The concept of agriculture supply chain management is relatively a recent idea in agribusiness management literature, though supply chain as such is few decades old. Efficient and fair agriculture supply chains can result from stable networks and common relations between input suppliers, producers, processors, traders and retailers. In recent years, crucial growth has been made in the development of new approaches for analyzing the arrangement and dynamics of agriculture food chains and networks. The objective of this paper is to investigate the critical factors that affect agriculture supply chain management by consolidating research from diverse disciplines of agribusiness, and to explore the relationships and associations that will enhance effective management of agriculture supply chain. The paper also reviews various research models to provide a better understanding of logistics, networks and relationships in agriculture supply chains. In its entirety, this study provides a healthier understanding of the critical elements of agriculture supply chain management and the effect of their interrelationship on supply chain, value chain and network performance.

Supply chain management is considered to be one of the most important areas of agricultural development to meet the demand of globalization. In recent years, imperative progress has been made in the development of new approaches for analyzing the arrangements and dynamics of agriculture food chains and networks. The focus of this research, through extensive literature review is therefore twofold: First, to investigate the critical factors that affect agriculture supply chain management by consolidating research from diverse disciplines of agribusiness; and second, to explore the relationships and associations that will enhance the effective management of agriculture supply chain. It was also attempted to appraise the various research models to have a better understanding of the agricultural uncertainty, role of small holders, customer-oriented supply chain management, farmer’s welfare and rights, input supplier relationship and management, enterprise logistics, networks, overall trust and transparency, and coordination.

Supply Chain Management Journal, Retail Analytics Using SAS, Analytical Processes, Retail Industry, Statistical Techniques, Product Inventory, Customer Satisfaction, Market Segmentation, Marketing Programs, Marketing Mix Models, Econometric Models, Inventory Management System, Marketing Campaigns, SAS Data Mining Software.