Management Information Systems Commons^™

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 …

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 …

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 …

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 …

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 …

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 …

Data Quality And Enterprise Architecture: An Analysis Of The Awareness And Knowledge Of Data Quality Artifacts, Principles, Practices, And Application In Enterprise Architecture, Jason Alan Minton

Theses and Dissertations

Enterprise Architecture (EA) is a discipline, approach, and practice that aims to align the enterprise’s technical infrastructure, strategy, processes, and technology investments with the organization’s strategy to fulfill the mission and vision. Data quality is conformance to data specifications (Talburt, 2015, p. 192), and low data quality has significant implications for decisions and outcomes across the enterprise. Scant literature and research exist surrounding the intersection, integration, and impact of data quality within EA practices. This research examines the awareness and understanding of Enterprise Architect and Technology Architect populations regarding data quality concepts, artifacts, and tools. The research aims to answer …

Redefining Research Impact: Developing And Evaluating Modified H-Indexes For Comprehensive Academic Assessment, Nash Mayhue Minton

Theses and Dissertations

In academic research, the h-index has gained prominence as a useful metric for gauging the impact and productivity of researchers. This thesis seeks to provide a general overview of the h-index by providing information on the positive applications that the h-index utilizes, as well as the faults and limitations that diminish its utility. This thesis aims to combat the bias of hyper-authorship, which inherently inflates researchers' h-indexes by disproportionately attributing credit to individuals in multi-author publications, as well as provide other indices that could prove to be a possible replacement index or to be used as a basis for creating …

Using Hybrid Machine Learning Models For Stock Price Forecasting And Trading., Ahmed Khalil

Theses and Dissertations

Trading stocks of publicly traded companies in stock markets is a challenging topic since investors are researching what tools can be used to maximize their profits while minimizing risks, which encouraged all researchers to research and test different methods to reach such a goal. As a result, the use of both fundamental analysis and technical analysis started to evolve to support traders in buying and selling stocks. Recently, the focus increased on using Machine learning models to predict stock prices and algorithmic trading as currently there is a huge amount of data that can be processed and used to forecast …

Modeling & Engineering Of Usmepcom Business Intelligence Data, Merrick A. Bedford

Theses and Dissertations

This thesis investigates the USMEPCOM’s issue of modeling and engineering Business Intelligence data centralized around the MEPS of Excellence (MOE) program. MEPS around the US conduct military personnel in-processing and in doing so have a vested interest in the standardization and application of the data associated with such processes. There are currently 65 MEPS stations and one RPS that handle military personnel onboarding paperwork and make determinations for military eligibility. This topic is important due to the MEPS cloud data processing system modernization efforts requiring data processing adaptation to ensure relevant and meaningful usage of current data.

Knowledge Management Modeling And Decision Analysis For Usmepcom, Luke G. Wunderlich

Theses and Dissertations

This thesis explores the adoption of Value-Focused Thinking (VFT) in enhancing the Knowledge Management (KM) program at USMEPCOM, aiming to align decision-making with the organization’s values and goals. Through evaluating the current knowledge flow and policy drafts, it proposes categorizing command messages, establishing a centralized information repository, and scheduling a daily order release to improve information accessibility and operational readiness. Although no alternative offers a perfect solution, implementing Command Message Categorization is expected to significantly enhance operational efficiency and prepare USMEPCOM for future challenges.

Exploring Factors Influencing The Adoption Of Ai Tools In Auditing: A Mixed-Methods Study, Fahad Alsudairi

Theses and Dissertations

Artificial Intelligence's (AI) rise has created value for organizations and society, prompting scholars to study its spread across many areas. However, the impact of AI adoption on governmental organizations still needs to be explored. Governmental entities face unique challenges distinct from private organizations, and existing research often focuses on the perspectives of AI experts or senior management, neglecting the insights of lower-level employees who will use the system daily.

This study investigates the multifaceted factors influencing the intention to adopt AI tools within a governmental auditing bureau in Saudi Arabia. To the best of our knowledge, no previous study has …

Role Of The Chief Data Officer In Government, Adita Karkera

Theses and Dissertations

Government data, whether in physical or digital form, has been collected for as far as memory can take us. However, government entities today are grappling with complex heterogeneous data systems. The transformation in data collection and management was profound in 2018 due to the enactment of the Foundations for Evidence-Based Policymaking Act. This legislation heightened the emphasis on curating, analyzing, and utilizing data to enhance decision-making, mandating federal agencies to appoint a Chief Data Officer (CDO) responsible for orchestrating the strategic use of data within the organization. While the overarching goal of a government CDO is to strategically harness an …

Essays On The Influence Of Review And Reviewer Attributes On Online Review Helpfulness: Attribution Theory Perspective, Rakesh Guduru

Theses and Dissertations

With the emergence of digital technology and the increasing availability of information on the internet, customers rely heavily on online reviews to inform their purchasing decisions. However, not all online reviews are helpful, and the factors that contribute to their helpfulness are complex and multifaceted. This dissertation addresses this gap in the literature by examining the antecedents that determine online review helpfulness using attribution theory. The dissertation consists of three essays. The first essay examines the impact of authenticity (review attribute) on review helpfulness, showing that the expressive authenticity of a review enhances its helpfulness. The second essay investigates the …

Essays On Behavioral Decision Making In Crowdfunding Environments, Bright Frimpong

Theses and Dissertations

Crowdfunding has revolutionized the world of financing. From entrepreneurs to financially excluded individuals seeking funding for essential projects, crowdfunding provides an expansive platform for project founders to raise needed capital for pending or ongoing projects. In addition to raising capital, founders also use crowdfunding to test market an idea, gain exposure for future funding, gain validation, and build trusting relationships with backers (Zhou et al., 2018). However, the success of crowdfunding is dependent on crowd participation- backer support and funding. The importance of crowd participation in crowdfunding is not limited to project funding, but also building public involvement and support …

Themes And Participants’ Role In Online Health Discussion: Evidence From Reddit, Massara Alazazi

Theses and Dissertations

Health-related topics are discussed widely on different social networking sites. These discussions and their related aspects can reveal significant insights and patterns that are worth studying and understanding. In this dissertation, we explore the patterns of mandatory and voluntary vaccine online discussions including the topics discussed, the words correlated with each of them, and the sentiment expressed. Moreover, we explore the role opinion leaders play in the health discussion and their impact on participation in a particular discussion. Opinion leaders are determined, and their impact on discussion participation is differentiated based on their different characteristics such as their connections and …

An Industry Study Of Best Practices In Life Insurance Automated And Accelerated Underwriting Models, Kartik Sakthivel

Theses and Dissertations

Having life insurance is critical for hundreds of millions of people around the world as a key part of sound financial protection for individuals and families, but there are unacceptably high populations that lack coverage. 106 million Americans are uninsured or underinsured, the protection gap being pronounced in communities of color. Making the rigorous process of purchasing insurance easier is crucial in helping protect the financial security of millions. Automated and accelerated underwriting, a relatively nascent practice in the mature life insurance industry, is intended to streamline this process and narrow this coverage gap by making it easier to obtain …

U.S. Department Of The Interior: Sharing Fair Data Fairly, Jason Earl Duke

Theses and Dissertations

Thousands of scientists, researchers, students, and organizations consume government-produced data daily that are often difficult to locate because they are collected and stored in multiples at varying levels of quality, inhibiting their usefulness for data science investigations and analysis. To address these challenges, United States Government agencies and bureaus have been implementing Findable, Accessible, Interoperable, and Reusable (FAIR) Data Principles into their data-sharing strategies since 2016. However, differing interpretations of the FAIR Data Principles lead to data that must be documented uniformly and adequately integrated for reuse. Select datasets have been analyzed with peer-reviewed FAIR assessment tools to establish a …

Towards Structured Planning And Learning At The State Fisheries Agency Scale, Caleb A. Aldridge

Theses and Dissertations

Inland recreational fisheries has grown philosophically and scientifically to consider economic and sociopolitical aspects (non-biological) in addition to the biological. However, integrating biological and non-biological aspects of inland fisheries has been challenging. Thus, an opportunity exists to develop approaches and tools which operationalize planning and decision-making processes which include biological and non-biological aspects of a fishery. This dissertation expands the idea that a core set of goals and objectives is shared among and within inland fisheries agencies; that many routine operations of inland fisheries managers can be regimented or standardized; and the novel concept that current information and operations can …

A Case Study Of The Efficacy Of Model-Based Requests For Information, Kyle J. Arruda

Theses and Dissertations

The Department of Defense (DoD) has encouraged the transition to digital engineering, yet there are limited guides for how to transition and there is limited data to show where an organization like a program office can reap the most benefit from the transition. To identify areas where potential benefits may be realized, this thesis compares two Requests for Information (RFIs), one document-based and one model-based, from generation to response. A survey was developed and administered to 7 members of a single program office to grade the RFI responses. The survey was based on the 43 benefit categories identified in the …

A Rule-Based Automatic Data Validation Framework For Enterprise Asset Management In The Power And Utilities Industry, Kennedy O. Oyoo

Theses and Dissertations

Every industry has significant data output as a product of its working processes. Power and utilities (P&U) are no exception. Power and utilities organizations generate a lot of data from different business operational systems that provide diverse inputs to a central enterprise asset management (EAM) system tasked with supporting management of physical assets over their life cycles. Physical assets which cover a range of asset types are used in the generation, transmission, and distribution of power. Asset data quality is one area which is often overlooked during the implementation of EAM systems because the focus is primarily on the final …

Essays On Individuals’ Information Assessment, Information Disclosure, Participation, And Response Behaviors In Online Health Communities, Joseph Ade Manga

Theses and Dissertations

The emergence of online health communities (OHCs) has enabled the use of information technologies to address some social and health needs including but not limited to emotional, social, and health-related issues. This information age has encouraged user generated (UG) content, which facilitates both peer-to-peer and business-to-peer interconnections. This rich and active information epoch (i.e., OHCs) is distinct in that value is generated when peers or participants—who may be content generators and/or content consumers—interact together by exchanging information and receiving supports aimed at addressing their specific needs; and this is made possible through the online platforms or support groups acting as …

The Critical Role Of Ethical Leadership In Employees’ Information Security Behaviors: A Two-Study Approach, Botong Xue

Theses and Dissertations

Employees’ information security policy (ISP) related behaviors have been paid attention by previous studies in the past decades. Among different factors that are influential on employees’ ISP behaviors, different leadership styles have been tested under the information security context; however, as one leadership style that is highly related to employees’ positive organization behaviors, the role of ethical leadership has been largely overlooked under the information security context. In addition, most research in the past decades overly focused on employees’ performance on ISP in-role behaviors, including ISP compliance and violation behaviors, where extra-role behaviors – security behaviors that are beneficial to …

The Dark Side Of Artificial Intelligence: Understanding The Role Of Perceived Algorithm Unfairness On Ride-Hailing Driver Discontinuance, Zhenya Tang

Theses and Dissertations

Ride-hailing platforms (RHP) are sharing economy platforms that connect passengers who need to order a private ride or to share a vehicle with drivers who want to share a ride. However, after rapid growth, major RHPs (e.g., Uber, Lyft, and Didi) have begun to face severe driver shortages. Attracting and maintaining a large driver base is critical to the survival and success of any RHP no matter its size. While practitioners are urging to seek suggestions from academia to prevent driver loss, limited research attention has been paid to RHP drivers’ discontinuance. To fill this gap, this dissertation aims to …

The Role Of Personal Disposition And Preference Matching In Information Security Message Persuasiveness, Feng Xu

Theses and Dissertations

How to design effective persuasive information security messages to motivate individuals’ engagement in recommended protective security behaviors has become a top priority in the information security field. Although fear appeals have been shown to be an effective means to influence individuals’ security-related protective behaviors, recent information security research has called for a deeper understanding of recipients’ information processing of messages to design effective fear appeals. Previous IS security research has explored two individuals’ information processing routes of security messages, the central route, and the peripheral route, and has investigated the impacts of central variables, perceived argument quality, and peripheral variables, …

Blockchain Value Creation Logics And Financial Returns, Daniel Narh Treku

Theses and Dissertations

With its complexities and portfolio-nature, the advent of blockchain technology presents several use cases to stakeholders for business value appropriation and financial gains. This 3-essay dissertation focuses on three exemplars and research approaches to understanding the value creation logics of blockchain technology for financial gains. The first essay is a conceptual piece that explores five main affordances of blockchain technology and how these can be actualized and assimilated for business value. Based on the analysis of literature findings, an Affordance-Experimentation-Actualization-Assimilation (AEAA) model is proposed. The model suggests five affordance-to-assimilation value chains and eight value interdependencies that firms can leverage to …

New Product Development System Fit For Innovative Performance, Tad V. Machrowicz

Theses and Dissertations

Innovation is an imperative for long-term health and shareholder returns in firms dependent on product development. Yet, most companies struggle with the tension between creative ideation and implementation. Effectively finding new sources of revenue and improving and profiting from existing products and services reflects a product development ambidexterity challenge. Surveys were collected from 212 development team members representing 31 teams from the transportation, aerospace, and chemical sectors to understand if a new product development (NPD) system’s ambidexterity supported team level innovation performance. When NPD systems are perceived by development team users as ambidextrous structures, their combined ideation and implementation strength …

Design And Exploration Of New Models For Security And Privacy-Sensitive Collaboration Systems, Ramandeep Kaur Sandhu

Theses and Dissertations

Collaboration has been an area of interest in many domains including education, research, healthcare supply chain, Internet of things, and music etc. It enhances problem solving through expertise sharing, ideas sharing, learning and resource sharing, and improved decision making.

To address the limitations in the existing literature, this dissertation presents a design science artifact and a conceptual model for collaborative environment. The first artifact is a blockchain based collaborative information exchange system that utilizes blockchain technology and semi-automated ontology mappings to enable secure and interoperable health information exchange among different health care institutions. The conceptual model proposed in this dissertation …

Digjitalizimi I Bankave Në Kosovë, Rast Studimi Klientët E Dy Bankave Ndërkombëtare Në Republikën E Kosovës, Adonis Bllacaku

Theses and Dissertations

Duke pasur parasysh faktin që ne jetojmë në shekullin e XXI-të, shekullin e progresit teknologjik dhe të inovacionit. Sot është fakt që zhvillimet teknologjike i kanë dhënë një dimension tjetër mënyrës se si jetojmë, si informohemi, si komunikojmë dhe si e perceptojmë realitetin. Për gjenerata të tëra sot është e vështirë të imagjinohet jeta e përditshme dhe puna profesionale pa një mori pajisjesh elektronike.

Në këtë kontekst, si çdo fushë tjetër, edhe sistemet financiare në mbarë botën kanë qenë subjekt i avancimeve teknologjike e që as sistemi bankar në Kosovë nuk bën përjashtim nga kjo tendencë , është parë e …