Databases and Information Systems Commons^™

Exploring Welfare Recipients' Self-Sufficiency Barriers Through Information Management Systems In Tennessee, Valenta Eunice Nichols

Walden Dissertations and Doctoral Studies

Families living on welfare in low-income impoverished neighborhoods encounter multiple barriers that need mitigating before seeking work to reach self-sufficiency. Many welfare recipients' self-sufficiency barriers are unnoticeable to caseworkers due to lack of data sharing to assess clients' needs through information technology processes. The purpose of this exploratory descriptive phenomenological qualitative study was to understand welfare recipients' viewpoints on socioeconomic barriers to living self-sufficiently and gain perspectives from human services caseworkers and technical resources on data sharing issues that impact recipients' ability to live independently from government assistance. Data collection and observational field notes resulted from in-depth interviews of 11 …

Strategies To Manage Cloud Computing Operational Costs, Frankie Nii A Sackey

Walden Dissertations and Doctoral Studies

Information technology (IT) managers worldwide have adopted cloud computing because of its potential to improve reliability, scalability, security, business agility, and cost savings; however, the rapid adoption of cloud computing has created challenges for IT managers, who have reported an estimated 30% wastage of cloud resources. The purpose of this single case study was to explore successful strategies and processes for managing infrastructure operations costs in cloud computing. The sociotechnical systems (STS) approach was the conceptual framework for the study. Semistructured interviews were conducted with 6 IT managers directly involved in cloud cost management. The data were analyzed using a …

Complexity Theory Of Leadership And Management Information, Mark Aloysius Simpson

Walden Dissertations and Doctoral Studies

Implementing effective leadership strategies in management of information systems (MIS) can positively influence overall organizational performance. This study was an exploration of the general problem of failure to lead effectively in the current knowledge-based economy and the resulting deleterious effects on organizational performance and threats to continuing organizational viability. The specific problem was the lack of understanding regarding the interaction of leadership processes with MIS functions and the impact on organizational success. Managers' and employees' lived experiences of leadership in small- to medium-sized enterprises were explored, as well as how those experiences influenced the organization's adaptive responses regarding technology and …

Small Business Owners' Search For Profitability Under The Affordable Care Act, Alton Simpson

Walden Dissertations and Doctoral Studies

Health care costs for small businesses have been rising annually for the past few decades. Congress voted to pass the Affordable Care Act (ACA) to lower the cost of health care in 2010. The purpose of this phenomenological study was to explore small business owners' experiences in implementing ACA requirements and how the ACA affects small businesses as their owners work to make these organizations profitable. Complex adaptive systems theory formed the conceptual framework for this study Data were gathered during face-to-face and telephone interviews with a sample of 20 small business owners in the Philadelphia region. The research questions …

The Relationship Between Leadership Style And Cognitive Style To Software Project Success, Jacquelyne L. Wilson

Walden Dissertations and Doctoral Studies

Project managers can be change agents providing direction and motivation for subordinates to meet and exceed goals; however, there is a lack of information about the soft skills needed to achieve project success. Understanding the relationship between cognitive style and transformational leadership to software project outcomes is important. This study describes the lived experiences of software project managers by focusing on their attitudes towards, perceptions of, and behaviors related to using transformational leadership and cognitive styles in agile software development environments. Husserlian phenomenological design was used to identify the structure of participants' experiences. The naturalistic decision-making model and the theory …

Overcoming Data Breaches And Human Factors In Minimizing Threats To Cyber-Security Ecosystems, Manouan Pierre-Marius Ayereby

Walden Dissertations and Doctoral Studies

This mixed-methods study focused on the internal human factors responsible for data breaches that could cause adverse impacts on organizations. Based on the Swiss cheese theory, the study was designed to examine preventative measures that managers could implement to minimize potential data breaches resulting from internal employees' behaviors. The purpose of this study was to provide insight to managers about developing strategies that could prevent data breaches from cyber-threats by focusing on the specific internal human factors responsible for data breaches, the root causes, and the preventive measures that could minimize threats from internal employees. Data were collected from 10 …

Strategies For Achieving Profitability In The Music Streaming Service Business Model, James Bennett

Walden Dissertations and Doctoral Studies

Although the rapid growth of the music streaming industry has led to record levels of global music consumption, many leaders in the music streaming industry have not developed a financially sustainable business model for music streaming. This descriptive single case study focused on strategies that some global music streaming service leaders used to generate sustainable profits through their business models. Christensen's theory of disruptive innovation served as the conceptual framework for this study. Semistructured interviews with the chief executive officer and 4 senior managers of a leading music streaming service in southeastern Asia were analyzed to identify themes. Secondary data …

Relationship Between Software Development Team Structure, Ambiguity, Volatility, And Project Failure, Dominic Martinelli Saxton

Walden Dissertations and Doctoral Studies

Complex environments like the United States Air Force's advanced weapon systems are highly reliant on externally developed software, which is often delivered late, over budget, and with fewer benefits than expected. Grounded in Galbraith's organizational information processing theory, the purpose of this correlational study was to examine the relationship between software development team structure, ambiguity, volatility and software project failure. Participants included 23 members of the Armed Forces Communications and Electronics Association in the southeastern United States who completed 4 project management surveys. Results of multiple regression analysis indicated the model as a whole was able to predict software project …

Digital Strategies Senior Bank Executives In Mauritius Use To Improve Customer Service, Sailesh Sewpaul

Walden Dissertations and Doctoral Studies

Customers' use of digital banking has reshaped traditional banking, and senior level bank executives must know how to leverage this innovation to improve customer service to increase profitability. Using the technology acceptance model as the conceptual framework, the purpose of this multiple case study was to explore effective digital banking strategies that senior level executives used to improve customer service to increase profitability. The target population for this study included senior-level executives from 3 banks in Mauritius possessing successful development and implementation experience in digital banking strategies to improve customer service. Data were collected through semistructured interviews and organizational documents, …

Anatomy Of Online Hate: Developing A Taxonomy And Machine Learning Models For Identifying And Classifying Hate In Online News Media, Joni Salminen, Hind Almerekhi, Milica Milenkovic, Soon-Gyu Jung, Haewoon Kwak, Haewoon Kwak, Bernard J. Jansen

Research Collection School Of Computing and Information Systems

Online social media platforms generally attempt to mitigate hateful expressions, as these comments can be detrimental to the health of the community. However, automatically identifying hateful comments can be challenging. We manually label 5,143 hateful expressions posted to YouTube and Facebook videos among a dataset of 137,098 comments from an online news media. We then create a granular taxonomy of different types and targets of online hate and train machine learning models to automatically detect and classify the hateful comments in the full dataset. Our contribution is twofold: 1) creating a granular taxonomy for hateful online comments that includes both …

Skylens: Visual Analysis Of Skyline On Multi-Dimensional Data, Xun Zhao, Yanhong Wu, Weiwei Cui, Xinnan Du, Yuan Chen, Yong Wang, Dik Lun Lee, Huamin Qu

Research Collection School Of Computing and Information Systems

Skyline queries have wide-ranging applications in fields that involve multi-criteria decision making, including tourism, retail industry, and human resources. By automatically removing incompetent candidates, skyline queries allow users to focus on a subset of superior data items (i.e.. the skyline), thus reducing the decision-making overhead. However, users are still required to interpret and compare these superior items manually before making a successful choice. This task is challenging because of two issues. First, people usually have fuzzy, unstable, and inconsistent preferences when presented with multiple candidates. Second, skyline queries do not reveal the reasons for the superiority of certain skyline points …

Breadcrumbs: Privacy As A Privilege, Prachi Bhardwaj

Capstones

Breadcrumbs: Privacy as a Privilege Abstract

By: Prachi Bhardwaj

In 2017, the world saw more data breaches than in any year prior. The count was more than the all-time high record in 2016, which was 40 percent more than the year before that.

That’s because consumer data is incredibly valuable today. In the last three decades, data storage has gone from being stored physically to being stored almost entirely digitally, which means consumer data is more accessible and applicable to business strategies. As a result, companies are gathering data in ways previously unknown to the average consumer, and hackers are …

Introduction To The Usu Library Of Solutions To The Einstein Field Equations, Ian M. Anderson, Charles G. Torre

Tutorials on... in 1 hour or less

This is a Maple worksheet providing an introduction to the USU Library of Solutions to the Einstein Field Equations. The library is part of the DifferentialGeometry software project and is a collection of symbolic data and metadata describing solutions to the Einstein equations.

Design And Implementation Of A Stand-Alone Tool For Metabolic Simulations, Milad Ghiasi Rad

School of Computing: Dissertations, Theses, and Student Research

In this thesis, we present the design and implementation of a stand-alone tool for metabolic simulations. This system is able to integrate custom-built SBML models along with external user’s input information and produces the estimation of any reactants participating in the chain of the reactions in the provided model, e.g., ATP, Glucose, Insulin, for the given duration using numerical analysis and simulations. This tool offers the food intake arguments in the calculations to consider the personalized metabolic characteristics in the simulations. The tool has also been generalized to take into consideration of temporal genomic information and be flexible for simulation …

Altering The Expression Of Artemisinin Through Osmotic Manipulation, Tyler Friesen

Theses/Capstones/Creative Projects

Artemisinin is an anti-malarial drug used in combination therapy to treat all malarial parasites in the blood stage. The expression of artemisinin within the plant Artemisia annua is only 1% of the dry weight. Methods for increasing the level of artemisinin within the plant were proposed. This paper looks into finding homologous enzymes across multiple species in order to find species where genetic manipulations will be useful. The second part of this paper looks at the use of osmotic stress to increase the reactive oxygen species in order to increase the amount of artemisinin within the plant. The database portion …

Leveraging Auxiliary Tasks For Document-Level Cross-Domain Sentiment Classification, Jianfei Yu, Jing Jiang

Research Collection School Of Computing and Information Systems

In this paper, we study domain adaptationwith a state-of-the-art hierarchicalneural network for document-level sentimentclassification. We first design a newauxiliary task based on sentiment scoresof domain-independent words. We thenpropose two neural network architecturesto respectively induce document embeddingsand sentence embeddings that workwell for different domains. When thesedocument and sentence embeddings areused for sentiment classification, we findthat with both pseudo and external sentimentlexicons, our proposed methods canperform similarly to or better than severalhighly competitive domain adaptationmethods on a benchmark dataset of productreviews.

Proactive Sequential Resource (Re)Distribution For Improving Efficiency In Urban Environments, Supriyo Ghosh

Dissertations and Theses Collection (Open Access)

Due to the increasing population and lack of coordination, there is a mismatch in supply and demand of common resources (e.g., shared bikes, ambulances, taxis) in urban environments, which has deteriorated a wide variety of quality of life metrics such as success rate in issuing shared bikes, response times for emergency needs, waiting times in queues etc. Thus, in my thesis, I propose efficient algorithms that optimise the quality of life metrics by proactively redistributing the resources using intelligent operational (day-to-day) and strategic (long-term) decisions in the context of urban transportation and health & safety. For urban transportation, Bike Sharing …

Online Learning With Nonlinear Models, Doyen Sahoo

Dissertations and Theses Collection (Open Access)

Recent years have witnessed the success of two broad categories of machine learning algorithms: (i) Online Learning; and (ii) Learning with nonlinear models. Typical machine learning algorithms assume that the entire data is available prior to the training task. This is often not the case in the real world, where data often arrives sequentially in a stream, or is too large to be stored in memory. To address these challenges, Online Learning techniques evolved as a promising solution to having highly scalable and efficient learning methodologies which could learn from data arriving sequentially. Next, as the real world data exhibited …

Policy Analytics For Environmental Sustainability: Household Hazardous Waste And Water Impacts Of Carbon Pollution Standards, Kustini

Dissertations and Theses Collection (Open Access)

Policy analytics are essential in supporting more informed policy-making in environmental management. This dissertation employs a fusion of machine methods and explanatory empiricism that involves data analytics, math programming, optimization, econometrics, geospatial and spatiotemporal analysis, and other approaches for assessing and evaluating current and future environmental policies.
Essay 1 discusses household informedness and its impact on the collection and recycling of household hazardous waste (HHW). Household informedness is the degree to which households have the necessary information to make utility-maximizing decisions about the handling of their waste. Such informedness seems to be influenced by HHW public education and environmental quality …

Ethics And Bias In Machine Learning: A Technical Study Of What Makes Us “Good”, Ashley Nicole Shadowen

Student Theses

The topic of machine ethics is growing in recognition and energy, but bias in machine learning algorithms outpaces it to date. Bias is a complicated term with good and bad connotations in the field of algorithmic prediction making. Especially in circumstances with legal and ethical consequences, we must study the results of these machines to ensure fairness. This paper attempts to address ethics at the algorithmic level of autonomous machines. There is no one solution to solving machine bias, it depends on the context of the given system and the most reasonable way to avoid biased decisions while maintaining the …