Databases and Information Systems Commons^™

Mind The Gap: Understanding Stakeholder Reactions To Different Types Of Data Security, Audra Diers-Lawson, Amelia Symons

International Crisis and Risk Communication Conference

Data security breaches are an increasingly common problem for organizations, yet there are critical gaps in our understanding of how different stakeholders understand and evaluate organizations that have experienced these kinds of security breaches. While organizations have developed relatively standard approaches to responding to security breaches that: (1) acknowledge the situation; (2) highlight how much they value their stakeholders’ privacy and private information; and (3) focus on correcting and preventing the problem in the future, the effectiveness of this response strategy and factors influencing it have not been adequately explored. This experiment focuses on a 2 (type of organization) x …

Information Technology Infrastructure Library: Postimplementation Experiences Of Small Business It Support Employees., Imoovberame Darren Obazu

Walden Dissertations and Doctoral Studies

Information technology (IT) employees of small business organizations have been the driving force for the implementation of innovative standardized IT service management and process improvement initiatives. Competitiveness amongst small business IT organizations in the market for quality IT service delivery led small business IT leaders toward the implementation of an information technology infrastructure library (ITIL) as an IT service management framework. The problem addressed in this research encompassed the needs of small business IT leaders and ITIL designers to understand the perceptions of IT operation employees following ITIL implementation. The purpose of this qualitative multiple case study was to explore …

Information Security Ambassadors’ Perceptions Of Peer-Led Motivation In Phishing Detection, Kingkane Malmquist

Walden Dissertations and Doctoral Studies

Phishing rates are increasing yearly and continue to compromise data integrity. The need to guard business information is vital for organizations to meet their business objectives and legal obligations. The purpose of this phenomenological study was to explore security ambassadors’ perceptions of motivating their peers to adopt safe internet behaviors in a large medical campus in Minnesota. Hackman and Oldham’s job characteristic motivation theory was used to frame the study. Data were collected from semistructured interviews with 20 security ambassadors. Data coding and analysis yielded 7 themes: rewarding, value, personal interest, limited information security knowledge, increased interest, communication, and topics …

Relationship Between Specific Security Concerns And Cio Intention To Adopt Cloud, Johnathan Francis Van Houten

Walden Dissertations and Doctoral Studies

Cloud computing adoption rates have not grown commensurate with several well-known and substantially tangible benefits such as horizontal distribution and reduced cost, the latter both in terms of infrastructure and specialized personnel. The lack of adoption presents a challenge to both service providers from a sales perspective and service consumers from a usability focus. The purpose of this quantitative correlational study utilizing the technological, organizational, and environmental framework was to examine the relationship between shared technology (ST), malicious insiders (MI), account hijacking, data leakage, data protection, service partner trust (SP), regulatory concerns and the key decision-makers intention to adopt cloud …

Innovation And Market Leadership In A Technology Industry, Wilson Zehr

Walden Dissertations and Doctoral Studies

According to the Abernathy-Utterback (A-U) model, firms focus on technological product innovation early in the product lifecycle and then shift to process innovation as markets mature. However, there is no consensus on the forms that non-technological innovation can take. In addition, the A-U model, which guides innovators, does not include forms of non-technological innovation that are generally accepted by experts. In this study, a hybrid e-Delphi technique with an AHP decision model was used to evaluate the forms of innovation used to establish market leadership over the historical lifecycle of the personal computer industry in the United States. In Phase …

Exploring Cybersecurity Awareness And Training Strategies To Protect Information Systems And Data, Michael Hanna

Walden Dissertations and Doctoral Studies

Ineffective security education, training, and awareness (SETA) programs contribute to compromises of organizational information systems and data. Inappropriate actions from users due to ineffective SETA programs may result in legal consequences, fines, reputational damage, adverse impacts on national security, and criminal acts. Grounded in social cognitive theory, the purpose of this qualitative multiple case study was to explore strategies hospitality organizational information technology (IT) leaders utilized to implement SETA successfully. The participants were organizational IT leaders from four organizations in Hampton Roads, Virginia. Data collection was performed using telephone and video teleconference interviews with organizational IT leaders (n = 6) …

The Impact Of Technological Advances On Older Workers, Toni Mcintosh

Walden Dissertations and Doctoral Studies

The general problem addressed in this study was the treatment of older workers in the information technology industry that contributes to age discrimination in the workplace. Age discrimination is against the law irrespective of whether it is aimed at older workers in the workforce or becoming job candidates at an advanced age. Although previous research has shown that age discrimination is prevalent in work environments, little has been suggested to eradicate the issue in the workplace. The purpose of this qualitative case study was to investigate the issue of age discrimination as it relates to workers over the age of …

Ethics Of Collection And Use Of Consumer Information On The Internet, Thanh M. Pham

Walden Dissertations and Doctoral Studies

Consumer online activities can generate massive volumes of data that private companies may collect and use for business purposes. Consumer personal data need to be protected from unauthorized access and misuse. The specific problem is that consumers have little control regarding their data being collected and used by private companies. The purpose of this qualitative archival research was to explore business practices involving collection and use of consumer data without an individual’s consent. This study used the big data ethical conceptual framework to focus on various privacy issues, including those related to ownership, transparency, ethics, and consumer privacy laws. Archival …

The Trust Principles For Digital Repositories, Dawei Lin, Jonathan Crabtree, Ingrid Dillo, Robert R. Downs, Rorie Edmunds, David Giaretta, Marisa De Giusti, Hervé L'Hours, Wim Hugo, Reyna Jenkyns, Varsha Khodiyar, Maryann E. Martone, Mustapha Mokrane, Vivek Navale, Jonathan Petters, Barbara Sierman, Dina V. Sokolova, Martina Stockhause, John Westbrook

Copyright, Fair Use, Scholarly Communication, etc.

As information and communication technology has become pervasive in our society, we are increasingly dependent on both digital data and repositories that provide access to and enable the use of such resources. Repositories must earn the trust of the communities they intend to serve and demonstrate that they are reliable and capable of appropriately managing the data they hold.

Following a year-long public discussion and building on existing community consensus , several stakeholders, representing various segments of the digital repository community, have collaboratively developed and endorsed a set of guiding principles to demonstrate digital repository trustworthiness. Transparency, Responsibility, User focus, …

Exploring Strategies For Recruiting And Retaining Diverse Cybersecurity Professionals, Vivian Lyon

Walden Dissertations and Doctoral Studies

The cyber threat landscape has led some cybersecurity leaders to focus on a holistic approach encompassing people, processes, and technology to make their government agencies and organizations more responsive to a more diverse and inclusive cyber workforce to protect critical infrastructure from hackers or cybercriminals intent on causing harm. This qualitative multiple case study used Schein’s organizational culture theory to explore strategies used by cybersecurity leaders to attract, recruit, and retain diverse cybersecurity professionals to effectively and efficiently protect sensitive systems from rising cyber threats. The study's population consisted of cybersecurity leaders from 3 government agencies and 9 organizations in …

Tailored Information Security Strategies For Financial Services Companies In Nigeria, Kayode Alawonde

Walden Dissertations and Doctoral Studies

Some financial institutions in Nigeria have not deployed strategies that mitigate cyber exploitation risks in the financial services industry. Financial institution leaders are concerned because cyber exploitation contributed to the reduction in the adult banking population to a low 38%. Grounded in the integrated systems theory of information security management, the purpose of this multiple case study was to explore strategies some financial institution leaders in Nigeria use to prevent cyber exploitations. The participants included 6 chief information security officers of 6 financial institutions. Data were collected from semistructured interviews and company and public documents. A thematic analysis identified themes …

Exploring Mid-Market Strategies For Big Data Governance, Kenneth Stanley Knapton Iii

Walden Dissertations and Doctoral Studies

Many data scientists are struggling to adopt effective data governance practices as they transition from traditional data analysis to big data analytics. Data governance of big data requires new strategies to deal with the volume, variety, and velocity attributes of big data. The purpose of this qualitative multiple case study was to explore big data governance strategies employed by data scientists to provide a holistic perspective of those data for making decisions. The participants were 10 data scientists employed in multiple mid-market companies in the greater Salt Lake City, Utah area who have strategies to govern big data. This study’s …

Strategies Used To Mitigate Social Engineering Attacks, Lindiwe T. Hove

Walden Dissertations and Doctoral Studies

Cybercriminal activity performed widely through social engineering attacks is estimated to be one of the substantial challenges the world will face over the next 20 years. Cybercriminal activity is important to chief information security officers (CISOs) because these attacks represent the largest transfer of economic wealth in history and pose risks to the incentives for organizational innovation and investment and eventually become more profitable than the global trade of all major illegal drugs combined. Grounded in the balanced control theory, the purpose of this multiple case study was to explore strategies CISOs use to mitigate social engineering attacks within their …

Opening Books And The National Corpus Of Graduate Research, William A. Ingram, Edward A. Fox, Jian Wu

Computer Science Faculty Publications

Virginia Tech University Libraries, in collaboration with Virginia Tech Department of Computer Science and Old Dominion University Department of Computer Science, request $505,214 in grant funding for a 3-year project, the goal of which is to bring computational access to book-length documents, demonstrating that with Electronic Theses and Dissertations (ETDs). The project is motivated by the following library and community needs. (1) Despite huge volumes of book-length documents in digital libraries, there is a lack of models offering effective and efficient computational access to these long documents. (2) Nationwide open access services for ETDs generally function at the metadata level. …

A Transformative Concept: From Data Being Passive Objects To Data Being Active Subjects, Hans-Peter Plag, Shelley-Ann Jules-Plag

OES Faculty Publications

The exploitation of potential societal benefits of Earth observations is hampered by users having to engage in often tedious processes to discover data and extract information and knowledge. A concept is introduced for a transition from the current perception of data as passive objects (DPO) to a new perception of data as active subjects (DAS). This transition would greatly increase data usage and exploitation, and support the extraction of knowledge from data products. Enabling the data subjects to actively reach out to potential users would revolutionize data dissemination and sharing and facilitate collaboration in user communities. The three core elements …

Sentiment Analysis, Quantification, And Shift Detection, Kevin Labille

Graduate Theses and Dissertations

This dissertation focuses on event detection within streams of Tweets based on sentiment quantification. Sentiment quantification extends sentiment analysis, the analysis of the sentiment of individual documents, to analyze the sentiment of an aggregated collection of documents. Although the former has been widely researched, the latter has drawn less attention but offers greater potential to enhance current business intelligence systems. Indeed, knowing the proportion of positive and negative Tweets is much more valuable than knowing which individual Tweets are positive or negative. We also extend our sentiment quantification research to analyze the evolution of sentiment over time to automatically detect …

Objective Sleep Quality As A Predictor Of Mild Cognitive Impairment In Seniors Living Alone, Brian Chen, Hwee-Pink Tan, Irus Rawtaer, Hwee Xian Tan

Research Collection School Of Computing and Information Systems

Singapore has the fastest ageing population in the Asia Pacific region, with an estimated 82,000 seniors living with dementia. These figures are projected to increase to more than 130,000 by 2030. The challenge is to identify more community dwelling seniors with Mild Cognitive Impairment (MCI), a prodromal state, as it provides an opportunity for evidence-based early intervention to delay the onset of dementia. In this paper, we explore the use of Internet of Things (IoT) systems in detecting MCI symptoms in seniors who are living alone, and accurately grouping them into MCI positive and negative subjects. We present feature extraction …

Study Group Travel Behaviour Patterns From Large-Scale Smart Card Data, Xiancai Tian, Baihua Zheng

Research Collection School Of Computing and Information Systems

In this paper, we aim at studying the group travel behaviour (GTB) patterns from large-scale auto fare collection (AFC) data. GTB is defined as two or more commuters intentionally and regularly traveling together from an origin to a destination. We propose a method to identify GTB accurately and efficiently and apply our method to the Singapore AFC dataset to reveal the GTB patterns of Singapore commuters. The case study proves that our method is able to identify GTB patterns more accurately and efficiently than the state-of-the-art.

Happy Toilet: A Social Analytics Approach To The Study Of Public Toilet Cleanliness, Eugene W. J. Choy, Winston M. K. Ho, Xiaohang Li, Ragini Verma, Li Jin Sim, Kyong Jin Shim

Research Collection School Of Computing and Information Systems

This study presents a social analytics approach to the study of public toilet cleanliness in Singapore. From popular social media platforms, our system automatically gathers and analyzes relevant public posts that mention about toilet cleanliness in highly frequented locations across the Singapore island - from busy shopping malls to food 'hawker' centers.

@Houstonpolice: An Exploratory Case Of Twitter During Hurricane Harvey, Seungwon Yang, Brenton Stewart

Faculty Publications

Abstract

Purpose

The purpose of this paper is to examine the Houston Police Department (HPD)’s public engagement efforts using Twitter during Hurricane Harvey, which was a large-scale urban crisis event.

Design/methodology/approach

This study harvested a corpus of over 13,000 tweets using Twitter’s streaming API, across three phases of the Hurricane Harvey event: preparedness, response and recovery. Both text and social network analysis (SNA) techniques were employed including word clouds, n-gram analysis and eigenvector centrality to analyze data.

Findings

Findings indicate that departmental tweets coalesced around topics of protocol, reassurance and community resilience. Twitter accounts of governmental agencies, such as …

Data Curation Workshop: Tips And Tools For Today, Matthew M. Benzing

Charleston Library Conference

The current state of research data is like a disorganized photo collection: a mix of formats scattered across different media without a lot of authority control. That is changing as the need to make data available to researchers across the world is becoming recognized. Researchers know that their data needs to be maintained and made accessible, but often they do not have the time or the inclination to get involved in all of the details. This provides an excellent opportunity for librarians. Data curation is the process of preparing data to be made available in a repository with the goal …

Who, Where, And What To Wear?: Extracting Fashion Knowledge From Social Media, Yunshan Ma, Xun Yang, Lizi Liao, Yixin Cao, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Fashion knowledge helps people to dress properly and addresses not only physiological needs of users, but also the demands of social activities and conventions. It usually involves three mutually related aspects of: occasion, person and clothing. However, there are few works focusing on extracting such knowledge, which will greatly benefit many downstream applications, such as fashion recommendation. In this paper, we propose a novel method to automatically harvest fashion knowledge from social media. We unify three tasks of occasion, person and clothing discovery from multiple modalities of images, texts and metadata. For person detection and analysis, we use the off-the-shelf …

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 …

Cooperation In Maritime Search And Rescue Between Democratic People’S Republic Of Korea, The People’S Republic Of China And The Russian Federation, Kwangmyong Ri

Maritime Safety & Environment Management Dissertations (Dalian)

No abstract provided.

Evaluating Vulnerability To Fake News In Social Networks: A Community Health Assessment Model, Bhavtosh Rath, Wei Gao, Jaideep Srivastava

Research Collection School Of Computing and Information Systems

Understanding the spread of false information in social networks has gained a lot of recent attention. In this paper, we explore the role community structures play in determining how people get exposed to fake news. Inspired by approaches in epidemiology, we propose a novel Community Health Assessment model, whose goal is to understand the vulnerability of communities to fake news spread. We define the concepts of neighbor, boundary and core nodes of a community and propose appropriate metrics to quantify the vulnerability of nodes (individual-level) and communities (group-level) to spreading fake news. We evaluate our model on communities identified using …

Industry 4.0: Challenges And Opportunities In Different Countries, Keng Siau, Yingrui Xi, Cui Zou

Research Collection School Of Computing and Information Systems

Along with the rapid development of artificial intelligence (AI), cyber-physical systems (CPSs), big data analytics, and cloud computing, Industry 4.0 — a subset of the fourth Industrial Revolution — has started to emerge and take root in many countries. Many expect that Industry 4.0 will be transformative and revolutionary for multiple industries and countries. Its impact will be much more significant than those of Industry 1.0, 2.0, and 3.0. Most studies and papers on Industry 4.0 have examined its impact on various industries, jobs, and organizations. In this article, we investigate the impact of Industry 4.0 on countries and groups …

Designing The Arriving Refugee Informatics Surveillance And Epidemiology (Arive) System: A Web-Based Electronic Database For Epidemiological Surveillance, William A. Mattingly, Ruth M. Carrico, Timothy L. Wiemken, Robert R. Kelley, Rebecca A. Ford, Rahel Bosson, Kimberley A. Buckner, Julio A. Ramirez

Journal of Refugee & Global Health

Objectives: We design and implement the Arriving Refugee Informatics surVeillance and Epidemiology (ARIVE) system to improve the health of refugees undergoing resettlement and enhance existing health surveillance networks.

Materials and Methods: Using the REDCap electronic data capture software as a basis we create a refugee health database incorporating data from the Center for Disease Control and Prevention’s Electronic Disease Notification (EDN) system and domestic screening data from refugee health care providers.

Results: Domestic screening and EDN refugee health data have been integrated for 13,824 refugees resettled from 35 different countries into the state of Kentucky from the years 2013-2016.

Discussion: …

Iamhappy: Towards An Iot Knowledge-Based Cross-Domain Well-Being Recommendation System For Everyday Happiness, Amelia Gyrard, Amit Sheth

Kno.e.sis Publications

Nowadays, healthy lifestyle, fitness, and diet habits have become central applications in our daily life. Positive psychology such as well-being and happiness is the ultimate dream of everyday people’s feelings (even without being aware of it). Wearable devices are being increasingly employed to support well-being and fitness. Those devices produce physiological signals that are analyzed by machines to understand emotions and physical state. The Internetof Things (IoT) technology connects (wearable) devices to the Internet to easily access and process data, even using Web technologies (aka Web of Things).

We design IAMHAPPY, an innovative IoT-based well-being recommendation system to encourage every …

Searching Activity Trajectories With Semantics, Li-Hua Yin, Huiwen Liu

PhD Student’s Publications Collection

With the widespread use of smart phones and mobile Internet, social network users have generated massive geo-tagged tweets, photos and videos to form lots of informative trajectories which reveal not only their spatio-temporal dynamics, but also their activities in the physical world. Existing spatial trajectory query studies mainly focus on analyzing the spatio-temporal properties of the users’ trajectories, while leaving the understanding of their activities largely untouched. In this paper, we incorporate the semantics of the activity information embedded in trajectories into query modelling and processing, with the aim of providing end users more informative and meaningful results. To this …

Model And Analysis Of Labor Supply For Ride-Sharing Platforms In The Presence Of Sample Self-Selection And Endogeneity, Hao Sun, Hai Wang, Zhixi Wan

Research Collection School Of Computing and Information Systems

With the popularization of ride-sharing services, drivers working as freelancers on ride-sharing platforms can design their schedules flexibly. They make daily decisions regard- ing whether to participate in work, and if so, how many hours to work. Factors such as hourly income rate affect both the participation decision and working-hour decision, and evaluation of the impacts of hourly income rate on labor supply becomes important. In this paper, we propose an econometric framework with closed-form measures to estimate both the participation elasticity (i.e., extensive margin elasticity) and working-hour elasticity (i.e., intensive margin elasticity) of labor supply. We model the sample …