Going Down Memory Lane in the Application of Ajzen’s Theory of Planned Behaviour Model to Measure Entrepreneurial Intention: An Sem-Pls Approach

Undoubtedly, technical education is the backbone of every nation’s growth and development. Understanding and predicting business creation initiatives demand empirical studies using theory-oriented models that appropriately mirror the multi-faceted perception-based processes underlying entrepreneuria...

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Autores: Amofah, Kwaku, Saladrigues Solé, Ramon
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10459.1/71880
Acceso en línea:https://doi.org/10.32479/irmm.9814
http://hdl.handle.net/10459.1/71880
Access Level:acceso abierto
Palabra clave:Entrepreneurial Intentions
Partial Least Square
Theory of Planned Behaviour
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spelling Going Down Memory Lane in the Application of Ajzen’s Theory of Planned Behaviour Model to Measure Entrepreneurial Intention: An Sem-Pls ApproachAmofah, KwakuSaladrigues Solé, RamonEntrepreneurial IntentionsPartial Least SquareTheory of Planned BehaviourUndoubtedly, technical education is the backbone of every nation’s growth and development. Understanding and predicting business creation initiatives demand empirical studies using theory-oriented models that appropriately mirror the multi-faceted perception-based processes underlying entrepreneurial intentional and behaviour. Drawing on a model adapted from a study by Linan and Chen (2009), and based on the Theory of Planned Behaviour (TPB) by Ajzen, this article empirically investigates the influence of Perceived Behavioural Control, Subjective Norm and Attitude towards Entrepreneurship, on Entrepreneurial Intention using Structural Equation Modelling (SEM) – Smart Partial Least Square (PLS) approach. In addition, several hypotheses (demographic-oriented variables) in relation to TPB are investigated. Data were collected on 574 students from a public technical university in Ghana. The findings suggest that TPB is an important tool for predicting entrepreneurial intentions. Thus, the findings support the TPB for EI in Ghana. Two motivational factors (Attitude towards Entrepreneurship and Planned Behavioural Control) related to EI, but SN showed a non-significant association with EI. This study also found SN positively affecting attitude toward entrepreneurship and perceived behavioural control. However, only one (PSE-SN relationship) of the demographic-based hypotheses was significant. This study, however, cautions against the generalizability of the findings as the sample size comprises of students from a single institution. One of the theoretical implications of our study relates to evidence of the consistency of the theory of planned behavior in explaining entrepreneurial intention in the Ghanaian context. Future studies could replicate this research by sampling more technical universities in Ghana and other settings.EconJournals202120212020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.32479/irmm.9814http://hdl.handle.net/10459.1/71880http://hdl.handle.net/10459.1/71880reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a https://doi.org/10.32479/irmm.9814International Review of Management and Marketing, 2020, vol. 10, núm. 3, p. 110-121cc-by (c) Kwaku Amofah, Ramon Saladrigues, 2020info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:recercat.cat:10459.1/718802026-05-29T05:05:01Z
dc.title.none.fl_str_mv Going Down Memory Lane in the Application of Ajzen’s Theory of Planned Behaviour Model to Measure Entrepreneurial Intention: An Sem-Pls Approach
title Going Down Memory Lane in the Application of Ajzen’s Theory of Planned Behaviour Model to Measure Entrepreneurial Intention: An Sem-Pls Approach
spellingShingle Going Down Memory Lane in the Application of Ajzen’s Theory of Planned Behaviour Model to Measure Entrepreneurial Intention: An Sem-Pls Approach
Amofah, Kwaku
Entrepreneurial Intentions
Partial Least Square
Theory of Planned Behaviour
title_short Going Down Memory Lane in the Application of Ajzen’s Theory of Planned Behaviour Model to Measure Entrepreneurial Intention: An Sem-Pls Approach
title_full Going Down Memory Lane in the Application of Ajzen’s Theory of Planned Behaviour Model to Measure Entrepreneurial Intention: An Sem-Pls Approach
title_fullStr Going Down Memory Lane in the Application of Ajzen’s Theory of Planned Behaviour Model to Measure Entrepreneurial Intention: An Sem-Pls Approach
title_full_unstemmed Going Down Memory Lane in the Application of Ajzen’s Theory of Planned Behaviour Model to Measure Entrepreneurial Intention: An Sem-Pls Approach
title_sort Going Down Memory Lane in the Application of Ajzen’s Theory of Planned Behaviour Model to Measure Entrepreneurial Intention: An Sem-Pls Approach
dc.creator.none.fl_str_mv Amofah, Kwaku
Saladrigues Solé, Ramon
author Amofah, Kwaku
author_facet Amofah, Kwaku
Saladrigues Solé, Ramon
author_role author
author2 Saladrigues Solé, Ramon
author2_role author
dc.subject.none.fl_str_mv Entrepreneurial Intentions
Partial Least Square
Theory of Planned Behaviour
topic Entrepreneurial Intentions
Partial Least Square
Theory of Planned Behaviour
description Undoubtedly, technical education is the backbone of every nation’s growth and development. Understanding and predicting business creation initiatives demand empirical studies using theory-oriented models that appropriately mirror the multi-faceted perception-based processes underlying entrepreneurial intentional and behaviour. Drawing on a model adapted from a study by Linan and Chen (2009), and based on the Theory of Planned Behaviour (TPB) by Ajzen, this article empirically investigates the influence of Perceived Behavioural Control, Subjective Norm and Attitude towards Entrepreneurship, on Entrepreneurial Intention using Structural Equation Modelling (SEM) – Smart Partial Least Square (PLS) approach. In addition, several hypotheses (demographic-oriented variables) in relation to TPB are investigated. Data were collected on 574 students from a public technical university in Ghana. The findings suggest that TPB is an important tool for predicting entrepreneurial intentions. Thus, the findings support the TPB for EI in Ghana. Two motivational factors (Attitude towards Entrepreneurship and Planned Behavioural Control) related to EI, but SN showed a non-significant association with EI. This study also found SN positively affecting attitude toward entrepreneurship and perceived behavioural control. However, only one (PSE-SN relationship) of the demographic-based hypotheses was significant. This study, however, cautions against the generalizability of the findings as the sample size comprises of students from a single institution. One of the theoretical implications of our study relates to evidence of the consistency of the theory of planned behavior in explaining entrepreneurial intention in the Ghanaian context. Future studies could replicate this research by sampling more technical universities in Ghana and other settings.
publishDate 2020
dc.date.none.fl_str_mv 2020
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.32479/irmm.9814
http://hdl.handle.net/10459.1/71880
http://hdl.handle.net/10459.1/71880
url https://doi.org/10.32479/irmm.9814
http://hdl.handle.net/10459.1/71880
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a https://doi.org/10.32479/irmm.9814
International Review of Management and Marketing, 2020, vol. 10, núm. 3, p. 110-121
dc.rights.none.fl_str_mv cc-by (c) Kwaku Amofah, Ramon Saladrigues, 2020
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv cc-by (c) Kwaku Amofah, Ramon Saladrigues, 2020
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv EconJournals
publisher.none.fl_str_mv EconJournals
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
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