供應鏈金流之多行平台演進分析－以資訊産業電子化C計畫為例

The Evolution of Multi-Banks Model of Supply Chain e-Financing

10.6504/JOM.2006.23.02.06

耿慶瑞(Ching-Jui Keng)；黃思明(Syming Hwang)；吳順興(Shung-Hsing Wu)

供應鏈 ； 金流平台 ； 多行模式 ； 組織生態學 ； 賽局理論 ； Multi-Banks Model ； e-Supply Chain Management ； Organizational Ecology ； Game Theory ； e-Financial Platform

管理學報

23卷2期（2006 / 04 / 01）

241 - 261

繁體中文

本研究以組織生態學、跨組織平台演化與賽局的競合觀點，解釋C計畫中多行平台模式之演進。多行模式是C計畫中的核心基礎，在C計畫架構下，必須藉由多行模式建構共通的金流平台，方能順利推展。本研究訪談了所有參與C計畫的八大種子銀行，並從訪談的個案中，發現平台的商業模式亦將逐步浮現，可能會有銀行聯合主導以及中心廠個別主導模式。銀行有機會藉由扮演産業專家的角色，産生銀行平台共構的可能；此外，本研究以賽局模擬的推演，模擬出未來銀行端共構的可能發展為金流平台的共構提供參考依據。研究發現資源型的銀行會與利基特殊的行銷銀行合作共構平台，而行銷較強的資源型銀行會採取單身策略。

Information technology is the best weapon to enhance the communication and efficiency within the supply chains that links the different organizations. Internet provides the enabling technology to do that. Recently, our government had promoted many IT applications promotion project to induce industrial competitive ability. After finished the A and B-Plan last year C and D Plan are promoting with high speed. The C-plan of e-SCM in information industry belongs to this application. This research will use organizational ecology and game theory to analyze the evolution of multi-banks models. According to the C-plan business models, there are multi-products, multi-banks, and multi-countries models. The multi-banks model is the most important part of C-plan, because the multi-products and multi-countries models need cross- banks mechanism that is provided by multi-banks model. This research is designed to find the best interaction model among banks, suppliers, and B-plan firms. First of all, we will use organizational ecology theory to find the possible multi-banks models through the interactions among three players, including banks, suppliers, and focal firms. Secondly, the game theory will be used to find the best interaction model offered optimal pay-off among the three players. We asked about the executives of eight banks who play a part in C-Plan and request each bank to score other banks. We also concluded nine key factors in this project and simulated the process of this financial platform follow out. The results of possible multi-banks models through the interactions among three players, including banks, suppliers, and focal firms were be developed the following propositions. In the early period of evolution of multi-banks models, the standard of data exchange and the size of their market were the key successful factors. In the promoting period, the formation of business models could enhance the firms' willing to joining the C-plan platform. The focal firm-leading model was emerging in the integration period of C-plan platform. The added service could increase the breadth of niches of the banks in the limpidity period of financing multi-banks platform. In the same period, the multi-bank platform would be evolved to selling, dealing, and sharing multi-bank models. In the mature period, the multi-bank platform was transformed to the united banks 'leading model. The focal firm-leading model was transformed to the united focal firm leading model in the mature period. The united focal firm leading model and united banks' leading model could not balance with the power between firms and banks. Then they would be evolved to the focal firms-banks interaction model. The results of best interaction model offered optimal pay-off among the three players were the following propositions. Without considering the threshold, the resource-type banks would find the opportunities of cooperation with the marketing-type banks with special niches. When we were considering the threshold, the equalities of qualifications of banks were the most import ant fact ors regarding the alliances. In the resource-type bank leading alliances, resource-type bank would be allied with two other marketing-type banks, but those who own both resource and marketing powers would be single. By way of this research, we've not only depicting the process concretely and providing a macroscopic view for the industry researches, but also strengthening the power of explanatory for C-Plan.

1. Aldrich. H. E.(1979).Organizations and Environments.
2. Casson, M.(1995).Working paper in Department of Economics.Partner Selection in International Joint Ventures: Economic model and Social Metaphors.
3. Chang, J. F.(1997).A Simulation Matching Approach for Mate Selection.Unpublished thesis,U.K:
4. Choudhury, Vivek,K. S. Hartzel,B. R. Konsynski(1998).Uses and Consequences of Electronic Markets: An Empirical Investigation in the Aircraft Parts Industry.MIS Quarterly.
5. Clemons, Eric. K.,Michael. Row(1992).Information Technology and Industrial Cooperation: The Changing Economics of Coordination and Ownership.Journal of Management Information Systems.
6. Clemons, Eric. K.,Sashidhap P. Reddi,Michael. Row(1993).The Impact of Information Technology on the Organization of Economic Activity: The “Move to the Middle” Hypothesis.Journal of Management Information Systems.
7. Desmet, Driek,David Fine,Jacques Meyer(2002).Banking behind the scenes.McKinsey Quarterly.
8. DiMaggio, Paul J.,Walter W. Powell(1983).The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields.American Sociological Review.
9. El-Sway, O. A.,A. Malhotra,S. Gosain,K. M. Young(1999).IT-Intensive Value Innovation in the Electronic Economy: Insights From Marshall Industries.MIS Quarterly.
10. Hannan, Michael T.,John Freeman(1997).The Population Ecological of Organizations.American Journal of Sociology.
11. Hannan, Michael T.,John Freeman(1989).Organizational Ecology.
12. Hannan, Michael T.,John Freeman(1983).Niche Width and the Dynamics of Organizational Populations.American Journal of Sociology.
13. Holland, Christopher P.(1995).Cooperative Supply Chain Management: the Impact of Interorganizational Information Systems.Journal of Strategic Information Systems.
14. Holland, Christopher P.,Geoff Lockett,Ian Blackman(1992).Planning for Electronic data Interchange.Strategic Management Journal,13(7),539-550.
15. Hwang, Syming(2002).Business Models of Supply Chain e-Financing-C Plan.
16. Hwang, Syming,Ching-Jui Keng,C. S. Chiang,H. Y. Lin(2002).National Strategic Information Systems.Proceeding of Non-Technical Technology Development Program for Academia Conference.
17. Hwang, Syming,S.C. Hong,G. T. Hu(1996).The Impact of EDI on Marketing Channels.Journal of Management.
18. Johnston, H. R.,P. R. Lawrence(1988).Beynod Vertical Integration-the Rise of the Value-adding Partnership.Harvard Business Review.
19. Johnston, H. R,M. R. Vitale(1988).Creating Competitive Advantage with Interorganization Information System.MIS Quarterly.
20. Kauffman, Robert J.,Hamid Mohtadi(2002).Information Technology in B2B E-Procurement: Open vs. Proprietary Systems?.Proceedings of 35th Hawaii International Conference on System Sciences.
21. Keng, Ching-Jui,Syming Hwang(2002).The Evolution of Multi-Bank Business Models in the C-Plan of Electronic Supply Chain Management in Information Industry.Proceeding of Non-Technical Technology Development Program for Academia Conference.
22. Konsynski, B. R.,F. W. McFarlan(1990).Information Partnership: Shard Data, Shard Scale.Harvard Business Review.
23. Malone, Thomas E.,Joanne Yates,Robert I. Benjamin(1987).Electronic Markets and Electronic Hierarchies.Communication of ACM.
24. Nidumolu, Sarma R.(1995).Interorganizational Information Systems and the Structure and Climate of Seller-Buyer Relationships.Information and Management.
25. Tsai, M. D.,Ching-Jui Keng,Syming Hwang(2002).Analysis of Multi-Bank Model Efficiency-A Marketing Channel View.Proceeding of Non-Technical Technology Development Program for Academia Conference.
26. Vlosky, Richard P.,David T. Wilson(1994).Technology Adoption in Channels: Short-Term Pain and Long-Term Gain.Presentation at Second Research Conference on Relationship Marketing.
27. Yin, Robert K.(1989).Case Study Research Design and Methods.