Change search
ReferencesLink to record
Permanent link

Direct link
Ergonomics action research I: shifting from hypothesis testing to experiential learning
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Work Science.
2012 (English)In: Ergonomics, ISSN 0014-0139, E-ISSN 1366-5847, Vol. 55, no 10, 1127-1139 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents the case for the need for 'Action Research' (AR) approaches to gain understanding of how ergonomics considerations can best be integrated into the design of new work systems. The AR researchers work collaboratively with other stakeholders to solve a real-world problem: gaining insight into the problem and factors influencing solution building from an embedded position in the development process. This experience is interpreted in terms of available theory and can support further theory development. This non-experimental approach can help provide practical new approaches for integrating ergonomics considerations into real work system design processes. The AR approach suffers from a lack of acceptance by conventionally trained scientists. This paper aims to help overcome this weakness by developing the underlying theory and rationale for using AR approaches in ergonomics research. We propose further development of hybrid approaches which incorporate other evaluation techniques to extend the knowledge gains from AR projects.

Place, publisher, year, edition, pages
2012. Vol. 55, no 10, 1127-1139 p.
Keyword [en]
proactive human factors, work system design, science methodology, ergonomics intervention research
National Category
Social Sciences Interdisciplinary
URN: urn:nbn:se:kth:diva-107640DOI: 10.1080/00140139.2012.700327ISI: 000311121200001ScopusID: 2-s2.0-84867243900OAI: diva2:578102

QC 20121218

Available from: 2012-12-17 Created: 2012-12-14 Last updated: 2012-12-17Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Ekman, Marianne
By organisation
Industrial Work Science
In the same journal
Social Sciences Interdisciplinary

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 34 hits
ReferencesLink to record
Permanent link

Direct link