Extracting Tacit Knowledge from Activity Engineering

• Main Authors: Liang,Chung-ming, 梁仲銘
• Other Authors: SENG-CHO TIMOTHY CHOU
• Format: Others
• Language: zh-TW
• Published: 2002
• Online Access: http://ndltd.ncl.edu.tw/handle/36531997089635873285

碩士 === 國立臺灣大學 === 資訊管理研究所 === 90 === Knowledge management deals with three major aspects of an organization; they are people, process or activity, and information technology. Activities are the source of tacit & explicit knowledge for an organization. Activity engineering is aimed at tracking, filtering and analyzing organization employee’s daily activities through the use of information technologies in order to extract the hidden information/knowledge in these activities for KM purpose, i.e., knowledge capture, transformation (from tacit to explicit), and sharing. This thesis is to study the extraction and transformation of knowledge in an organization focusing on organization activities. Taking the activity engineering approach, we will explore the extraction of tacit knowledge from daily activities and turn it into useful explicit knowledge for decision makers. A real-life case will be used to verify the effectiveness of this proposed approach. The salient features of activity engineering include a bottom-up approach as opposed to the more traditional top-down method for analyzing organization activities; the bottom-up approach is benefited from the availability of more detailed information, which, along with background knowledge, can lead to useful knowledge. Furthermore, the detailed account of a basic activity unit with role set, data set, goal, pre-condition, post-condition, and domain assumptions, also contributes to the analysis of activities with flexibility and reusability.