A Structural Model of Data Warehousing Success
A Structural Model of Data Warehousing Success
复制标题
数据仓库成功的结构模型
DOI：
10.1080/08874417.2008.11645305
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Hongjiang Xu
中科院分区：
文献类型：
--
作者：
M. Hwang;Hongjiang Xu
数据仓库是实践和研究的一个重要领域，但很少有研究评估其实践，特别是关键的成功因素。虽然有大量的执行准则，但很少经过实证检验。此外，没有模型可用于比较和评估不同研究中提出的各种主张。为了更好地理解关键成功因素及其对数据仓库成功的影响，本文提出了一个研究模型。这个模型对于比较不同研究的结果和选择未来研究的变量是有用的。该模型进行了测试，使用收集的数据从数据仓库专业人员的横截面调查。偏最小二乘法（PLS）被用来验证模型中确定的结构关系。由此产生的模型有三组成功因素。技术因素对信息质量有正向影响，而操作因素和经济因素对系统质量有正向影响。因变量之间也存在结构关系。制度质量对信息质量有积极影响，信息质量反过来又对个人利益有积极影响。个人利益反过来又与组织利益成正相关关系。
Data warehousing is an important area of practice and research, yet few studies have assessed its practices in general and critical success factors in particular. Although plenty of guidelines for implementation exist, few have been subjected to empirical testing. Furthermore, no model is available for comparing and evaluating the various claims made in different studies. In order to better understand the critical success factors and their effects on data warehousing success, a research model is developed in this paper. This model is useful for comparing findings across studies and for selecting variables for future research. The model is tested using data collected from a cross sectional survey of data warehousing professionals. Partial Least Square (PLS) is used to validate the structural relations identified in the model. The resulting model has three groups of success factors. Technical factor is found to positively influence information quality, whereas both operational and economic factors have a positive effect on system quality. Structural relations are also found among the dependent variables. System quality positively influences information quality, which in turn positively affects individual benefits. Individual benefits in turn has a positive relation with organizational benefits.