Knowledge Management in Collaborative Business Networks

2014 ◽  
pp. 1367-1379
Author(s):  
Alexander Smirnov ◽  
Tatiana Levashova ◽  
Nikolay Shilov ◽  
Alexey Kashevnik
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Current Situation ◽  
Collaborative Network ◽  
Business Networks ◽  
Context Management ◽  
Process Knowledge ◽  
Multiple Processes ◽  
Management Technology

Current worldwide economy conditions cause increasing popularity of collaborative business networks. Dealing with multiple organizations and multiple processes within a complicated network, identifying and locating a member that has a responsibility and/or a competence in a particular part of the network can be a laborious, time-consuming process. Knowledge management technology is aimed to assist in solving this problem. It requires intelligent interoperability support between information systems of collaborative network members. A presented approach is based on the context management technology. It allows allows describing the collaborative network at a particular moment. The context includes such current situation properties as time, location, competence profiles of collaborative network members, etc. The competence profiles allow formalizing and sharing member's knowledge and competencies.

PROCESS-KNOWLEDGE MANAGEMENT AND ITS APPLICATION FOR DRILLING IN GAS HYDRATE ENVIRONMENTS

2004 ◽  
Vol 44 (1) ◽  
pp. 559
Author(s):  
W.F. Prassl ◽  
J.M. Peden ◽  
K.W. Wong
Keyword(s):  
Knowledge Management ◽  
Gas Hydrate ◽  
Best Practice ◽  
Petroleum Industry ◽  
Process Knowledge ◽  
Project Outcomes ◽  
Current Scenario ◽  
Potential Benefits ◽  
Multiple Field

Understanding both the potential benefits and mitigation of risk based on the application of the latest technologies and procedures are essential to the success of any venture within the petroleum industry. To allow this, a process-knowledge management system has been formulated in order to capture the available knowledge, verify its impact, enable reasoning and informed decision-making. Such a system allows exploitation of explicit and tacit process-knowledge, so that information from multiple field experts, company best practice policies and latest technological findings can be gathered and applied. To handle embedded uncertainties according to their nature, type-2 fuzzy set theory is used. The system is realised via individual reasoning blocks that establish a coherent reasoning lattice. The two apparent benefits of this approach are that it:allows easy adaptation and upgrading of the system’s knowledge; andprovides sensitivity for selection of particular reasoning blocks, depending on the current scenario and conditions.A prototype has been constructed, therefore, to investigate potential gas hydrate related drilling problems. Its main purpose is to enhance well planning and aid the execution of drilling plans, so that safe working conditions as well as economic and technically successful project outcomes can be achieved. The commercial impact of using such a system will:lead to a potential increase in well-site security as well as an overall reduction of well costs; andinitiate developments of process-knowledge management systems for similar domains.

Semantic Annotation of Process Models for Facilitating Process Knowledge Management

2010 ◽  
Vol 1 (3) ◽  
pp. 45-67 ◽  
Author(s):  
Yun Lin ◽  
John Krogstie
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Business Process ◽  
Business Processes ◽  
Semantic Annotation ◽  
Empirical Evaluation ◽  
Process Models ◽  
Process Knowledge ◽  
Business Process Models ◽  
Distributed Process

Enterprise/business process models that represent knowledge of business processes are generally designed for particular applications in a range of different enterprises. It is a considerable challenge to manage the knowledge of processes that are distributed throughout many different information systems, due to the heterogeneity of the process models used. In this paper, the authors present a framework for semantic annotation that tackles the problem of the heterogeneity of distributed process models to facilitate management of process knowledge. The feasibility of the approach is demonstrated by means of exemplar studies, and a comprehensive empirical evaluation is used to validate the authors’ approach.

An Exploratory Study on Knowledge Management Characteristics and Challenges in Mass Customisation

2005 ◽  
Vol 04 (03) ◽  
pp. 157-165
Author(s):  
Sung-Eui Cho ◽  
Won Jun Lee ◽  
Jonguk Kim
Keyword(s):  
Knowledge Management ◽  
Case Studies ◽  
Exploratory Study ◽  
Business Environment ◽  
Process Knowledge ◽  
Mass Customisation ◽  
Knowledge Processes ◽  
Company Directors ◽  
Product And Process Knowledge ◽  
Product And Process

The characteristics of knowledge management (KM) in mass customisation were newly extracted and the effect of those characteristics on KM performance was examined through case studies in this research. The firms implementing mass customisation are good cases adopting recent changes in business environment including increased variability of customer needs, technologies, and increase of the need for KM. From the results of this research, several differentiated characteristics compared to the cases not implementing mass customisation were extracted. These include: (1) extended scope of KM (customer, product and process knowledge); (2) increase in the volume of knowledge and knowledge processes; and (3) increase in the need for knowledge flexibility and knowledge variability. In addition, it was found that the capability to manage these characteristics positively affected KM performance in mass customisation. Therefore, firms intending to implement KM for mass customisation need to consider the differentiated characteristics of KM. Research was conducted through interviews with company directors or managers in charge of KM in selected companies implementing mass customisation.

Sign in / Sign up

Export Citation Format

Share Document