Clusters and the Context for Competitive Advantage: a Strategic Analysis of the Engineering & Tooling Cluster
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Comum do Brasil - Deposita |
Texto Completo: | https://deposita.ibict.br/handle/deposita/112 |
Resumo: | This dissertation illustrates an empirical application of Porter’s (1990, 2004) Diamond Model using the Partial Least Squares Structural Equation Modelling (PLS-SEM; Wold, 1975, 1982) method in order to assess the effects of the microeconomic business environment on firms’ competitive advantage and the government’s supportive role in improving such an environment. It follows a concurrent triangulation design and takes firms in the Portuguese Engineering & Tooling cluster as the basic unit of analysis. The findings from the path analysis derive from a total number of 168 questionnaire responses obtained from firms in the cluster, which were subsequently triangulated with secondary data and interviews conducted with several cluster stakeholders. These findings reveal a positive effect of the related and supporting industries, the context for firm strategy and rivalry, and the factor (input) conditions at the cluster level on firms’ competitive advantage. Government action has also been shown to have a positive effect on the four determinants of the Diamond Model. Conversely, respondents’ perceptions do not support a positive effect of the demand conditions at the cluster level on firms’ competitive advantage. The positive and negative effects of the Engineering & Tooling cluster’s environment on the competitive edge of firms highlight the catalytic roles of the government and collective action in cluster upgrading. |
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Clusters and the Context for Competitive Advantage: a Strategic Analysis of the Engineering & Tooling ClusterClusters e o Contexto para a Vantagem Competitiva: uma Análise Estratégica do Cluster Engineering & ToolingClusterCluster Engineering & ToolingCluster PoliciesCompetitive AdvantageVentaja CompetitivaPolíticas de ClustersModelo del DiamanteModelación de Ecuaciones Estructurales con Mínimos Cuadrados Parciales (PLS-SEM)Políticas de ClusterizaçãoVantagem CompetitivaModelo do DiamanteInvestigação por Métodos MistosModelação de Equações Estruturais com base nos Mínimos Quadrados Parciais (PLS-SEM)Investigación de Métodos MixtosEconomia IndustrialThis dissertation illustrates an empirical application of Porter’s (1990, 2004) Diamond Model using the Partial Least Squares Structural Equation Modelling (PLS-SEM; Wold, 1975, 1982) method in order to assess the effects of the microeconomic business environment on firms’ competitive advantage and the government’s supportive role in improving such an environment. It follows a concurrent triangulation design and takes firms in the Portuguese Engineering & Tooling cluster as the basic unit of analysis. The findings from the path analysis derive from a total number of 168 questionnaire responses obtained from firms in the cluster, which were subsequently triangulated with secondary data and interviews conducted with several cluster stakeholders. These findings reveal a positive effect of the related and supporting industries, the context for firm strategy and rivalry, and the factor (input) conditions at the cluster level on firms’ competitive advantage. Government action has also been shown to have a positive effect on the four determinants of the Diamond Model. Conversely, respondents’ perceptions do not support a positive effect of the demand conditions at the cluster level on firms’ competitive advantage. The positive and negative effects of the Engineering & Tooling cluster’s environment on the competitive edge of firms highlight the catalytic roles of the government and collective action in cluster upgrading.A presente dissertação ilustra uma aplicação empírica do Modelo do Diamante de Porter (1990, 2004) recorrendo ao método de modelação de equações estruturais com base nos mínimos quadrados parciais (PLS-SEM; Wold, 1975, 1982), com vista a avaliar os efeitos da envolvente microeconómica na vantagem competitiva das empresas e do apoio governamental na melhoria desta envolvente. A investigação adota um design de triangulação simultânea e toma como unidade de análise as empresas do cluster Engineering & Tooling. Os resultados da análise de equações estruturais (path analysis) decorrem de um número total de 168 de respostas obtidas através de um questionário dirigido às empresas do cluster, os quais foram subsequentemente triangulados com dados secundários e entrevistas realizadas com vários intervenientes do cluster. Estes resultados revelam um efeito positivo tanto das indústrias relacionadas e de suporte, como do contexto para a estratégia e rivalidade empresarial, e das condições de fatores ao nível do cluster na vantagem competitiva das empresas. Também foi demonstrado que a ação do governo tem um efeito positivo nos quatro fatores determinantes do Modelo do Diamante. Contrariamente, as perceções dos respondentes não suportam um efeito positivo das condições da procura do cluster na vantagem competitiva empresarial. Os efeitos positivos e negativos da envolvente do cluster Engineering & Tooling na vantagem competitiva das empresas realçam o papel catalisador do governo e da ação coletiva na melhoria das condições do cluster.La presente disertación ilustra una aplicación empírica del Modelo del Diamante de Porter (1990, 2004) recurriendo al método de modelación de ecuaciones estructurales con mínimos cuadrados parciales (PLS-SEM; Wold, 1975, 1982), con el objetivo de evaluar los efectos del contexto microeconómico en la ventaja competitiva de las empresas y del apoyo gubernamental en la mejora de dicho contexto. La investigación adopta un diseño de triangulación simultánea y toma como unidad de análisis las empresas del cluster Engineering & Tooling. Los resultados del análisis de ecuaciones estructurales (path analysis) provienen de un número total de 168 respuestas obtenidas a través de un cuestionario dirigido a las empresas del cluster, los cuales fueron subsecuentemente triangulados con datos secundarios y entrevistas realizadas a varios integrantes del cluster. Estos resultados revelan un efecto positivo tanto de las industrias relacionadas y de soporte, como del contexto para la estrategia y rivalidad empresarial, y de las condiciones de factores a nivel del cluster en la ventaja competitiva de las empresas. También fue demostrado que la acción del gobierno tiene un efecto positivo en los cuatro factores determinantes del Modelo del Diamante. Por el contrario, las percepciones de los encuestados no corroboran un efecto positivo de las condiciones de demanda del cluster en la ventaja competitiva empresarial. Los efectos positivos y negativos del contexto del cluster Engineering & Tooling en la ventaja competitiva de las empresas destacan el rol catalizador del gobierno y de la acción colectiva en la mejora de las condiciones del cluster.ISEG - Lisbon School of Economics and ManagementISEG - Lisbon School of Economics and Management, University of LisbonPortugalManagement and Industrial StrategyAndrez, Jaime SerrãoLaranja, ManuelMamede, Ricardo PaesNeto, Luís2020-07-16T15:13:04Z2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://deposita.ibict.br/handle/deposita/112enghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessreponame:Repositório Comum do Brasil - Depositainstname:Instituto Brasileiro de Informação em Ciência e Tecnologia (IBICT)instacron:IBICT2020-07-16T15:13:05Zoai:https://deposita.ibict.br:deposita/112Repositório ComumPUBhttp://deposita.ibict.br/oai/requestdeposita@ibict.bropendoar:46582020-07-16T15:13:05Repositório Comum do Brasil - Deposita - Instituto Brasileiro de Informação em Ciência e Tecnologia (IBICT)false |
dc.title.none.fl_str_mv |
Clusters and the Context for Competitive Advantage: a Strategic Analysis of the Engineering & Tooling Cluster Clusters e o Contexto para a Vantagem Competitiva: uma Análise Estratégica do Cluster Engineering & Tooling |
title |
Clusters and the Context for Competitive Advantage: a Strategic Analysis of the Engineering & Tooling Cluster |
spellingShingle |
Clusters and the Context for Competitive Advantage: a Strategic Analysis of the Engineering & Tooling Cluster Neto, Luís Cluster Cluster Engineering & Tooling Cluster Policies Competitive Advantage Ventaja Competitiva Políticas de Clusters Modelo del Diamante Modelación de Ecuaciones Estructurales con Mínimos Cuadrados Parciales (PLS-SEM) Políticas de Clusterização Vantagem Competitiva Modelo do Diamante Investigação por Métodos Mistos Modelação de Equações Estruturais com base nos Mínimos Quadrados Parciais (PLS-SEM) Investigación de Métodos Mixtos Economia Industrial |
title_short |
Clusters and the Context for Competitive Advantage: a Strategic Analysis of the Engineering & Tooling Cluster |
title_full |
Clusters and the Context for Competitive Advantage: a Strategic Analysis of the Engineering & Tooling Cluster |
title_fullStr |
Clusters and the Context for Competitive Advantage: a Strategic Analysis of the Engineering & Tooling Cluster |
title_full_unstemmed |
Clusters and the Context for Competitive Advantage: a Strategic Analysis of the Engineering & Tooling Cluster |
title_sort |
Clusters and the Context for Competitive Advantage: a Strategic Analysis of the Engineering & Tooling Cluster |
author |
Neto, Luís |
author_facet |
Neto, Luís |
author_role |
author |
dc.contributor.none.fl_str_mv |
Andrez, Jaime Serrão Laranja, Manuel Mamede, Ricardo Paes |
dc.contributor.author.fl_str_mv |
Neto, Luís |
dc.subject.por.fl_str_mv |
Cluster Cluster Engineering & Tooling Cluster Policies Competitive Advantage Ventaja Competitiva Políticas de Clusters Modelo del Diamante Modelación de Ecuaciones Estructurales con Mínimos Cuadrados Parciales (PLS-SEM) Políticas de Clusterização Vantagem Competitiva Modelo do Diamante Investigação por Métodos Mistos Modelação de Equações Estruturais com base nos Mínimos Quadrados Parciais (PLS-SEM) Investigación de Métodos Mixtos Economia Industrial |
topic |
Cluster Cluster Engineering & Tooling Cluster Policies Competitive Advantage Ventaja Competitiva Políticas de Clusters Modelo del Diamante Modelación de Ecuaciones Estructurales con Mínimos Cuadrados Parciales (PLS-SEM) Políticas de Clusterização Vantagem Competitiva Modelo do Diamante Investigação por Métodos Mistos Modelação de Equações Estruturais com base nos Mínimos Quadrados Parciais (PLS-SEM) Investigación de Métodos Mixtos Economia Industrial |
description |
This dissertation illustrates an empirical application of Porter’s (1990, 2004) Diamond Model using the Partial Least Squares Structural Equation Modelling (PLS-SEM; Wold, 1975, 1982) method in order to assess the effects of the microeconomic business environment on firms’ competitive advantage and the government’s supportive role in improving such an environment. It follows a concurrent triangulation design and takes firms in the Portuguese Engineering & Tooling cluster as the basic unit of analysis. The findings from the path analysis derive from a total number of 168 questionnaire responses obtained from firms in the cluster, which were subsequently triangulated with secondary data and interviews conducted with several cluster stakeholders. These findings reveal a positive effect of the related and supporting industries, the context for firm strategy and rivalry, and the factor (input) conditions at the cluster level on firms’ competitive advantage. Government action has also been shown to have a positive effect on the four determinants of the Diamond Model. Conversely, respondents’ perceptions do not support a positive effect of the demand conditions at the cluster level on firms’ competitive advantage. The positive and negative effects of the Engineering & Tooling cluster’s environment on the competitive edge of firms highlight the catalytic roles of the government and collective action in cluster upgrading. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 2020-07-16T15:13:04Z |
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 |
https://deposita.ibict.br/handle/deposita/112 |
url |
https://deposita.ibict.br/handle/deposita/112 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
ISEG - Lisbon School of Economics and Management ISEG - Lisbon School of Economics and Management, University of Lisbon Portugal Management and Industrial Strategy |
publisher.none.fl_str_mv |
ISEG - Lisbon School of Economics and Management ISEG - Lisbon School of Economics and Management, University of Lisbon Portugal Management and Industrial Strategy |
dc.source.none.fl_str_mv |
reponame:Repositório Comum do Brasil - Deposita instname:Instituto Brasileiro de Informação em Ciência e Tecnologia (IBICT) instacron:IBICT |
instname_str |
Instituto Brasileiro de Informação em Ciência e Tecnologia (IBICT) |
instacron_str |
IBICT |
institution |
IBICT |
reponame_str |
Repositório Comum do Brasil - Deposita |
collection |
Repositório Comum do Brasil - Deposita |
repository.name.fl_str_mv |
Repositório Comum do Brasil - Deposita - Instituto Brasileiro de Informação em Ciência e Tecnologia (IBICT) |
repository.mail.fl_str_mv |
deposita@ibict.br |
_version_ |
1801753545822699520 |