Knowledge Management System of Intercity Emergency Decision Making

2009 ◽  
Author(s):  
Hong Tang ◽  
Lindu Zhao
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Management System ◽  
Knowledge Management System ◽  
Emergency Decision Making ◽  
Emergency Decision

KNOWLEDGE AS A FACTOR IN THE DEVELOPMENT OF MODERN ENTERPRISE

2011 ◽  
Vol 160 (2) ◽  
pp. 297-311
Author(s):  
Aldona DEREŃ ◽  
Andrzej KUDŁASZYK
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Management System ◽  
Dynamic Environment ◽  
Economic Agent ◽  
Knowledge Management System ◽  
Institutional Framework ◽  
Modern Enterprise ◽  
New Knowledge

Dynamic environment causes a contemporary business basis becomes knowledge that organizations not only should gather, but also specially use and create new knowledge. In work the essence and nature of knowledge, with an indication of its importance as an economic agent dynamic and conclusive. Suitable for putting knowledge underpins decision-making allowing the market to succeed. The growing demand for the knowledge and the interactions between the resource of knowledge and institutional framework confirms the need to implement and improve the knowledge management system in the enterprise.

scholarly journals Knowledge Management System Adoption to Improve Decision-Making Process in Higher Learning Institutions in the Developing Countries: A Conceptual Framework

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Hanan Mohammed Oumran ◽  
Rodziah Binti Atan ◽  
Rozi Nor Haizan Binti Nor ◽  
Salfarina Binti Abdullah ◽  
Muaadh Mukred
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Conceptual Framework ◽  
Management System ◽  
Higher Learning ◽  
Knowledge Management System ◽  
Decision Making Process ◽  
Factors Affecting ◽  
Related Information ◽  
Learning Institutions

Currently, higher learning institutions (HLIs) are facing their most challenging problem in inefficient information management. The knowledge management system (KMS) application calls for providing several benefits to lecturers and students, producing daily information, documenting records for evidence of a transaction, and eventually improving the decision-making process. Knowledge management can be coupled with fuzzy logic to deal with imprecision and uncertainty of data in a KMS. The ICT dynamic development has shifted the HLI operations from manual to electronic-based handling of related information. KMS is one of the systems that are of significant consideration in this regard. Nevertheless, such a system has not been extensively adopted as expected due to users’ rejection of its use. In the present paper, the factors affecting the decision to adopt/reject KMS are highlighted. The study is qualitative and entails a critical review of the related literature concerning the topic, backed by interviews. KMS experts working with highly reputable HLI were interviewed. A total of 11 factors were focused on in light of their effect on the decision to adopt/reject KMS, as argued by the technological adoption theories and literature review. All the factors were validated and placed in ranks by the experts. From the results, a novel conceptual framework of KMS adoption was developed for Libyan HLIs to bring about technology adoption and improved decision-making.

HEKM: A High-End Equipment Knowledge Management System for Supporting Knowledge-Driven Decision-Making in New Product Development

2018 ◽  
Author(s):  
Chao Zhang ◽  
Guanghui Zhou ◽  
Quandong Bai ◽  
Qi Lu ◽  
Fengtian Chang
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Product Development ◽  
New Product Development ◽  
Management System ◽  
New Product ◽  
Decision Makers ◽  
Knowledge Management System ◽  
Personalized Pagerank ◽  
Knowledge Resources

Pre-existing knowledge buried in high-end equipment manufacturing enterprises could be effectively reused to help decision-makers develop good judgements to make decisions about the problems in new product development, which in turn speeds up and improves the quality of product innovation. Nevertheless, a knowledge-based decision support system in high-end equipment domain is still not fully accomplished due to the complication of knowledge content, fragmentation of knowledge theme, heterogeneousness of knowledge format, and decentralization of knowledge storage. To address these issues, this paper develops a high-end equipment knowledge management system (HEKM) for supporting knowledge-driven decision-making in new product development. HEKM provides three steps for knowledge management and reuse. Firstly, knowledge resources are captured and structured through a standard knowledge description template. Then, OWL ontologies are employed to explicitly and unambiguously describe the concepts of the captured knowledge and also the relationships that hold between those concepts. Finally, the Personalized PageRank algorithm together with ontology reasoning approach is used to perform knowledge navigation, where decision-makers could acquire the most relevant knowledge for a given problem through knowledge query or customized active push. The feasibility and effectiveness of HEKM are demonstrated through three industrial application examples.

scholarly journals MULTI-LEVEL ARCHITECTURE OF KNOWLEDGE MANAGEMENT SYSTEM TO IMPROVE INFORMATION SECURITY LEVEL

2021 ◽  
Vol 6 ◽  
pp. 194-200
Author(s):  
Amyrtaa K. Mongush ◽  
Igor N. Karmanov
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Information Security ◽  
Management System ◽  
Knowledge Exchange ◽  
Knowledge Management System ◽  
Security Level ◽  
Security Risks ◽  
Multi Level ◽  
Individual Information

Information security is a major concern because security risks can greatly affect the assets of an organization. To increase the level of information security, it is proposed to use a knowledge management system with a multi-level architecture in order to improve knowledge exchange and facilitate decision-making, as well as reduce dependence on individual information security experts.

Decisional DNA and the Smart Knowledge Management System

2011 ◽  
pp. 149-175 ◽  
Author(s):  
Cesar Sanin ◽  
Edward Szczerbicki
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Decision Support ◽  
Management System ◽  
Explicit Knowledge ◽  
Knowledge Structure ◽  
Knowledge Management System ◽  
Knowledge Based ◽  
Hybrid Knowledge

Some of the most complicated issues about knowledge are its acquisition and its conversion into explicit knowledge. Nevertheless, among all knowledge forms, storing formal decision events in a knowledge-explicit way becomes an important advance. The smart knowledge management system (SKMS) is a hybrid knowledge-based decision support system that takes information and sends it through four macro-processes: diagnosis, prognosis, solution, and knowledge, in order to build the Decisional DNA of an organization. The SKMS implements a model for transforming information into knowledge by using sets of experience knowledge structure. The purpose of this chapter is to show how decisional DNA is constructed through the implementation of the SKMS. Fully developed, the SKMS certainly would improve the quality of decision-making, and could advance the notion of administering knowledge in the current decision making environment.

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