Big Data Driven Architecture for Medical Knowledge Management Systems in Intracranial Hemorrhage Diagnosis

Author(s):  
Thi-Hoang-Yen Le ◽  
Thuong-Cang Phan ◽  
Anh-Cang Phan
2018 ◽  
Vol 14 (4) ◽  
pp. 24-38 ◽  
Author(s):  
Thang Le Dinh ◽  
Thuong-Cang Phan ◽  
Trung Bui ◽  
Manh Chien Vu

Nowadays, big data is a revolution that transforms conventional enterprises into data-driven organizations in which knowledge discovered from big data will be integrated into traditional knowledge to improve decision-making and to facilitate organizational learning. Consequently, a major concern is how to evolve current knowledge management systems, which are confronted with a various and unprecedented amount of data, resulting from different data sources. Therefore, a new generation of knowledge management systems is required for exploring and exploiting big data as well as for facilitating the knowledge co-creation between the society and its business environment to foster innovation. This article proposes a service-oriented architecture for elaborating a new generation of big data-driven knowledge management systems to help enterprises to promote knowledge co-creation and to obtain more business value from big data. The proposed architecture is presented based on the principles of design science research and its evaluation uses the analytical evaluation method.


Author(s):  
M. V. Vakhrushev

The author examines library services based on augmented reality technology. The concept of augmented reality comprises various instruments and approaches to their application. The author demonstrates the significance of and prospects for using modern augmented reality technologies to popularize and visualize scientific knowledge accumulated over many years in the library's open archive collections. The scope of practical applications of augmented reality interfaces in the areas of library services and knowledge management systems or Big Data is hard to overestimate. However, the depth of theoretical research in the area indicates the dynamic development and the scale of further research and development in the field of library services and knowledge management systems or Big Data. The author examines the augmented reality instruments as part of ALS IRBIS64+.


MIS Quarterly ◽  
2013 ◽  
Vol 37 (1) ◽  
pp. 299-313 ◽  
Author(s):  
Yinglei Wang ◽  
◽  
Darren B. Meister ◽  
Peter H. Gray ◽  
◽  
...  

2017 ◽  
Vol 47 (2) ◽  
pp. 250-264 ◽  
Author(s):  
Chulatep Senivongse ◽  
Alex Bennet ◽  
Stefania Mariano

Purpose The purpose of this paper is to demonstrate the value of using a systematic literature review to develop an integrated framework for information and knowledge management systems. Design/methodology/approach First, the systematic literature review method is introduced, differentiating it from traditional literature reviews in terms of value-added and limitations. Second, this methodology is used in a research application focused on absorptive capacity internal capabilities with regard to the processes of acquisition, assimilation, transformation and exploitation. Third, an integrated framework for information and knowledge management systems is developed from this application. Findings The systematic literature review approach provides a rigor that can assist in reducing researcher bias while simultaneously enabling the definition of a precise scope of review, with a clear explanation of selection criteria with the objective to find and review all the studies that are relevant to the search definitions. As a research method, it effectively supports a qualitative, quantitative or mixed methodology. Research limitations/implications This methodology was applied to one specific area of research. Specific limitations include the availability of articles in subscribed databases and the analytical capabilities of the tools used for text mining and analytics. Originality/value This paper demonstrates the usefulness of the systematic literature review methodology in developing an integrated framework for analysis.


2008 ◽  
Vol 22 (2) ◽  
pp. 77-101 ◽  
Author(s):  
Holli McCall ◽  
Vicky Arnold ◽  
Steve G. Sutton

ABSTRACT: In an era where knowledge is increasingly seen as an organization's most valuable asset, many firms have implemented knowledge-management systems (KMS) in an effort to capture, store, and disseminate knowledge across the firm. Concerns have been raised, however, about the potential dependency of users on KMS and the related potential for decreases in knowledge acquisition and expertise development (Cole 1998; Alavi and Leidner 2001b; O'Leary 2002a). The purpose of this study, which is exploratory in nature, is to investigate whether using KMS embedded with explicit knowledge impacts novice decision makers' judgment performance and knowledge acquisition differently than using traditional reference materials (e.g., manuals, textbooks) to research and solve a problem. An experimental methodology is used to study the relative performance and explicit knowledge acquisition of 188 participants partitioned into two groups using either a KMS or traditional reference materials in problem solving. The study finds that KMS users outperform users of traditional reference materials when they have access to their respective systems/materials, but the users of traditional reference materials outperform KMS users when respective systems/materials are removed. While all users improve interpretive problem solving and encoding of definitions and rules, there are significant differences in knowledge acquisition between the two groups.


Sign in / Sign up

Export Citation Format

Share Document