Acceptance and Use of Technology (UTAUT) and including a novel insurance literacy factor. A cross-sectional quantitative research design was adopted, and 406 valid responses were gathered from 406 Malaysian Generation Z individuals and analyzed using partial least squares structural equation modelling (PLS-SEM). The findings indicate that the model explains 58% of the variance …

"Why Do Students Save Less?" A Study Of The Determinants Of Saving Intentions And Behaviours Among Undergraduate Students, Rna Hamza Ahmed Eissa, Chi Hau Tan, Ben Hou

International Journal of Management, Finance and Accounting

Despite the issue of low savings being a serious concern, limited research has been conducted on students’ saving behaviour in Malaysia, especially when it comes to private universities. This research focuses on examining factors that affect saving behaviour among undergraduate students at a private university in Malaysia, in reference to the Theory of Planned Behaviour. A mixed-method design was applied. Quantitative research was conducted, in which 122 valid responses were collected via an online survey and analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). In addition, qualitative research with 11 respondents was conducted, and the data were analysed using …

Impact Of Green Finance On Environmentally Sustainable Development Goals, Shu Min Loh, Hui Shan Lee, Leong Mow Gooi, Suwen Xie

International Journal of Management, Finance and Accounting

In this context, climate change represents a real phenomenon with significant implications for economies, industries, and societies worldwide. In the context of the Regional Comprehensive Economic Partnership (RCEP) agreement, these implications are significant, given that the countries in question cumulatively account for a considerable share of global emissions, energy consumption, and industrial production. As these countries aim for a carbon-neutral future and continue the path toward the achievement of the Sustainable Development Goals (SDGs) set for 2030, the question for these countries, therefore, is not whether they should act but how they can act in a sustainable manner toward a …

Understanding Trust As A Mediating Mechanism In Ai-Based Medical Tools And Clinical Decision Processes, Shanthi Isparan, Seow Ai Na, Chang Jing Jing, Hew Jun Jie

International Journal of Management, Finance and Accounting

The growing integration of artificial intelligence (AI) in healthcare has transformed clinical decision-making. Nevertheless, doctors’ engagement with AI-based tools remains hindered, particularly due to trust-related concerns. The purpose of this study is to examine the factors influencing doctors’ engagement with AI-based medical tools, with a focus on the mediating role of trust within the Unified Theory of Acceptance and Use of Technology (UTAUT). Data were collected from 197 doctors in Selangor and Kuala Lumpur through a structured survey and analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) with SmartPLS 4 software. The findings reveal that performance expectancy, effort expectancy, …

Does Realised Range Volatility Improve Multivariate Volatility Forecasting? Evidence From Bursa Malaysia Sectors, Mariam Mohamed Abdelwahab Mohamed Badawi, Sew Lai Ng, Ruzanna Ab Razak, Shaikh Fazlur Rahman

International Journal of Management, Finance and Accounting

This study examines whether realised range volatility improves multivariate volatility forecasting performance in an emerging equity market setting. A comparison between vector heterogeneous autoregressive models constructed with realised volatility, realised range volatility, and conventional return-based volatility measures is conducted using sectoral data from the Bursa Malaysia. High-frequency data from September 2018 to December 2024 were collected from the financial data provider Bloomberg. The analysis evaluates out-of-sample forecasting accuracy using a set of 5 loss functions, including symmetric (MSE and MAE) and asymmetric (QLIKE) criteria. The outcomes provide compelling and strong evidence that realised range volatility measures deliver superior forecasting performance …

Knowledge Spillovers, Related And Supporting Industries, And Government Intervention: An Integrated Framework For Cluster-Driven Corporate Innovation, Qinying Lei, Lai-Ying Leong, Annie Cheng San, Ng

International Journal of Management, Finance and Accounting

Late-developing inland clusters face a notable innovation paradox, in which substantial industrial capacity coexists with weak firm-level innovation. Existing research identifies knowledge spillovers, related and supporting industries, and government intervention as major external drivers of innovation, but pays limited attention to how these external conditions are transformed into corporate innovation capability. Drawing on Regional Innovation System Theory, Dynamic Capability Theory, and Porter’s Diamond Model, this study develops an integrated framework comprising seven propositions on direct effects, mediated pathways, and contextual variation. It proposes that cluster performance, defined as the effectiveness of cross-organisational coordination, mediates the relationship between external cluster conditions …

Dividend Yield Modelling And Forecasting Under The Wilkie Investment Model With Inflation Effects: Evidence From Malaysia, Ilya Adlina Abd Halim, Norizarina Ishak, Siti Raihana Hamzah, Ahmad Fadly Nurullah Rasedee

International Journal of Management, Finance and Accounting

This study uses the Wilkie Investment Model in the context of the Malaysian stock exchange, incorporating inflation as a significant factor in explaining investment behavior in line with local economic conditions. Although the Wilkie model is broadly utilised in actuarial science and has been assessed in many developed countries, its use in emerging markets such as Malaysia is still limited. Based on historical data from Malaysia, both the dividend yield and inflation series were revealed to be stationary using the Augmented Dickey-Fuller (ADF) test. Therefore, the series is applicable for time series analysis. The study used Malaysian data to estimate …