Digital Commons Network^™

Urban Megaregions In The United States: A Gis-Based Approach To Defining A New Regional Geography, Jonas Rugys

West Chester University Graduate Theses, Dissertations, and Final Projects

This study investigates urban megaregions in the United States. The regional concept is examined from its origins in the geographic tradition as well as its transformation in the twentieth century to its current state. A GIS-based methodology for defining urban megaregions is presented and discussed. The results challenge existing assumptions of population and employment growth in the United States.

Sales Prediction In Omnichannel Distribution Systems Based On Consumer Behavior Using Process Mining And Arimax, Ferra Arik Tridalestari, Mustafid Mustafid, Ferry Jie, Hanung Nindito Prasetyo

Research outputs 2022 to 2026

Omnichannel distribution integrates multiple sales channels into a single management platform to enhance customer experience. However, the complexity of consumer behavior data across channels often prevents business owners from effectively analyzing and predicting sales. This study proposes a sales prediction model in omnichannel distribution systems based on consumer behavior using a collaborative approach that integrates process mining and autoregressive integrated moving average with exogenous variables (ARIMAX). Event log data from an omnichannel service provider were used to extract consumer activity patterns, which were then analyzed through process discovery algorithms to identify dominant behavioral processes. The resulting behavioral indicators served as …

Determining The Carbon Footprint Of Australia’S Electricity, Gas, Water And Waste Services Sector, Soheil Kazemian, Rashid Zaman, Behzad Foroughi, Morteza Ghobakhloo

Research outputs 2022 to 2026

Purpose – This study aims to address the global challenge of quantifying sectoral carbon emissions, offering a scalable methodology applicable across diverse national contexts. As one of the world’s leading greenhouse gas emitters, Australia has a critical role in achieving the Paris Climate Change Agreement’s net-zero emissions goal by 2050. The utility services sector – electricity, gas, water and waste services – has historically been Australia’s largest source of CO2-equivalent emissions. However, this also highlights its significant potential to contribute to national emission reductions through targeted mitigation strategies. This research analyses the total carbon footprint of Australia’s utility services sector …

How Supply Networks Influence Sustainable Innovation: Evidence From Ghana's Public Works Procurement, Peter Adjei-Bamfo, Hadrian Geri Djajadikerta, Kerry Brown, Ferry Jie, Reza Kiani Mavi, Alain Neher

Research outputs 2022 to 2026

Recent environmental and sustainability standards in procurement increase short-term production and operational costs to suppliers, which are often recouped by charging price premiums for innovative solutions. However, public buyers are less likely to pay such price premiums, resulting in a disincentive among suppliers to bid for innovation (unique) contracts. This article examines how innovation procurement stimulates network emergence to mitigate innovation costs and facilitate suppliers' sustainable innovation capacity. We inductively analyse interview responses, observations, archival data and modified Delphi discussions with technical experts involved in innovation-oriented public works procurement projects (i.e., building, water and road infrastructure) in Ghana. Our findings …

The Influence Of Ai Tool Dependence On Students’ Perceived Preparedness And Confidence In Higher Education, Julia Fichera

Honors Theses and Capstones

As AI tools are becoming more integrated in higher education, how these tools may impact students’ perceptions of their own independent writing and communication skills has been questioned. This study seeks to understand how reliance on AI writing tools in higher education influences students’ perceived preparedness and confidence in their independent writing and communication skills. Survey data was collected from 102 university students; after removing incomplete entries, 99 responses were included in the final analysis. The data was analyzed using descriptive statistics, Spearman correlations, and Mann-Whitney U tests.

The tests reveal that greater AI reliance is associated with lower self-perception …

Algorithm Envelopment In Platform Markets, Liang Chen, Zhou Zhou, Lester Chan

Research Collection Lee Kong Chian School Of Business

The theory of platform envelopment rests on network effects as the key mechanism for value creation, which nonetheless receives mixed support for its efficacy in determining competitive outcomes. We argue that the value of network effects depends on matching quality, which is a function of platform-specific algorithm technology and market-level data-driven learning. In formalizing these conceptualizations, we analyze a model that demonstrates how an entrant with a superior algorithm technology may outcompete an incumbent possessing a user base advantage, a strategy we call “algorithm envelopment.” By considering specific characteristics of data-driven learning, our analysis leads to propositions regarding the entry …

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 …

Bargaining Inefficiency Due To Mispricing Under Incomplete Information : Evidence From The Bilateral Oligopolistic Containership Time Charter Market, Jaeung Cha

World Maritime University Ph.D. Dissertations

A well-established body of bargaining studies theoretically demonstrates that inherent limitations in observing the counterplayer’s private information give rise to an incomplete information setting in bargaining, leading to efficiency losses associated with mispricing, costly delays, and even bargaining failures. As the shipping market, a business-to-business market in which products are generally heterogeneous and the number of both sellers and buyers is limited by high entry/exit barriers, relies on a bargaining mechanism to determine tailored transaction prices, market pricing is prone to inefficiencies associated with incomplete information. However, the relevant empirical evidence remains underexplored in both the shipping finance and bargaining …

Board Attributes, Firm Performance, And The Moderating Role Of National Culture: A Meta-Analysis, Matthew Farrell, Chris H. Willis, Nathapon Siangchokyoo, Ryan L. Klinger, Jamil Kreugel, Hami Usta, Timiry R. Tian, Ying Thaviphoke, Samuel Wilson

Management Faculty Publications

Research Question/Issue

The impact of board structures on firm performance remains a contentious governance topic with competing theoretical paradigms and inconclusive empirical support. Scholars propose that national culture could reconcile contradictory evidence; yet, argumentation is fragmented and direct tests are rare. We meta‐analyzed 513 samples across 54 countries to examine relationships between board structures (i.e., board size, board independence, and CEO duality) and firm performance. We model national culture, using Hofstede's six cultural dimensions, as moderators to test whether these relationships align with agency or stewardship theory across different cultural settings.

Research findings/insights

Findings indicate a substantial moderating role of …

The Fox Versus The Hedgehog: Firm Survival During Unprecedented Crises, Sheng Fang, Shaomin Li, Liu Wang

Management Faculty Publications

This paper examines how sales channel diversification influences firm resilience during the COVID crisis. Drawing on a series of logit regressions analyzing 11,662 firms across 31 developing countries, we find that firms embodying an open mind-set and a diverse array of sales channels, akin to foxes, are more likely to survive, as compared to their hedgehog counterparts, which focus on one particular task. Our mediation analysis suggests that this is mainly due to their faster growth in sales and exports. Moreover, we find that the impact of fox-like traits on firm survival is moderated by female leadership and corporate innovation.

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 …

The Bite Model And Multi-Level Marketing: How Monat Propagates, Lilly D. Cheung

Graduate Studies Theses and Dissertations 2026

This study aims to understand how MONAT Global Corp, a Multi-Level Marketing (MLM) company, utilizes rhetoric that aligns with Steven Hassan’s BITE Model of Authoritarian Control. Hassan is a cult expert and cult survivor whose work primarily explains undue influence and thought control with BITE representing Behavior, Information, Thought, and Emotional control. The MLM MONAT is a haircare brand that operates through a recruitment-and-sales-based hierarchy, in which sellers sign up and work under one another in a layered marketing structure. To meet quotas and maintain ranks, representatives will use rhetorical strategies to recruit new sellers beneath them in their ‘downline’ …

Discovery: The Student Journal Of Dale Bumpers College Of Agricultural, Food And Life Sciences - Volume 27 2026, Several Authors

Discovery, The Student Journal of Dale Bumpers College of Agricultural, Food and Life Sciences

No abstract provided.

From Monasteries To The Market: The Legal And Spiritual Economies Of Himalayan Art In China, Hengshi An

MA Theses

In recent years, the Himalayan art market in China has shown a remarkable transformation, emerging as one of the most dynamic segments within the broader Asian art economy. While much of the global and domestic art market has stagnated, Tibetan and Himalayan artworks have achieved sustainable growth and high auction price with major collections been published, showing structural strength rather than speculative enthusiasm. This paper examines the drivers behind this phenomenon through a qualitative analysis of auction data, dealer networks, and collector behavior across key hubs in China such as Beijing, Chengdu, Shanghai, and Hong Kong. The findings suggest that …

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 …

From Ai Ethics To Ethical Misalignment: Understanding Emerging Risks In Agentic Ai Systems, Deb Tech, Aravindh Sekar

Research & Publications

The emergence of Agentic AI systems is reshaping organizational processes through continuous adaptation, autonomous coordination, and real-time operational execution. Unlike traditional artificial intelligence applications focused on discrete decision-making tasks, Agentic AI systems operate continuously and interact dynamically with organizational environments. Existing AI ethics literature has primarily emphasized issues such as fairness, bias, transparency, and accountability within static or decision-centric AI contexts. Similarly, traditional AI alignment research has largely focused on ensuring that AI systems pursue intended goals and remain controllable under specified operational conditions. However, these approaches may be insufficient for explaining how ethical risks evolve with continuously operating autonomous …

Enhancing Hospital Length Of Stay Using Ai Agent Modular Capabilities, Dami Fred

Theses and Dissertations

Hospital Length of Stay (LOS) analysis is essential for managing hospital efficiency and financial performance, yet the analytical depth required remains inaccessible to many organizations due to technical and resource constraints. This thesis introduces the AI Agent Modular Capabilities (AIAM) framework, which decomposes LOS analysis into discrete, codifiable capabilities integrated into a single skill activatable with one prompt. Seven AI Agent Modular Capabilities were developed using a Work Breakdown Structure and tested against a simulated hospital scenario across three successive skill versions. Results demonstrate that the packaged AIAM skill produces comprehensive, consistent, multi-section LOS analyses from a single interaction, outperforming …

Data Utilization In Facilities’ Performance Management Decision- Making At U.S. Four-Year Public Institutions: A Cross-Sectional Exploratory Study, Tanaporn Supanichrattana

Theses and Dissertations

The growing complexity of higher education finance, aging infrastructure, and rising accountability expectations has intensified demands on facilities organizations to manage institutional assets strategically. As colleges and universities face sustained fiscal constraints and expanding operational pressures, the ability of facilities leaders to use data to inform performance management has become increasingly critical. Despite this importance, limited empirical research has examined how facilities leaders integrate data into decision-making within public higher education contexts.

The quantitative study employed a cross-sectional, exploratory survey design to investigate data utilization practices among facilities leaders at U.S. public four-year institutions. Guided by the Data–Information–Knowledge–Wisdom hierarchy and …

Comparison Of Basil (Ocimum Basilicum L.) Cultigens In A Controlled Environment Vertical Farm, Sarah R. Stevens

Theses and Dissertations

Vertical farming is the production of plants in a completely controlled, enclosed environment and represents an advanced, sustainable method to grow basil and other leafy crops. Vertical farming offers 365 days of continual production, using minimal input and efficient, low water usage. For this study we compared five different basil cultivars side-by-side under the same growing conditions in a controlled environment. The basil cultivars compared were, Sweet Thai, Genovese, Holy, Cinnamon, and Greek basils. During growth, data was collected three times for each cultivar including plant length, internode length, number of nodes, number of leaves per stem, SPAD (Soil Plant …

Learning Sustainability Under Tension: Experiential Learning And Reflexive Sensemaking In A Place-Based Simulation, Moon Kyung Cho, Nereu F. Kock, Nargis Sultana

Business Faculty Publications

This study examines how sustainability judgment develops in place-based experiential learning as learners navigate tensions between financial performance and environmental responsibility. Using a team-based, technology-enabled business simulation situated in a place-based context, participants managed a simulated company over eight quarters and subsequently reconsidered their decisions from the perspective of external auditors. The findings show that sustainability judgment developed iteratively through experience, reflection, and sensemaking. Participants distinguished sustainability practices according to their strategic and integrative potential and increasingly recognized that sustainability investments could support operational efficiency, innovation, and long-term financial viability rather than necessarily conflict with financial objectives. Place directed attention …

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 …

How Dentists Can Remain Advisors Of Merit To Their Patients, Daniel L. Orr Ii, Dds, Ms (Anesth), Phd, Jd, Md, Facd (Nevada Section Chair)

Journal of the American College of Dentists

This article examines how members of the dental profession can sustain their longstanding reputation as trusted advisors amid declining public confidence in major institutions. Grounded in ethical principles, informed consent, and professional self-regulation, dentistry has historically ranked among the most trusted professions. The discussion explores challenges to credibility, including media scrutiny, concerns about anesthesia safety, controversial treatment hesitancy, and debates over community water fluoridation. Emphasizing the concept of the “advisor of merit,” the author argues that continued trust depends on truthful communication, transparency about risks, respect for patient autonomy, and freedom from conflicts of interest in clinical and public health …

Developing A System Dynamics Framework For Sustained Digital Transformation, Quintal Battle

Graduate Studies Theses and Dissertations 2026

Despite significant organizational investments, more than 70% (Ellmer et al., 2025) of digital transformation initiatives fail. The existing literature evaluates transformation mechanisms as separate factors rather than as interacting, evolving feedback systems. This dissertation addresses this gap by developing and validating a system dynamics framework for sustained digital transformation. Guided by three research questions, the study examined the mechanisms that enable or constrain transformation, identified mechanisms distinctive to digital transformation contexts, and evaluated how existing change management frameworks guide transformation efforts. The study followed a six-phase methodology that combined a systematic literature review of peer-reviewed studies, empirical cases, causal loop …

Cultivating Workplace Happiness In Technology Workers, Cherie A. Herrin

Graduate Studies Theses and Dissertations 2026

Technology workers are central to the innovation and performance of modern organizations and retaining them is a persistent challenge for modern organizations. One important aspect of retention in many contexts is Workplace Happiness, which has been argued to improve worker performance and reduce turnover; however, there is little empirical evidence of the effectiveness of these interventions for technology workers. This dissertation develops a model in which two affective states, Workplace Happiness and Workplace Distress, mediate the relationships between six socio-technical work conditions and two behavioral outcomes: Turnover Intent and Work Execution (i.e., self-rated work performance and quality). A systematic literature …

Strategic Signaling Or Structural Friction?: How Ai Disclosure Moderates Resource-Performance Dynamics In Hotels And Restaurants, Jaewan Heo

Graduate Studies Theses and Dissertations 2026

Artificial intelligence (AI) has become an increasingly important strategic issue in the hospitality industry. While prior research has primarily examined AI as an operational technology that improves efficiency and service delivery, less attention has been paid to how AI-related disclosures influence investor evaluations of firm resources. This dissertation investigates whether AI-related disclosures moderate the relationship between organizational resources and financial performance in publicly traded hospitality firms.

Drawing on signaling theory and the resource-based view, this study conceptualizes AI disclosures as strategic signals that shape investor perceptions of firm capabilities and future value creation. Firm-level financial data were obtained from Compustat …

Two Papers Exploring Cognitive Fit Theory And Data Visualization In Accounting, Kelly Wellman

Graduate Studies Theses and Dissertations 2026

This dissertation examines how data visualization design influences judgment and decision making in accounting using cognitive fit theory as a unifying framework. As visualization tools such as dashboards, Excel, Tableau, and Power BI become increasingly prevalent, understanding which design choices improve performance has become critical. The first paper provides a structured literature review of cognitive fit theory from 1991 through 2025, synthesizing research across accounting and related disciplines and tracing its evolution from early graph vs tables comparisons to mor recent work incorporating task complexity, individual differences, and design-specific features. The review identifies key gaps, including limited attention to difference …

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 …

Economic Instrumentality Report Of Work & Occc, Manuel A. Rivera, Stephen Pratt, Frank Badu-Baiden, Margaret Zorrilla

Hospitality+™ Center for Innovation and Training

This report presents a comprehensive overview of the workforce supporting the OCCC, based on a research partnership with the University of Central Florida’s Rosen College of Hospitality Management. The analysis integrates nine interconnected studies examining workforce characteristics, job satisfaction, quality of life, commitment, retention, financial sustainability, and perceptions of meaning in work. Findings are based on 299 valid responses, representing front-line, supervisory, and managerial employees across the Central Florida events and tourism ecosystem.

Paid Search Marketing Vs. Search Engine Optimization: Analytical Models Of Search Marketing Based On Search Engine Quality, Kai Li, Chunyang Shen, Mei Lin, Zhangxi Lin

Research Collection School Of Computing and Information Systems

As search engines are leading revenue growth in online marketing, search marketing has become a popular area of academic research. Although search engine advertising has interested researchers for decades and much has been learned, one thing that puzzles scholars is why search engine optimization companies are tolerated rather than excluded from the market, even though they capture a significant share of the advertising market. In this paper, we shed light on this phenomenon and establish an analytical model based on organic search quality. Through analysis of the model, we were able to draw several intriguing conclusions. First, there is no …

The Impact Of Shariah Law, Liquidity And Interest Rate On Sukuk Growth In Malaysia In Short And Long Run: The Ardl Estimation, Dheya Hamood Saif Al-Fakih, Shahsuzan Zakaria, Md Khairu Amin Ismail

The Indonesian Capital Market Review

The issuance of sukuk has been steadily increasing over time, underscoring its growing significance and the need for further scholarly examination. As a global leader in the Islamic finance industry and a prominent issuer of sukuk, Malaysia serves as a critical case study for understanding this phenomenon. It is essential to investigate various factors and their impact on the growth of sukuk. The study analyzes the relationship between sukuk growth and factors such as interest rate, liquidity (M1), and Shariah law using monthly data from April 2011 to December 2020 obtained from Thomson Reuters Eikon. The study employs the ARDL …