How Does the Visualization of Data Change How it is Interpreted?

Big data is one of the most promising trends in technology and business today. Big data refers to large data sets that may be analyzed computationally to reveal patterns, trends and associations, especially relating to human behavior and interactions. Big data sets hold valuable information with the potential to improve efficiency in the workplace by giving us insight into various areas. How can we extract information from data? Visualizations and aggregations are frequently used to represent data in a manageable way. The construction of these tools requires usage of design principles to leverage human ability to translate data into knowledge that can be used to support decisions. Our project creates and executes a survey to discover whether participants vary in their ability to draw conclusions from data presented in aggregate formats. In this paper, we are focused on whether one visualization is more interpretable than the others. We do not go into the details of variation between people on any factor (e.g. education, personality, or other characteristics). Based on our results, we will suggest design principles for visualizations that improve the ability to comprehend data quickly

Adolescent Girls’ Influencers in Cybersecurity Education and Activities

Individuals are influenced several times a day by society, family, friends, and circumstances. Influencers strongly affect adolescent’s decision making related to activities, classes, and career choices. Middle school is a key time when girls tend to explore or turn away from the STEM field. Through a qualitative survey research, we have discovered influencers appear to play a role in motivating and encouraging girls to explore the cyber fields

Anchoring Female Millennial Students in an IT Career Path: The CLASS Anchor Model

Goals and desires are strong incentives for careers and life choices. When goals and desires are not met, change often occurs. Women are leaving the IT profession two times faster than men and often within the first twelve years of employment. Women are also underrepresented in the IT profession with only 25 percent of the current jobs being held by women. This study examines how organizations can retain females in IT professions through motivational anchors. While there are research studies that have investigated the gender gap, there is a need to investigate female millennial students’ relationship to IT through their motivational goals and desires, and how their perceptions fit with anchoring them to an IT career path. This study addresses the demographic influences on millennial female students as they prepare to enter the workforce. Following an analysis of qualitative data, collected in a Midwestern University using surveys, this study examines the perceptions of female students who are seeking an IT career path. The CLASS (Competencies, Life System, Accomplishment, Service, and Security) Anchor model informs how female students’ motivations affect the pursuit of an IT education and career

Designing Decision-Support Systems for Secondary School Counselors

In the current era of accountability, school counselors are expected to use data to drive program decision-making, implement evidence-based interventions to create systemic change, and utilize emerging technology. Research shows it is difficult for school counselors to meet any of these expectations. A decision-support system is a technology that takes minimal effort to learn and can assist in decision-making processes. In an attempt to solve the problems facing school counselors, this design science research focuses on building such a system using the design principles of Information Quality, Interface Quality, and Customization and measuring their influence on user satisfaction

Characteristics of Complete and Incomplete Physicians’ Unlearning with Electronic Medical Record

This study examines the concept of unlearning, the process of disuse or replacement of an action, procedure or belief in favor of a new one, in the context of healthcare. Little is known about the true nature of unlearning and related learning change processes within the context of healthcare. The study of unlearning continues to be important not only due to the nature of the discipline itself, but physicians are required to support knowledge change for improved care quality. The study argues the introduction of new Health Information Technologies (HITs), such as EMRs, affect the unlearning process in physician providers. We address the following research question: “What are the characteristics of the unlearning process by physicians who are using EMRs?” using a qualitative case study methodology. Interviews, the primary data collection method and coding is mainly used for data analysis. Results show physician unlearning is characterized as either complete unlearning or incomplete unlearning

Antecedents to Managerial Preference for Agile Software Development Methods – A Research Plan

Agile development methods are widely used and continue to grow in their adoption. A theoretical understanding of agile is needed. This research plan uses a Grounded Theory approach to develop antecedents to managerial preference for agile development methods. First, we provide the motivation for the research. Next, we provide a brief literature review to orient the research to the domain. Finally, we discuss the research methodology and research plan

How can Health Technology Project Communications be Improved in a Hospital

Healthcare professionals have had many challenges related to communication. Some of these challenges are related to health information technology, project management, and change management. This research addresses facilitators and barriers that healthcare providers have encountered in projects completed at the survey site. The integration of technology to support interdisciplinary teams transitioning to patient centered care requires enhanced focus on Project Communication as a key component of successful Health Information Technology (HIT) projects. Professional and organizational cultures in health care must transform to promote improved patient care

Overcoming Health Inequities in Native American Tribal Populations through mHealth

Disparities in health outcomes among people in rural tribal lands appear to be unique to their social and economic conditions. This paper investigates: what health disparities in rural tribal communities can be overcome through mHealth? Data is collected on the social inequities and access point networks from six small towns on an Indian Reservation in the Midwest. The results suggest disparities in living conditions, access to clinics and hospitals, and mobile health access affect the well-being of a population. An analysis is carried out with additional data on the effect of mobile and telephone access on health inequities at the national level to understand the significance of these disparities. The regression suggests that a high level of mobile services is correlated with better health conditions among American Indians. Fixed terrestrial services are positively related to the fair or poor health of American Indians. Contributions are offered on understanding how to overcome health disparities in rural tribal communities using mHealth

A Design Theory for Intelligent Clinical Decision Support

Poor or inadequate design of intelligent clinical decision support systems (ICDSS) can result in low adoption and use of these systems. These are some of the prevalent factors stimulating physician resistance. This resistance facilitates low physician involvement and creates a lack of trust in these systems. This is addressed through the development of a design theory for ICDSS. This is demonstrated through mapping and identifying extant literature in the context of the socio-technical model (STM). The gaps were identified through the relationships of the STM and developed into characteristics that are translated into meta-requirements informing design principles. The primary result of this research includes a design theory for ICDSS development. The developed design theory motivates and enables efficient ICDSS development, physician adoption, and more effective patient care. The design theory will also provide managers and researchers deeper insight into designing ICDSS to further improve physician adoption and use of ICDSS