从IT实现理解组织转型:看结构理论

Linying Dong, Thilini R. Ariyachandra
{"title":"从IT实现理解组织转型:看结构理论","authors":"Linying Dong, Thilini R. Ariyachandra","doi":"10.4018/978-1-60566-172-8.CH017","DOIUrl":null,"url":null,"abstract":"Past evidence suggests that organizational transformation from IT implementations is rare. Data warehousing promises to be one advanced information technology that could produce transformation. Based on the stages of growth theory and adaptive structuration theory (AST), this paper attempts to understand how data warehousing could lead to organizational transformation by studying a data warehouse’s growth in an organization. In particular, the benchmark variables for data warehousing stages of growth are examined using adaptive structuration theory to explain organizational transformation that takes account into unique organizational situations.","PeriodicalId":93486,"journal":{"name":"Proceedings of the ... Americas Conference on Information Systems. Americas Conference on Information Systems","volume":"2020 1","pages":"236"},"PeriodicalIF":0.0000,"publicationDate":"2007-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Understanding Organizational Transformation from IT Implementations: A Look at Structuration Theory\",\"authors\":\"Linying Dong, Thilini R. Ariyachandra\",\"doi\":\"10.4018/978-1-60566-172-8.CH017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Past evidence suggests that organizational transformation from IT implementations is rare. Data warehousing promises to be one advanced information technology that could produce transformation. Based on the stages of growth theory and adaptive structuration theory (AST), this paper attempts to understand how data warehousing could lead to organizational transformation by studying a data warehouse’s growth in an organization. In particular, the benchmark variables for data warehousing stages of growth are examined using adaptive structuration theory to explain organizational transformation that takes account into unique organizational situations.\",\"PeriodicalId\":93486,\"journal\":{\"name\":\"Proceedings of the ... Americas Conference on Information Systems. Americas Conference on Information Systems\",\"volume\":\"2020 1\",\"pages\":\"236\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ... Americas Conference on Information Systems. Americas Conference on Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/978-1-60566-172-8.CH017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ... Americas Conference on Information Systems. Americas Conference on Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-60566-172-8.CH017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

过去的证据表明,从IT实现的组织转换是罕见的。数据仓库有望成为一种能够带来变革的先进信息技术。基于成长阶段理论和适应性结构理论(AST),本文试图通过研究数据仓库在组织中的成长来理解数据仓库如何导致组织转型。特别是,数据仓库成长阶段的基准变量使用自适应结构理论进行检查,以解释考虑到独特组织情况的组织转型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding Organizational Transformation from IT Implementations: A Look at Structuration Theory
Past evidence suggests that organizational transformation from IT implementations is rare. Data warehousing promises to be one advanced information technology that could produce transformation. Based on the stages of growth theory and adaptive structuration theory (AST), this paper attempts to understand how data warehousing could lead to organizational transformation by studying a data warehouse’s growth in an organization. In particular, the benchmark variables for data warehousing stages of growth are examined using adaptive structuration theory to explain organizational transformation that takes account into unique organizational situations.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信