Identifying the Key Dimensions of Employer Attractiveness: in the context of a Portuguese job market

Detalhes bibliográficos
Autor(a) principal: Ramos, Joana Filipa Costa
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/148719
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence
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spelling Identifying the Key Dimensions of Employer Attractiveness: in the context of a Portuguese job marketEmployer BrandingEmployer Branding AttributesEmployer Branding DimensionsEmployer Branding ScaleOrganization AttractivenessAttractiveness AttributesHuman ResourcesSDG 8 - Decent work and economic growthDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing IntelligenceBeing perceived as an attractive Employer is crucial for organizations that want to attract the best talent and survive job market changes. Employer Branding has emerged as a powerful tool to attract talent by managing the employer attractiveness and image of the brand. This research aims to identify the key factors that influence Employer Attractiveness and determine the dimensions that have greater importance for the perception of the desirability of an organization in a Portuguese context. By identifying these factors, companies will understand how they can influence candidates’ decision-making by integrating the essential factors into their Recruitment strategy. The investigation adopted a mixed-method approach. The dimensions identified were selected according to previous literature, and a framework developed was validated by Human Resources specialists through in-depth interviews. This framework adds value to the existing literature by integrating different perspectives, showing a new approach to this field, and as far as our knowledge this is the first academic study to apply this complementary approach and to analyse the dimensions of Employer Attractiveness in a wider audience in the Portuguese context. This study identified the existence of 12 factors that influence the desirability of a company. Additionally, an online questionnaire was conducted to potential candidates to investigate the level of importance associated with each factor. The collected data were quantitatively analyzed and treated using statistical procedures. The study’s findings show that the sense of Purpose, Leadership, Compensation and Benefits, Culture and Work Environment, and Work-Life Balance are the factors that significantly influence a company’s attractiveness. It was also concluded that the dimensions that have less impact on how attractive the company is perceived are Reputation, Innovation and Technology and Corporate Social ResponsibilityRita, Paulo Miguel Rasquinho FerreiraRodrigues, Jorge Manuel CarrolaRUNRamos, Joana Filipa Costa2023-01-242026-01-24T00:00:00Z2023-01-24T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/148719TID:203220153enginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:30:23Zoai:run.unl.pt:10362/148719Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:53:27.920048Repositório 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 Identifying the Key Dimensions of Employer Attractiveness: in the context of a Portuguese job market
title Identifying the Key Dimensions of Employer Attractiveness: in the context of a Portuguese job market
spellingShingle Identifying the Key Dimensions of Employer Attractiveness: in the context of a Portuguese job market
Ramos, Joana Filipa Costa
Employer Branding
Employer Branding Attributes
Employer Branding Dimensions
Employer Branding Scale
Organization Attractiveness
Attractiveness Attributes
Human Resources
SDG 8 - Decent work and economic growth
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
title_short Identifying the Key Dimensions of Employer Attractiveness: in the context of a Portuguese job market
title_full Identifying the Key Dimensions of Employer Attractiveness: in the context of a Portuguese job market
title_fullStr Identifying the Key Dimensions of Employer Attractiveness: in the context of a Portuguese job market
title_full_unstemmed Identifying the Key Dimensions of Employer Attractiveness: in the context of a Portuguese job market
title_sort Identifying the Key Dimensions of Employer Attractiveness: in the context of a Portuguese job market
author Ramos, Joana Filipa Costa
author_facet Ramos, Joana Filipa Costa
author_role author
dc.contributor.none.fl_str_mv Rita, Paulo Miguel Rasquinho Ferreira
Rodrigues, Jorge Manuel Carrola
RUN
dc.contributor.author.fl_str_mv Ramos, Joana Filipa Costa
dc.subject.por.fl_str_mv Employer Branding
Employer Branding Attributes
Employer Branding Dimensions
Employer Branding Scale
Organization Attractiveness
Attractiveness Attributes
Human Resources
SDG 8 - Decent work and economic growth
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
topic Employer Branding
Employer Branding Attributes
Employer Branding Dimensions
Employer Branding Scale
Organization Attractiveness
Attractiveness Attributes
Human Resources
SDG 8 - Decent work and economic growth
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence
publishDate 2023
dc.date.none.fl_str_mv 2023-01-24
2023-01-24T00:00:00Z
2026-01-24T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/148719
TID:203220153
url http://hdl.handle.net/10362/148719
identifier_str_mv TID:203220153
dc.language.iso.fl_str_mv eng
language eng
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dc.format.none.fl_str_mv 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
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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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
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