Databases and Information Systems Commons^™

Effective Strategies For Using Telecommuting By Owners Of Small Businesses, Thomas Law

Walden Dissertations and Doctoral Studies

Small business owners who lack effective strategies to incorporate telecommuting may be unable to retain teleworking employees, create a flexible working environment, or improve workforce morale, negatively impacting company productivity and profitability. Grounded in transformational leadership theory and sociotechnical systems theory, the purpose of this qualitative multiple case study was to explore strategies small business owners use to incorporate telecommuting to retain teleworking employees. Data were collected from five small business owners in Texas with at least 1 year of management experience and created and maintained remote working strategies. Data collection included semistructured interviews and company documents. Three themes emerged …

Perceptions And Knowledge Of Information Security Policy Compliance In Organizational Personnel, Jesus M. Mosqueda

Walden Dissertations and Doctoral Studies

All internet connected organizations are becoming increasingly vulnerable to cyberattacks due to information security policy noncompliance of personnel. The problem is important to information technology (IT) firms, organizations with IT integration, and any consumer who has shared personal information online, because noncompliance is the single greatest threat to cybersecurity, which leads to expensive breaches that put private information in danger. Grounded in the protection motivation theory, the purpose of this quantitative study was to use multiple regression analysis to examine the relationship between perceived importance, organizational compliance, management involvement, seeking guidance, and rate of cybersecurity attack. The research question for …

A Sociotechnical Systems View Of Computer Self-Efficacy And Usability Determinants Of Technical Readiness, Stefani L. Tucker

Walden Dissertations and Doctoral Studies

The specific research problem was that it is unknown whether computer self-efficacy and usability determine technical readiness in hourly and exempt information technology support employees in the United States. The purpose of this correlational study was to examine the relationship between computer self-efficacy and technical readiness, usability and technical readiness, and computer self-efficacy, usability, and technical readiness in hourly and exempt information technology support employees in the United States. Sociotechnical system theory suggests that every transaction has a human and technical aspect; thus, the theoretical framework. The convenience sample included 136 information technology support employees aged 18-70. The regression results …

Understanding U.S. Customers' Intention To Adopt Robo-Advisor Technology, Deborah Wall

Walden Dissertations and Doctoral Studies

Finance and information technology scholars wrote that there is a literature gap on what factors drive investors in Western financial markets to use a Robo-advisor to manage their investments. The purpose of this qualitative, single case study with embedded units is to understand the adoption intentions of retail investors in U.S. markets to use a Robo-advisor instead of a human advisor. A single case study design addressed the literature gap, and qualitative data from seven semi=structured interviews, reflective field notes, and archival data were triangulated to answer the research question. This study was grounded in a theoretical framework that includes …

Developing Consensus On The Use Of Emotional Intelligence Training In Small Utility Companies, Nathaniel E. Holloway

Walden Dissertations and Doctoral Studies

Park and Shaw shared the impact on organizations from unmotivated and unsatisfied employees link to higher turnover ratios. The use of emotional intelligence in manager training lowered employee turnover by 13%. The problem address in this Delphi study was that small utility companies do not have an emotional intelligence plan in place for managerial training. Goleman and Mayer’s framework was used as the theorical lens for examining response of participants to the Delphi study. A panel of experts submitted data in the form of responses to three rounds of questions regarding the use of emotional intelligence training in small businesses. …

Analyzing Small Business Strategies To Prevent External Cybersecurity Threats, Dr. Kevin E. Moore

Walden Dissertations and Doctoral Studies

Some small businesses’ cybersecurity analysts lack strategies to prevent their organizations from compromising personally identifiable information (PII) via external cybersecurity threats. Small business leaders are concerned, as they are the most targeted critical infrastructures in the United States and are a vital part of the economic system as data breaches threaten the viability of these organizations. Grounded in routine activity theory, the purpose of this pragmatic qualitative inquiry was to explore strategies small business organizations utilize to prevent external cybersecurity threats. The participants were nine cybersecurity analysts who utilized strategies to defend small businesses from external threats. Data were collected …

Relationship Between Strategic Dexterity, Absorptive Capacity, And Competitive Advantage, Ifechide Monyei

Walden Dissertations and Doctoral Studies

Small- and medium-sized enterprise (SME) manufacturing executives and managers are concerned with the rapid technological changes involving artificial intelligence (AI), machine learning, and big data. To compete in the global landscape, effectively managing digital and artificial intelligence changes among SME manufacturing executives and managers is critical for leaders to compete in 2023 and beyond. Grounded in the dynamic capabilities view theory, the purpose of this quantitative correlation study was to examine the relationship between strategic dexterity, absorptive capacity, and competitive advantage. The participants were 66 executives and managers of SME manufacturing organizations who use big data and analytics daily and …

Leadership Strategies Supply Chain Managers Use In Adopting Innovative Technology, Bukola Loveth Olowo

Walden Dissertations and Doctoral Studies

Supply chain managers face challenges when adopting new technologies to remain competitive and satisfy consumer demands involving expedited delivery of food and services. Supply chain managers who fail to adopt new technology have a decreased propensity to stay competitive. Grounded in the transformation leadership theory, the purpose of this qualitative multiple-case study was to explore leadership strategies supply chain managers use in adopting innovative technology. Participants were six supply chain managers who successfully used leadership strategies to adopt new innovative technology. Sources for data collection were semistructured interviews, company archival documents, and field notes. Research data were analyzed via thematic …

Strategies Information Technology Managers Use To Retain Qualified Information Technology Employees, Wayne Arnold Reu

Walden Dissertations and Doctoral Studies

Retaining qualified information technology (IT) personnel can take time and effort, given the high demand for skilled positions. Business leaders are concerned with the high turnover of IT employees because of the cost of recruiting and training personnel and the disruption to organizational processes and performance. Grounded in job characteristics theory, the purpose of this qualitative pragmatic inquiry was to explore IT managers' strategies to retain qualified IT employees in organizations across the southwestern United States. Eight IT leaders participated because of their years of experience implementing strategies to retain qualified IT professionals. Data were collected using semistructured interviews and …

Developing Consensus On The Use Of Emotional Intelligence Training In Small Utility Companies, Nathaniel E. Holloway

Walden Dissertations and Doctoral Studies

Park and Shaw shared the impact on organizations from unmotivated and unsatisfied employees link to higher turnover ratios. The use of emotional intelligence in manager training lowered employee turnover by 13%. The problem address in this Delphi study was that small utility companies do not have an emotional intelligence plan in place for managerial training. Goleman and Mayer’s framework was used as the theorical lens for examining response of participants to the Delphi study. A panel of experts submitted data in the form of responses to three rounds of questions regarding the use of emotional intelligence training in small businesses. …

Technical Training To Nonprofit Managers Influences Using Big Data Technology In Business Operations, Dr. Arslan Isaac Phd

Walden Dissertations and Doctoral Studies

This nonexperimental, survey-based online quantitative study on nonprofit managers’ technical training measures the extent of the influence on big data technology use. The unified theory of acceptance and use of technology is a theoretical framework to determine whether business managers are trained to have know-how in using big data technology. This study followed a quantitative methodology to help narrow the gap in research between what is not known in relation to the nonprofit manager’s technical training on the use of big data technology. Today’s data is the most critical asset, but progress toward big data technology-oriented usage needs to be …

Diversification Strategies Business Managers Use To Improve Profitability, Kayode Itiola

Walden Dissertations and Doctoral Studies

A lack of diversification strategies can negatively impact business profitability. Business managers of small and medium-sized enterprises who implement appropriate diversification strategies can improve business profitability, ensuring the firm’s sustainability. Grounded in the modern portfolio theory, the purpose of this qualitative single case study was to explore diversification strategies business managers use to improve profitability. The participants were five business managers who successfully used diversification strategies to enhance business profitability. Sources for data collection were semi-structured interviews, company archival documents, and field notes. Data were analyzed using thematic analysis. Four themes emerged: concentric diversification strategy, horizontal diversification strategy, customer needs …

Effective Strategies For Using Telecommuting By Owners Of Small Businesses, Thomas Law

Walden Dissertations and Doctoral Studies

Small business owners who lack effective strategies to incorporate telecommuting may be unable to retain teleworking employees, create a flexible working environment, or improve workforce morale, negatively impacting company productivity and profitability. Grounded in transformational leadership theory and sociotechnical systems theory, the purpose of this qualitative multiple case study was to explore strategies small business owners use to incorporate telecommuting to retain teleworking employees. Data were collected from five small business owners in Texas with at least 1 year of management experience and created and maintained remote working strategies. Data collection included semistructured interviews and company documents. Three themes emerged …

Relationship Between Strategic Dexterity, Absorptive Capacity, And Competitive Advantage, Ifechide Monyei

Walden Dissertations and Doctoral Studies

Small- and medium-sized enterprise (SME) manufacturing executives and managers are concerned with the rapid technological changes involving artificial intelligence (AI), machine learning, and big data. To compete in the global landscape, effectively managing digital and artificial intelligence changes among SME manufacturing executives and managers is critical for leaders to compete in 2023 and beyond. Grounded in the dynamic capabilities view theory, the purpose of this quantitative correlation study was to examine the relationship between strategic dexterity, absorptive capacity, and competitive advantage. The participants were 66 executives and managers of SME manufacturing organizations who use big data and analytics daily and …

Analyzing Small Business Strategies To Prevent External Cybersecurity Threats, Dr. Kevin E. Moore

Walden Dissertations and Doctoral Studies

Some small businesses’ cybersecurity analysts lack strategies to prevent their organizations from compromising personally identifiable information (PII) via external cybersecurity threats. Small business leaders are concerned, as they are the most targeted critical infrastructures in the United States and are a vital part of the economic system as data breaches threaten the viability of these organizations. Grounded in routine activity theory, the purpose of this pragmatic qualitative inquiry was to explore strategies small business organizations utilize to prevent external cybersecurity threats. The participants were nine cybersecurity analysts who utilized strategies to defend small businesses from external threats. Data were collected …

Perceptions And Knowledge Of Information Security Policy Compliance In Organizational Personnel, Jesus M. Mosqueda

Walden Dissertations and Doctoral Studies

All internet connected organizations are becoming increasingly vulnerable to cyberattacks due to information security policy noncompliance of personnel. The problem is important to information technology (IT) firms, organizations with IT integration, and any consumer who has shared personal information online, because noncompliance is the single greatest threat to cybersecurity, which leads to expensive breaches that put private information in danger. Grounded in the protection motivation theory, the purpose of this quantitative study was to use multiple regression analysis to examine the relationship between perceived importance, organizational compliance, management involvement, seeking guidance, and rate of cybersecurity attack. The research question for …

Leadership Strategies Supply Chain Managers Use In Adopting Innovative Technology, Bukola Loveth Olowo

Walden Dissertations and Doctoral Studies

Supply chain managers face challenges when adopting new technologies to remain competitive and satisfy consumer demands involving expedited delivery of food and services. Supply chain managers who fail to adopt new technology have a decreased propensity to stay competitive. Grounded in the transformation leadership theory, the purpose of this qualitative multiple-case study was to explore leadership strategies supply chain managers use in adopting innovative technology. Participants were six supply chain managers who successfully used leadership strategies to adopt new innovative technology. Sources for data collection were semistructured interviews, company archival documents, and field notes. Research data were analyzed via thematic …

Sequence Checking And Deduplication For Existing Fingerprint Databases, Tahsin Islam Sakif

Graduate Theses, Dissertations, and Problem Reports (ETD)

Biometric technology is a rapidly evolving field with applications that range from access to devices to border crossing and entry/exit processes. Large-scale applications to collect biometric data, such as border crossings result in multimodal biometric databases containing thousands of identities. However, due to human operator error, these databases often contain many instances of image labeling and classification; this is due to the lack of training and throughput pressure that comes with human error. Multiple entries from the same individual may be assigned to a different identity. Rolled fingerprints may be labeled as flat images, a face image entered into a …

Nosql Databases In Kubernetes, Parth Sandip Mehta

Master's Projects

With the increasing popularity of deploying applications in containers, Kubernetes (K8s) has become one of the most accepted container orchestration systems. Kubernetes helps maintain containers smoothly and simplifies DevOps with powerful automations. It was originally developed as a tool to manage stateless microservices that run seamlessly in containers. The ephemeral nature of pods, the smallest deployable unit, in Kubernetes was well-aligned with stateless applications since destroying and recreating pods didn’t impact applications. There was a need to provision solutions around stateful workloads like databases so as to take advantage of K8s. This project explores this need, the challenges associated and …

Using Materialized Views For Answering Graph Pattern Queries, Michael Lan

Dissertations

Discovering patterns in graphs by evaluating graph pattern queries involving direct (edge-to-edge mapping) and reachability (edge-to-path mapping) relationships under homomorphisms on data graphs has been extensively studied. Previous studies have aimed to reduce the evaluation time of graph pattern queries due to the potentially numerous matches on large data graphs.

In this work, the concept of the summary graph is developed to improve the evaluation of tree pattern queries and graph pattern queries. The summary graph first filters out candidate matches which violate certain reachability constraints, and then finds local matches of query edges. This reduces redundancy in the representation …

Android Security: Analysis And Applications, Raina Samuel

Dissertations

The Android mobile system is home to millions of apps that offer a wide range of functionalities. Users rely on Android apps in various facets of daily life, including critical, e.g., medical, settings. Generally, users trust that apps perform their stated purpose safely and accurately. However, despite the platform’s efforts to maintain a safe environment, apps routinely manage to evade scrutiny. This dissertation analyzes Android app behavior and has revealed several weakness: lapses in device authentication schemes, deceptive practices such as apps covering their traces, as well as behavioral and descriptive inaccuracies in medical apps. Examining a large corpus of …

Machine Learning-Based Data Analytics For Understanding Space Weather And Climate, Yasser Abduallah

Dissertations

This dissertation addresses multiple crucial problems in space weather and climate, presenting new machine learning-based data analytics algorithms and models for tackling the problems.

First, the dissertation presents two new approaches to predicting solar flares. One approach, called DeepSun, predicts solar flares by utilizing a machine-learning-as-a-service (MLaaS) platform. The DeepSun system provides a friendly interface for Web users and an application programming interface (API) for remote programming users. It adopts an ensemble learning method that employs several machine learning algorithms to perform multiclass flare prediction. The other approach, named SolarFlareNet, forecasts the occurrence of solar flares within the next 24 …

Implementation Of Ahp And Black Box Testing To The Development Of An Information System For Assessing The Feasibility Of Bumdes Submissions, Hari Toha Hidayat, Husaini Husaini, Nanang Prihatin, Radhiyatammardhiyyah Radhiyatammardhiyyah

Elinvo (Electronics, Informatics, and Vocational Education)

The existence of institutional village enterprises (BUMDES) has never been adequately monitored in terms of the growth of village-owned businesses in each village. According to the data, there are 17 BUMDES in the Muara District that have been inactive for the most part. Due to the difficulty of monitoring the progress of BUMDES, a significant number of them have become stalled or even inactive. In addition, many BUMDES managers are frequently unprepared to operate the newly opened business. Readiness in terms of the quality of human resources also affects the formation of BUMDES. Consequently, the objective of this study is …

Comparison Of Web 2.0 Use On State University Websites In Indonesia And Top World Universities Related To Webometric Ranking, Handaru Jati

Elinvo (Electronics, Informatics, and Vocational Education)

The present work determines the presence in the web 2.0 that twenty universities had through their educational portals. The universities are selected according to the Webometrics ranking (the ten best located in Indonesia and the best located worldwide) to identify what Web 2.0 tools they use. This study explores the educational portals of the twenty selected universities to determine which Web 2.0 tools they use and variables of the tools found will be assessed. The study only considers those Web 2.0 tools which are linked to the websites of universities. Of the two most used tools, the relevant indicators are …

Big Data Technology Enabling Legal Supervision, Qingjie Liu, Shuo Liu, Yirong Wu, Yueqiang Weng, Yihao Wen, Ming Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

Legal supervision plays an important role in the national governance system and capacity. In the era of digital revolution, the rapid development of digital procuratorial work with big data legal supervision as the core promotes to reshape the legal supervision and governance system. In this study, the inherent need of legal supervision for active prosecution in the new era, and the innovative role of new public interest litigation in comprehensive social governance, are firstly analyzed. Then, the core meaning and reshaping role of big-data-enabling-legalsupervision and supervision-promoting-national-governance of digital prosecution are discussed. After summarizing the practical experiences and challenges of big …

Creating Data From Unstructured Text With Context Rule Assisted Machine Learning (Craml), Stephen Meisenbacher, Peter Norlander

School of Business: Faculty Publications and Other Works

Popular approaches to building data from unstructured text come with limitations, such as scalability, interpretability, replicability, and real-world applicability. These can be overcome with Context Rule Assisted Machine Learning (CRAML), a method and no-code suite of software tools that builds structured, labeled datasets which are accurate and reproducible. CRAML enables domain experts to access uncommon constructs within a document corpus in a low-resource, transparent, and flexible manner. CRAML produces document-level datasets for quantitative research and makes qualitative classification schemes scalable over large volumes of text. We demonstrate that the method is useful for bibliographic analysis, transparent analysis of proprietary data, …

Hybrid Life Cycles In Software Development, Eric Vincent Schoenborn

Masters Projects

This project applied software specification gathering, architecture, work planning, and development to a real-world development effort for a local business. This project began with a feasibility meeting with the owner of Zeal Aerial Fitness. After feasibility was assessed the intended users, needed functionality, and expected user restrictions were identified with the stakeholders. A hybrid software lifecycle was selected to allow a focus on base functionality up front followed by an iterative development of expectations of the stakeholders. I was able to create various specification diagrams that express the end projects goals to both developers and non-tech individuals using a standard …

Travel Dashboard, Naveen Kumar Lalam

Masters Projects

Travel Dashboard is a one stop solution for all the travel needs of travelers and tourists visiting a new place. In today’s world travel has become a part of everyone’s life and we love to travel whenever there is a holiday or long a weekend. Earlier, the travel industry was mostly dictated by tour operators who used to plan and organize tours with standard itinerary, while tourists had very limited choices and needed to pick one of the itineraries given by operator as there was no other option left for them. Time have changed now as travelers love to plan …

Muse: A Genetic Algorithm For Musical Chord Progression Generation, Griffin Going

Masters Projects

Foundational to our understanding and enjoyment of music is the intersection of harmony and movement. This intersection manifests as chord progressions which themselves underscore the rhythm and melody of a piece. In musical compositions, these progressions often follow a set of rules and patterns which are themselves frequently broken for the sake of novelty. In this work, we developed a genetic algorithm which learns these rules and patterns (and how to break them) from a dataset of 890 songs from various periods of the Billboard Top 100 rankings. The algorithm learned to generate increasingly valid, yet interesting chord progressions via …

Building A Deep Model For Multi-Class Coral Species Discrimination, Hyeong Gyu Jang

Masters Projects

The goal of this qualitative research project is to develop and optimize a multi-class discrimination model to identify different species of coral based on their digital images. Currently, there are artificial intelligence (AI) models that can distinguish between coral and other undersea objects such as sand or rocks, but to our knowledge the problem of multi-species classification has not yet been addressed. Given that coral reefs are a good indicator of overall ocean health, it is important to develop models that can classify the presence of different species in underwater images as a way to monitor the effects of climate …