Structural Equation Modelling for Validating Disruptive Factors in Livestock Supply Chain

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.

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