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Successfully Scaling Digital Technology Ventures: An Empirical Study Of The Strategic Choices That Maximize Firm Value, Scott Morris Aug 2023

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 May 2023

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 Sep 2022

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 Jul 2022

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 May 2022

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 Aug 2021

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 Aug 2021

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 May 2021

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 Aug 2020

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 Aug 2020

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 Aug 2020

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 Apr 2020

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 Dec 2019

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 …


Applied Deep Learning In Intelligent Transportation Systems And Embedding Exploration, Xiaoyuan Liang Aug 2019

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 May 2018

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 Apr 2018

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 Oct 2017

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 …


Detecting User Demographics In Twitter To Inform Health Trends In Social Media, Christopher R. Markson Jul 2017

Detecting User Demographics In Twitter To Inform Health Trends In Social Media, Christopher R. Markson

Dissertations

The widespread and popular use of social media and social networking applications offer a promising opportunity for gaining knowledge and insights regarding population health conditions thanks to the diversity and abundance of online user-generated information (UGHI) relating to healthcare and well-being. However, users on social media and social networking sites often do not supply their complete demographic information, which greatly undermines the value of the aforementioned information for health 2.0 research, e.g., for discerning disparities across population groups in certain health conditions. To recover the missing user demographic information, existing methods observe a limited scope of user behaviors, such as …


Viewability Prediction For Display Advertising, Chong Wang Apr 2017

Viewability Prediction For Display Advertising, Chong Wang

Dissertations

As a massive industry, display advertising delivers advertisers’ marketing messages to attract customers through graphic banners on webpages. Display advertising is also the most essential revenue source of online publishers. Currently, advertisers are charged by user response or ad serving. However, recent studies show that users barely click or convert display ads. Moreover, about half of the ads are actually never seen by users. In this case, advertisers cannot enhance their brand awareness and increase return on investment. Publishers also lose much revenue. Therefore, the ad pricing standards are shifting to a new model: ad impressions are paid if they …


Collaborative Development Of A Small Business Emergency Planning Model, Arthur Henry Hendela May 2016

Collaborative Development Of A Small Business Emergency Planning Model, Arthur Henry Hendela

Dissertations

Small businesses, which are defined by the US Small Business Administration as entities with less than 500 employees, suffer interruptions from diverse risks such as financial events, legal situations, or severe storms exemplified by Hurricane Sandy. Proper preparations can help lessen the length of the interruption and put employees and owners back to work. Large corporations generally have large budgets available for planning, business continuity, and disaster recovery. Small businesses must decide which risks are the most important and how best to mitigate those risks using minimal resources.

This research uses a series of surveys followed by mathematical modeling to …


Mediating Chance Encounters Through Opportunistic Social Matching, Julia M. Mayer May 2016

Mediating Chance Encounters Through Opportunistic Social Matching, Julia M. Mayer

Dissertations

Chance encounters, the unintended meeting between people unfamiliar with each other, serve as an important social lubricant helping people to create new social ties, such as making new friends or finding an activity, study or collaboration partner. Unfortunately, social barriers often prevent chance encounters in environments where people do not know each other and people have to rely on serendipity to meet or be introduced to interesting people around them. Little is known about the underlying dynamics of chance encounters and how systems could utilize contextual data to mediate chance encounters. This dissertation addresses this gap in research literature by …


Task-Based User Profiling For Query Refinement (Toque), Chao Xu Jan 2016

Task-Based User Profiling For Query Refinement (Toque), Chao Xu

Dissertations

The information needs of search engine users vary in complexity. Some simple needs can be satisfied by using a single query, while complicated ones require a series of queries spanning a period of time. A search task, consisting of a sequence of search queries serving the same information need, can be treated as an atomic unit for modeling user’s search preferences and has been applied in improving the accuracy of search results. However, existing studies on user search tasks mainly focus on applying user’s interests in re-ranking search results. Only few studies have examined the effects of utilizing search tasks …


Continuous Monitoring Of Enterprise Risks: A Delphi Feasibility Study, Robert Baksa May 2015

Continuous Monitoring Of Enterprise Risks: A Delphi Feasibility Study, Robert Baksa

Dissertations

A constantly evolving regulatory environment, increasing market pressure to improve operations, and rapidly changing business conditions are creating the need for ongoing assurance that organizational risks are continually and adequately mitigated. Enterprises are perpetually exposed to fraud, poor decision making and/or other inefficiencies that can lead to significant financial loss and/or increased levels of operating risk. Increasingly, Information Systems are being harnessed to reinvent the risk management process. One promising technology is Continuous Auditing, which seeks to transform the audit process from periodic reviews of a few transactions to a continuous review of all transactions. However, the highly integrated, rapidly …


Information Filtering By Multiple Examples, Mingzhu Zhu May 2015

Information Filtering By Multiple Examples, Mingzhu Zhu

Dissertations

A key to successfully satisfy an information need lies in how users express it using keywords as queries. However, for many users, expressing their information needs using keywords is difficult, especially when the information need is complex. Search By Multiple Examples (SBME), a promising method for overcoming this problem, allows users to specify their information needs as a set of relevant documents rather than as a set of keywords.

Most of the studies on SBME adopt the Positive Unlabeled learning (PU learning) techniques by treating the user's provided examples (denoted as query examples) as positive set and the entire data …


Assessing Learning Outcomes And Social Capital Formation Resulting From The Use And Sharing Of Internet Knowledge Resources, Regina S. Collins May 2015

Assessing Learning Outcomes And Social Capital Formation Resulting From The Use And Sharing Of Internet Knowledge Resources, Regina S. Collins

Dissertations

Today’s “digital natives” use the Internet to address most, if not all, their learning-related knowledge needs. This research evaluates the outcomes of formal learning activities requiring students to use, manage, share, and consolidate Internet knowledge resources (such as websites, videos, and blogs) to achieve both individual and group learning. This research takes an integrative approach to learning, capturing learner cognitive, interpersonal, and intrapersonal characteristics as well as the impact of the digital environment by evaluating the technological affordances of two different systems supporting such learning activities. This research also examines pedagogical modifications that would best integrate course assignments utilizing Internet …


Identification Of Employee Engagement Practices Viewed As Critical To Retention: A Cross-Generational Comparison, Sharon R. Floyd Mar 2015

Identification Of Employee Engagement Practices Viewed As Critical To Retention: A Cross-Generational Comparison, Sharon R. Floyd

Dissertations

Purpose. The purpose of this study was to identify the employee engagement practices that millennial IT workers perceive as important to retention. The secondary purpose of the study was to determine whether a difference exists between the engagement practices that appeal to millennial IT workers and the engagement practices that appeal to remaining IT working groups, which include the baby boomers and generation X.

Methodology. A quantitative, descriptive, survey-based research method was chosen for this study. The population included information technology workers representing three generations of working adults, including baby boomers, generation Xers, and millennials. The sample included technology workers …


Intent-Based User Segmentation With Query Enhancement, Wei Xiong Aug 2014

Intent-Based User Segmentation With Query Enhancement, Wei Xiong

Dissertations

With the rapid advancement of the internet, accurate prediction of user's online intent underlying their search queries has received increasing attention from the online advertising community. As a rich source of information on web user's behavior, query logs have been leveraged by advertising companies to deliver personalized advertisements. However, a typical query usually contains very few terms, which only carry a small amount of information about a user's interest. The tendency of users to use short and ambiguous queries makes it difficult to fully describe and distinguish a user's intent. In addition, the query feature space is sparse, as only …


Building Change Readiness Practices For Information Technology Support Staff, Dianna Joseph Perkins May 2014

Building Change Readiness Practices For Information Technology Support Staff, Dianna Joseph Perkins

Dissertations

With the turbulent economic conditions of the healthcare market, organizational leaders are faced with significant factors driving unprecedented change. Healthcare organizations are challenged with reimbursement reductions, high costs, modification of government regulations, and demanding healthcare consumers. Survival for healthcare organizations in this volatile climate requires successful implementation of rapid change. Healthcare leaders recognize a correlation between competitive advantage and the implementation of advanced information technology. Unfortunately, despite the efforts of healthcare leaders, many change initiatives fail. This study explores the effects communication, leadership, and culture strategies have on individual change readiness as perceived by IT support staff in a not-for-profit …


Increasing Adolescent Interest In Computing Through The Use Of Social Cognitive Career Theory, Osama Eljabiri Jan 2014

Increasing Adolescent Interest In Computing Through The Use Of Social Cognitive Career Theory, Osama Eljabiri

Dissertations

While empirical research efforts are sufficient to provide evidence of the role of most constructs in the Social Cognitive Career Theory (SCCT), this dissertation shifts the research focus and finds serious shortcomings in defining the construct of computer technology learning experiences design.

The purpose of this dissertation is to investigate whether, and to what extent, the proposed SCCT-enhanced framework can increase self-efficacy and interest of pre-college and college students in computer-based technology through the newly proposed “Learning Experiences” construct; in particular, whether it can reduce the gender gaps.

As a result of a comprehensive literature review, the dissertation connects learning, …


Svmaud: Using Textual Information To Predict The Audience Level Of Written Works Using Support Vector Machines, Todd Will Jan 2014

Svmaud: Using Textual Information To Predict The Audience Level Of Written Works Using Support Vector Machines, Todd Will

Dissertations

Information retrieval systems should seek to match resources with the reading ability of the individual user; similarly, an author must choose vocabulary and sentence structures appropriate for his or her audience. Traditional readability formulas, including the popular Flesch-Kincaid Reading Age and the Dale-Chall Reading Ease Score, rely on numerical representations of text characteristics, including syllable counts and sentence lengths, to suggest audience level of resources. However, the author’s chosen vocabulary, sentence structure, and even the page formatting can alter the predicted audience level by several levels, especially in the case of digital library resources. For these reasons, the performance of …