Close menu


Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

A Model-Driven Method for the Systematic Literature Review of Qualitative Empirical Research

Oates, B.J., Edwards, Helen and Wainwright, D.W. (2012) A Model-Driven Method for the Systematic Literature Review of Qualitative Empirical Research. In: 2012 International Conference on Information Systems (ICIS2012), 16 - 19 Dec 2012, Orlando. Florida.

Item Type: Conference or Workshop Item (Paper)


This paper explores a new model-driven method for systematic literature reviews (SLRs), for use where the empirical studies found in the literature search are based on qualitative research. SLRs are an important component of the evidence-based practice (EBP) paradigm, which is receiving increasing attention in information systems (IS) but has not yet been widely-adopted. We illustrate the model-driven approach to SLRs via an example focused on the use of BPMN (Business Process Modelling Notation) in organizations. We discuss in detail the process followed in using the model-driven SLR method, and show how it is based on a hermeneutic cycle of reading and interpreting, in order to develop and
refine a model which synthesizes the research findings of qualitative studies. This study can serve as an exemplar for other researchers wishing to carry out model-driven SLRs. We conclude with our reflections on the method and some suggestions for further research.

[img] PDF
FINAL_pdf_version.PDF - Accepted Version
Restricted to Registered users only

Download (843kB) | Request a copy

More Information

Uncontrolled Keywords: systematic literature review, evidence-based practice, qualitative research, BPMN
Depositing User: Helen Edwards


Item ID: 3183
Official URL:

Users with ORCIDS

Catalogue record

Date Deposited: 05 Nov 2012 09:12
Last Modified: 02 Jul 2019 09:06


Author: B.J. Oates
Author: Helen Edwards
Author: D.W. Wainwright

University Divisions

Faculty of Technology > School of Computer Science


Computing > Information Systems

Actions (login required)

View Item View Item