Ranking new comers to work based on commitment propensity through hybrid method of AHP and TOPSIS
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.24425/119549 |
Resumo: | This research provides a tool to select and prioritize new comers to work based on their pre-entry organizational commitment propensity through examining links between the big five personality factors: extroversion, agreeableness, conscientiousness, neuroticism, openness; and three component model of organizational commitment: affective commitment, continues commitment, normative commitment. Findings show that extroversion and openness respectively have positive and negative effects on all three components of organizational commitment. Results gained by Structured Equation Modelling (SEM) indicate neuroticism is negatively related to affective and continues commitment and positively to conscientiousness effects on continues commitment. In the second part of the study, the received results are applied to extract the general equations that enables to estimate new comer’s pre-entry organizational commitment and to rank them using TOPSIS and AHP. The AHP is used to determine the relative weights of commitment criteria and TOPSIS is employed for the final ranking of new comers based on these criteria’s. |
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Ranking new comers to work based on commitment propensity through hybrid method of AHP and TOPSISAHPOrganizational commitmentPersonality traitsStructural Equation ModellingTOPSISBusiness and International ManagementManagement Science and Operations ResearchOrganizational Behavior and Human Resource ManagementIndustrial and Manufacturing EngineeringManagement of Technology and InnovationSDG 9 - Industry, Innovation, and InfrastructureThis research provides a tool to select and prioritize new comers to work based on their pre-entry organizational commitment propensity through examining links between the big five personality factors: extroversion, agreeableness, conscientiousness, neuroticism, openness; and three component model of organizational commitment: affective commitment, continues commitment, normative commitment. Findings show that extroversion and openness respectively have positive and negative effects on all three components of organizational commitment. Results gained by Structured Equation Modelling (SEM) indicate neuroticism is negatively related to affective and continues commitment and positively to conscientiousness effects on continues commitment. In the second part of the study, the received results are applied to extract the general equations that enables to estimate new comer’s pre-entry organizational commitment and to rank them using TOPSIS and AHP. The AHP is used to determine the relative weights of commitment criteria and TOPSIS is employed for the final ranking of new comers based on these criteria’s.DEMI - Departamento de Engenharia Mecânica e IndustrialUNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e IndustrialRUNSafari, HosseinCabrita, Maria do RosárioHesan, MaryamMaleki, MeysamMirzaeirabore, Fatemeh2019-05-31T22:19:31Z2018-12-012018-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10application/pdfhttps://doi.org/10.24425/119549eng2080-8208PURE: 13344835http://www.scopus.com/inward/record.url?scp=85061124981&partnerID=8YFLogxKhttps://doi.org/10.24425/119549info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:33:40Zoai:run.unl.pt:10362/71392Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:35:12.718795Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Ranking new comers to work based on commitment propensity through hybrid method of AHP and TOPSIS |
title |
Ranking new comers to work based on commitment propensity through hybrid method of AHP and TOPSIS |
spellingShingle |
Ranking new comers to work based on commitment propensity through hybrid method of AHP and TOPSIS Safari, Hossein AHP Organizational commitment Personality traits Structural Equation Modelling TOPSIS Business and International Management Management Science and Operations Research Organizational Behavior and Human Resource Management Industrial and Manufacturing Engineering Management of Technology and Innovation SDG 9 - Industry, Innovation, and Infrastructure |
title_short |
Ranking new comers to work based on commitment propensity through hybrid method of AHP and TOPSIS |
title_full |
Ranking new comers to work based on commitment propensity through hybrid method of AHP and TOPSIS |
title_fullStr |
Ranking new comers to work based on commitment propensity through hybrid method of AHP and TOPSIS |
title_full_unstemmed |
Ranking new comers to work based on commitment propensity through hybrid method of AHP and TOPSIS |
title_sort |
Ranking new comers to work based on commitment propensity through hybrid method of AHP and TOPSIS |
author |
Safari, Hossein |
author_facet |
Safari, Hossein Cabrita, Maria do Rosário Hesan, Maryam Maleki, Meysam Mirzaeirabore, Fatemeh |
author_role |
author |
author2 |
Cabrita, Maria do Rosário Hesan, Maryam Maleki, Meysam Mirzaeirabore, Fatemeh |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
DEMI - Departamento de Engenharia Mecânica e Industrial UNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial RUN |
dc.contributor.author.fl_str_mv |
Safari, Hossein Cabrita, Maria do Rosário Hesan, Maryam Maleki, Meysam Mirzaeirabore, Fatemeh |
dc.subject.por.fl_str_mv |
AHP Organizational commitment Personality traits Structural Equation Modelling TOPSIS Business and International Management Management Science and Operations Research Organizational Behavior and Human Resource Management Industrial and Manufacturing Engineering Management of Technology and Innovation SDG 9 - Industry, Innovation, and Infrastructure |
topic |
AHP Organizational commitment Personality traits Structural Equation Modelling TOPSIS Business and International Management Management Science and Operations Research Organizational Behavior and Human Resource Management Industrial and Manufacturing Engineering Management of Technology and Innovation SDG 9 - Industry, Innovation, and Infrastructure |
description |
This research provides a tool to select and prioritize new comers to work based on their pre-entry organizational commitment propensity through examining links between the big five personality factors: extroversion, agreeableness, conscientiousness, neuroticism, openness; and three component model of organizational commitment: affective commitment, continues commitment, normative commitment. Findings show that extroversion and openness respectively have positive and negative effects on all three components of organizational commitment. Results gained by Structured Equation Modelling (SEM) indicate neuroticism is negatively related to affective and continues commitment and positively to conscientiousness effects on continues commitment. In the second part of the study, the received results are applied to extract the general equations that enables to estimate new comer’s pre-entry organizational commitment and to rank them using TOPSIS and AHP. The AHP is used to determine the relative weights of commitment criteria and TOPSIS is employed for the final ranking of new comers based on these criteria’s. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-01 2018-12-01T00:00:00Z 2019-05-31T22:19:31Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.24425/119549 |
url |
https://doi.org/10.24425/119549 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2080-8208 PURE: 13344835 http://www.scopus.com/inward/record.url?scp=85061124981&partnerID=8YFLogxK https://doi.org/10.24425/119549 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
10 application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799137973274411008 |