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DOI: 10.14569/IJACSA.2022.0130555
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Structural Equation Modelling for Validating Disruptive Factors in Livestock Supply Chain

Author 1: Nur Amlya Abd Majid
Author 2: Noraidah Sahari
Author 3: Nur Fazidah Elias
Author 4: Hazura Mohamed
Author 5: Latifah Abd Latib
Author 6: Khairul Firdaus Ne’matullah

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 5, 2022.

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Abstract: The purpose of this paper is to deploy a structural equation modeling approach through the Partial Small Square technique to validate the disruptions factors that affect livestock supply chain performance. The disruption prediction factors were obtained from the analysis of literature studies and data from the Department of Veterinary Services (DSV) and expert evaluation. Factors considered in the study model are Livestock Process, Finance, Breeders, Quality, Facilities, Technology, Demand, Supply, Information Communication, Sales, Transportation, Government Involvement, Disaster and Syariah Compliance. The results of the study found that the factors of Livestock Process, Finance, Breeders, Livestock Quality, Technology, Supply, Sales, Transportation, Government Involvement and Syariah Compliance were accepted as disruptions in the livestock supply chain. The findings of this study will assist farmers and livestock stakeholders to take necessary measures to minimise the disruption and further the government's goal of enlivening small and medium livestock enterprises in Malaysia.

Keywords: Supply chain management; disruption; livestock; structural equation modelling

Nur Amlya Abd Majid, Noraidah Sahari, Nur Fazidah Elias, Hazura Mohamed, Latifah Abd Latib and Khairul Firdaus Ne’matullah, “Structural Equation Modelling for Validating Disruptive Factors in Livestock Supply Chain” International Journal of Advanced Computer Science and Applications(IJACSA), 13(5), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130555

@article{Majid2022,
title = {Structural Equation Modelling for Validating Disruptive Factors in Livestock Supply Chain},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130555},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130555},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {5},
author = {Nur Amlya Abd Majid and Noraidah Sahari and Nur Fazidah Elias and Hazura Mohamed and Latifah Abd Latib and Khairul Firdaus Ne’matullah}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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