The literature suggests that research on technology adoption in organizations is fragmented and inconsistent. In addition, a comprehensive framework is missing to guide research for academics and decision making for managers. Adding the late advent of open source software with high interest for commercial applications the situation becomes even worse. Being even more specific and narrowing our scope to open source databases we can readily conclude that such research is practically non-existent. Databases constitute the cornerstone of information systems in organizations at the basic transactional-operational level and further up at the tactical and strategic levels with OLAP and data mining applications. The aim of this paper is to take the TOE framework, expanded with new constructs, and enrich it to produce a model that can be used both for further research and by practitioners. In doing so, a comprehensive view of the key issues in the literature is presented with details about pitfalls and points of focus that the researcher should not overlook.
|School:||State University of New York at Albany|
|School Location:||United States -- New York|
|Source:||DAI-A 68/12, Dissertation Abstracts International|
|Subjects:||Management, Information science|
|Keywords:||Databases, Factor models, Open source, Technology adoption|
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