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Customer knowledge management antecedent factors for enterprise software quality

Customer Knowledge Management (CKM) plays an important role in the production of high quality software products. Previous studies have only focused on the technical aspects of software quality. However, because of the nature of enterprise software, there is a greater dependence on CKM for customizat...

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Main Author: Khosravi, Arash
Format: Thesis
Language:English
Published: 2017
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/77836/1/ArashKhosraviPFC2017.pdf
http://eprints.utm.my/id/eprint/77836/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:104954
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spelling my.utm.778362018-07-04T11:49:31Z http://eprints.utm.my/id/eprint/77836/ Customer knowledge management antecedent factors for enterprise software quality Khosravi, Arash QA75 Electronic computers. Computer science Customer Knowledge Management (CKM) plays an important role in the production of high quality software products. Previous studies have only focused on the technical aspects of software quality. However, because of the nature of enterprise software, there is a greater dependence on CKM for customization, enhancement, maintenance, and training. As CKM in Enterprise Software (ES) development is still immature, this raises questions on how CKM can help ES development companies to improve their software quality. In this research, Knowledge-Based View (KBV) and Theory of Technology were used to demonstrate the Organizational, Human, and Technological antecedent factors that enable the CKM process and lead to ES quality. Human, Organizational and Technological CKM antecedent factors were identified from the literature. The importance degree of each factor was determined by experts from ES development companies using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Moreover, based on high priority factors, a theoretical model was developed. The proposed model was evaluated by distributing a survey questionnaire to decision-makers in ES development companies. With 164 valid questionnaires received, the collected data was analyzed using the Partial Squares Structural Equation Modelling (PLS-SEM) technique. The results show that Customer Involvement together with Senior Management Support were the most influential factors. There was no impact from Organizational Training, Customer Knowledge Map, and CKM Strategy Development. The results revealed that the impact of CKM on software quality is significant. The model developed in this research can be used as a guideline for the successful application of CKM in enterprise software development companies to improve the software quality. 2017-04 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/77836/1/ArashKhosraviPFC2017.pdf Khosravi, Arash (2017) Customer knowledge management antecedent factors for enterprise software quality. PhD thesis, Universiti Teknologi Malaysia, Faculty of Computing. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:104954
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Khosravi, Arash
Customer knowledge management antecedent factors for enterprise software quality
description Customer Knowledge Management (CKM) plays an important role in the production of high quality software products. Previous studies have only focused on the technical aspects of software quality. However, because of the nature of enterprise software, there is a greater dependence on CKM for customization, enhancement, maintenance, and training. As CKM in Enterprise Software (ES) development is still immature, this raises questions on how CKM can help ES development companies to improve their software quality. In this research, Knowledge-Based View (KBV) and Theory of Technology were used to demonstrate the Organizational, Human, and Technological antecedent factors that enable the CKM process and lead to ES quality. Human, Organizational and Technological CKM antecedent factors were identified from the literature. The importance degree of each factor was determined by experts from ES development companies using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Moreover, based on high priority factors, a theoretical model was developed. The proposed model was evaluated by distributing a survey questionnaire to decision-makers in ES development companies. With 164 valid questionnaires received, the collected data was analyzed using the Partial Squares Structural Equation Modelling (PLS-SEM) technique. The results show that Customer Involvement together with Senior Management Support were the most influential factors. There was no impact from Organizational Training, Customer Knowledge Map, and CKM Strategy Development. The results revealed that the impact of CKM on software quality is significant. The model developed in this research can be used as a guideline for the successful application of CKM in enterprise software development companies to improve the software quality.
format Thesis
author Khosravi, Arash
author_facet Khosravi, Arash
author_sort Khosravi, Arash
title Customer knowledge management antecedent factors for enterprise software quality
title_short Customer knowledge management antecedent factors for enterprise software quality
title_full Customer knowledge management antecedent factors for enterprise software quality
title_fullStr Customer knowledge management antecedent factors for enterprise software quality
title_full_unstemmed Customer knowledge management antecedent factors for enterprise software quality
title_sort customer knowledge management antecedent factors for enterprise software quality
publishDate 2017
url http://eprints.utm.my/id/eprint/77836/1/ArashKhosraviPFC2017.pdf
http://eprints.utm.my/id/eprint/77836/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:104954
_version_ 1643657648698032128
score 13.211869

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