Dr Giles Hindle Giles.Hindle@hull.ac.uk
Senior Lecturer and Programme Director for MSc Business Analytics
Combining problem structuring methods to conduct applied research: a mixed methods approach to studying fitness-to-drive in the UK
Hindle, G. A.; Franco, L. A.
Authors
L. A. Franco
Abstract
This paper describes a mixed methods approach using problem structuring methods to conduct applied research into fitness-to-drive arrangements within the UK Department for Transport. Computer-supported group causal mapping was used to collect and structure qualitative data from stakeholder groups concerning the delivery of medical standards on fitness-to-drive. The data were subsequently coded and analysed using the modelling language of soft systems methodology. This enabled data to be linked to the concept of a fitness-to-drive system and developed further in the form of systems models based on alternative worldviews. The paper reports on the process of developing and implementing the approach and discusses issues concerning the conduct of mixed methods research using problem structuring methods. © 2009 Operational Research Society Ltd. All rights reserved.
Citation
Hindle, G. A., & Franco, L. A. (2009). Combining problem structuring methods to conduct applied research: a mixed methods approach to studying fitness-to-drive in the UK. Journal of the Operational Research Society, 60(12), 1637-1648. https://doi.org/10.1057/jors.2008.125
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 1, 2008 |
Online Publication Date | Dec 21, 2017 |
Publication Date | Dec 1, 2009 |
Deposit Date | Nov 13, 2014 |
Journal | Journal Of The Operational Research Society |
Print ISSN | 0160-5682 |
Electronic ISSN | 1476-9360 |
Publisher | Taylor and Francis |
Peer Reviewed | Peer Reviewed |
Volume | 60 |
Issue | 12 |
Pages | 1637-1648 |
DOI | https://doi.org/10.1057/jors.2008.125 |
Keywords | Marketing; Management Science and Operations Research; Strategy and Management; Management Information Systems |
Public URL | https://hull-repository.worktribe.com/output/468030 |
Contract Date | Nov 13, 2014 |
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