Collaborative CassavaChip Supply Chain Mobile Application in Thailand Cassavachip is considered one of Thailandxe2x80x99s most important economic crops and Thailand is the worldxe2x80x99s largest cassava products exporter. Thai government is prioritizing the cassava production in their xe2x80x9cMega farmxe2x80x9d strategy in support of agricultural economic and collaboration between farmer, public and private sectors. The collaborative model is an integrated supply chain that manages the multiple stakeholders. Moreover, implementing the collaborative supply chain (CSC) has improve overall performance of the entire supply chain. The study aims to review existing literature on collaborative model and critical success factors in the agriculture supply chain context during 20082018 and the 20year agriculture and cooperatives strategy (20172036). The six key collaborative success factors are identified: Business Management, Information Technology, Value Added Process, SC Relationship, Top Management Commitment, Partnership, Service Quality, Process, Resource Capability, Environment Uncertainties, Customer Satisfaction. The hypothesis will be tested by the linear regression analysis and develop the prototype of CSC mobile application to create the collaboration in cassava chip industry. Then, the result will be embedded into mobile application. The application will later be used to provide more appropriate thirdparty system to enhance the collaborative cassava chip supply chain in Thailand. The result shows that all components are supported by the hypothesis and user acceptance test.

The role of adverse economic environment and human capital on collaboration within agrifood supply chains Abstract   This paper examines the role of adverse economic conditions and human capital on different types of collaboration within agrifood supply chains. Data was collected from the Greek agricultural sector, covering periods of economic hardship. The results reveal that the impact of adverse economic conditions on the collaborative constructs of goal congruence, decision synchronization, incentive alignment, resource sharing and joint knowledge creation is nonlinear, specifically an inverted U for all of them. For collaboration constructs of information sharing and collaborative communication, the results reveal that under adverse economic conditions, the farmers do not collaborate. We also show that aspects of human capital such as age, education and farming experience affect collaboration. Our contribution lies in investigating the potential nonlinear relationship between adverse economic conditions and various types of collaboration. Therefore, this study provides several managerial implications and insight for policymakers, while filling a crucial gap in the literature due to the limited existing studies that consider the impact of adverse economic conditions on agrifood supply chains.