Physical Sciences and Mathematics Commons^™

Successful Information Technology Project Process Management Best Practices, Jude Oderaa Orazulike

Walden Dissertations and Doctoral Studies

Globally, most information technology projects (ITPs) are reported as unsuccessful. Poor project management practices have consistently been identified as the leading cause of ITP failures. However, ITP practitioners manage project processes in diverse ways without clear guiding principles in terms of what does or does not work in practice for success. Process management practices in projects were explored in this grounded theory qualitative study from a systems theory perspective. The purpose was to understand from project practitioners' experiences what guiding principles potentially influenced ITPs to success. These experiences were then analyzed to develop a theory describing how to best use …

Strategies For Cryptocurrency Adoption In Contemporary Businesses, Jacqueline Rodriguez

Walden Dissertations and Doctoral Studies

Millions of Bitcoin transactions occur daily, worth nearly $2 billion annually. With the proliferation of cryptocurrency markets, the reluctance to adopt the currency as an alternate payment method could cause businesses to forgo growth opportunities within this expanding market. Grounded in the diffusion of innovation theory, the purpose of this qualitative multiple-case study was to explore strategies business leaders use to respond to the alternative payment concerns perpetuated by cryptocurrency markets. The participants comprised 6 business leaders who effectively employed cryptocurrency adoption strategies. Data were collected through semistructured interviews, corporate documents, and other company social media resources. Thematic analysis of …

Strategies Business Leaders Use To Mitigate Online Credit Card Fraud, Clarissa Rosario-Tavarez

Walden Dissertations and Doctoral Studies

Online credit card fraud targeting banks, customers, and businesses costs millions of U.S. dollars annually. Online business leaders face challenges securing and regulating the online payment processing environment. Grounded in the situational crime prevention theory, the purpose of this qualitative multiple case study was to explore strategies online business leaders use to mitigate the loss of revenue caused by online credit card fraud. The participants comprised five online business leaders of an organization in the Southwest of the United States, who implemented strategies that successfully mitigated revenue losses due to online credit card fraud. The data were collected from semistructured …

Use Of Human–Computer Interaction Devices And Web 3.0 Skills Among Engineers, Dr. Robbie L. Walker

Walden Dissertations and Doctoral Studies

Despite massive company investments in human–computer interaction devices and software, such as Web 3.0 technologies, engineers are not demonstrating measurable performance and productivity increases. There is a lack of knowledge and understanding related to the motivation of engineers to use Web 3.0 technologies including the semantic web and cloud applications for increased performance. The purpose of this quantitative correlational study was to investigate whether the use of human–computer interaction devices predict Web 3.0 skills among engineers. Solow’s information technology productivity paradox was the theoretical foundation for this study. Convenience sampling was used for a sample of 214 participants from metropolitan …

Relationship Between Vendor/Client Complementarity, Vendor Technology Maturity, Vendor Financial Stability, And It Outsourcing Project Outcomes, Everton A. Wilson

Walden Dissertations and Doctoral Studies

Business and IT leaders in financial services are concerned with the limited benefits they are reaping from information technology outsourcing (ITO) projects, despite continued heavy investments in ITO. Grounded in the transaction cost, agency, and resource-based view theories, the purpose of this quantitative correlational study was to examine the relationship between vendor/client complementarity, vendor technology maturity, vendor financial stability, and ITO success. Participants were 65 business and IT leaders in financial institutions engaged in ITO projects. The result of the multiple linear regression was significant, F(3, 61) = 4.845, p = .004, R2 = .192. In the final analysis, vendor/client …

Grade K-5 Teachers’ Perceptions Of Professional Development That Supports Mathematics Instruction, Shannon Annette Manley

Walden Dissertations and Doctoral Studies

Many Grade K-5 teachers in the United States do not receive the mathematics support they need from the professional development (PD) activities offered by their school districts. The purpose of this qualitative research was to explore the perceptions of Grade K-5 teachers on the PD activities they received from their school district to support mathematics instruction. The conceptual framework that supported this study was andragogy, an adult learning theory that takes the learner’s needs into account and values the connection to real-world situations. The research question addressed how Grade K-5 teachers perceive the PD that they were offered by their …

Strategies For Attracting And Retaining Highly Skilled It Professionals For The High-Tech Workforce, Mia Gyjuan Moore

Walden Dissertations and Doctoral Studies

Many information technology (IT) managers have experienced challenges retaining high-tech professionals. Organization leaders lose investments of time and money when essential personnel leave. Grounded in the task-technology fit theory and the technology acceptance model, the purpose of this qualitative multiple-case study was to explore technology-focused strategies IT managers use to attract and retain IT professionals. The participants included five IT managers from five high-tech organizations who implemented strategies to attract and retain IT professionals. Data were collected from semistructured interviews and online resources. Thematic analysis revealed four themes: (a) using high-tech tools and alternative methods, (b) employing talent management techniques, …

Impact Of Internal Control, Cybersecurity Risk, And Competitive Advantage On Retail Cybersecurity Budget, Samuel William Pfanstiel

Walden Dissertations and Doctoral Studies

Retail organizations are driven to improve security posture for many reasons, including meeting financial regulation requirements, mitigating threats of data breach, and differentiating themselves within markets affected by customer perception. The problem was that little was known about how these drivers of internal control, cybersecurity risk, and competitive advantage impact retail cybersecurity budgets within the retail sector. The purpose of this quantitative nonexperimental correlational study was to describe the relationship between cybersecurity budget and drivers of internal control, cybersecurity risk, and competitive advantage among U.S.-based retail merchant organizations. Real options theory provided a foundation for explaining this decision-making process. Data …

Individual Contributor Experiences Of Task Uncertainty And Task Interdependence Under Different Structures, Andrew R. Barbeau

Walden Dissertations and Doctoral Studies

Approximately 84% of North American individual contributors work in organizations with functionally specialized structures where task uncertainty (TU) and task interdependence (TI) undermine cross-functional task execution. However, there is a lack of research into the TU and TI experiences of individual contributors under different organizational structures. It is important that senior leaders have this missing knowledge to inform structural decisions. The purpose of this generic qualitative, exploratory, snowball sampling study is to explore how individual contributors experience TU and TI following a reorganization from a functional to a horizontal organizational structure. In the current study, the research questions explored were …

Offshore Wind Industry Interorganizational Collaboration Strategies In Emergency Management, Rodney L. Brady

Walden Dissertations and Doctoral Studies

Some health and safety (HSE) managers within the offshore wind industry lack effective interorganizational collaboration strategies in emergency management (EM) for successful disaster mitigation, preparedness, response, and recovery. The failure and the reluctance of neighboring offshore wind industry organizations to share knowledge or resources during a disaster could hinder successful disaster response operations resulting in preventable loss of life, extensive property damage, or damaged company reputations. Grounded in the interorganizational collaboration theory, the purpose of this qualitative multiple case study was to explore strategies HSE managers in the offshore wind industry use for successful disaster mitigation, preparedness, response, and recovery. …

Climbing The Economic Ladder - Doing Business In Saint Vincent And The Grenadines Using Sdg-Related Policies, Romena Tamira L.V. Browne

Walden Dissertations and Doctoral Studies

Through Invest SVG, a statutory body under the auspices of the Ministry of Finance, Economic Planning, and Information Technology, the government of Saint Vincent and the Grenadines was seeking to develop a policy environment that was conducive to optimal growth for private sector development, in keeping with the Sustainable Development Goals. The outcomes of such endeavors may include but are not limited to higher levels of employment, revenue generation, and economic growth. In this study, two primary areas were addressed: the regulatory weaknesses for doing business in Saint Vincent and the Grenadines, using the criteria outlined in The Ease of …

Adoption Of It Governance Strategies For Multiproduct Devops Teams: A Correlational Quantitative Study, Russell Camilleri

Walden Dissertations and Doctoral Studies

Many multiproduct delivery organizations have difficulty adopting Information Technology (IT) governance practices within their Development and Operations (DevOps) teams. IT leaders who are managing DevOps teams, need to understand the factors influencing IT governance (ITG) adoption; otherwise this may impact DevOps maturity, resulting in reduced product delivery capabilities. Grounded in the technology acceptance model, the purpose of this quantitative correlational study was to examine the relationship between performance expectancy (PE), effort expectancy (EE), social influence (SI), and facilitating conditions (FC), as moderated by experience (EXP), gender (GND), age (AGE), and voluntariness of use (VOL) with behavioral intention (BI) to adopt …

Infrastructure As Code Strategies And Benefits In Cloud Computing, Jeffrey Chijioke-Uche

Walden Dissertations and Doctoral Studies

Hybrid and multicloud infrastructure implementation without automation and versioning strategy can negatively impact organizations’ productivity. Organization leaders must ensure that infrastructures are implemented using the infrastructure as code (IaC) strategy because implementation solutions, including automated and DevOps procedures, provide assets for repeatable infrastructure implementation use cases. Grounded in the disruptive innovation theory, the purpose of this qualitative pragmatic inquiry study was to explore strategies solution architects use to implement IaC architecture using repeatable assets with DevOps procedures in cloud computing. The participants were seven solution architects in the information technology (IT) industry within the United States who have successfully implemented …

Strategies For Catalyzing Supply Chain Innovation In Midsized Manufacturing Firms, Matthew J. Szukalowski Iii

Walden Dissertations and Doctoral Studies

Supply chain inflexibility results in reduced efficiency and profitability. Without supply chain flexibility, supply chain managers in manufacturing firms risk the loss of competitive advantage due to reduced efficiency and profitability. Grounded in business process engineering conceptual framework, the purpose of this qualitative multiple case study was to explore strategies supply chain leaders in manufacturing organizations use to achieve supply chain flexibility. The participants were five supply chain leaders in the manufacturing industry in the midwestern United States and successfully implemented innovative solutions to achieve supply chain flexibility. Data were collected using semistructured interviews and a review of company documents …

Irradiance Source For Exoplanet Atmospheric Spectra, Savannah Lyons

Master's Theses and Doctoral Dissertations

The quantity and diversity of the known exoplanets have grown in recent years. This has brought about a need for more efficient methods of narrowing down the list to those exoplanets most likely to sustain life. The Atmosphere in a Test Tube project, which began at the University of Padova, Italy, is accomplishing this in a laboratory setting through examination of exoplanet atmospheric responses to photosynthetic bacteria under simulations of the irradiance conditions of a planet’s host star. The goal of this project was to design and construct a second-generation apparatus at Eastern Michigan University. The team focused on an …

Mismatches In Scale Between Highly Mobile Marine Megafauna And Marine Protected Areas, Melinda G. Conners, Nicholas B. Sisson, Pierre D. Agamboue, Philip W. Atkinson, Alastair M.M. Baylis, Scott R. Benson, Barbara A. Block, Steven J. Bograd, Pablo Bordino, W. D. Bowen, Paul Brickle, Ignacio M. Bruno, Victoria González Carman, Cory D. Champagne, Daniel E. Crocker, Daniel P. Costa, Tiffany M. Dawson, Tomohiro Deguchi, Heidi Dewar, Philip D. Doherty, Tomo Eguchi, Angela Formia, Brendan J. Godley, Rachel T. Graham, Christian Gredzens, Kristen M. Hart, Lucy A. Hawkes, Suzanne Henderson, Robert William Henry Iii, Luis A. Hückstädt, Ladd M. Irvine, Sarah S. Kienle, Carey E. Kuhn, Damian Lidgard, Stephanie A. Loredo, Bruce R. Mate, Kristian Metcalfe, Jacob Nzegoue, Carmen K. Kouerey Oliwina, Rachel A. Orben, Kiyoaki Ozaki, Richard Parnell, Elizabeth P. Pike, Patrick W. Robinson, Howard C. Rosenbaum, Fumio Sato, Scott A. Shaffer, Donna J. Shaver, Samantha E. Simmons, Brian J. Smith, Guy-Philippe Sounguet, Robert M. Suryan, David R. Thompson, Megan Tierney, Dominic Tilley, Hillary S. Young, Victoria Warwick-Evans, Michael J. Weise, Randall S. Wells, Bradley P. Wilkinson, Matthew J. Witt, Sarah M. Maxwell

Biological Sciences Faculty Publications

Marine protected areas (MPAs), particularly large MPAs, are increasing in number and size around the globe in part to facilitate the conservation of marine megafauna under the assumption that large-scale MPAs better align with vagile life histories; however, this alignment is not well established. Using a global tracking dataset from 36 species across five taxa, chosen to reflect the span of home range size in highly mobile marine megafauna, we show most MPAs are too small to encompass complete home ranges of most species. Based on size alone, 40% of existing MPAs could encompass the home ranges of the smallest …

Influence Of Abiotic Drivers On 1-Year Seedling Survival Of Six Mangrove Species In Southeast Asia, Taylor M. Sloey, Kiah Eng Lim, Jared Moore, Jie Min Heng, Jia Min Heng, Michiel Van Breugel

Biological Sciences Faculty Publications

Establishment and survival of plant species in systems with dominant environmental drivers (i.e. factors that exert disproportionate control over species establishment and survival) is often thought to be dominated by one master variable. In forested wetlands such as mangroves, hydrology is typically considered the dominant limiting driver. At the same time, light is a major driver of plant community dynamics, with some of the best understood plant life-history tradeoffs related to fast growth under high-light conditions versus survival under low-light conditions. Yet light is given relatively limited consideration in mangrove research compared to other drivers. Understanding the relative importance of …

Deep Learning Augmentation For Medical Image Analysis, Fouzia Altaf

Theses: Doctorates and Masters

Deep learning is at the center of the current rise of computer aided diagnosis in medical imaging. This technology has the ability to mimic extremely complex mathematical functions for predictive tasks. These functions are encoded as computational models that are learned directly from data. Deep learning models are known to achieve human-level accuracy for predictive tasks. However, such a performance requires that the model is trained on a huge amount of training data. For computer aided diagnosis tasks, the relevant training data needs to be carefully annotated by medical experts. This process is laborious and expensive, which generally results in …

Machine Infelicity In A Poignant Visitor Setting: Comparing Human And Ai’S Ability To Analyze Discourse, Martin Maccarthy, Hairong Shan

Research outputs 2014 to 2021

This study compares the efficacy of computer and human analytics in a commemorative setting. Both deductive and inductive reasoning are compared using the same data across both methods. The data comprises 2490 non-repeated, non-dialogical social media comments from the popular touristic site Tripadvisor. Included in the analysis is participant observation at two Anzac commemorative sites, one in Western Australia and one in Northern France. The data is then processed using both Leximancer V4.51 and Dialectic Thematic Analysis. The findings demonstrate artificial intelligence (AI) was incapable of insight beyond metric-driven content analysis. While fully deduced by human analysis the metamodel was …

Identifying Key Elements To Assess Patient’S Acceptability Of Neurorehabilitation In Stroke Survivors–A Delphi Method, Manonita Ghosh, Kaoru Nosaka, Lisa Whitehead, Kazunori Nosaka

Research outputs 2014 to 2021

Purpose: Assessing patient acceptability of treatment is a clinical concern. No guidance exists to determine the best way to measure acceptability in stroke neurorehabilitation. This study identifies key elements to measure patient’s acceptance of stroke neurorehabilitation by establishing expert consensus.

>Materials and methods: A four-phase Delphi method with a three-round electronic-based survey was conducted. Experts were considered as stroke survivors or their caregivers and professionals in stroke neurorehabilitation. A twenty-five-item list was sourced from a literature review and discussion with a consumer panel (n = 22). In Round-1 (n = 118) and Round-2 (n = 80), experts …

A Truly Spatial Random Forests Algorithm For Geoscience Data Analysis And Modelling, Hassan Talebi, Luk J. M. Peeters, Alex Otto, Raimon Tolosana-Delgado

Research outputs 2014 to 2021

Spatial data mining helps to find hidden but potentially informative patterns from large and high-dimensional geoscience data. Non-spatial learners generally look at the observations based on their relationships in the feature space, which means that they cannot consider spatial relationships between regionalised variables. This study introduces a novel spatial random forests technique based on higher-order spatial statistics for analysis and modelling of spatial data. Unlike the classical random forests algorithm that uses pixelwise spectral information as predictors, the proposed spatial random forests algorithm uses the local spatial-spectral information (i.e., vectorised spatial patterns) to learn intrinsic heterogeneity, spatial dependencies, and complex …

Evaluating Essential Processes And Forecast Requirements For Meteotsunami-Induced Coastal Flooding, Chenfu Huang, Eric Anderson, Yi Liu, Gangfeng Ma, Greg Mann, Pengfei Xue

Civil & Environmental Engineering Faculty Publications

Meteotsunamis pose a unique threat to coastal communities and often lead to damage of coastal infrastructure, deluge of nearby property, and loss of life and injury. The Great Lakes are a known hot-spot of meteotsunami activity and serve as an important region for investigation of essential hydrodynamic processes and model forecast requirements in meteotsunami-induced coastal flooding. For this work, we developed an advanced hydrodynamic model and evaluate key model attributes and dynamic processes, including: (1) coastal model grid resolution and wetting and drying process in low-lying zones, (2) coastal infrastructure, including breakwaters and associated submerging and overtopping processes, (3) annual/seasonal …

Integrating Deep Learning And Hydrodynamic Modeling To Improve The Great Lakes Forecast, Pengfei Xue, Aditya Wagh, Gangfeng Ma, Yilin Wang, Yongchao Yang, Tao Liu, Chenfu Huang

Civil & Environmental Engineering Faculty Publications

The Laurentian Great Lakes, one of the world’s largest surface freshwater systems, pose a modeling challenge in seasonal forecast and climate projection. While physics-based hydrodynamic modeling is a fundamental approach, improving the forecast accuracy remains critical. In recent years, machine learning (ML) has quickly emerged in geoscience applications, but its application to the Great Lakes hydrodynamic prediction is still in its early stages. This work is the first one to explore a deep learning approach to predicting spatiotemporal distributions of the lake surface temperature (LST) in the Great Lakes. Our study shows that the Long Short-Term Memory (LSTM) neural network, …

More Amazon Than Mafia: Analysing A Ddos Stresser Service As Organised Cybercrime, Roberto Musotto, David S. Wall

Research outputs 2014 to 2021

© 2020, The Author(s). The internet mafia trope has shaped our knowledge about organised crime groups online, yet the evidence is largely speculative and the logic often flawed. This paper adds to current knowledge by exploring the development, operation and demise of an online criminal group as a case study. In this article we analyse a DDoS (Distributed Denial of Service) stresser (also known as booter) which sells its services online to enable offenders to launch attacks. Using Social Network Analysis to explore the service operations and payment systems, our findings show a central business model that is similar to …

Reducing Print Time While Minimizing Loss In Mechanical Properties In Consumer Fdm Parts, Long Le, Mitchel A. Rabsatt, Hamid Eisazadeh, Mona Torabizadeh

Mechanical & Aerospace Engineering Faculty Publications

Fused deposition modeling (FDM), one of various additive manufacturing (AM) technologies, offers a useful and accessible tool for prototyping and manufacturing small volume functional parts. Polylactic acid (PLA) is among the commonly used materials for this process. This study explores the mechanical properties and print time of additively manufactured PLA with consideration to various process parameters. The objective of this study is to optimize the process parameters for the fastest print time possible while minimizing the loss in ultimate strength. Design of experiments (DOE) was employed using a split-plot design with five factors. Analysis of variance (ANOVA) was employed to …

Synthesis Of Functional Chalcone Library For Use In Aza- Dipyrromethene Dye Systems, Kendal Crawley

Murray State Theses and Dissertations

Over the past decade, Aza-Bodipy dyes (ADPs), a derivative of the extensively studied BF₂-dipyrromethene (BODIPY), have become a growing field of research due to their unique photophysical properties, high yielding synthesis, and relative stability. They possess a unique spectral window of 600 to 750 nm which is the red to near-IR region, evidenced by the blue color of many of these dyes. Increasing interest in these dyes is due to this near-IR window which is important for many applications.^1-4 ADP chromophores also have a common core motif to that of phthalocyanines which allow for coordination at their …

A Monolithic 3d Printed Axisymmetric Co-Flow Single And Compound Emulsion Generator, Amirreza Ghaznavi, Yang Lin, Mark Douvidzon, Adam Szmelter, Alannah Rodrigues, Malik Blackman, David Eddington, Tal Carmon, Lev Deych, Lan Yang, Jie Xu

Publications and Research

We report a microfluidic droplet generator which can produce single and compound droplets using a 3D axisymmetric co-flow structure. The design considered for the fabrication of the device integrated a user-friendly and cost-effective 3D printing process. To verify the performance of the device, single and compound emulsions of deionized water and mineral oil were generated and their features such as size, generation frequency, and emulsion structures were successfully characterized. In addition, the generation of bio emulsions such as alginate and collagen aqueous droplets in mineral oil was demonstrated in this study. Overall, the monolithic 3D printed axisymmetric droplet generator could …

Trapped Surfaces, Topology Of Black Holes, And The Positive Mass Theorem, Lan-Hsuan Huang, Dan A. Lee

Publications and Research

No abstract provided.

Satellite Evidence Of Canopy-Height Dependence Of Forest Drought Resistance In Southwestern China, Peipei Xu, Wei Fang, Tao Zhou, Hu Li, Xiang Zhao, Spencer Berman, Ting Zhang, Chuixiang Yi

Publications and Research

The frequency and intensity of drought events are increasing with warming climate, which has resulted in worldwide forest mortality. Previous studies have reached a general consensus on the size-dependency of forest resistance to drought, but further understanding at a local scale remains ambiguous with conflicting evidence. In this study, we assessed the impact of canopy height on forest drought resistance in the broadleaf deciduous forest of southwestern China for the 2010 extreme drought event using linear regression and a random forest (RF) model. Drought condition was quantified with standardized precipitation evapotranspiration index (SPEI) and drought resistance was measured with the …

Combinatorial Optimization With Photonics-Inspired Clock Models, Mostafa Honari-Latifpour, Matthew S. Mills, Mohammad-Ali Miri

Publications and Research

NP-hard combinatorial optimization problems are in general hard problems that their computational complexity grows faster than polynomial scaling with the size of the problem. Thus, over the years there has been a great interest in developing unconventional methods and algorithms for solving such problems. Here, inspired by the nonlinear optical process of q-photon down-conversion, in which a photon is converted into q degenerate lower energy photons, we introduce a nonlinear dynamical model that builds on coupled single-variable phase oscillators and allows for efficiently approximating the ground state of the classical q-state planar Potts Hamiltonian. This reduces the exhaustive search in …