Assessing Representation Theory with a framework for pursuing success and failure

Burton-Jones, Andrew, Recker, Jan, Indulska, Marta, Green, Peter, & Weber, Ron (2017) Assessing Representation Theory with a framework for pursuing success and failure. MIS Quarterly. (In Press)

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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.

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ID Code: 101800
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: representation theory, research program, literature review, theory evaluation, theory development
ISSN: 0276-7783
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Current > QUT Faculties and Divisions > QUT Business School
Current > Schools > School of Accountancy
Current > Schools > School of Management
Copyright Owner: 2017 Association for Information Systems (AIS)
Deposited On: 07 Apr 2017 00:37
Last Modified: 09 Apr 2017 21:14

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