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Structured mathematical modelling on innovation management in project-oriented small construction firms

The significance of innovation management in triggering and sustaining increase in corporations of distinct size, age or enterprise type, is receiving growing attention, yet scant empirical research have been carried out in project-oriented service firms, in particular small-scaled enterprises. This...

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Detalles Bibliográficos
Autores principales: Wang, Chen, Tang, Yutong, Mo, Yiyi, Huang, Merit M., Abdul-Rahman, Hamzah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900353/
https://www.ncbi.nlm.nih.gov/pubmed/36755599
http://dx.doi.org/10.1016/j.heliyon.2023.e13386
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author Wang, Chen
Tang, Yutong
Mo, Yiyi
Huang, Merit M.
Abdul-Rahman, Hamzah
author_facet Wang, Chen
Tang, Yutong
Mo, Yiyi
Huang, Merit M.
Abdul-Rahman, Hamzah
author_sort Wang, Chen
collection PubMed
description The significance of innovation management in triggering and sustaining increase in corporations of distinct size, age or enterprise type, is receiving growing attention, yet scant empirical research have been carried out in project-oriented service firms, in particular small-scaled enterprises. This study aims to identify how innovation management in small construction firms could enable them to pursue innovation and achieve greater business performance. Data collection comprises 157 empirical surveys leading to a conceptual framework modelled using the structural equation modelling approach. The findings show that entrepreneurship and networking have a direct and considerable influence on both technological and non-technological innovation, which consequently improves firm performance.
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spelling pubmed-99003532023-02-07 Structured mathematical modelling on innovation management in project-oriented small construction firms Wang, Chen Tang, Yutong Mo, Yiyi Huang, Merit M. Abdul-Rahman, Hamzah Heliyon Research Article The significance of innovation management in triggering and sustaining increase in corporations of distinct size, age or enterprise type, is receiving growing attention, yet scant empirical research have been carried out in project-oriented service firms, in particular small-scaled enterprises. This study aims to identify how innovation management in small construction firms could enable them to pursue innovation and achieve greater business performance. Data collection comprises 157 empirical surveys leading to a conceptual framework modelled using the structural equation modelling approach. The findings show that entrepreneurship and networking have a direct and considerable influence on both technological and non-technological innovation, which consequently improves firm performance. Elsevier 2023-01-31 /pmc/articles/PMC9900353/ /pubmed/36755599 http://dx.doi.org/10.1016/j.heliyon.2023.e13386 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Wang, Chen
Tang, Yutong
Mo, Yiyi
Huang, Merit M.
Abdul-Rahman, Hamzah
Structured mathematical modelling on innovation management in project-oriented small construction firms
title Structured mathematical modelling on innovation management in project-oriented small construction firms
title_full Structured mathematical modelling on innovation management in project-oriented small construction firms
title_fullStr Structured mathematical modelling on innovation management in project-oriented small construction firms
title_full_unstemmed Structured mathematical modelling on innovation management in project-oriented small construction firms
title_short Structured mathematical modelling on innovation management in project-oriented small construction firms
title_sort structured mathematical modelling on innovation management in project-oriented small construction firms
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900353/
https://www.ncbi.nlm.nih.gov/pubmed/36755599
http://dx.doi.org/10.1016/j.heliyon.2023.e13386
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