1,720,974 research outputs found
Distributed Model Management Systems: A Proposal for an Ontology-Based Approach
While managers in today’s global business environments are thrusting for swifter, more flexible, and scalable decision support, technical challenges pertaining to model sharing arise due to the limited capabilities of current model representation techniques. In this research, we propose that ontologies can improve model representation and thus support sophisticated model management capabilities such as model integration and composition in distributive collaborative environments. The proposed solution extends SMML and builds upon previous literature in the semantic web to provide a model representation language that is capable of capturing model structure as well as semantics
Leveraging Technologies to Make Patients as Partners in Their Healthcare
Incidents that jeopardize patient safety and costs that are associated with managing non-communicable diseases (NCDs) continue to drain resources in the healthcare industry. Although recent initiatives emerged to make patients as partners in healthcare through technology and ultimately control many sources of costs, healthcare providers are still struggling with developing and deploying interventions for engaging patients. Relevant research leaves a lot to be explored from the patient perspective, which is understandable given the nascency of the patient role as an active participant rather than passive recipient of healthcare services relative to other stakeholders, such as healthcare providers and insurance companies. This dissertation focuses on understanding the role of patients in the healthcare industry through two main technology-enabled approaches: information sharing at the hospital level and active management of health conditions through mHealth at the patient level. The dissertation makes important contributions to research on (a) healthcare IT payoff by identifying important healthcare complementarities that involve existing evidence-based medical practices and the patient as a provider and recipient of health information and (b) mHealth by providing a fine-grained view of feature use and beliefs about health and technology. The dissertation also offers guidance to hospitals and healthcare providers who currently invest or intend to invest in technology-enabled interventions by (a) identifying sources of value in technology investments from the patient perspective at the hospital level and (b) identifying profiles for patients who are likely to advance in their health management based on a combination of beliefs about health and technology and use of mHealth features
A Risk Assessment Framework for Inter-Organizational Knowledge Sharing
Internet-based Information, Communication and Collaboration technologies are making it easier for organizations and knowledge workers to collaborate across organizational boundaries. However, it is necessary for organizations to monitor, regulate and build appropriate security mechanisms in collaboration systems to prevent loss of strategic knowledge and competitive advantage. In this paper, we present a risk assessment framework that can help organizations identify valuable knowledge assets exposed through collaboration technologies, and assess the risk of knowledge loss, intellectual property leakage, and the subsequent loss of competitive advantage so that appropriate security mechanism can be designed to prevent such a loss. We present an illustrative scenario to demonstrate the feasibility of the framework, and describe a prototype decision support system for automating the risk assessment process
A Framework for Assessing Knowledge Sharing Risks in Interorganizational Networks
Collaboration technologies are making it easier for organizations and knowledge workers to collaborate across organizational boundaries. However, it is necessary for organizations to monitor, regulate and build appropriate security mechanisms in collaboration systems to prevent loss of strategic knowledge and competitive advantage. In this paper, we present a risk assessment framework that can help organizations identify valuable knowledge assets that can be exposed through collaboration technologies, and help prioritize security strategies that can be used to secure the collaboration systems to prevent the loss of valuable knowledge assets. We present an illustrative case to demonstrate the feasibility of the framework, and discuss issues for future research
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
- …
