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

Trieu, Van-Hau and Burton-Jones, Andrew and Green, Peter and Cockcroft, Sophie ORCID: https://orcid.org/0000-0002-6033-0947 (2022) Applying and extending the theory of effective use in a business intelligence context. MIS Quarterly, 46 (1). pp. 645-678. ISSN 0276-7783

[img]
Preview
Text (Submitted Version)
Theory of Effective use in a BI context Manuscript-Final.pdf

Download (962kB) | Preview

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.


Statistics for USQ ePrint 41823
Statistics for this ePrint Item
Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Business (18 Jan 2021 -)
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Business (18 Jan 2021 -)
Date Deposited: 30 Mar 2022 01:12
Last Modified: 19 Sep 2022 06:04
Uncontrolled Keywords: effective use, business intelligence, organizational resources, survey, interviews
Fields of Research (2008): 08 Information and Computing Sciences > 0806 Information Systems > 080605 Decision Support and Group Support Systems
08 Information and Computing Sciences > 0806 Information Systems > 080611 Information Systems Theory
Fields of Research (2020): 35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3503 Business systems in context > 350303 Business information systems
35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3503 Business systems in context > 350301 Business analytics
Socio-Economic Objectives (2008): B Economic Development > 89 Information and Communication Services > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified
Socio-Economic Objectives (2020): 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220408 Information systems
Identification Number or DOI: doi:10.25300/MISQ/2022/14880
URI: http://eprints.usq.edu.au/id/eprint/41823

Actions (login required)

View Item Archive Repository Staff Only