In this research work Taiwanese public trading companies in five major industries had been asked to complete a survey aiming at identifying various stages in supply chain management evolution. Our Hypothesis derived from literature review states that various key dimensions have to be assumed and help identifying stages of a firm in its SCM- evolution.
50 Taiwanese public trading listed companies had been asked on international industry trade fair exhibitions in Taipei during the period of June-October 2008. The data collected had confirmed the hypothesis that various key dimensions disclose a selected range of key elements through which stages of SCM-evolution could be identified. The survey had revealed that the Semiconductor and Electric Machinery sector had significantly reached a higher number of stages in SCM evolution for key dimensions in Information Technology and Logistic Operations.
The second hypothesis had addressed the relationship between SCM performance measures and higher rising stages in supply chain management evolution. The work has verified the assumption in certain key dimensions that higher supply chain management evolution stages of industries achieve significantly higher SCM performance levels.

Allen, R.M. (1995). Quick response: The consumer` s handshake with manufacturing at Union Tools. National Productivity Review, (14)3, 27.
Abuhilal, L., Rabadi, G., & Sousa-Poza, A. (2006). Supply chain inventory control: A comparison among JIT, MRP, and MRP with information sharing using simulation. Engineering Management Journal,18(2), 51-57.
Bagchi, P.K., & Ha, B.C. (2005). Supply chain integration: An european survey. The International Journal of Logistics Management,16(2), 275-294.
Berman, O., & Wan, Q. (2006). Inbound logistic planning: Minimizing transportation and inventory cost. Transportation Science, 40(3), 287–299.
Biehl, M., Cook, W., & Johnston, D.A. (2006). The efficiency of joint decision making in buying-supplier relationships. Springer Science & Business Media, Ann Oper, 145, 14-34.
Byrne, P.M., & Markham, W.J. (1992). How the flow of material can lead to customer satisfaction: A study points the way. National Productivity Review/Spring, 11(2), 169-180.
Cavinato, J.L. (1999). A general methodology for determining a fit between supply chain logistics and five stages of strategic management. International Journal of Physical Distribution & Logistics Management, 29(3), 162-180.
Chan, F.T.S., & Chan, H. (2005). Simulation modeling for comparative evaluation of supply chain management strategies. International Journal of Advanced Manufacturing Industry, 25, 998-1006.
Chan, F.T.S., & Chan, H. (2005). The future trend on system-wide modeling in supply chain studies. International Journal of Advanced Manufacturing Industry, 25, 820-832.
Childerhouse, P., & Towill, D.R. (2006). Enabling seamless market-orientated supply chains. International Journal Logistics Systems and Management, 2(4), 357-370.
Corsten, D., & Felde, J. (2005). Exploring the performance effects of key supplier collaboration. International Journal of Physical Distribution & Logistics management, 35(6), 445-461.
Croom, S.R. (2005). Impact of e-business on supply chain management. International Journal of Operations & Production Management, 25(1), 55-74.
Folinas, D., Manthou, V., Sigala, M., & Vlachopoulou, M. (2004). Evolution of a supply chain: cases and best practices. Internet Research, 14(4), 274-283.
Hill, F. Pharmacy Supply Chain Assessment. NHS, Logistics Authority, Pharmacy Supply Chain Assessment Manual, 1(7), 1-25.
Huang, S.H., Uppal, M., & Shi, J. (2002). A product driven approach to manufacturing supply chain selection. Supply Chain Management: An International Journal, 7(4), 189-199.
Kannan, V.R., & Tan, K.C. (2006). Buyer-supplier relationships. The impact of supplier selection and buyer – supplier engagement on relationship and firm performance. International Journal of Physical Distribution & Logistics Management, 36(10), 755-775.
Kumar, S., & Eickhoff, J.H. (2005). Outsourcing: When and how should it be done? Information Knowledge Systems Management, 5, 245-259.
Kwon, I.W.G., & Suh, T. (2004). Factors affecting the level of trust and commitment in supply chain relationships. The Journal of Supply Chain Management: A Global Review of Purchasing and Supply, 40(2), 4-15.
Liebermann, M.B., & Asaba, S. (1997). Inventory reduction and productivity growth: A comparison of Japanese and US automotive sectors. Managerial and Decision Economics, 18(2), 73-85.
Martin, J.H., & Grbac, B. (2003). Using supply chain management to leverage a firm` s market orientation. Industrial Marketing Management, 32(1), 25-38.
Mason, R., & Lalwani, C. (2006). Transport integration tools for supply chain management. International Journal of Logistics: Research and Applications, 9(1), 57-74.
McCormack, K., & Lockamy, A. (2004). The development of a supply chain management process maturity model using the concepts of business process orientation. Supply Chain Management Journal, 9(4), 272-278.
Narasimhan, R., & Nair, A. (2004). The antecedent role of quality, information sharing and supply chain proximity on strategic alliance formation and performance. International Journal of Production Economics, 96(3), 301-313.
Poirier, C.C., & Quinn, F.J. (2003). A survey of supply chain progress. The five levels of supply chain evolution. Supply Chain Management, Review, 5.
Poirier, C.C. (1997). Evolving to the ultimate level of performance through supply chain management. National Productivity Review, 17(1), 11-34.
Sheridan, J.H., & Leibs, S. (1999). Managing the chain. Industry Week/IW, 48(16), 50.
Stank, T.P., Keller, S.B., & Closs, D.J. (2002). Performance benefits of supply chain logistical integration. Transportation Journal, 32-41.
Trappey, C.V., Trappey, A.J.C., Lin, G.Y.P., Liu, C.S., & Lee, W.T. (2007). Business and logistics hub integration to facilitate global supply chain linkage. Proceedings of the Institution of Mechanical Engineers, Part B: J. Engineering Manufacture, 221, 1221-1233.