Examining Quality Factors Influencing the Success of Data Warehouse

Increased organizational dependence on data warehouse (DW) systems has drived the management attention towards improving data warehouse systems to a success. However, the successful implementation rate of the data warehouse systems is low and many firms do not achieve intended goals. A recent study...

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Main Author:	Almabhouh, Alaaeddin
Format:	Thesis
Language:	eng eng
Published:	2011
Subjects:	QA76 Computer software
Online Access:	https://etd.uum.edu.my/2964/1/Alaaeddin_Almabhouh.pdf https://etd.uum.edu.my/2964/2/1.Alaaeddin_Almabhouh.pdf
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id	my-uum-etd.2964
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Saleh, Abdul Razak
topic	QA76 Computer software
spellingShingle	QA76 Computer software Almabhouh, Alaaeddin Examining Quality Factors Influencing the Success of Data Warehouse
description	Increased organizational dependence on data warehouse (DW) systems has drived the management attention towards improving data warehouse systems to a success. However, the successful implementation rate of the data warehouse systems is low and many firms do not achieve intended goals. A recent study shows that improves and evaluates data warehouse success is one of the top concerns facing IT/DW executives. Nevertheless, there is a lack of research that addresses the issue of the data warehouse systems success. In addition, it is important for organizations to learn about quality needs to be emphasized before the actual data warehouse is built. It is also important to determine what aspects of data warehouse systems success are critical to organizations to help IT/DW executives to devise effective data warehouse success improvement strategies. Therefore, the purpose of this study is to further the understanding of the factors which are critical to evaluate the success of data warehouse systems. The study attempted to develop a comprehensive model for the success of data warehouse systems by adapting the updated DeLone and McLean IS Success Model. Researcher models the relationship between the quality factors on the one side and the net benefits of data warehouse on the other side. This study used quantitative method to test the research hypotheses by survey data. The data were collected by using a web-based survey. The sample consisted of 244 members of The Data Warehouse Institution (TDWI) working in variety industries around the world. The questionnaire measured six independent variables and one dependent variable. The independent variables were meant to measure system quality, information quality, service quality, relationship quality, user quality, and business quality. The dependent variable was meant to measure the net benefits of data warehouse systems. Analysis using descriptive analysis, factor analysis, correlation analysis and regression analysis resulted in the support of all hypotheses. The research results indicated that there are statistically positive causal relationship between each quality factors and the net benefits of the data warehouse systems. These results imply that the net benefits of the data warehouse systems increases when the overall qualities were increased. Yet, little thought seems to have been given to what the data warehouse success is, what is necessary to achieve the success of data warehouse, and what benefits can be realistically expected. Therefore, it appears nearly certain and plausible that the way data warehouse systems success is implemented in the future could be changed.
format	Thesis
qualification_name	Ph.D.
qualification_level	Doctorate
author	Almabhouh, Alaaeddin
author_facet	Almabhouh, Alaaeddin
author_sort	Almabhouh, Alaaeddin
title	Examining Quality Factors Influencing the Success of Data Warehouse
title_short	Examining Quality Factors Influencing the Success of Data Warehouse
title_full	Examining Quality Factors Influencing the Success of Data Warehouse
title_fullStr	Examining Quality Factors Influencing the Success of Data Warehouse
title_full_unstemmed	Examining Quality Factors Influencing the Success of Data Warehouse
title_sort	examining quality factors influencing the success of data warehouse
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2011
url	https://etd.uum.edu.my/2964/1/Alaaeddin_Almabhouh.pdf https://etd.uum.edu.my/2964/2/1.Alaaeddin_Almabhouh.pdf
_version_	1747827472277176320
spelling	my-uum-etd.29642022-04-12T00:15:34Z Examining Quality Factors Influencing the Success of Data Warehouse 2011 Almabhouh, Alaaeddin Saleh, Abdul Razak Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Sciences QA76 Computer software Increased organizational dependence on data warehouse (DW) systems has drived the management attention towards improving data warehouse systems to a success. However, the successful implementation rate of the data warehouse systems is low and many firms do not achieve intended goals. A recent study shows that improves and evaluates data warehouse success is one of the top concerns facing IT/DW executives. Nevertheless, there is a lack of research that addresses the issue of the data warehouse systems success. In addition, it is important for organizations to learn about quality needs to be emphasized before the actual data warehouse is built. It is also important to determine what aspects of data warehouse systems success are critical to organizations to help IT/DW executives to devise effective data warehouse success improvement strategies. Therefore, the purpose of this study is to further the understanding of the factors which are critical to evaluate the success of data warehouse systems. The study attempted to develop a comprehensive model for the success of data warehouse systems by adapting the updated DeLone and McLean IS Success Model. Researcher models the relationship between the quality factors on the one side and the net benefits of data warehouse on the other side. This study used quantitative method to test the research hypotheses by survey data. The data were collected by using a web-based survey. The sample consisted of 244 members of The Data Warehouse Institution (TDWI) working in variety industries around the world. The questionnaire measured six independent variables and one dependent variable. The independent variables were meant to measure system quality, information quality, service quality, relationship quality, user quality, and business quality. The dependent variable was meant to measure the net benefits of data warehouse systems. Analysis using descriptive analysis, factor analysis, correlation analysis and regression analysis resulted in the support of all hypotheses. The research results indicated that there are statistically positive causal relationship between each quality factors and the net benefits of the data warehouse systems. These results imply that the net benefits of the data warehouse systems increases when the overall qualities were increased. Yet, little thought seems to have been given to what the data warehouse success is, what is necessary to achieve the success of data warehouse, and what benefits can be realistically expected. Therefore, it appears nearly certain and plausible that the way data warehouse systems success is implemented in the future could be changed. 2011 Thesis https://etd.uum.edu.my/2964/ https://etd.uum.edu.my/2964/1/Alaaeddin_Almabhouh.pdf text eng public https://etd.uum.edu.my/2964/2/1.Alaaeddin_Almabhouh.pdf text eng public Ph.D. doctoral Universiti Utara Malaysia AbuAli, A. N., & AbuAddose, H. Y. (2010). Data Warehouse Critical Success Factors. European Journal of Scientific Research, 42(2), 326-335. AbuAli, A. N., & AbuAddose, H. Y. (2010). Data Warehouse Critical Success Factors. European Journal of Scientific Research, 42(2), 326-335. AbuSaleem, M. (2005).The Critical Success Factors of Data Warehousing Applications.Unpublished Master, Swedish School of Economics and Business Administration, Sewden. Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: a replication. MIS Quarterly, 16(2), 227-247. Adelman, S. 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