An Empirical Investigation of Critical Factors that Influence Data Warehouse Implementation Success in Higher Educational Institutions
Data warehousing (DW) in the last decade has become the technology of choice for building data management infrastructures to provide organizations the decision-making capabilities needed to effectively carry out its activities. Despite its phenomenal growth and importance to organizations the rate o...
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ndltd-unt.edu-info-ark-67531-metadc41512017-03-17T08:35:59Z An Empirical Investigation of Critical Factors that Influence Data Warehouse Implementation Success in Higher Educational Institutions Mukherjee, Debasish Data warehousing. Data warehousing implementation success critical implementation factors Data warehousing (DW) in the last decade has become the technology of choice for building data management infrastructures to provide organizations the decision-making capabilities needed to effectively carry out its activities. Despite its phenomenal growth and importance to organizations the rate of DW implementation success has been less than stellar. Many DW implementation projects fail due to technical or organizational reasons. There has been limited research on organizational factors and their role in DW implementations. It is important to understand the role and impact of both technical but organizational factors in DW implementations and their relative importance to implementation performance. A research model was developed to test the significance of technical and organizational factors in the three phases of implementation with DW implementation performance. The independent variables were technical (data, technology, and expertise) and organizational (management, goals, users, organization). The dependent variable was performance (content, accuracy, format, ease of use, and timeliness). The data collection method was a Web based survey of DW implementers and DW users sampled (26) from a population of 108 identified DW implementations. Regression was used as the multivariate statistical technique to analyze the data. The results show that organization factors are significantly related to performance. Also, that some variables in the post-implementation phase have a significant relationship with performance. Based on the results of the tests the model was revised to reflect the relative impact of technical and organizational factors on DW performance. Results suggest that in some cases organizational factors have a significant relationship with DW implementation performance. The implications and interpretation of these results provide researchers and practitioners' insights and a new perspective in the area of DW implementations. University of North Texas D'Souza, Derrick E. O'Connor, Brian Clark Swigger, Kathleen M. Brazile, Robert 2003-05 Thesis or Dissertation Text oclc: 53223082 https://digital.library.unt.edu/ark:/67531/metadc4151/ ark: ark:/67531/metadc4151 English Use restricted to UNT Community Copyright Mukherjee, Debasish Copyright is held by the author, unless otherwise noted. All rights reserved. |
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Data warehousing. Data warehousing implementation success critical implementation factors |
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Data warehousing. Data warehousing implementation success critical implementation factors Mukherjee, Debasish An Empirical Investigation of Critical Factors that Influence Data Warehouse Implementation Success in Higher Educational Institutions |
description |
Data warehousing (DW) in the last decade has become the technology of choice for building data management infrastructures to provide organizations the decision-making capabilities needed to effectively carry out its activities. Despite its phenomenal growth and importance to organizations the rate of DW implementation success has been less than stellar. Many DW implementation projects fail due to technical or organizational reasons.
There has been limited research on organizational factors and their role in DW implementations. It is important to understand the role and impact of both technical but organizational factors in DW implementations and their relative importance to implementation performance.
A research model was developed to test the significance of technical and organizational factors in the three phases of implementation with DW implementation performance. The independent variables were technical (data, technology, and expertise) and organizational (management, goals, users, organization). The dependent variable was performance (content, accuracy, format, ease of use, and timeliness). The data collection method was a Web based survey of DW implementers and DW users sampled (26) from a population of 108 identified DW implementations. Regression was used as the multivariate statistical technique to analyze the data. The results show that organization factors are significantly related to performance. Also, that some variables in the post-implementation phase have a significant relationship with performance.
Based on the results of the tests the model was revised to reflect the relative impact of technical and organizational factors on DW performance. Results suggest that in some cases organizational factors have a significant relationship with DW implementation performance. The implications and interpretation of these results provide researchers and practitioners' insights and a new perspective in the area of DW implementations. |
author2 |
D'Souza, Derrick E. |
author_facet |
D'Souza, Derrick E. Mukherjee, Debasish |
author |
Mukherjee, Debasish |
author_sort |
Mukherjee, Debasish |
title |
An Empirical Investigation of Critical Factors that Influence Data Warehouse Implementation Success in Higher Educational Institutions |
title_short |
An Empirical Investigation of Critical Factors that Influence Data Warehouse Implementation Success in Higher Educational Institutions |
title_full |
An Empirical Investigation of Critical Factors that Influence Data Warehouse Implementation Success in Higher Educational Institutions |
title_fullStr |
An Empirical Investigation of Critical Factors that Influence Data Warehouse Implementation Success in Higher Educational Institutions |
title_full_unstemmed |
An Empirical Investigation of Critical Factors that Influence Data Warehouse Implementation Success in Higher Educational Institutions |
title_sort |
empirical investigation of critical factors that influence data warehouse implementation success in higher educational institutions |
publisher |
University of North Texas |
publishDate |
2003 |
url |
https://digital.library.unt.edu/ark:/67531/metadc4151/ |
work_keys_str_mv |
AT mukherjeedebasish anempiricalinvestigationofcriticalfactorsthatinfluencedatawarehouseimplementationsuccessinhighereducationalinstitutions AT mukherjeedebasish empiricalinvestigationofcriticalfactorsthatinfluencedatawarehouseimplementationsuccessinhighereducationalinstitutions |
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