Analyzing Technical Limitations of Knowledge Management System that Affect User Dissatisfaction

In today’s knowledge based economy knowledge has become the most important competitive advantage of organizations. On the other hand, Information technology improves business values by playing an enabler role in knowledge management infrastructure. Many organizations to take advantage of the benefit...

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Main Authors: Azadeh Faridi Aghdam, Mahmoud Moradi, Bahman Norouzpour
Format: Article
Language:fas
Published: Iranian Research Institute for Information and Technology 2015-09-01
Series:Iranian Journal of Information Processing & Management
Subjects:
Online Access:http://jipm.irandoc.ac.ir/browse.php?a_code=A-10-2797-1&slc_lang=en&sid=1
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author Azadeh Faridi Aghdam
Mahmoud Moradi
Bahman Norouzpour
author_facet Azadeh Faridi Aghdam
Mahmoud Moradi
Bahman Norouzpour
author_sort Azadeh Faridi Aghdam
collection DOAJ
description In today’s knowledge based economy knowledge has become the most important competitive advantage of organizations. On the other hand, Information technology improves business values by playing an enabler role in knowledge management infrastructure. Many organizations to take advantage of the benefits of knowledge management systems have introduced, design and use KM systems as a systematic way of applying IT to KM. These systems help organizations to improve competitive power and efficiency in knowledge management. However, there are limitations in reaching these goals leading to failure to make full use of the potential benefits of these systems. Thus, this article studies limitations in these systems through an empirical survey. By reviewing literature, limitation factors divided into three categories: system quality limitations, knowledge quality limitations and service quality limitations. System quality limitations refer to the information processing system criteria. A questionnaire was developed and distributed among the users in several companies that implemented this system. Data were collected and analyzed based on 176 questionnaires related to structural modeling. Then in order to analyze the data, Warp PLS has been employed. The results show that knowledge Quality were statistically and service quality and system quality respectively the most significant factors that affects user dissatisfaction and there is a positive relationship between three limitations redounded to user dissatisfaction of the knowledge management systems.
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spelling doaj.art-d9f4b2e7364b4eaaa391bb16962657bd2022-12-22T02:21:23ZfasIranian Research Institute for Information and TechnologyIranian Journal of Information Processing & Management2251-82232251-82312015-09-0130411071129Analyzing Technical Limitations of Knowledge Management System that Affect User DissatisfactionAzadeh Faridi Aghdam0Mahmoud Moradi1Bahman Norouzpour2 University of Guilan University of Guilan University of Guilan In today’s knowledge based economy knowledge has become the most important competitive advantage of organizations. On the other hand, Information technology improves business values by playing an enabler role in knowledge management infrastructure. Many organizations to take advantage of the benefits of knowledge management systems have introduced, design and use KM systems as a systematic way of applying IT to KM. These systems help organizations to improve competitive power and efficiency in knowledge management. However, there are limitations in reaching these goals leading to failure to make full use of the potential benefits of these systems. Thus, this article studies limitations in these systems through an empirical survey. By reviewing literature, limitation factors divided into three categories: system quality limitations, knowledge quality limitations and service quality limitations. System quality limitations refer to the information processing system criteria. A questionnaire was developed and distributed among the users in several companies that implemented this system. Data were collected and analyzed based on 176 questionnaires related to structural modeling. Then in order to analyze the data, Warp PLS has been employed. The results show that knowledge Quality were statistically and service quality and system quality respectively the most significant factors that affects user dissatisfaction and there is a positive relationship between three limitations redounded to user dissatisfaction of the knowledge management systems.http://jipm.irandoc.ac.ir/browse.php?a_code=A-10-2797-1&slc_lang=en&sid=1Knowledge Management Systems System Quality Limitations Knowledge Quality Limitations Service Quality Limitations User Dissatisfaction
spellingShingle Azadeh Faridi Aghdam
Mahmoud Moradi
Bahman Norouzpour
Analyzing Technical Limitations of Knowledge Management System that Affect User Dissatisfaction
Iranian Journal of Information Processing & Management
Knowledge Management Systems
System Quality Limitations
Knowledge Quality Limitations
Service Quality Limitations
User Dissatisfaction
title Analyzing Technical Limitations of Knowledge Management System that Affect User Dissatisfaction
title_full Analyzing Technical Limitations of Knowledge Management System that Affect User Dissatisfaction
title_fullStr Analyzing Technical Limitations of Knowledge Management System that Affect User Dissatisfaction
title_full_unstemmed Analyzing Technical Limitations of Knowledge Management System that Affect User Dissatisfaction
title_short Analyzing Technical Limitations of Knowledge Management System that Affect User Dissatisfaction
title_sort analyzing technical limitations of knowledge management system that affect user dissatisfaction
topic Knowledge Management Systems
System Quality Limitations
Knowledge Quality Limitations
Service Quality Limitations
User Dissatisfaction
url http://jipm.irandoc.ac.ir/browse.php?a_code=A-10-2797-1&slc_lang=en&sid=1
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