Details of the analytic hierarchy process technique for the evaluation of health insurance companies

Detalhes bibliográficos
Autor(a) principal: Wollmann,Dewey
Data de Publicação: 2014
Outros Autores: Steiner,Maria Teresinha Arns, Vieira,Guilherme Ernani, Steiner,Patrícia Arns
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Production
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132014000300008
Resumo: One of the most important features to be considered by health service providers when developing and promoting their products (or services) is the consumers' perception of their products' (services') attributes. The purpose of this study is to define the hierarchy for the attributes of services developed by major health plan operators in the city of Curitiba (PR) as perceived their consumers. The classical analytical hierarchy process (AHP) technique, a multicriteria tool for decision analysis and planning, was used to analyze seven companies and six attributes of each of them. The results show that the most meaningful attribute for health service consumers is the "price" and that companies can be separated into the following groups: HP1 and HP2 (Health Plans 1 and 2, with approximately 23% and 19% of consumers preferring each one) and HP3, HP4, HP5, HP6 and HP7 (with approximately 10% of consumers preferring each). Based on the results for each attribute analyzed, the conditions exist for the companies to redefine their structures, processes, prices, and service providers to reach their target customers.
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spelling Details of the analytic hierarchy process technique for the evaluation of health insurance companiesAHP processHealth service operators' attributesConsumers' perceptionsOne of the most important features to be considered by health service providers when developing and promoting their products (or services) is the consumers' perception of their products' (services') attributes. The purpose of this study is to define the hierarchy for the attributes of services developed by major health plan operators in the city of Curitiba (PR) as perceived their consumers. The classical analytical hierarchy process (AHP) technique, a multicriteria tool for decision analysis and planning, was used to analyze seven companies and six attributes of each of them. The results show that the most meaningful attribute for health service consumers is the "price" and that companies can be separated into the following groups: HP1 and HP2 (Health Plans 1 and 2, with approximately 23% and 19% of consumers preferring each one) and HP3, HP4, HP5, HP6 and HP7 (with approximately 10% of consumers preferring each). Based on the results for each attribute analyzed, the conditions exist for the companies to redefine their structures, processes, prices, and service providers to reach their target customers.Associação Brasileira de Engenharia de Produção2014-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132014000300008Production v.24 n.3 2014reponame:Productioninstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPRO10.1590/S0103-65132013005000070info:eu-repo/semantics/openAccessWollmann,DeweySteiner,Maria Teresinha ArnsVieira,Guilherme ErnaniSteiner,Patrícia Arnseng2014-07-17T00:00:00Zoai:scielo:S0103-65132014000300008Revistahttps://www.scielo.br/j/prod/https://old.scielo.br/oai/scielo-oai.php||production@editoracubo.com.br1980-54110103-6513opendoar:2014-07-17T00:00Production - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv Details of the analytic hierarchy process technique for the evaluation of health insurance companies
title Details of the analytic hierarchy process technique for the evaluation of health insurance companies
spellingShingle Details of the analytic hierarchy process technique for the evaluation of health insurance companies
Wollmann,Dewey
AHP process
Health service operators' attributes
Consumers' perceptions
title_short Details of the analytic hierarchy process technique for the evaluation of health insurance companies
title_full Details of the analytic hierarchy process technique for the evaluation of health insurance companies
title_fullStr Details of the analytic hierarchy process technique for the evaluation of health insurance companies
title_full_unstemmed Details of the analytic hierarchy process technique for the evaluation of health insurance companies
title_sort Details of the analytic hierarchy process technique for the evaluation of health insurance companies
author Wollmann,Dewey
author_facet Wollmann,Dewey
Steiner,Maria Teresinha Arns
Vieira,Guilherme Ernani
Steiner,Patrícia Arns
author_role author
author2 Steiner,Maria Teresinha Arns
Vieira,Guilherme Ernani
Steiner,Patrícia Arns
author2_role author
author
author
dc.contributor.author.fl_str_mv Wollmann,Dewey
Steiner,Maria Teresinha Arns
Vieira,Guilherme Ernani
Steiner,Patrícia Arns
dc.subject.por.fl_str_mv AHP process
Health service operators' attributes
Consumers' perceptions
topic AHP process
Health service operators' attributes
Consumers' perceptions
description One of the most important features to be considered by health service providers when developing and promoting their products (or services) is the consumers' perception of their products' (services') attributes. The purpose of this study is to define the hierarchy for the attributes of services developed by major health plan operators in the city of Curitiba (PR) as perceived their consumers. The classical analytical hierarchy process (AHP) technique, a multicriteria tool for decision analysis and planning, was used to analyze seven companies and six attributes of each of them. The results show that the most meaningful attribute for health service consumers is the "price" and that companies can be separated into the following groups: HP1 and HP2 (Health Plans 1 and 2, with approximately 23% and 19% of consumers preferring each one) and HP3, HP4, HP5, HP6 and HP7 (with approximately 10% of consumers preferring each). Based on the results for each attribute analyzed, the conditions exist for the companies to redefine their structures, processes, prices, and service providers to reach their target customers.
publishDate 2014
dc.date.none.fl_str_mv 2014-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132014000300008
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132014000300008
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-65132013005000070
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
dc.source.none.fl_str_mv Production v.24 n.3 2014
reponame:Production
instname:Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron:ABEPRO
instname_str Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron_str ABEPRO
institution ABEPRO
reponame_str Production
collection Production
repository.name.fl_str_mv Production - Associação Brasileira de Engenharia de Produção (ABEPRO)
repository.mail.fl_str_mv ||production@editoracubo.com.br
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