Data gathering for actor analyses: A research note on the collection and aggregation of individual respondent data for MACTOR
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | |
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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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 |
instname_str |
Fundação Instituto de Administração (FIA) |
instacron_str |
FIA |
institution |
FIA |
reponame_str |
Future Studies Research Journal: Trends and Strategies |
collection |
Future Studies Research Journal: Trends and Strategies |
repository.name.fl_str_mv |
Future Studies Research Journal: Trends and Strategies - Fundação Instituto de Administração (FIA) |
repository.mail.fl_str_mv |
|
_version_ |
1808843617025916928 |