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Understanding Organizational Transformation from IT Implementations: A Look at Structuration Theory

Understanding Organizational Transformation from IT Implementations: A Look at Structuration Theory
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Author(s): T. Ariyachandra (Xavier University, USA)and L. Dong (Ryerson University, Canada)
Copyright: 2009
Pages: 17
Source title: Advanced Principles for Improving Database Design, Systems Modeling, and Software Development
Source Author(s)/Editor(s): Keng Siau (City University of Hong Kong, Hong Kong SAR)and John Erickson (University of Nebraska, Omaha, USA)
DOI: 10.4018/978-1-60566-172-8.ch017

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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.

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