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.

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 …

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 …

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 …

Guardrails For Growth: Governing Open-Source Software Risk In Healthtech Startups, Tonya Humphrey

Dissertations

This dissertation investigates how healthcare software startups manage the risks associated with open-source software (OSS) use. Using a qualitative multi-site case study approach and thematic analysis, the study draws insights from interviews with developers, security professionals, and technology leaders in early-stage healthtech companies. Six key themes emerged: Strategic Governance and Oversight, Security and Compliance Practices, Operational Foundations and Standards, Risk Awareness and Technical Due Diligence, Technology Choices and Ecosystem Tools, and People and Culture. The findings reveal that, even in resource-constrained environments, effective OSS risk management is possible through lightweight governance, automation, and shared cultural responsibility. Practical implications include guidance …

Unleashing Excellence: Strengthening It Leaders Through Executive Coaching, Tonya S. Rivers

Dissertations

This paper explores the impact of executive coaching on Information Technology (IT) leaders. Many organizations across different industries lack strong leadership, as exposed by COVID-19. Companies aim to keep exceptional leaders and establish upbeat workplaces to achieve success. Although previous research has examined leadership effectiveness, it is still unclear how best to manage employees' perceptions of effective leadership. The goal of this research is to provide new insights into what can improve perceptions of leadership effectiveness. I explored the role executive leadership coaching has on managers working in the Information Technology (IT) field. Current literature often mentions the need for …

Enhancing Interoperability In Geospatial Analytics Systems: Navigating Diverse Standards For Optimal Data Integrity, Justin W. Bennett

Dissertations

In this study, we explore the domain of geospatial analytics, focusing on how different geographic information systems (GIS) and technology solutions can better communicate and maximize interoperability. Central to our study is the impact of this interoperability on data integrity, which is critical for accurate decision-making in domains like urban planning, environmental management, and national security. Accurate decision-making requires modeling ecosystems that are easy to comprehend and are often intricate due to their physical or artificial nature and the diversity of geospatial parameters; therefore, it is essential to gather a comprehensive array of spatial and temporal measurements. We examine the …

Interactive Visualization Workflows For Mitigating Analytical Uncertainty, Kaustav Bhattacharjee

Dissertations

This dissertation takes a process-centric and stakeholder-first perspective for handling analytical uncertainty: the form of uncertainty that confronts data analysts' insight-generation processes in high-consequence decision-making scenarios. The cost of an incorrect decision when data is used for movie recommendations as opposed to when personal data is used to drive insights or when data-driven modeling is used to drive real-time decisions for maintaining the health of a grid are vastly different in terms of consequences. This dissertation looks at analytical uncertainty in two real-world scenarios: i) how sensitive information leakage can be prevented during the open data release process with data …

Navigating The Landscape: Perceptions, Motivations, And The Journey Of Data Professionals In Implementing Data Processes And Procedures, Willie Rivers

Dissertations

This explanatory study investigates the motivations behind data professionals' willingness or resistance to implementing data policies and procedures, utilizing the Theory of Planned Behavior and Psychological Ownership as frameworks. Through interviews with 21 data professionals, the research explains how factors such as perceived control, ownership, and attitudes towards data processes influence their motivation. The study tests key propositions, including the impact of perceived time burdens, bureaucratic procedures, and organizational expectations on data governance engagement. The findings underscore the critical role of control and access to information in motivating the adoption of data policies, providing insights for organizations aiming to enhance …

Organizational Control And Technological Capabilities: The Moderating Role Of Family Influence On The Firm, Sean Leahy

Dissertations

This dissertation examines the influence of organizational controls on technological capabilities in privately owned U.S. corporations, with a specific focus on family-owned businesses. The primary objective of the study was to investigate how formal controls (process and outcome) and clan controls (informal practices) impact technological innovation and competence. Using a quantitative approach, data were collected from 177 individuals and analyzed through partial least squares structural equation modeling (PLS-SEM) path analysis. The findings indicate a significant relationship between formal controls and technological capabilities. However, the interaction of family influence on this dynamic was not supported. Results also revealed a robust association …

Sensing With Integrity: Responsible Sensor Systems In An Era Of Ai, David Eisenberg

Dissertations

Deep and machine learning now offer immense benefits for consumer choice, decision-making, medicine, mental health and education, smart cities, and intelligent transportation and driver safety. However, as communication and Internet technology further advances, these benefits have the potential to be outweighed by compromises to privacy, personal freedom, consumer trust, and discrimination. While ethical consequences for personal freedom and equity rise from these technological advances, the issue may not be the technology itself but a lack of regulation and policy that allow abuses to occur. A first study examines how emerging sensor-based technologies, limited to only accelerometer and gyroscope data from …

Unraveling Biases And Customer Heterogeneity In E-Commerce Recommendation Systems, Sachin Sharma

Dissertations

This research explores the biases present in AI algorithms within e-commerce recommendation systems, focusing on how these biases prioritize popular, sponsored, and private-label products over actual customer preferences. We extend the responsible AI discourse by critically examining these biases and their implications for fairness in e-commerce. To strengthen the current understanding of AI fairness in the fields of information systems and computer science, we aim to challenge the assumption that AI fairness is objective and the same for everyone. We examine how individual differences, such as equity sensitivity and exchange ideology, contribute to users' varied perceptions of AI fairness. Through …

Successfully Scaling Digital Technology Ventures: An Empirical Study Of The Strategic Choices That Maximize Firm Value, Scott Morris

Dissertations

Our study aims to understand the choices managers working for subscription-based digital ventures must make at arguably the most critical juncture of their firm’s lifecycle. With few slack resources to repair mistakes, managers at these scaling firms must make decisions that are larger in scope and scale than in the start-up phase. Tradeoffs are often required as decision-makers face choices such as investing more resources in sales and marketing to drive growth or in product development to improve quality and add new products or features. In many instances, the question is whether to forego some growth opportunities to maximize profitability …

Affective Commitment, Mentoring, And Anticipated Turnover Among Millennials, Keiasha Hypolite

Dissertations

ABSTRACT

Millennials comprise the largest group of individuals in the workforce, yet organizations struggle to keep millennials engaged in the workplace. Millennials move from job to job, with an average stay at one employer between 12 and 18 months (Hechl, 2017). Researchers have reported that millennials cause the majority of turnover in the workplace. Globally, human resources practitioners experience difficulties retaining millennials (Sahraee et al., 2021). Previous studies have researched millennials, affective commitment, mentoring, and turnover. However, no known research has used all four factors to solve a global problem. In their discussion of the highly competitive labor market, Ramírez …

A Digital Leadership Lens For A Physical World: Digital Transformation Levers Of Control For Incumbent Companies, Michael J. Seals

Dissertations

A new wave of advanced technologies is disrupting companies of all types and transforming business models within every industry. Long-standing industrial firms that rose to prominence in a pre-digital economy are particularly vulnerable. Prevailing views suggest these companies (hereafter referred to as incumbents) must reimagine their value propositions and transform themselves by leveraging today’s advanced technologies. The opportunities provided by these advanced technologies will significantly affect incumbents whether they participate or not. The pursuit of these opportunities, commonly referred to as digital transformation (DX), is the focus of our research.

Traditional technology-enabled business endeavors creating incremental operational improvements fell within …

Factors Influencing The Adoption Of Smart-Home Appliances: Users' Perspectives, Prakash Shahi

Dissertations

Smart appliances will be a significant part of the annual $300 billion smart-home market by 2025. Their use is expected to grow at a compounded annual growth rate of 31% for the foreseeable future. Currently, 12-16% of households use smart-home products in the U.S., including thermostats, TVs, refrigerators, coffee machines, garage door openers, and vision-equipped doorbells. Smart appliances provide significant benefits to us over traditional appliances. Smart appliances simplify our lives by automating various tasks in our homes and allowing us to monitor and control them remotely from our offices, grocery stores, and wherever we may be.

Despite the usefulness …

Digital Equity: Difficulties Of Implementing The 1:1 Computing Initiative In Low-Income Areas, Demetric D. Williams

Dissertations

Successful One-to-One Computing Initiative implementation requires educators to communicate and collaborate effectively with everyone in the learning community. However, other factors such as teacher’s professional development, student’s perception, and parent’s perception often affect the implementation of the One-to-One Computing Initiative. School districts, which serve low-income areas in Mississippi, have difficulties ensuring students and communities have access to the information technology they need to participate outside the school setting. The concept is often called digital equity. However, when officials do not address the capacity, there is a vital threat to the participants’ civic, cultural, employment, lifelong learning, and access to essential …

Exploring, Understanding, Then Designing: Twitter Users’ Sharing Behavior For Minor Safety Incidents, Mashael Yousef Almoqbel

Dissertations

Social media has become an integral part of human lives. Social media users resort to these platforms for various reasons. Users of these platforms spend a lot of time creating, reading, and sharing content, therefore, providing a wealth of available information for everyone to use. The research community has taken advantage of this and produced many publications that allow us to better understand human behavior. An important subject that is sometimes discussed and shared on social media is public safety. In the past, Twitter users have used the platform to share incidents, share information about incidents, victims and perpetrators, and …

Participatory Learning: Measuring Learning And Educational Technology Acceptance, Erick Sanchez Suasnabar

Dissertations

Participatory Learning (PL) integrates several learning approaches, engaging students throughout the entire assignment process for both online and face-to-face courses. Beyond simply providing a solution, students also craft a problem (problem-based learning), grade each other (peer assessment and feedback), evaluate themselves (self-assessment), and can view others’ work (learning by example). This dissertation research explores the resulting learning effects. Contributions to both educational and Information Systems research include extending an early PL model and experiments that applied the PL approach to examinations, by validating and testing new constructs based on user activity and critical thinking. In addition, the study explores a …

Higher Education Business And Technology Leaders’ Behaviors That Drive Outcome Alignment, Katherine Lynch-Holmes

Dissertations

Higher education institutions (HEIs) face unprecedented challenges, including capacity alignment, financial sustainability, and even public confidence (Grajeck & Brooks, 2020; Grawe, 2019; Oblinger, 2019; Simone, 2020, Wheeler, 2020, Witt & Coyne, 2019). Financial challenges force HEIs to reduce costs by making decisions like cutting programs, laying off staff or merging institutions to reduce operating costs (Chen et al., 2019; Sellingo, 2017; Witt & Coyne, 2019). Higher education leaders (HELs) must act as trusted partners and broker technology to align processes, support, and outcomes (Luftman 2000; Petkovics, 2018; Reinitz, 2019). Unfortunately, higher education’s business-technology (BITA) alignment remains lower than other national …

Global Optimization Algorithms For Image Registration And Clustering, Cuicui Zheng

Dissertations

Global optimization is a classical problem of finding the minimum or maximum value of an objective function. It has applications in many areas, such as biological image analysis, chemistry, mechanical engineering, financial analysis, deep learning and image processing. For practical applications, it is important to understand the efficiency of global optimization algorithms. This dissertation develops and analyzes some new global optimization algorithms and applies them to practical problems, mainly for image registration and data clustering.

First, the dissertation presents a new global optimization algorithm which approximates the optimum using only function values. The basic idea is to use the points …

Changing The Focus: Worker-Centric Optimization In Human-In-The-Loop Computations, Mohammadreza Esfandiari

Dissertations

A myriad of emerging applications from simple to complex ones involve human cognizance in the computation loop. Using the wisdom of human workers, researchers have solved a variety of problems, termed as “micro-tasks” such as, captcha recognition, sentiment analysis, image categorization, query processing, as well as “complex tasks” that are often collaborative, such as, classifying craters on planetary surfaces, discovering new galaxies (Galaxyzoo), performing text translation. The current view of “humans-in-the-loop” tends to see humans as machines, robots, or low-level agents used or exploited in the service of broader computation goals. This dissertation is developed to shift the focus back …

An Automated Feedback System To Support Student Learning Of Conceptual Knowledge In Writing-To-Learn Activities, Ye Xiong

Dissertations

As a pedagogical strategy, Writing-to-Learn (WTL) intends to use writing to improve students’ understanding of course content. However, most of the existing feedback systems for writing are mainly focused on improving students’ writing skills rather than their conceptual development. In this dissertation, an automatic approach is proposed to generate timely, actionable, and individualized feedback based on comparing knowledge representations extracted from lecture slides and individual students’ writing assignments. The novelty of the proposed approach lies in the feedback generation: to help students assimilate new knowledge into their existing knowledge better, their current knowledge is modeled as a set of matching …

System Usage: A Shared Mental Model Perspective, Rooji Sugathan

Dissertations

The failure rate of Information Systems (IS) projects is high and has been high for many years. Failed IS projects leave organizations with systems that have very low usage and a negative rate of return on their investment. System use is a key measure of IS success. User participation and involvement (UPI) during application development and configuration are key factors that influence system use. However, empirical studies have shown mixed results for the influence of UPI on system use.

This study explores the extent to which shared mental model (SMM) of a project team influences the impact of UPI on …

Early Detection Of Fake News On Social Media, Yang Liu

Dissertations

The ever-increasing popularity and convenience of social media enable the rapid widespread of fake news, which can cause a series of negative impacts both on individuals and society. Early detection of fake news is essential to minimize its social harm. Existing machine learning approaches are incapable of detecting a fake news story soon after it starts to spread, because they require certain amounts of data to reach decent effectiveness which take time to accumulate. To solve this problem, this research first analyzes and finds that, on social media, the user characteristics of fake news spreaders distribute significantly differently from those …

The Role Of Bro Culture In Exploration Of Why Women Leave It, Ana Krasteva

Dissertations

The goal of this exploratory study is to investigate ways in which whether the phenomena called the ‘bro culture’ may influence on women in the information technology (IT) workforce. It specifically seeks to determine whether bro culture has an impact on why women in IT move from one IT company to another; leave IT for a non-technical field; or leave the workforce entirely.

Although there is a plethora of studies on why women leave positions in IT, less understood is the impact and influence of bro culture on the decision.

My findings suggest that bro culture in the workplace is …

Applied Deep Learning In Intelligent Transportation Systems And Embedding Exploration, Xiaoyuan Liang

Dissertations

Deep learning techniques have achieved tremendous success in many real applications in recent years and show their great potential in many areas including transportation. Even though transportation becomes increasingly indispensable in people’s daily life, its related problems, such as traffic congestion and energy waste, have not been completely solved, yet some problems have become even more critical. This dissertation focuses on solving the following fundamental problems: (1) passenger demand prediction, (2) transportation mode detection, (3) traffic light control, in the transportation field using deep learning. The dissertation also extends the application of deep learning to an embedding system for visualization …

Virtual Smarts - Optimizing The Coalescing Of People For Collective Action Within Urban Communities, Stephen Thomas Ricken

Dissertations

Despite the importance of individuals coming together for social group-activities (e.g., pick-up volleyball), the process by which such groups coalesce is poorly understood, and as a consequence is poorly supported by technology. This is despite the emergence of Event-Based Social Network (EBSN) technologies that are specifically designed to assist group coalescing for social activities. Existing theories focus on group development in terms of norms and types, rather than the processes involved in initial group coalescence. This dissertation addresses this gap in the literature through four studies focusing on understanding the coalescing process for interest-based group activities within urban environments and …

Supporting User Evaluation Of Messaging Interactions With Potential Romantic Partners Discovered Online, Douglas Zytko

Dissertations

Online dating systems have transformed the way people pursue romance. To arrive at a decision to meet for a face-to-face date, users gather information about each other online pertinent to romantic attraction. Yet sometimes they discover on the date that they made the wrong choice. One aspect of online dating system-use that may be a contributing factor, but is largely overlooked in the literature, is interaction through text-based messaging interfaces. This dissertation explores how messaging interactions inform face-to-face meeting decisions through two qualitative studies, and explores through a mixed methods field study how innovative messaging interfaces that embody theory from …

A Conversation Centric Approach To Understanding And Supporting The Coordination Of Social Group-Activities, Richard P. Schuler

Dissertations

Despite the widespread and large variety of communication tools available to us such as, text messaging, Skype, email, twitter, Facebook, instant messaging, GroupMe, WhatsApp, Snapchat, etc., many people still routinely find coordinating activities with our friends to be a very frustrating experience. Everyone, has at least once, encountered the difficulties involved with deciding what to do as a group. Some friends may be busy, others may have already seen the movie that the others want to see, and some do not like Mexican food. It is a challenge everyone has faced and continue to face. This is a result of …