Databases and Information Systems Commons^™

Strategies To Manage Enterprise Information Technology Projects, Mario West

Walden Dissertations and Doctoral Studies

Since 2005, most midsize company information technology (IT) projects had a 62.4% failure rate because of wrong project team communication skills or cost overruns. IT leaders expect negative IT project outcomes will cost over $2 billion by 2020. Using the actor-network theory, the purpose of this single case study was to explore strategies used by IT leaders from a midsize IT company in Washington, D.C. to plan and execute projects under budget and on time. Using purposeful sampling, 5 IT leaders were selected for this study because of their experience in implementing successful strategies for projects. Data were collected using …

Analysis Of Affective State As Covariate In Human Gait Identification, Kofi Agyemang Adumata

Walden Dissertations and Doctoral Studies

There is an increased interest in the need for a noninvasive and nonintrusive biometric identification and recognition system such as Automatic Gait Identification (AGI) due to the rise in crime rates in the US, physical assaults, and global terrorism in public places. AGI, a biometric system based on human gait, can recognize people from a distance and current literature shows that AGI has a 95.75% success rate in a closely controlled laboratory environment. Also, this success rate does not take into consideration the effect of covariate factors such as affective state (mood state); and literature shows that there is a …

Strategies For Integrating Technological Innovations In Small Businesses, Petra Samuel

Walden Dissertations and Doctoral Studies

The effective integration of technological innovation is vital to the success of small businesses and can catapult growth and profitability. Some business managers and supervisors, however, may not have a firm understanding of strategies for integrating technological innovations in businesses; this lack of knowledge may result in employee frustration and costly roadblocks to achieving business objectives. This case study was conducted to identify the strategies used by business managers and supervisors to integrate technological innovations in small businesses. Christensen's theory of disruptive innovation and Rogers' theory of diffusion of innovation served as the conceptual framework. Ten business managers and supervisors …

Improving Bespoke Software Quality: Strategies For Application And Enterprise Architects, Daniel Scott Wagner

Walden Dissertations and Doctoral Studies

Despite over 50 years of software engineering as a formal practice, contemporary developers of bespoke software follow development practices that result in low-quality products with high development and maintenance costs. This qualitative case study sought to identify strategies used by software and enterprise architects for applying architectural best practices to improve bespoke software quality and lower the total cost of ownership. The study population was application and enterprise architects associated with delivering bespoke software for the enterprise architecture team at a large enterprise in the Nashville, Tennessee metropolitan area. Interview data were collected from 7 enterprise or solution architects; in …

The Trilogy Of Science: Filling The Knowledge Management Gap With Knowledge Science And Theory, Anthony Shawn Bates

Walden Dissertations and Doctoral Studies

The international knowledge management field has different ways of investigating, developing, believing, and studying knowledge management. Knowledge management (KM) is distinguished deductively by know-how, and its intangible nature establishes different approaches to KM concepts, practices, and developments. Exploratory research and theoretical principles have formed functional intelligences from 1896 to 2013, leading to a knowledge management knowledge science (KMKS) concept that derived a grounded theory of knowledge activity (KAT). This study addressed the impact of knowledge production problems on KM practice. The purpose of this qualitative meta-analysis study was to fit KM practice within the framework of knowledge science (KS) study. …

A Complex Systems Simulation Study For Increasing Adaptive-Capacity, Kadambari Ram

Walden Dissertations and Doctoral Studies

Examination of empirical research confirmed that climate change is a complex problem of anthropological origin and revealed the need for a management framework to facilitate strategic decisions aimed at mitigating a rise in global temperatures of 2-°C linked to irresponsible and unsustainable business practices. The purpose of this simulation study was to develop a management framework of resilience, robustness, sustainability, and adaptive-capacity (RRSA) for organizations viewed as complex systems to address the current unsustainable state. As such, the evolutionary-RRSA prisoner's dilemma (PD) simulation was developed using an evolutionary game theory approach to agent based modeling and simulation, to generate data. …

Threat Intelligence In Support Of Cyber Situation Awareness, Billy Paul Gilliam

Walden Dissertations and Doctoral Studies

Despite technological advances in the information security field, attacks by unauthorized individuals and groups continue to penetrate defenses. Due to the rapidly changing environment of the Internet, the appearance of newly developed malicious software or attack techniques accelerates while security professionals continue in a reactive posture with limited time for identifying new threats. The problem addressed in this study was the perceived value of threat intelligence as a proactive process for information security. The purpose of this study was to explore how situation awareness is enhanced by receiving advanced intelligence reports resulting in better decision-making for proper response to security …

A Semantics-Based Measure Of Emoji Similarity, Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran

Kno.e.sis Publications

Emoji have grown to become one of the most important forms of communication on the web. With its widespread use, measuring the similarity of emoji has become an important problem for contemporary text processing since it lies at the heart of sentiment analysis, search, and interface design tasks. This paper presents a comprehensive analysis of the semantic similarity of emoji through embedding models that are learned over machine-readable emoji meanings in the EmojiNet knowledge base. Using emoji descriptions, emoji sense labels and emoji sense definitions, and with different training corpora obtained from Twitter and Google News, we develop and test …

Identifying Depressive Disorder In The Twitter Population, Goonmeet Bajaj, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth

Kno.e.sis Publications

Depression is a highly prevalent public health challenge and a major cause of disability across the globe.

• Annually 6.7% of Americans (that is, more than 16 million).
• Traditional approaches to curb depression involve survey·based methods via phone or online questionnaires.
• Large temporal gaps and cognitive bias.

Social media provides a method for learning users' feelings, emotions, behaviors, and decisions in real-time.

Knowledge Activation For Patient Centered Care: Bridging The Health Information Technology Divide, Sajda Qureshi, Cherie Notebloom

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

The provision of healthcare is a collaborative process. It follows evidence based treatments which are becoming increasingly data driven and focusing on the best clinical outcomes. Patient centered care requires participation of patients in the decision making of the best treatment options. Healthcare provision requires both evidence based and patient centered care. In practice, these two perspectives conflict with each other due to the use of an information technology designed primarily for billing purposes. Using the knowledge activation framework developed by Qureshi and Keen [25], we analyze data from two hospitals in the Midwest that aim to achieve quality of …

Understanding The Role Of Information Technology In The Development Of Micro-Enterprises: Concepts To Study In Making A Better World, Sajda Qureshi, Jason Jie Xiong

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

The concept of Development has alluded scholars and practitioners when information technology becomes prevalent. The majority of research in the Information Technology for Development (ICT4D) field is considered to be practice intended to make the world better with Information and Communications technologies (ICTs). In addition, a majority of wellintentioned ICT4D projects tend to fail, often due to unrealistic expectation set by development agencies responding to their political objectives. At the same time, Information Systems (IS) research is ripe with well-studied concepts that do little to make a better world. This paper investigates ICT interventions in three case studies of micro-enterprises …

Using Embedded Mixed Methods In Studying Is Phenomena: Risks And Practical Remedies With An Illustration, Xiaodan Yu, Deepak Khazanchi

Information Systems and Quantitative Analysis Faculty Publications

Drawing on lessons learned from a mixed-methods research project, we illustrate how mixed research approaches are fruitful in studying the complexities and interactions inherent in IS phenomena, which is particularly relevant when one investigates relatively new and “messy” phenomena in that many opportunities for errors and omissions can arise. Mixed-methods research designs can also prove to be valuable in exploratory or new areas of research and provide empirical evidence from multiple sources and types of data that one can truly triangulate. In this paper, we discuss the risks associated with using a specific mixed-methods research strategy (i.e., embedded mixed-methods design) …

Forcing Optimality And Brandt's Principle, Domenico Napoletani, Marco Panza, Daniele C. Struppa

Mathematics, Physics, and Computer Science Faculty Books and Book Chapters

We argue that many optimization methods can be viewed as representatives of “forcing”, a methodological approach that attempts to bridge the gap between data and mathematics on the basis of an a priori trust in the power of a mathematical technique, even when detailed, credible models of a phenomenon are lacking or do not justify the use of this technique. In particular, we show that forcing is implied in particle swarms optimization methods, and in modeling image processing problems through optimization. From these considerations, we extrapolate a principle for general data analysis methods, what we call ‘Brandt’s principle’, namely the …

Towards An Understanding Of The Mental Model Process While Writing Sql Queries, Zahra Hatami

Student Work

SQL (Structured Query Language) is a standard language to communicate with a relational database system. SQL is a core competency for people in the data management field and is, therefore, a foundational skill taught to users in information systems. This research analyzes users’ mental models while they formulate SQL queries. The purpose of this thesis is to understand the strategies users use. These strategies both reflect and help develop the users’ mental models. This research attempts to discover users' mental models while learning SQL for the purpose of finding better ways to teach SQL skills. This research analyzes data from …

Special Issue: Neutrosophic Theories Applied In Engineering, Florentin Smarandache, Jun Ye

Branch Mathematics and Statistics Faculty and Staff Publications

Neutrosophic sets and logic are generalizations of fuzzy and intuitionistic fuzzy sets and logic. Neutrosophic sets and logic are gaining significant attention in solving many real life decision making problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistent, and indeterminacy. They have been applied in computational intelligence, multiple criteria decision making, image processing, medical diagnoses, etc. This Special Issue presents original research papers that report on state-of-the-art and recent advancements in neutrosophic sets and logic in soft computing, artificial intelligence, big and small data mining, decision making problems, and practical achievements.

Health And Safety Monitoring System, Cailin Simpson

Summer Community of Scholars Posters (RCEU and HCR Combined Programs)

No abstract provided.

Infodemiology For Syndromic Surveillance Of Dengue And Typhoid Fever In The Philippines, Ma. Regina Justina E. Estuar, Kennedy E. Espina

Department of Information Systems & Computer Science Faculty Publications

Finding determinants of disease outbreaks before its occurrence is necessary in reducing its impact in populations. The supposed advantage of obtaining information brought by automated systems fall short because of the inability to access real-time data as well as interoperate fragmented systems, leading to longer transfer and processing of data. As such, this study presents the use of realtime latent data from social media, particularly from Twitter, to complement existing disease surveillance efforts. By being able to classify infodemiological (health-related) tweets, this study is able to produce a range of possible disease incidences of Dengue and Typhoid Fever within the …

A Multi-Model Approach In Developing An Intelligent Assistant For Diagnosis Recommendation In Clinical Health Systems, Christian E. Pulmano, Ma. Regina Justina E. Estuar

Department of Information Systems & Computer Science Faculty Publications

Clinical health information systems capture massive amounts of unstructured data from various health and medical facilities. This study utilizes unstructured patient clinical text data to develop an intelligent assistant that can identify possible related diagnoses based on a given text input. The approach applies a one-vs-rest binary classification technique wherein given an input text data, it is identified whether it can be positively or negatively classified for a given diagnosis. Multi-layer Feed-Forward Neural Network models were developed for each individual diagnosis case. The task of the intelligent assistant is to iterate over all the different models and return those that …

Discovering Conversation Spaces In The Public Discourse Of Gender Violence: A Comparative Between Two Different Contexts, Meliza M. De La Paz, Ma. Regina Justina E. Estuar, John Noel C. Victorino

Department of Information Systems & Computer Science Faculty Publications

A huge factor in gender-based violence is perception and stigma, revealed by public discourse. Topic modelling is useful for discourse analysis and reveals prevalent topics and actors. This study aims to find and compare examples of collectivist and individualist conversation spaces of gendered violence by applying Principal Component Analysis, NGram analysis and word association in two gender violence cases which occured in the different contexts of the Philippines and the United States. The data from the Philippines consist of 2010-2011 articles on the 1991 Vizconde Massacre and the data from the United States consist of 2016-2017 articles from the 2015 …

Exploratory Analysis Of Discourses Between Students Engaged In A Debugging Task, Ma. Mercedes T. Rodrigo

Department of Information Systems & Computer Science Faculty Publications

This paper determined if and how high-performing and low-performing students differed in the language that they used as they collaborated on a debugging task. 180 students worked in pairs to debug 12 small programs with known errors. Students were segregated into high and low achievement levels based on the number of bugs they found. Chat transcripts from the pairs were analyzed using the Linguistic Inquiry and Word Count (LIWC) software. We found that high- and low-performing students only varied in terms of their use of words that implied discrepancy and sadness.