8. Conclusion
To formulate strategies for building agility in supply chain, it is important for the management of a supply chain to understand characteristics and inter relationship of variables. In the proposed model, data accuracy is affected by other variables such as use of IT tools, centralized and collaborative planning, process integration, minimizing uncertainty, reducing resistance to change, and development of trust. However, it acts as a driver for market sensitive supply chain and thus helps to quickly respond to the market demand. Strategy to cope up with resistance to change among trading partners helps to improve market sensitiveness, which supports supply chain agility. Ability to introduce new product in the market is governed by capability to visualize and manage the uncertainties. Uncertainty could be better managed if supply chain has centralized and collaborative planning which need to be supported by the effective use of IT tools.