Management Information Systems Commons^™

Cognitive Load In Law Enforcement Decision Support Systems: A Human-Centered Evaluation Of Traditional And Ai-Enhanced Mdts, Benjamin Burchfield

Dissertations

This dissertation investigates the cognitive and usability associations of mobile data terminal (MDT) systems used by law enforcement officers during routine operational tasks. Grounded in Cognitive Load Theory (CLT), Human-Computer Interaction (HCI), and the Technology Acceptance Model (TAM), the research examines how MDT interface design and interaction methods including AI-enhanced and speech-enabled interfaces are associated with perceived cognitive workload, technology acceptance, and operational performance during simulated traffic stop scenarios. Using a framed field experiment with active law enforcement officers, the study evaluates relationships among user experience, perceived cognitive load, task performance, and officers’ willingness to adopt MDT technologies.

Ai-Augmented Financial Advisors: Comparing Ai And Human Analyst Investment Recommendations In Agreement, Performance, And Firm Size Effects, Crystal Chen

Honors College Theses

This study examines the level of agreement and performance between artificial intelligence (AI) generated investment recommendations and human analyst recommendations across U.S. publicly traded firms. Using a sample of twelve companies categorized by firm size (large, mid, and small), the study collects buy, hold, or sell recommendations from generative AI systems and human analysts. Agreement between AI-to-AI and AI-to-human recommendations is measured using Cohen’s Kappa agreement. Portfolio performance is evaluated by constructing equal-weighted portfolios for each recommendation source and size category. Risk-adjusted returns are measured using the Sharpe ratio over 1-, 2-, and 3-month periods. Furthermore, the study tests whether …

A Practical Leadership Guide For Student Organization President And Officers, Adrian Hernandez

Honors Capstones

This capstone project focuses on the development of a leadership playbook designed to support student organization leaders through practical guidance, organizational strategies, and leadership systems grounded in real experiences. The project was inspired by my experience serving as President of Pi Sigma Epsilon and the leadership challenges commonly faced within student organizations. Throughout my time in leadership, I observed how communication, structure, accountability, and organizational culture directly impacted the success and sustainability of organizations. These experiences motivated the creation of a resource that could help future student leaders navigate leadership responsibilities more effectively while building stronger and more sustainable organizations. …

Large Language Models As A Detector For Political Deepfakes, Gracie L. Roberts

Honors Theses

The advancement of generative artificial intelligence has allowed for the creation of highly realistic political deepfakes, posing significant threats to democratic integrity and trust in governmental institutions. This study investigates the effectiveness of Large Language Models (LLMs) as detectors for political deepfakes, specifically exploring their ability to address the transferability, interpretability, and robustness limitations inherent in traditional detection systems.

The research was conducted in four steps including data collection, model selection, experimental testing, and evaluation. Two datasets were used in this study. The first dataset uses 833 fake images from the Political Deepfake Incidents Database (PDID) and 833 real images …

Small Businesses: A Comprehensive Investigation Into Data Quality's Impact On Security, Privacy, And Governance, Deveeshree Nayak

Theses and Dissertations

This dissertation investigates the extent to which deficiencies in data quality, specifically accuracy, completeness, consistency, timeliness, validity, and uniqueness, undermine data security, privacy compliance, and governance effectiveness in small businesses (fewer than 200 employees and annual revenues under $10 million) in Washington State. Although data are increasingly viewed as a strategic asset, empirical research on how poor data quality amplifies cyber risks and regulatory exposure in resource-constrained environments remains limited. A convergent mixed-methods design was employed. A purposive survey captured practitioner perceptions from nine small-business professionals regarding the impact of data quality on security (CIA triad), privacy (accuracy and transparency …

Examining Data Quality Management Practices In Light Of The Adoption Of Llms And Genai: Closing The Gap Between Iq Theory And Iq Practice, Venant Habamungu

Theses and Dissertations

The rapid adoption of Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) has intensified longstanding data quality concerns while exposing important gaps in current Data Quality Management (DQM) practice. This dissertation examines whether widely used DQM frameworks sufficiently address semantic data quality dimensions that are critical for trustworthy GenAI and LLM applications. Guided by Information Quality (IQ) theory, particularly the Wang and Strong conceptualization of data quality, the study evaluates selected DQM frameworks used in practice to determine the extent to which they emphasize semantic dimensions such as accuracy, value-added, relevancy, objectivity, reputation, believability, security, and appropriate amount of …

Factors Influencing Patient Recall For Follow-Up In The Multi-Stage Deployment Of Medical Intelligent Screening Systems, Wenjie Chen

Dissertations and Theses Collection (Open Access)

With the deep integration of artificial intelligence (AI) technology in the healthcare sector, intelligent screening systems have achieved significant breakthroughs in predictive accuracy; however, they commonly face a management challenge in clinical implementation: accurate early warnings but limited patient recall. To address this ineffective technological empowerment issue in practice, this study proposes a theoretical framework featuringbidirectional interactions between "technological empowerment" and"relational empowerment" based on empowerment theory to systematicallyinvestigate the dynamic evolution mechanisms and boundary conditions of patient recall willingness under multi-stage, cross-departmental deployment of medical intelligent screening systems. Using a leading municipal hospital as the primary experimental setting, the study …

Investigating Machine Learning As An Anomaly Detection Tool In College Basketball, Eli G. Whitaker

Honors College Theses

Artificial Intelligence (AI) and Machine Learning (ML) are more commonly becoming tools that organizations use to prevent, detect, and deter fraud. Like other organizations, the amount of fraud that the National Collegiate Athletic Association (NCAA) faces is growing at an alarming rate. The primary issue involves athletes that undermine the integrity of their sport by purposefully playing below their true potential as participants in broader betting-related schemes. This thesis focused on Division 1 Men’s Basketball evaluates the viability of using supervised ML to detect anomalies in team performance over games in recent seasons. Anomalies, like red flags in the context …

Creepy Or Customized? Understanding The Ethical Boundaries Of Ai-Powered Personalization, Hope Schultz

Honors Projects

Artificial intelligence has taken the world by storm, and its presence in our lives only continues to grow. Not only has it changed the way we live and interact with technology, but it has also fundamentally changed how businesses reach customers, particularly in marketing. It now powers the algorithms, predictions, and personalized experiences that shape nearly every digital interaction we have as consumers, including the videos we see on TikTok, the products that are recommended to us on Amazon, and the weirdly accurate ads that pop up across different platforms. These AI-powered systems are constantly learning from tiny behaviors we …

Examining Factors Influencing Customer Loyalty In Omnichannel Retailing: The Mediating Role Of Customer Experience, Min Xiuxia

Student Works (2020-2029)

Research aims: This study aims to investigate factors that influence customer loyalty in omnichannel retailing and mediating role of customer experience. It also examining an impact of customer engagement on customer loyalty within the omnichannel context. Design/Methodology/Approach: A quantitative research design was employed using a structured online questionnaire distributed to consumers in Malaysia who had purchased from the same retail brand through both online and offline channels. Data were analysed using Smart PLS (Partial Least Squares) Structural Equation Modelling (PLS-SEM) to test the hypothesised relationships among omnichannel characteristics, individual characteristics, customer experience, customer engagement and customer loyalty. Research findings: The …

Governing Bme Amplification In Large Language Models: A Standards-Aligned Framework For Llm Data Lifecycle Risk Detection And Ethical Ai Governance, Dale A. Rutherford

Theses and Dissertations

Large Language Models (LLMs) now underpin critical systems in education, healthcare, and policy advisory contexts, yet remain susceptible to the recursive amplification of bias, misinformation, and error (BME). These distortions, driven by feedback loops between user interactions, model retraining, and data reuse, accelerate epistemic drift and erode information quality over time. This dissertation advances a comprehensive governance architecture to detect, quantify, and mitigate these risks across the full AI lifecycle. The research introduces the BME Metric Suite, a standards-aligned diagnostic framework comprising five original metrics: Bias Amplification Rate (BAR), Echo Chamber Propagation Index (ECPI), Information Quality Decay (IQD), Pretraining Diversity …

A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management, Lordt Becklines

Dissertations

Artificial Intelligence (AI) is transforming Supply Chain Management (SCM), yet many organizations struggle to assess their readiness for AI adoption and to understand how AI capabilities develop across maturity stages. This dissertation addresses this gap by developing a Capability Maturity Model (CMM) for AI integration in SCM, grounded in Organizational Information Processing Theory (OIPT), the Resource-Based View, and related capability frameworks. The model provides a structured approach for evaluating an organization's information-processing requirements, resource configurations, and alignment needed for effective AI-enabled supply chain operations.

Using a design science research approach, the AI-SCM CMM and its associated assessment instrument were derived …

Transformation From Sap Ecc To Sap S/4hana Finance Erp In The Usa: Investigating Human-Centric Challenges And Strategic Benefits, Muhammad Kamran Mirza Mr.

Harrisburg University Dissertations and Theses

This study examines the human-centric challenges and organizational strategic benefits associated with migrating from SAP ECC to SAP S/4HANA Finance in U.S.-based organizations. The motivation behind this ERP transformation is that the company aims to automate its business processes and achieve operational efficiency. The success of ERP migration is shaped by user experience. Human barriers such as cognitive load, burnout and reluctance to change, insufficient user training, and work stress can threaten the success of ERP migration. This study aims to examine human-centric issues and organizational dynamics to propose effective ERP migration strategies that can help future ERP migrations and …

Assessing Public-Sector Readiness For Artificial Intelligence In Egypt, Renad Ahmed Anwar

Theses and Dissertations

Artificial intelligence (AI) is increasingly adopted in public-sector contexts, yet successful implementation depends on organizational readiness, particularly in developing countries. This study assesses the readiness of Egypt’s public sector for AI adoption using a qualitative expert opinion methodology. Semi-structured interviews were conducted with senior professionals from global technology firms with extensive experience working with public-sector entities in Egypt.

Guided by by an integrated framework combining organizational readiness theory, the Technology–Organization–Environment (TOE) framework, and public value and governance perspectives, the study examines strategic, organizational, human, technological, societal, and governance dimensions of AI readiness. The findings indicate that while Egypt demonstrates strong …

Project Risk Management In Ai-Enabled Systems: Managing Ethical, Privacy, And Governance Risks, Onome Cynthia Anakanire

Harrisburg University Dissertations and Theses

This research examined how Artificial intelligence (AI) has been embedded in project-based work, particularly in finance and software industries, where it enables efficiency and assists in complex decision-making. However, these innovations introduce significant ethical, privacy, and governance risks that traditional project risk management frameworks fail to adequately address. This study investigated how project managers can systematically integrate the management of these emerging risks into AI-enabled projects. Using a qualitative research design, the study drew on semi-structured interviews with project managers, compliance officers, and AI developers in finance, software and related sectors. Supplementary data included internal project documentation and risk registers. …

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 …

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 …

Integrating Social Media And Entrepreneurship: A Study Of Social Media, Creativity, Strategy, And Innovation In Building A Successful Brand Presence In The Digital Era, Lys Ishiari

Undergraduate Honors Theses

Social media has completely changed what it means to start a business. It was once just a place for personal interactions but is currently a powerful channel that drives the growth of multiple industries (Felicia, 2022). Now, anyone can use their personal creativity and hobbies to build a brand, especially on apps like Instagram, YouTube, and TikTok. The purpose of this study is to identify the common themes behind social media entrepreneurs’ success, which allows individuals to become both creators and business owners in the digital age. Furthermore, a key part of writing this paper is personal; it connects to …

Proof Of Recovery: A Model To Enhance Data Integrity In Data Management Systems, Gustaf Barkstrom

Theses and Dissertations

Businesses lose millions of dollars every year when they can’t restore data from backups. Research shows that Disaster Recovery Plan (DRP) testing is not conducted frequently enough, nor are records maintained that demonstrate full data recovery from backups. This work introduces a design science artifact called PRTOK that aims to increase DRP testing. The design science artifact is a software solution that integrates with Data Management Systems (DMS)

such as iRODS and DSpace, and can work with formats such as HDF5 and BagIt. Proof-of- recovery records, or tokens, are recorded in a replicated, resilient, and indelible proof-of- authority blockchain data …

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 …

Two Studies Exploring Signal-Environment Fit In Ai-Assisted Managerial Decision-Making Under Uncertainty, Oleksandr Kondrachuk

Graduate Studies Theses and Dissertations 2026

This dissertation examines how the fit between the characteristics of artificial intelligence systems and the uncertainty environment shapes managerial reliance on AI advice. Organizations increasingly deploy different AI systems, such as predictive and generative, to support management accounting decisions. However, the accounting literature has mainly treated AI as a single undifferentiated entity. This dissertation addresses this gap through two related studies. In the first study, drawing on signaling theory and ecological rationality, I develop a signal-environment fit framework proposing that the reliance on a certain AI system depends on the match between system characteristics (input, process, output) and uncertainty characteristics. …

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 …

Exploring The Impact Of Negative Ewom On Hotel Booking Intention Through The Lens Of Attribution Theory And The Moderating Role Of Recovery Justice, Antonio Jose Ogaz-Muñoz

Electronic Theses and Dissertations

Negative electronic word-of-mouth (EWOM) has emerged as a critical factor influencing customer behavior, particularly in the hospitality industry. Despite extensive research grounded in failure attributions and service recovery theories, few studies examine the combined impact of failure attribution and recovery justice on hotel booking intentions. Using a 2x2x2x2 between-subjects experimental design with 373 responses, this research investigates how customers' perceptions of failure attribution influence their booking intention after exposure to negative EWOM, and if perceived recovery justice can mitigate the negative effects of these attributions. Results show that booking intention declined most when reviews framed the failure as hotel-caused and …

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

Theses and Dissertations

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

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

All-Inclusive List of Electronic Theses and Dissertations

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

Feedback Strategies In The Market With Uncertainties, Mustapha Nyenye Issah

Graduate Theses and Dissertations (2019 - present)

This paper explores how established firms use strategic advertising to deter new competitors in uncertain markets. Specifically, it models a situation where market demand evolves unpredictably - captured by the CKLS stochastic process, and the incumbent firm may be either strong or weak, a fact hidden from potential entrants. For a company already in the market, advertising is not just about driving immediate sales, it is a strategic tool to project an image of strength and deter potential new competitors. On the other side, a business thinking about entering that market faces a high-stakes, irreversible decision. It will typically hold …

Evolution Of A New Strategic Orientation In The Ai Era: Exploring The Determinants Of Ai Orientation, Sreelakshmy Geethakumari

Dissertations

The field of AI has undergone significant evolution over the past few decades. While AI is heralded as one of the most transformative technologies, scholars caution that its strategic impact may still not be fully realized. Given the strategic importance of AI in today's firms, it is essential to consider AI as a strategic orientation and understand its determinants in detail. Our study examines AI Orientation, defined as a firm's deliberate application of AI technologies to achieve its strategic objectives. Drawing on multiple theoretical perspectives, this study investigates the determinants that shape a firm’s AI orientation. This study employs a …

Assessing The Adoption And Implementation Of Port Community System (Pcs) In Thailand, Boodsayapan Thitanon, Chalongrach Waraporn

World Maritime University Dissertations

No abstract provided.

Digital Odyssey: Navigating Culture, Structure, And Agency In The Transformation Of A Public University, Lisa Santa-Coloma

Dissertations, Theses, and Capstone Projects

Digital transformation broadly refers to the process of enacting digital technologies to fundamentally change how an organization creates value, enhancing the customer experience, increasing efficiency, and achieving a sustained competitive advantage. Current industry research estimates that over 90 percent of large organizations globally are undertaking digital transformation initiatives, yet a surprisingly low percentage of them report a resulting lift in revenue or improved efficiency. This trend is particularly pronounced in the education sector, where universities, navigating the pressure of lower enrollment rates following the global pandemic and the impact of disruptive technology such as artificial intelligence and online learning platforms, …

Investigating The Use And Acceptance Of Information And Communication Technologies By University Faculty In Liberia And Its Implications To Sub-Saharan Africa, Michael K. Gray

Dissertations

This descriptive, non-experimental, correlational quantitative study examines the relationship between components of the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and Human Capital Development (HCD) in determining the use of Information and Communication Technology (ICT) among university faculty in sub-Saharan Africa (SSA). With the increasing importance of ICT in educational transformation across developing regions like SSA, understanding the underlying factors that influence ICT acceptance is essential for effective policy and implementation strategies. The researcher surveyed 336 university faculty in Liberia using a questionnaire designed to capture perceptions related to TAM constructs (perceived usefulness …