Introduction To Data Science,
2013
Syracuse University
Introduction To Data Science, Jeffrey M. Stanton
School of Information Studies - Faculty Scholarship
In this Introduction to Data Science eBook, a series of data problems of increasing complexity is used to illustrate the skills and capabilities needed by data scientists. The open source data analysis program known as "R" and its graphical user interface companion "R-Studio" are used to work with real data examples to illustrate both the challenges of data science and some of the techniques used to address those challenges. To the greatest extent possible, real datasets reflecting important contemporary issues are used as the basis of the discussions.
05. Information Operations Management,
2013
Southwestern Oklahoma State University
05. Information Operations Management, University Of Central Oklahoma
Oklahoma Research Day Abstracts
No abstract provided.
06. Management,
2013
Southwestern Oklahoma State University
06. Management, University Of Central Oklahoma
Oklahoma Research Day Abstracts
No abstract provided.
Developing Focused Auditing Tools: A Practical Framework For Creating Formalized Multi-Level Security Policy Specifications,
2013
California State University, San Bernardino
Developing Focused Auditing Tools: A Practical Framework For Creating Formalized Multi-Level Security Policy Specifications, Barbara Ann Brough
Theses Digitization Project
The purpose of this study is that formalized policy specifications and focused penetration testing are needed to effectively audit any information system. Designing and maintaining the security system information is the primary duty of the cyber security professional. In today's world, nearly all government agencies manage some form of financial, defense, national security, and/or privacy information security policies. It is also necessary in this environment that agencies are accountable for auditing the security systems that protect this information.
Deer Herd Management Using The Internet: A Comparative Study Of California Targeted By Data Mining The Internet,
2013
San Jose State University
Deer Herd Management Using The Internet: A Comparative Study Of California Targeted By Data Mining The Internet, G. Kent Webb
Faculty Publications, Information Systems & Technology
An ongoing project to investigate the use of the internet as an information source for decision support identified the decline of the California deer population as a significant issue. Using Google Alerts, an automated keyword search tool, text and numerical data were collected from a daily internet search and categorized by region and topic to allow for identification of information trends. This simple data mining approach determined that California is one of only four states that do not currently report total, finalized deer harvest (kill) data online and that it is the only state that has reduced the amount of …
The Implementation Of A Thin Client In The Department Of Defense Network System,
2013
California State University, San Bernardino
The Implementation Of A Thin Client In The Department Of Defense Network System, Sung Ju In
Theses Digitization Project
The purpose of this project is to introduce and analyze a thin client solution that could enhance the overall Department of Defense (DoD) network system as well as its IT security posture, minimize risk from external threats, and ease of network operations.
Essays On The Digital Divide - Explorations Through Global, National And Individual Lenses,
2013
Bentley University
Essays On The Digital Divide - Explorations Through Global, National And Individual Lenses, Maria Skaletsky
2013
The Digital Divide has emerged as an important research and policy issue during the past thirty years. The divide exists at different levels, such as global, regional and individual levels. While extensive research already exists on this subject, the complexity of the issue presents opportunities for further research. In particular, there is ample scope for significantly contributing to the literature by leveraging recent analytics techniques, all the more since most of the literature on the Digital Divide relies on descriptive methods or on simple or multiple regression models. Therefore, the motivation for this study is two-fold. First, the Digital Divide …
A State-Sponsored Approach To Quality Improvement In Nursing Homes: Insights From Providers,
2013
Butler University
A State-Sponsored Approach To Quality Improvement In Nursing Homes: Insights From Providers, Kathleen Abrahamson, Priscilla Arling, Greg Arling
Scholarship and Professional Work - Business
In 2006, the Minnesota Performance-based Incentive Payment Program (PIPP) was launched to fund provider-initiated quality improvement (QI) projects addressing a wide range of persistent quality issues in nursing homes (eg, falls, pain, mobility, psychotropic medication reduction, care transitions). In this article, the authors describe the perceptions of nursing home providers who participated in a PIPP-funded QI project and completed a survey addressing a variety of QI-related concerns. Respondents noted the importance of support from top leadership, reported being challenged by resource constraints, and generally thought that their project positively impacted quality within their facility. These findings highlight the importance of …
Online Course Evaluations Response Rates,
2013
Loyola University Chicago
Online Course Evaluations Response Rates, Faruk Guder, Mary Malliaris
Information Systems and Operations Management: Faculty Publications & Other Works
This paper studies the reasons for low response rates in online evaluations. Survey data are collected from the students to understand factors that might affect student participation in the course evaluation process. When course evaluations were opened to the student body, an email announcement was sent to all students, and a reminder email was sent a week later. Our study showed that participation rates increased not only when emails were sent, but also when faculty used in-class time to emphasize the importance of completing the evaluations.
Managing Inventory In Global Supply Chains Facing Port-Of-Entry Disruption Risks,
2013
Georgia Institute of Technology - Main Campus
Managing Inventory In Global Supply Chains Facing Port-Of-Entry Disruption Risks, Alan Erera, Maciek Nowak, Chelsea White
Information Systems and Operations Management: Faculty Publications & Other Works
Ports-of-entry are critical components of the modern international supply chain infrastructure, particularly container seaports and airfreight hubs. The potential operational and economic impact resulting from their temporary closure is unknown, but is widely believed to be very significant. This paper investigates one aspect of this potential impact, focusing specifically on the use of supply chain inventory as a risk mitigation strategy for a one supplier, one customer system in which goods are transported through a port-of-entry subject to temporary closures. Closure likelihood and duration are modeled using a completely observed, exogenous Markov chain. Order lead times are dependent on the …
Exploring A Third-Party E-Waste Recycling System Under The Extended Producer Responsibility Framework In China,
2013
Wright State University - Main Campus
Exploring A Third-Party E-Waste Recycling System Under The Extended Producer Responsibility Framework In China, Hua Zhong, Shu Z. Schiller
Management Information Systems Faculty Publications
The rapid advance of information technologies has produced a large amount of waste of electronic and electrical equipment (WEEE). WEEE or e- waste, refers to old, end-of-life (EoL) or discarded electronic appliances. The world produces 20 to 50 million metric tons of e-waste annually (Electronics Take-back Coalition 2009), of which China alone contributes 2 million tons. Each year at least 6 million washing machines, 7 million TV sets, 10 million PCs and 70 million mobile phones are discarded and the number increases at the rate of more than 10 per cent each year (Hung 2007), according to the report from …
M-Commerce Development In Developing Country: Users’ Perspective,
2013
Butler University
M-Commerce Development In Developing Country: Users’ Perspective, Hongjiang Xu
Scholarship and Professional Work - Business
M-commerce (mobile commerce) is growing increasingly popular, and China has a huge potential to develop m-commerce technology. This study focuses on users' perspectives of m-commerce development in China. The development of m-commerce was measured by the extent of m-commerce businesses adopting business intelligence. A research framework was developed for users' perceptions on m-commerce development, survey questionnaires were used to collect data, and ANOVA was used for data analysis.
Knowledge Sharing And Knowledge Management System Avoidance: The Role Of Knowledge Type And The Social Network In Bypassing An Organizational Knowledge Management System,
2013
Butler University
Knowledge Sharing And Knowledge Management System Avoidance: The Role Of Knowledge Type And The Social Network In Bypassing An Organizational Knowledge Management System, Susan A. Brown, Alan R. Dennis, Diana Burley, Priscilla Arling
Scholarship and Professional Work - Business
Knowledge sharing is a difficult task for most organizations, and there are many reasons for this. In this article, we propose that the nature of the knowledge shared and an individual's social network influence employees to find more value in person-to-person knowledge sharing, which could lead them to bypass the codified knowledge provided by a knowledge management system (KMS). We surveyed employees of a workman's compensation board in Canada and used social network analysis and hierarchical linear modeling to analyze the data. The results show that knowledge complexity and knowledge teachability increased the likelihood of finding value in person-to-person knowledge …
Connecting Big Data With Big Decisions: Ideas For Synthesizing Analytics And Decision Analysis,
2013
University of Massachusetts Boston
Connecting Big Data With Big Decisions: Ideas For Synthesizing Analytics And Decision Analysis, Jeffrey Keisler
Management Science and Information Systems Faculty Publication Series
This paper describes an approach to connect decision analysis models with outputs of analytic methods applied to various types of big data. Decision analysis models focus on issues of concern to a decision maker and incorporate use of a range of methods and axioms to develop insights about what the decision maker should do. In particular, decision analysis models typically use subjective judgments from the decision maker to describe beliefs about the likelihood of events and the desirability of outcomes. In order for human judgments to be improved by the availability of large amounts of data and processing power, it …
Evaluating Journal Quality And The Association For Information Systems (Ais) Senior Scholars’ Journal Basket Via Bibliometric Measures: Do Expert Journal Assessments Add Value?,
2013
City University of Hong Kong
Evaluating Journal Quality And The Association For Information Systems (Ais) Senior Scholars’ Journal Basket Via Bibliometric Measures: Do Expert Journal Assessments Add Value?, Paul Benjamin Lowry, Gregory D. Moody, James Gaskin, Dennis F. Galletta, Sean L. Humpherys, Jordan B. Barlow, David W. Wilson
Faculty Publications
Information systems (IS) journal rankings and ratings help scholars focus their publishing efforts and are widely used surrogates for judging the quality of research. Over the years, numerous approaches have been used to rank IS journals, approaches such as citation metrics, school lists, acceptance rates, and expert assessments. However, the results of these approaches often conflict due to a host of validity concerns. In the current scientometric study, we make significant strides toward correcting for these limitations in the ranking of mainstream IS journals. We compare expert rankings to bibliometric measures such as the ISI Impact Factor™, the h-index, and …
Taking “Fun And Games” Seriously: Proposing The Hedonic-Motivation System Adoption Model (Hmsam),
2013
City University of Hong Kong
Taking “Fun And Games” Seriously: Proposing The Hedonic-Motivation System Adoption Model (Hmsam), Paul Benjamin Lowry, Bryan Hammer, James Eric Gaskin, Tom L. Roberts, Nathan W. Twyman
Faculty Publications
Hedonic-motivation systems (HMS)—systems used primarily to fulfill users’ intrinsic motivations—are the elephant in the room for IS research. Growth in HMS sales has outperformed utilitarian-motivation systems (UMS) sales for more than a decade, generating billions in revenue annually; yet IS research focuses mostly on UMS. In this study, we explain the role of intrinsic motivations in systems use and propose the hedonic-motivation system adoption model (HMSAM) to improve the understanding of HMS adoption. Instead of a minor, general TAM extension, HMSAM is an HMS-specific system acceptance model based on an alternative theoretical perspective, which is in turn grounded in flow-based …
What, I Shouldn’T Have Done That?: The Influence Of Training And Just-In-Time Reminders On Secure Behavior,
2013
Brigham Young University - Provo
What, I Shouldn’T Have Done That?: The Influence Of Training And Just-In-Time Reminders On Secure Behavior, Jeffrey L. Jenkins, Alexandra Durcikova
Faculty Publications
Organizations often implement Security Education, Training, and Awareness (SETA) programs to help improve secure behavior. SETA programs can be multifaceted; however, organizations often take a “one-size-fits-all” approach to improve security, without understanding how different SETA components influence behavior. In this research, we explain how two common SETA program components—online training and reminders—influence behavior through discrete theoretical mechanisms. First, we hypothesize that online training influences behavior through improving beliefs and intentions. However, because of dual-task interference, the relationship between beliefs and intentions may be hindered. We then explain how just-in-time reminders can help overcome dual-task interference and influence behavior directly. We …
Detecting Deceptive Chat-Based Communication Using Typing Behavior And Message Cues,
2013
University of Nebraska at Omaha
Detecting Deceptive Chat-Based Communication Using Typing Behavior And Message Cues, Douglas C. Derrick, Thomas O. Meservy, Jeffrey L. Jenkins, Judee K. Burgoon, Jay F. Nunamaker Jr.
Faculty Publications
Computer-mediated deception is prevalent and may have serious consequences for individuals, organizations, and society. This article investigates several metrics as predictors of deception in synchronous chatbased environments, where participants must often spontaneously formulate deceptive responses. Based on cognitive load theory, we hypothesize that deception influences response time, word count, lexical diversity, and the number of times a chat message is edited. Using a custom chatbot to conduct interviews in an experiment, we collected 1,572 deceitful and 1,590 truthful chat-based responses. The results of the experiment confirm that deception is positively correlated with response time and the number of edits and …
Information Disclosure On Mobile Devices: Re-Examining Privacy Calculus With Actual User Behavior,
2013
Brigham Young University - Provo
Information Disclosure On Mobile Devices: Re-Examining Privacy Calculus With Actual User Behavior, Mark J. Keith, Samuel C. Thompson, Joanne Hale, Paul Benjamin Lowry, Chapman Greer
Faculty Publications
The use of mobile applications continues to experience exponential growth. Using mobile apps typically requires the disclosure of location data, which often accompanies requests for various other forms of private information. Existing research on information privacy has implied that consumers are willing to accept privacy risks for relatively negligible benefits, and the offerings of mobile apps based on locationbased services (LBS) appear to be no different. However, until now, researchers have struggled to replicate realistic privacy risks within experimental methodologies designed to manipulate independent variables. Moreover, minimal research has successfully captured actual information disclosure over mobile devices based on realistic …
Modeling Social Transmission Dynamics Of Unhealthy
Behaviors For Evaluating Prevention And Treatment
Interventions On Childhood Obesity,
2013
University of Nebraska Medical Center
Modeling Social Transmission Dynamics Of Unhealthy Behaviors For Evaluating Prevention And Treatment Interventions On Childhood Obesity, Leah M. Frerichs, Ozgur M. Araz, Terry T.-K. Huang
Department of Supply Chain Management and Analytics: Faculty Publications
Research evidence indicates that obesity has spread through social networks, but lever points for interventions based on overlapping networks are not well studied. The objective of our research was to construct and parameterize a system dynamics model of the social transmission of behaviors through adult and youth influence in order to explore hypotheses and identify plausible lever points for future childhood obesity intervention research. Our objectives were: (1) to assess the sensitivity of childhood overweight and obesity prevalence to peer and adult social transmission rates, and (2) to test the effect of combinations of prevention and treatment interventions on the …
