Management Efficiency Models with SCOR Variables of Vegetables under Good Agricultural Practice Standard in Chiang Mai Province
Creators: name: Supapunt, Patcharin
name: Supapunt, Patcharin
Publisher: name: Unknown
Year: 2017
Subjects: subject: Agricultural and Food Policy
subject: Good Agricultural Practice (GAP) vegetables
subject: management efficiency
subject: SCOR processes
subject: SCOR variables
subject: Bayesian Belief Networks (BBNs)

description: The objective of this study was to evaluate management efficiency models according to supply chain operations reference model (SCOR Model) by means of the Bayesian Belief Networks (BBNs). Data were collected in the form of interviews with questionnaires from farmers and focus groups from stakeholders involved in Good Agricultural Practice (GAP) vegetable management under GAP standard in ocimum, sweet pepper, goat and guinea pepper, solanum melongena groups, and other GAP vegetables (momordica charantia, eryngium foetidum, yard long bean, and brassica). 166 farmers interviewed by questionnaires were divided into 22, 16, 41, 45, and 42 in each GAP vegetable group, respectively, while focus group discussions were attended by 58 farmers, 13 middlemen, 12 exporters, and 5 government officers. The samples of the study from the interviews and focus group discussions were randomized by means of stratified random sampling from districts, sub-districts to communities, according to database of the Office of Agricultural Research and Development Region 1 (OARD 1). The models were created to evaluate the management efficiency of GAP vegetable by means of BBNs. The supply chain models indicated the relationship in each SCOR process from upstream, midstream to downstream levels and can be used to evaluate the effectiveness of management to propose innovative practices in each GAP vegetable management. Additionally, the management variables for management efficiency assessment were explained by SCOR variables in each SCOR process. It was found that the management efficiency models showed the relationship between the child and parent nodes. The parent nodes were the management variables according to SCOR Model evaluated by satisfaction levels in each SCOR process and the child nodes were the values of management efficiency in each GAP vegetable group. It could be concluded that management efficiency of ocimum group, sweet pepper group, goat and guinea pepper group, solanum melongena group, other GAP vegetables, and all GAP vegetable groups were in a high level with the highest probability of occurrence of 24.9%, 23.6%, 28.9%, 28.3%, 30.7%, and 35.40%, respectively. Moreover, considering each SCOR process was necessary in order to find the key parent nodes through the highest sources to markets in solanum melongena group, and delivery process from farms to markets and return process in goat and guinea pepper group. In conclusion, sources process of input provision was recognized in all GAP vegetable groups. These parent nodes had the most significant influence on the management efficiency. Consequently, these variables should be maintained while some variables should be improved by new approaches leading to the better management efficiency. The GAP vegetable management with certain key SCOR variables can help the decision making in production and marketing planning, resulting in the effective management to provide safe and quality products for consumers and farmers. sensitivity values, contributing to the improvement in the supply chain management efficiency. It could be explained that the management should focus on the plan process in ocimum group, source process of input provision in other GAP vegetables, production process and delivery process from farms to assembly sources in sweet pepper group, delivery process from assembly