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Modelling of Non-Financial Factors Affecting Yemen Small Medium Enterprises (SMEs) Performance Using AMOS

This study exhibits the construction of a structural relationship model of Non-Financial Factors that include innovation, training, human capital, and market orientation on the performance of Yemen's Small Medium Enterprises (SMEs). The modelling was done using the AMOSSEM software. Structural...

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Main Authors: Mohamed Abdulrazaq, Esmail Hassan, Ahmad, Ahmad Nur Aizat
Format: Article
Language:English
Published: uthm 2024
Subjects:
HB Economic Theory
Online Access:http://eprints.uthm.edu.my/12114/1/J17671_9d9647ab60c333395bb336688b714aa4.pdf
http://eprints.uthm.edu.my/12114/
https://doi.org/10.30880/ijscet.2024.15.01.005
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spelling my.uthm.eprints.121142024-12-01T02:39:33Z http://eprints.uthm.edu.my/12114/ Modelling of Non-Financial Factors Affecting Yemen Small Medium Enterprises (SMEs) Performance Using AMOS Mohamed Abdulrazaq, Esmail Hassan Ahmad, Ahmad Nur Aizat HB Economic Theory This study exhibits the construction of a structural relationship model of Non-Financial Factors that include innovation, training, human capital, and market orientation on the performance of Yemen's Small Medium Enterprises (SMEs). The modelling was done using the AMOSSEM software. Structural Equation Modelling (SEM), route analysis, and confirmatory factor analysis are all performed using the software. It is well-known for its visual approach, which enables users to graphically build models with basic sketching tools and analysts to participate in intricate statistical modelling. The modelling examines the specific effects of these factors and discloses key contributors to the success or failure of SMEs. Data used for modelling was collected from 350 valid responses of employees in the Yemeni manufacturing SME. The findings from the modelling highlight the dominant significance of innovation, as proved by its highest beta coefficient of 0.90, signifying its profound impact on SME performance. Following closely is training, with a coefficient of 0.3, further establishing its crucial role in influencing performance outcomes. Ultimately, this research concludes that the four factors—human capital, innovation, training, and market orientation—exhibit a statistically significant relationship with SME performance within manufacturing sector. The inferences of these findings are of paramount importance to policymakers and practitioners as it offers actionable insights for enhancing SME performance and driving economic growth within Yemen. uthm 2024 Article PeerReviewed text en http://eprints.uthm.edu.my/12114/1/J17671_9d9647ab60c333395bb336688b714aa4.pdf Mohamed Abdulrazaq, Esmail Hassan and Ahmad, Ahmad Nur Aizat (2024) Modelling of Non-Financial Factors Affecting Yemen Small Medium Enterprises (SMEs) Performance Using AMOS. INTERNATIONAL JOURNAL OF SUSTAINABLE CONSTRUCTION ENGINEERING AND TECHNOLOGY, 15 (1). pp. 48-68. ISSN 2600-7959 https://doi.org/10.30880/ijscet.2024.15.01.005
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic HB Economic Theory
spellingShingle HB Economic Theory
Mohamed Abdulrazaq, Esmail Hassan
Ahmad, Ahmad Nur Aizat
Modelling of Non-Financial Factors Affecting Yemen Small Medium Enterprises (SMEs) Performance Using AMOS
description This study exhibits the construction of a structural relationship model of Non-Financial Factors that include innovation, training, human capital, and market orientation on the performance of Yemen's Small Medium Enterprises (SMEs). The modelling was done using the AMOSSEM software. Structural Equation Modelling (SEM), route analysis, and confirmatory factor analysis are all performed using the software. It is well-known for its visual approach, which enables users to graphically build models with basic sketching tools and analysts to participate in intricate statistical modelling. The modelling examines the specific effects of these factors and discloses key contributors to the success or failure of SMEs. Data used for modelling was collected from 350 valid responses of employees in the Yemeni manufacturing SME. The findings from the modelling highlight the dominant significance of innovation, as proved by its highest beta coefficient of 0.90, signifying its profound impact on SME performance. Following closely is training, with a coefficient of 0.3, further establishing its crucial role in influencing performance outcomes. Ultimately, this research concludes that the four factors—human capital, innovation, training, and market orientation—exhibit a statistically significant relationship with SME performance within manufacturing sector. The inferences of these findings are of paramount importance to policymakers and practitioners as it offers actionable insights for enhancing SME performance and driving economic growth within Yemen.
format Article
author Mohamed Abdulrazaq, Esmail Hassan
Ahmad, Ahmad Nur Aizat
author_facet Mohamed Abdulrazaq, Esmail Hassan
Ahmad, Ahmad Nur Aizat
author_sort Mohamed Abdulrazaq, Esmail Hassan
title Modelling of Non-Financial Factors Affecting Yemen Small Medium Enterprises (SMEs) Performance Using AMOS
title_short Modelling of Non-Financial Factors Affecting Yemen Small Medium Enterprises (SMEs) Performance Using AMOS
title_full Modelling of Non-Financial Factors Affecting Yemen Small Medium Enterprises (SMEs) Performance Using AMOS
title_fullStr Modelling of Non-Financial Factors Affecting Yemen Small Medium Enterprises (SMEs) Performance Using AMOS
title_full_unstemmed Modelling of Non-Financial Factors Affecting Yemen Small Medium Enterprises (SMEs) Performance Using AMOS
title_sort modelling of non-financial factors affecting yemen small medium enterprises (smes) performance using amos
publisher uthm
publishDate 2024
url http://eprints.uthm.edu.my/12114/1/J17671_9d9647ab60c333395bb336688b714aa4.pdf
http://eprints.uthm.edu.my/12114/
https://doi.org/10.30880/ijscet.2024.15.01.005
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score 13.223943

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