z-logo
open-access-imgOpen Access
On the comparison of KM criteria classifications
Author(s) -
Reza Tabrizi,
Nazli Ebrahimi,
Sahal Ali Al-Marwai
Publication year - 2011
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2010.12.114
Subject(s) - computer science , sorting , order (exchange) , knowledge management , customer satisfaction , bridge (graph theory) , population , marketing , business , medicine , demography , finance , sociology , programming language
This study investigates the criteria for measuring knowledge management success among Malaysian organizations. Till date, no comprehensive sets of criteria were introduced by researchers. This survey, then, attempts to bridge the gap. The study population consists of 79 Malaysian organizations. This survey was conducted based on the reviewing of various literatures in the area of knowledge management. A review of the literature reveals that the criteria of measuring KM outcomes can be classified into five different classes: (1) Systematic knowledge programs; (2) Employee development; (3) Customer satisfaction; (4) Good external relationship; (5) Organizational success. In the current study, this sorting is used to shape a foundation in order to compare KM criteria classifications. Hence, this survey aims to uncover the most favoured classification within Malaysian organizations. The results of survey are then used to compare scores for five groups of criteria. According to the findings achieved from statistical analysis, Systematic knowledge programs stands first on the list of top KM criteria classifications and number two is Employee development. In addition, next ranks belong to Customer Satisfaction, Good external relationship, and Organizational success respectively. It is hoped that the results and findings of this survey will persuade businesses to perform KM initiatives properly in order to maximize the outcomes from KM programs

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom