Structural Equation Modelling for Validating Disruptive Factors in Livestock Supply Chain
International Journal of Advanced Computer Science and Applications
; 13(5), 2022.
Article
in English
| ProQuest Central | ID: covidwho-1924734
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.
Sciences: Comprehensive Works; Supply chain management; disruption; livestock; structural equation modelling; Sales; Transportation; Finance; Multivariate statistical analysis; Supply chains; Agriculture; Farmers; Raw materials; Feeds; Failure; Computer science; Communication; Farms; Livestock industry; Information systems; Compliance; Literature reviews; Suppliers; COVID-19
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Type of study:
Prognostic study
Language:
English
Journal:
International Journal of Advanced Computer Science and Applications
Year:
2022
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS