Data gathering for actor analyses: A research note on the collection and aggregation of individual respondent data for MACTOR

Detalhes bibliográficos
Autor(a) principal: Rees, Gareth H
Data de Publicação: 2017
Outros Autores: MacDonell, Stephen
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Future Studies Research Journal: Trends and Strategies
Texto Completo: https://www.revistafuture.org/FSRJ/article/view/256
Resumo: The augmentation of future studies with data on actors and their interactions is suggested as a means to reduce uncertainty and to account for extreme or unexpected future outcomes due to the involvement of multiple actors and their competing perspectives and options. In the context of New Zealand’s health workforce forecasting environment, this research note presents a systematic method to gather and aggregate actor data developed for a recent foresight study. The method identifies the issues encountered and solutions developed when gathering data from time poor respondents representing diverse and sometimes oppositional actors, and for the coding and aggregation of these data for use in LIPSOR’s actor analysis tool, MACTOR. Worked examples are provided to demonstrate the method’s application with the software.
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spelling Data gathering for actor analyses: A research note on the collection and aggregation of individual respondent data for MACTORActor analysisActor data collectionMACTORForesightHealth workforce forecastingThe augmentation of future studies with data on actors and their interactions is suggested as a means to reduce uncertainty and to account for extreme or unexpected future outcomes due to the involvement of multiple actors and their competing perspectives and options. In the context of New Zealand’s health workforce forecasting environment, this research note presents a systematic method to gather and aggregate actor data developed for a recent foresight study. The method identifies the issues encountered and solutions developed when gathering data from time poor respondents representing diverse and sometimes oppositional actors, and for the coding and aggregation of these data for use in LIPSOR’s actor analysis tool, MACTOR. Worked examples are provided to demonstrate the method’s application with the software.Future Studies Research Journal: Trends and Strategies2017-01-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfhttps://www.revistafuture.org/FSRJ/article/view/25610.24023/FutureJournal/2175-5825/2017.v9i1.256Future Studies Research Journal: Trends and Strategies; Vol. 9 No. 1 (2017): Future Studies Research Journal; 115-137Future Studies Research Journal: Trends and Strategies [FSRJ]; v. 9 n. 1 (2017): Future Studies Research Journal; 115-1372175-5825reponame:Future Studies Research Journal: Trends and Strategiesinstname:Fundação Instituto de Administração (FIA)instacron:FIAenghttps://www.revistafuture.org/FSRJ/article/view/256/390Copyright (c) 2017 Future Studies Research Journal: Trends and Strategiesinfo:eu-repo/semantics/openAccessRees, Gareth HMacDonell, Stephen2018-07-10T20:32:52Zoai:ojs.future.emnuvens.com.br:article/256Revistahttps://www.revistafuture.org/FSRJ/oai2175-58252175-5825opendoar:2018-07-10T20:32:52Future Studies Research Journal: Trends and Strategies - Fundação Instituto de Administração (FIA)false
dc.title.none.fl_str_mv Data gathering for actor analyses: A research note on the collection and aggregation of individual respondent data for MACTOR
title Data gathering for actor analyses: A research note on the collection and aggregation of individual respondent data for MACTOR
spellingShingle Data gathering for actor analyses: A research note on the collection and aggregation of individual respondent data for MACTOR
Rees, Gareth H
Actor analysis
Actor data collection
MACTOR
Foresight
Health workforce forecasting
title_short Data gathering for actor analyses: A research note on the collection and aggregation of individual respondent data for MACTOR
title_full Data gathering for actor analyses: A research note on the collection and aggregation of individual respondent data for MACTOR
title_fullStr Data gathering for actor analyses: A research note on the collection and aggregation of individual respondent data for MACTOR
title_full_unstemmed Data gathering for actor analyses: A research note on the collection and aggregation of individual respondent data for MACTOR
title_sort Data gathering for actor analyses: A research note on the collection and aggregation of individual respondent data for MACTOR
author Rees, Gareth H
author_facet Rees, Gareth H
MacDonell, Stephen
author_role author
author2 MacDonell, Stephen
author2_role author
dc.contributor.author.fl_str_mv Rees, Gareth H
MacDonell, Stephen
dc.subject.por.fl_str_mv Actor analysis
Actor data collection
MACTOR
Foresight
Health workforce forecasting
topic Actor analysis
Actor data collection
MACTOR
Foresight
Health workforce forecasting
description The augmentation of future studies with data on actors and their interactions is suggested as a means to reduce uncertainty and to account for extreme or unexpected future outcomes due to the involvement of multiple actors and their competing perspectives and options. In the context of New Zealand’s health workforce forecasting environment, this research note presents a systematic method to gather and aggregate actor data developed for a recent foresight study. The method identifies the issues encountered and solutions developed when gathering data from time poor respondents representing diverse and sometimes oppositional actors, and for the coding and aggregation of these data for use in LIPSOR’s actor analysis tool, MACTOR. Worked examples are provided to demonstrate the method’s application with the software.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-02
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistafuture.org/FSRJ/article/view/256
10.24023/FutureJournal/2175-5825/2017.v9i1.256
url https://www.revistafuture.org/FSRJ/article/view/256
identifier_str_mv 10.24023/FutureJournal/2175-5825/2017.v9i1.256
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistafuture.org/FSRJ/article/view/256/390
dc.rights.driver.fl_str_mv Copyright (c) 2017 Future Studies Research Journal: Trends and Strategies
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Future Studies Research Journal: Trends and Strategies
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Future Studies Research Journal: Trends and Strategies
publisher.none.fl_str_mv Future Studies Research Journal: Trends and Strategies
dc.source.none.fl_str_mv Future Studies Research Journal: Trends and Strategies; Vol. 9 No. 1 (2017): Future Studies Research Journal; 115-137
Future Studies Research Journal: Trends and Strategies [FSRJ]; v. 9 n. 1 (2017): Future Studies Research Journal; 115-137
2175-5825
reponame:Future Studies Research Journal: Trends and Strategies
instname:Fundação Instituto de Administração (FIA)
instacron:FIA
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reponame_str Future Studies Research Journal: Trends and Strategies
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