{"title":"政府部门采用数据仓库的结构方程模型","authors":"Edzai Kademeteme, B. Kalema, P. Pretorius","doi":"10.1109/ISTAFRICA.2015.7190533","DOIUrl":null,"url":null,"abstract":"The purpose of this study was to design a data warehouse framework in government departments. Based on the Theory of Task Technology Fit, The Unified Theory of Acceptance and Use of Technology and the Technology Organization Environment model, a conceptual framework was designed that was validated with data collected from South African department of rural development and land reform (DRDLR). The collected data was analysed quantitatively using Structural Equation Modelling (SEM), and the findings indicated that; performance expectancy, effort expectancy, behavioural intention, environmental and technological characteristics were significant for the adoption of data warehouse (DW). The framework developed by this study will act as a baseline in implementing DW, hence helping government departments to avoid having failed DW projects. This framework also provides a baseline for researches of technology adoption not only in government departments but also in other organizations.","PeriodicalId":208344,"journal":{"name":"2015 IST-Africa Conference","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Structural Equation Model for data warehouse adoption in a government department\",\"authors\":\"Edzai Kademeteme, B. Kalema, P. Pretorius\",\"doi\":\"10.1109/ISTAFRICA.2015.7190533\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this study was to design a data warehouse framework in government departments. Based on the Theory of Task Technology Fit, The Unified Theory of Acceptance and Use of Technology and the Technology Organization Environment model, a conceptual framework was designed that was validated with data collected from South African department of rural development and land reform (DRDLR). The collected data was analysed quantitatively using Structural Equation Modelling (SEM), and the findings indicated that; performance expectancy, effort expectancy, behavioural intention, environmental and technological characteristics were significant for the adoption of data warehouse (DW). The framework developed by this study will act as a baseline in implementing DW, hence helping government departments to avoid having failed DW projects. This framework also provides a baseline for researches of technology adoption not only in government departments but also in other organizations.\",\"PeriodicalId\":208344,\"journal\":{\"name\":\"2015 IST-Africa Conference\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IST-Africa Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISTAFRICA.2015.7190533\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IST-Africa Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISTAFRICA.2015.7190533","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Structural Equation Model for data warehouse adoption in a government department
The purpose of this study was to design a data warehouse framework in government departments. Based on the Theory of Task Technology Fit, The Unified Theory of Acceptance and Use of Technology and the Technology Organization Environment model, a conceptual framework was designed that was validated with data collected from South African department of rural development and land reform (DRDLR). The collected data was analysed quantitatively using Structural Equation Modelling (SEM), and the findings indicated that; performance expectancy, effort expectancy, behavioural intention, environmental and technological characteristics were significant for the adoption of data warehouse (DW). The framework developed by this study will act as a baseline in implementing DW, hence helping government departments to avoid having failed DW projects. This framework also provides a baseline for researches of technology adoption not only in government departments but also in other organizations.