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dc.contributor.authorOlsen, Ken_US
dc.contributor.authorLidegaard, Men_US
dc.contributor.authorLegg, Sen_US
dc.date.accessioned2020-03-06T03:06:43Z
dc.date.available2019-01-01en_US
dc.date.available2020-03-06T03:06:43Z
dc.date.issued2019-01-01en_US
dc.identifier.citationAdvances in Intelligent Systems and Computing, 2019, 821 pp. 286 - 296en_US
dc.identifier.isbn9783319960791en_US
dc.identifier.issn2194-5357en_US
dc.identifier.urihttp://hdl.handle.net/10179/15256
dc.descriptionThis is a post-peer-review, pre-copyedit version of an article published in Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-319-96080-7_33en_US
dc.description.abstract© 2019, Springer Nature Switzerland AG. When evaluating national work environment initiatives, it is important to choose methods through which it is possible to gather necessary and relevant information in a time efficient way for researchers and involved organisations. This article evaluates the usefulness of chronicle workshops as a data collection method to help assess the effectiveness of national work environment initiatives aiming to create interventions in organisations. Chronicle Workshops were used as one of three methods in case studies evaluating a national guideline on moving and handling people. Chronicle workshops were found to be an efficient method to identify specific interventions, when they occurred, who had been instrumental in implementing them, what contextual factors had influenced the intervention and factors facilitating and hindering intervention. They lacked specificity on individual strategies and why these did or did not work. Thus Chronicle workshops are good at creating an overview of implementation efforts but need to be supplemented with other methods to gain more detailed information.en_US
dc.format.extent286 - 296en_US
dc.titleChronicle Workshops as Data Collection Method in Evaluation of National Work Environment Interventionen_US
dc.typeConference Paper
dc.citation.volume821en_US
dc.identifier.doi10.1007/978-3-319-96080-7_33en_US
dc.identifier.elements-id415891
dc.relation.isPartOfAdvances in Intelligent Systems and Computingen_US
dc.description.publication-statusPublisheden_US
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Health
pubs.organisational-group/Massey University/College of Health/School of Public Health
dc.identifier.harvestedMassey_Dark
pubs.notesNot knownen_US


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