Assessing representation theory with a framework for pursuing success and failure

Burton-Jones, Andrew, Recker, Jan, Indulska, Marta, Green, Peter and Weber, Ron (2017) Assessing representation theory with a framework for pursuing success and failure. MIS Quarterly, 41 4: 1307-+.

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Name Description MIMEType Size Downloads
Author Burton-Jones, Andrew
Recker, Jan
Indulska, Marta
Green, Peter
Weber, Ron
Title Assessing representation theory with a framework for pursuing success and failure
Journal name MIS Quarterly   Check publisher's open access policy
ISSN 0276-7783
Publication date 2017-12-01
Year available 2017
Sub-type Article (original research)
Open Access Status Not yet assessed
Volume 41
Issue 4
Start page 1307
End page +
Total pages 27
Place of publication Minneapolis, MN, United States
Publisher MIS Research Center
Language eng
Subject 1404 Management Information Systems
1710 Information Systems
1706 Computer Science Applications
1802 Information Systems and Management
Abstract Representation theory (RT) is one of few long-standing, native theories in the Information Systems discipline. Over the past 30 years, RT has spawned a wide program of research, primarily on modeling of information systems but also on other phenomena such as data quality, system alignment, security, and effective system use. Nonetheless, descriptions of RT are splintered across many papers over many years. RT has also attracted repeated criticisms about assumptions, tests, and results. As a result, the nature of RT, its merits (or lack thereof), and how best to progress it, are unclear. Motivated by these issues, this paper provides a much-needed overview of RT. It further offers an evaluation of RT and explains how research on RT can improve, using a novel framework for evaluating theoretical programs. Our analysis shows that RT's merits (or lack thereof) remain inconclusive because prior research has not proceeded systematically enough. In this light, we explain and illustrate how research can proceed more systematically.
Keyword Representation theory
Research program
Literature review
Theory evaluation
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID DP110104386
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
UQ Business School Publications
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Created: Wed, 13 Sep 2017, 11:49:18 EST by Andrew Burton-jones on behalf of UQ Business School