
 
2004, the organizers have formed a special 
committees to manage and store knowledge as a 
valuable asset for future references. The Sydney 
Olympic Games in 2000 set up a Post Games Report 
project for a period of two years. This produced an 
additional percent increase in data over the year 2000 
(Halbwirth and Toohey, 2001). In the MG case, there 
are no initiatives to encourage those involved to 
transfer or explicitly codify their knowledge. The 
officers and staff involved have to learn in an 
informal way based on the experience of seniors.  
Effective management is an important part of 
successful sporting events at all levels – elite, 
professional and amateur. This in turn assists sporting 
organizations to adapt and thrive in an environment 
of rapid and pervasive economic, social and 
technological change. Investigating the potential 
impact of any KM-motivated proposal on an 
organization is critical for the successful deployment 
of the future system. Figure 2 shows the relationship 
between the sub-committees in terms of functions 
and knowledge flow and the level of knowledge 
identified during the analysis. 
 
Figure 2: MG Sub Committees (by functions/level). 
For this study, sub-committees of the MG were 
divided into three levels according to the task 
hierarchy of the MG and the possible strength of KM 
in its operations. High Level – Level 1 refers to the 
sub-committee which has the highest level of 
importance for the management of the MG. 
3 CONTEXTUAL ANALYSIS 
Contextual analysis has been defined as the analysis 
of the social, organizational and physical 
environment in which a system will be used (Preece 
et al., 2002) while Bouarfa (2008) defines context as 
user, task and physical and social environment. 
Context analysis is typically used in application 
development projects to indicate how the system 
should interact with its environment. Context models 
describe information and control flow between a 
system and its environment. According to Aguila et 
al. (2001), there are many modeling frameworks; the 
most representative are CommonKADS, MIKE and 
PROTÉGÉ-II. Each one of them has its own 
modelling approach. CommonKADS is prominent 
for having defined the structure of the Knowledge 
Model (or Expertise Model), MIKE puts emphasis on 
formal and executable specification of the expertise 
model, as the result of the knowledge acquisition 
phase, and PROTÉGÉ exploits the notion of 
ontology. CommonKADS methodology is a standard 
in Europe and covers all knowledge based systems 
(KBS) development processs. CommonKADS 
provides a complete methodology for the 
development of a knowledge-based system 
describing principles, techniques, modelling 
languages and document structures to assist the 
construction of a knowledge based systems (KBS).    
The CommonKADS offers a detailed sets of 
models to guide an in-depth analysis. The analysis 
focuses on the business processes of the organization 
and traces the use of knowledge in the working 
processes (Schreiber et al. 2000). CommonKADS 
methodologies comprises of three phases needed in 
developing a knowledge based systems (Schreiber 
et.al., 2000), they are: contextual analysis, conceptual 
analysis and design.   Contextual Analysis in 
CommonKADS aims to understand the social and 
physical contexts of organizations to determine their 
vulnerabilities and potentials by tracking the flow of 
data through an application, using cross-module, 
cross-language, semantic and data flow analysis to 
deliver the most complete understanding of the KM 
risk.  
The CommonKADS organization model supports 
identification of promising areas for knowledge 
based  systems  in organization  and detection on how 
the   KBS   might  affect  the organization (Post et.al, 
TOWARDS KNOWLEDGE MANAGEMENT IN SPORTS EVENT MANAGEMENT
 - Context Analysis of Malaysian Biannual Games with CommonKADS
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