Performance Evaluation of Knowledge Management Implementation Using Analytic Hierarchy Process (AHP). Case Study at PT. Medco E&P Indonesia

Ruvania, Firdha and Sofianti, Tanika D. and Tertiana, Invanos (2014) Performance Evaluation of Knowledge Management Implementation Using Analytic Hierarchy Process (AHP). Case Study at PT. Medco E&P Indonesia. Bachelor thesis, Swiss German University.

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Abstract

In today’s competitive business environment, competition between organizations has become strict and more competitive. PT. Medco E&P Indonesia implementing Knowledge Management (KM) as company intangible asset in order to reach higher competitive advantage. The investment in KM needs to be evaluated to assure the advantage obtained from the investment. The objective of this study is to evaluate knowledge management performance by comparing and ranking each division to find division that represents the most desirable performance to the least performance. The methodology used to evaluate is Analytic Hierarchy Process (AHP). The AHP arranges the decision problem into a hierarchy of more easily comprehended. This thesis adopts SECI model as a criteria that correlated to KM performance. In order to identify the area for improvements by means of determine the differences between division, gap analysis was conducted. Prioritize of criteria socialization (37.68%), internalization (23.63%), combination (23.61%), and externalization (15.08%). The result of division with highest weight of KM performance is planning and the lowest is financial. Financial division needs to improve the overall SECI process by increasing interaction between team members, routine progress reports and also verbalizing knowledge based on documents.

Item Type: Thesis (Bachelor)
Uncontrolled Keywords: Knowledge Management Performance, Knowledge Management Process, SECI model, Analytic Hierarchy Process
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD30 Knowledge management
T Technology > T Technology (General) > T55.4 Industrial engineering. Management engineering
Divisions: Faculty of Engineering and Information Technology > Department of Industrial Engineering
Depositing User: Faisal Ifzaldi
Date Deposited: 04 May 2021 15:26
Last Modified: 04 May 2021 15:26
URI: http://repository.sgu.ac.id/id/eprint/1975

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