Applying and extending the theory of effective use in a business intelligence context

Article


Trieu, Van-Hau, Burton-Jones, Andrew, Green, Peter and Cockcroft, Sophie. 2022. "Applying and extending the theory of effective use in a business intelligence context." MIS Quarterly. 46 (1), pp. 645-678. https://doi.org/10.25300/MISQ/2022/14880
Article Title

Applying and extending the theory of effective use in a business intelligence context

ERA Journal ID18070
Article CategoryArticle
AuthorsTrieu, Van-Hau (Author), Burton-Jones, Andrew (Author), Green, Peter (Author) and Cockcroft, Sophie (Author)
Journal TitleMIS Quarterly
Journal Citation46 (1), pp. 645-678
Number of Pages34
Year2022
Place of PublicationMinnesota
ISSN0276-7783
2162-9730
Digital Object Identifier (DOI)https://doi.org/10.25300/MISQ/2022/14880
Web Address (URL)https://misq.org/applying-and-extending-the-theory-of-effective-use-in-a-business-intelligence-context.html
Abstract

The benefits that organizations accrue from information systems depend on how effectively the systems are used. Yet despite the importance of knowing what it takes to use information systems effectively, little theory on the topic exists. One recent and largely untested exception is the theory of effective use (TEU). We report on a contextualization, extension, and test of TEU in the business intelligence (BI) context, a context of considerable importance in which researchers have called for such studies. We used a mixed-method, three-phase approach involving instrument development (n = 218), two-wave cross-sectional survey (n = 437), and three sets of follow-up interviews (n = 33). The paper contributes by (1) showing how TEU can be contextualized, operationalized, and extended, (2) demonstrating that many of TEU’s predictions hold in the BI context while also revealing ways to improve the theory, and (3) offering practical insights executives can draw on to improve use of BI in their organizations.

Keywordseffective use, business intelligence, organizational resources, survey, interviews
ANZSRC Field of Research 2020350303. Business information systems
350301. Business analytics
Byline AffiliationsDeakin University
University of Queensland
Queensland University of Technology
School of Business
Institution of OriginUniversity of Southern Queensland
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