<p> Automated Logistics Environment (ALE) is a new term used by Navy and aerospace industry executives to describe the aggregate of logistics-related information systems that support modern aircraft weapon systems. The development of logistics information systems is not always well coordinated among programs, often resulting in solutions that cannot be easily integrated or made interoperable with other information systems used within the Department of Defense. A phenomenological approach was used to explore ALE program managers' lived experiences of coordinating defense acquisition programs toward the goal of creating a common environment in which information systems are well integrated and interoperable. The business problems associated with smart aircraft diagnostic, prognostic, health and usage monitoring systems, and the challenges created by the large volumes of data that are being collected by sensors onboard newly deployed smart aircraft also were explored. This qualitative study was accomplished by conducting interviews with 18 logistics and information technology managers from Naval Air Systems Command, Naval Air Station Patuxent River, Maryland with first-hand experience in dealing with ALE. The study results were presented in the form of a composite description derived from the textural-structural descriptions for each study participant. Results of the study included the structures of meaning surrounding ALE and identified social, organizational, and other non-technical components of systems integration that have been largely ignored in the information systems literature. Study results also included the perceived benefits and disadvantages of a common Automated Logistics Environment. Future researchers should consider the rich opportunities available to study other system of systems environments in federal government agencies including the U.S. Department of Defense, military departments, and subordinate defense agencies. While scholars may desire to simplify complex phenomena, future researchers should take care to avoid oversimplification of systems integration constructs in system of systems environments. As shown by this current ALE study, some technical and nontechnical issues may be inseparable in a real world setting. The ALE study results indicated that research that focuses on either technical or non-technical aspects of systems integration may not fully account for dynamic, interrelated (and often subtle) factors and may restrict our understanding of systems integration.</p>

<p> Systems engineering teams' value-creation for enterprises is slower than possible due to inefficiencies in communication, learning, common knowledge collaboration and leadership conduct. This dissertation outlines the surrounding people, process and technology dimensions for higher performing engineering teams. It describes a true experiment investigation of opportunities to improve communication, learning and common knowledge collaboration. </p><p> The art and practice of Systems Engineering contributes business value by orchestrating large numbers of knowledge-workers as engineering teams in the achievement of complex goals. During the creation of new systems, engineering team performance modulates business efficiencies to realize those complex goals. Higher performing engineering teams share a vision providing purpose, rely on personal knowledge convolved with collaborators knowledge to unleash potential, leverage common knowledge in their team mental models, and execute synergistically. Why do non-high performing teams exist? Culture change is hard. Humans prefer the familiar. Without Leadership and systematic enablement, teams usually do not naturally find the high performing team traits. </p><p> This research investigates a unique Information Technology based Systems Engineering Knowledge Asset (SEKA) management mechanism. The selected mechanism integrates multiple techniques for improved collaboration efficacy. The research methodology was a modified true experiment with dual-posttest only, using an A and B group for comparative controls. Research findings reflect, with 99% confidence, that SEKA represented in 3-way Multiple Informational Representations Required of Referent (MIRRoR) knowledge constructs improves systems engineering teams' consumption of a common knowledge base. </p><p> Engineering teams can consume a set of information, which generates knowledge common with their collaborators, in a shorter period. More knowledge that is common facilitates increased ability to collaborate. Increased collaboration accelerates team learning, leading to shorter systems delivery schedules, lower cost to produce and earlier actionable intelligence. Shorter delivery times increase customer satisfaction; lower costs improve profit margin potential, and earlier actionable intelligence supports "left of boom" intervention. </p>

<p> Electronic Medical Records (EMRs) are increasingly being used in healthcare organizations. However, there are few factors influencing the physician adoption rate of EMRs. The purpose of this paper is to investigate the meaningful use incentives, and the type of specialty practices in relationship to the physician use of EMRs. Data from the National Ambulatory Medical Care Survey (NAMCS) were analyzed to how meaningful use incentives and the type of physician practices affect the physician use of EMRs. The Chi-Square test and ANOVA test have been use to examine the hypothesis, and the association was found to be statistically significant.</p>

<p> Information systems can be used to increase competitiveness by increasing the effectiveness and speed of decision-making. Software as a Service (SaaS) is a subset of cloud computing that provides information systems functionality through a web browser. Organizations that adopt SaaS can receive value over time if they continue to use the SaaS solution after implementation. This study analyzed the extent to which SaaS adoption and continued use factors affect the continued use of SaaS in organizations. The research can help organizations maximize the value of SaaS by identifying success factors for continued use. The study determined the extent to which the independent factors of Rapport, Responsiveness, Reliability, Features, Security, Flexibility, and Marketing Effort affected the dependent variable of the decision makers' intent to continue use of SaaS within their organization. Participants in the study included IT managers and other technologists familiar with the use of SaaS in their workplace. Invitations were sent via email to IT managers and technologists working at a large aerospace organization. There was also an open invitation posted on a social media site used by customers of a large SaaS provider. The invitations resulted in 101 valid responses. The Extended SaaS-Qual model developed in this study is an extension of an earlier model developed to analyze SaaS continuance. The original SaaS-Qual model was extended to understand the effect of marketing on SaaS continuance intention. Statistical analysis including loadings, internal consistency, convergent validity, and discriminate validity showed strong support for the Extended SaaS-Qual model. The Extended SaaS-Qual model will help with the establishment of standardized measures for the benefit of both SaaS providers and SaaS users.</p>

Thesis (Ph.D.)--Stockholm School of Economics, 2005. / Includes bibliographical references (p. [245]-258). Also available on the internet.

Thesis (M. Eng.) - Carleton University, 2007. / Includes bibliographical references (p. 91-95). Also available in electronic format on the Internet.

Thesis (Ph.D.)--Bowling Green State University, 2006. / Document formatted into pages; contains xi, 160 p. Includes bibliographical references.

Thesis (MPhil)--University of Stellenbosch, 2006. / On title page: Master of Philosophy (Information and Knowledge Management). Bibliography. Also available via the Internet.

Emergency Management Information Systems (EMIS) are defined as a set of tools that aid decision-makers in risk assessment and response for significant multi-hazard threats and disasters. Over the past three decades, EMIS have grown in importance as a major component for understanding, managing, and governing transportation-related systems. To increase resilience against potential threats, the main goal of EMIS is to timely utilize spatial and network datasets about (1) locations of hazard areas (2) shelters and resources, (3) and how to respond to emergencies. The main concern about these datasets has always been the very large size, variety, and update rate required to ensure the timely delivery of useful emergency information and response for disastrous events. Another key issue is that the information should be concise and easy to understand, but at the same time very descriptive and useful in the case of emergency or disaster. Advancement in EMIS is urgently needed to develop fundamental data processing components for advanced spatial network queries that clearly and succinctly deliver critical information in emergencies. To address these challenges, we investigate Spatial Network Database Systems and study three challenging Transportation Resilience problems: producing large scale evacuation plans, identifying major traffic patterns during emergency evacuations, and identifying the highest areas in need of resources. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2020. / FAU Electronic Theses and Dissertations Collection

Thesis (MTech (Business Administration))--Cape Peninsula University of Technology, 2016. / Human Resource Information Systems (HRISs) are systems that merge Human Resources (HR) and Information Systems (ISs) for a fast, easy, and convenient way of operating and reporting the human and material resources in an organisation. The retail sector is an important and active sector in terms of its job creation and a major contributor to the economy. This research focuses on the level of impact HRISs have in the retail sector by reassessing its functions, problems, prospects, and benefits to the retail industries. This research further focuses on two retail outlets that use HRISs to explore how effective HRIS implementation is, the benefits these systems are able to offer, and its contribution to the organisation. A multiple case study was used as research strategy. Interviews and semi-structured questionnaires were conducted to collect the data. Data was analysed using summarising, categorising and thematic analysis. The problem statement is that HRISs are difficult to implement and maintain and as a result, organisations cannot effectively utilise these systems to their benefit. The aim of this research is based on exploring how HRISs can be implemented and maintained in order for organisations to gain the expected benefits of the system. The contribution of the study is a proposed guideline for retail organisations to assist in the effective implementation and maintenance of their preferred HRISs. All ethical standards as required by CPUT were followed. Consent was obtained in writing from the companies as well as the interviewees.