• 沒有找到結果。

R ESEARCH SCOPE AND LIMITATIONS

CHAPTER 6 CONCLUSIONS AND SUGGESTIONS

6.2 R ESEARCH SCOPE AND LIMITATIONS

The e-auction system has been widely used within high-tech companies to search for lower costs and to reduce administration costs. Literature reviews, interviews with procurement experts, and questionnaires are used to find the most optimal strategy. As the research is mainly looking for the driver and potential shortcomings of e-auction for companies- the research scope is limited to the region within companies situated in the Science Park.

References

1. Agrali, S., Tan, B., and Karaesmen, F. (2008). Modeling and analysis of an auction-based logistic market. European Journal of Operational Research, pp. 272-294.

2. Aberdeen Group (2001). The e-Market revolution: Enabling collaborative commerce: An executive white paper. Aberdeen Group Inc.

3. Ash, C.G., and Burn, J.M. (2006). Evaluating benefits of e-auction in a B2B marketplace: A case study of Quadrem. Journal of Information Technology Case and Application Research, Vol. 8(2), ABI/INFORM Global, pp. 5-23.

4. Bakos, J.Y. (1997). Reducing buyer search costs: Implications for electronic marketplaces. Management Science, Vol. 43(12), pp. 1676-1692.

5. Barratt, M., and Rosdahl, K. (2002). Exploring business-to-business market-sites. European Journal of Purchasing and Supply Management, Vol.

8(2), pp. 111-122.

6. Bartezzaghi, E., and Ronchi, S. (2003). Internet supporting the procurement process: lessons from four case studies. Integrated Manufacturing Systems, Vol. 14(8), pp.632-641.

7. Beall, S., Carter, C., Carter, P.L., Germer, T., Hendrick, T., Jap, S., Kaufmann, L., Maciejewski, D., Monczka, R., and Petersen, K. (2003). The Role of Reverse Auctions in Strategic Sourcing. Focus Study, CAPS Research, pp. 1-85.

8. Beldona, S., and Raisinghani, M.S. (2004). Exchanges in the Digital Economy: The Case of StoebrandXchange.com. Research Note. Journal of Information Technology Cases and Applications. Vol. 6(1), pp.23-27.

9. Blodget, H., and McCabe, E. (2000). The B2B market maker book. Merrill

Lynch & Co., Available on Website: http://www.netmarketmakers.com 10. Carter, C.R., Kaufmann, L. Beall, S., Carter, P.L. Hendrick, T.E., and

Petersen, K.J. (2003). Reverse auction – grounded theory from the buyer and supplier perspective. Transportation Research Part E, Vol. 40, pp.

229-254.

11. Carter, C.R., and Stevens, C.K. (2007). Electronic reverse auction configuration and its impact on buyer price and supplier perceptions of opportunism: A laboratory experiment. Journal of Operations Management, Vol. 25(5), pp. 1035-1054.

12. Chaffey, D. (2002). E-business and e-commerce management. Prentice-Hall, Harlow.

13. Chan, J.K., and Lee, M.K.O. (2003). SME e-auction Adoption in Hong Kong – The roles of power. Trust and Value, Proceedings of the 36th Hawaii International Conference on system Sciences.

14. Chen, R.R., Roundy, R., Janakiraman, G., and Zhang, R.Q. (2005). Efficient auction mechanisms for supply chain procurement. Management Sciences, Vol. 51(3), pp. 467-482.

15. Child, C. (2002). GM suppliers can expect more price cuts. Automotive News, Vol. 4, pp.19.

16. Chiu, Y.C., Shyu, J.Z., and Tzeng, G.H. (2004). Fuzzy MCDM for evaluating the e-commerce strategy. International Journal of Computer Applications of Technology, Vol. 19(1), pp. 12-22.

17. Chopra, S., and Van Mieghem, J. (2000). Which e-Business is right for your supply chain?. Supply Chain Management Review, July-August, pp.32-40.

18. Cohn, L., (2000). B2B: the hottest net bet yet. Business Week, Vol. 17, pp.36-7.

19. Coltman, T.R., Devinney, T.M., and Midgley, D.F. (2007). E-Business strategy and firm performance: a latent class assessment of the drivers and impediments to success. Journal of Information Technology, Vol. 22(2), pp.

87-101.

20. Com2B (2007), Available on Website:

http://www.com2b.com/com2b/ch5/index.asp#

21. Daly, S.P., and Nath, P. (2005). Reverse auctions for relationship marketers.

Industrial Marketing Management, Vol. 34, pp. 157-66.

22. Eakin, D. (2003). Measuring e-procurement benefits. Canada’s magazine on public sector purchasing. February.

23. Emililani, M.L. (2000). Business-to-business online auctions: key issues for purchasing process improvement. Supply Chain Management, Vol. 5(4), pp, 176-86.

24. Emiliani, M.L., and Stec D.J. (2002). Realizing savings from online reverse auctions. Supply Chain Management: An International Journal, Vol. 7(1), pp.12-23.

25. Emiliani, M.L., and Stec, D.J. (2005). Wood pallet suppliers' reaction to online reverse auctions. Supply Chain Management, Vol. 10(3/4), pp.

278-288.

26. Forrester (2003), Available on Website:

http://www.forrester.com/my/1,,1-0,FF.html, accessed on June 1st, 2003.

27. Frambach, R.T., and Schillewaert, N. (2002). Organizational innovation adoption: A multi-level framework of determinants and opportunities for future research. Journal of Business Research, Vol. 55, pp. 163-176.

28. Fraser, J.P., and Klassen, R.D. (2005). E-auction. MITSloan Management Review, Vol. 46(2), pp. 7-10.

29. Gengatharen, D., Standing, C., and Burn, J.M. (2005). Government supported community portal regional eMarketplaces for SMEs: Evidence to support a stated approach. Electronic Markets. Vol. 15(4), pp. 405-417.

30. Ginunipero, L.C., and Sawchuk, C. (2000). E-purchasing plus: changing the way corporations buy. Goshen, NY: JGC Enterprises.

31. Goldsby, T.J., and Eckert, J.A. (2003). Electronic transportation marketplaces: a transaction cost perspective. Industrial Marketing Management, Vol. 32(3), pp.187-98.

32. Hair, J.F., Anderson, R.E., Tatham, R.L., and Black, W.C. (1992).

Multivariate data analysis. 3rd edition, New York: Macmillan.

33. Harrington, J. (2004). An introduction to charging mechanisms in IT procurement. Computer Law and Security Report, Vol. 20(1), pp. 57-60.

34. Harley, J.L., Lane, M.D., and Duplaga, E.A. (2006). Exploring the barriers to the adoption of e-auctions for sourcing. International Journal of Operations and Production Management. Vol. 26 (2), pp. 202-221.

35. Harley, J.L., Lane, M.D., and Hong, Y. (2004). An exploration of the adoption of e-auctions in supply management. IEEE Transactions on Engineering Management, Vol. 51(2), pp 153-161.

36. Hatcher, L. (1994). A step-by-step approach to using the SAS system for factor analysis and structural equation modeling. Cary, NC: SAS Institute.

37. Hur, D., Hartley, J.L, and Mabert, V.A. (2006). Implementing reverse e-auctions: A learning process. Business Horizons, Vol. 49, pp 21-29.

38. Jap, S.D. (2000). Going, going, gone. Harvard Business Review, Vol. 78(6), pp. 30.

39. Jap, S.D. (2003). An exploratory study of the introduction of online reverse auctions. Journal of Marketing, Vol. 67(3), pp. 96-107.

40. Jin, M.Z., and Wu, S. D. (2004). Supplier coalitions in online reverse auctions, Validity requirements and profit distribution scheme. Production Economics, Vol. 100, pp. 183-194.

41. Kaiser, H.F. (1958). The varimax criterion for analytic rotation in factor analysis. Psychometrika, Vol. 23(1), pp. 187–200.

42. Kalakota, R., and Robison, M. (1999). E-business: Roadmap for success.

Addison-Wesley, Reading, MA.

43. Kambil, A., and van Heck, E. (2002). Making markets: How firms can design and profit from online auctions and exchanges. Harvard Business School Press, Boston, MA.

44. Kheng, C.B., and Al-Hawamdeh, S. (2002). The Adoption of electronic procurement in Singapore. Electronic Commerce Research, Vol. 2(1-2), pp.

61-73.

45. Laffont, J.J. (1997). Game theory empirical economics: the case of auction data. European Economic Review. Vol. 41, pp. 1-35.

46. Liao, C.P. (2001). Formosa Plastic Group saved 41.2 billion procurement cost through e-auction. Business Next, Vol. 27, pp. 23-28. Available on Website: http://www.bnext.com.tw/LocalityView_5304

47. Lichtenthal, J.D., and Eliaz,S. (2003). International integration in business marketing tactics. Industrial Marketing Management, Vol. 32(1), pp 3-13. . 48. Matthew, J.C., and Fortin, D.R. (2005). Behavioral outcomes from online

auctions: reserve price, reserve disclosure, and initial bidding influences in the decision process. Journal of Business Research, Vol. 58, pp. 1409-1418.

49. Mullane, J.V., Peters, M.H., and Bullington, K.E. (2001). Entrepreneurial firms as suppliers in business-to business e-commerce. Management

Decision, Vol. 39(5), pp. 388-393.

50. Nair, A. (2005). Emerging Internet-enabled auction mechanisms in supply chain. Supply Chain Management, Vol. 10(3), pp.162-68.

51. Parente, D., Venkatraman, R.R., Fizel, J.L., and Millet, I. (2004). A conceptual research framework for analyzing online auctions in a B2B environment. Supply Chain Management: An International Journal, Vol.

9(4), pp.287-254.

52. Porter, A.M. (2000). Buyers turn wary eyes on electronic auctions.

Purchasing Magazine, Vol. 24, August Edition, pp. 109-112.

53. Puschmann, T., and Alt, R. (2005). Successful use of e-auction in supply chains. Supply Chain Management: An International Journal, Vol. 10(2), pp.

122-133.

54. Reed, L. (2005). Online reverse auctions can be deceiving. Air Conditioning. Heating and Refrigeration News, Available on Website:

http://www.achrnews.com/Articles/Feature_Article/32aca661f6f5a010Vgn VCM100000f932a8c0____

55. Rohm, A.F., Kashyap, V, Brashear, T.G., and Milne, G.R. (2004). The use of online market places for competitive advantage: a Latin American perspective. Journal of Business and Industrial Marketing. Vol. 19(6), pp.

372-85.

56. Sashi, C.M., and O’Leary, B. (2002). The role of Internet auctions in the expansion of B2B markets. Industrial Marketing Management, Vol. 31(2), pp. 103–110.

57. Sawhney, M. (2003). Forward thinking about reverse auctions: It’s easy to overestimate the value of this online procurement tool. Available on Website: http://www.cio.com/archive/060103/gains.html

58. Schwartz, E. (2004). E-marketplaces make a comeback. Industry News.

April.

59. Segev, A., Beam, C., and Chanthikumar, G.. (2001). Optimal design of internet-based auctions. Information Technology and Management, Vol. 2, pp.121-163.

60. Shaw, M.J. (2004). The effects of process characteristics on the value of B2B e-procurement. Information Technology and Management, Vol. 5(1-2), pp.161-80.

61. Smart, A., and Harrison, A. (2003). Online reverse auctions and their role in buyer-supplier relationships. Journal of Purchasing and Supply Management, Vol. 9, pp. 257-268.

62. Smeltzer, L.R., and Carter, A.S. (2002). Reverse auctions in industrial marketing and buying. Business Horizons, Vol. 45(2), pp. 47-52.

63. Smeltzer, L.R., and Carr, A.S. (2003). Electronic reverse auctions: promises, risks and conditions for success. Industrial Marketing Management, Vol. 32, pp. 481-488.

64. Stein, A. and Hawking, P. (2002). Reverse auction e-auction: A suppliers

viewpoint. Available at:

http://ausweb.scu.edu.au/aw02/papers/refereed/stein/paper.html

65. Subramaniam, C., and Shaw, M.J. (2004). The effects of process Characteristics on the value of B2B e-auction. Information Technology and Management, Vol. 5(1-2), pp 161-180.

66. Tamura, H., Nagata, H., and Akazawa, K. (2002). Extraction and systems analysis of factors that prevent safety and security by structural models.

SICE Annual Conference 2002, Osaka.

67. Tan, H. (2000). The four types and six models of E-commerce. Business

Next, Vol. 1, pp 26-40.

68. Tassabehji, R., Taylor, W.A., Beach, R., and Wood, A. (2006). Reverse e-auctions and supplier-buyer relationships: an exploratory study, Int.

Journal of Operations and Production Management, Vol. 26 (1/2),

ABI/INFORM Global.

69. Teich, J.E., Wallenius, H., Wallenius, J., and Zaitsev, A. (2005). A multi-attribute e-auction mechanism for procurement theoretical foundations. European Journal of Operational Research, Vol. 175, pp.

90-100.

70. Tully, S. (2000). The B2B tool that really is changing the world. Fortune, Vol. 141(6), pp. 132-145.

71. Tzeng, G.H., and Deng, C. (1987). Multivariate analysis, First edition, Song Kang Publisher.

72. Tzeng, G.H., Chiang, C.H., and Li, C.W. (2007). Evaluating inter-wined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL. Expert Systems with Application, Vol. 32, pp. 1028-1044.

73. van Tulder, R., and Mol, M. (2002). Reverse auctions or auction reversed:

First experiments by Philips. European Management Journal, Vol. 20(5), pp.

447-456.

74. Veeramani, D., Wang, K. (1997). Performance analysis of auction-based distributed shop-floor control schemes from the perspective of the communication system. The International Journal of Flexible Manufacturing Systems, Vol. 9, pp. 121-143.

75. World Bank Prem Notes (2004). Korea’s move to e-procurement. Prem Notes, July.

76. Yu, Y.W., Yu, H.C. Itoga, H., and Lin, T.R. (2008). Decision-making factors for effective industrial e-procurement. Technology in Society, Vol. 30 (2), pp. 163-169.

Appendix-A

List of 27 Criteria

Criteria Criteria description V1 The scale of procurement V2 The scale of buyer

V3 Full support from manager

V4 Change on procurement procedure

V5 Commitment from buyer

V6 Fair bidding

V7 Full support from participate department V8 Adjustment on procurement type

V9 Product specification

V10 Right timing

V11 Communication between parties before bidding begin V12 Ability to attract new suppliers

V13 Future demand estimation V14 Price listing ability

V15 Decrease possible alliances from buyers or sellers

V16 Adaptability

V17 Stability

V18 Security

V19 Reliability and fairness V20 Participation rate

V21 Supplier preparation before bidding start V22 Supplier’s commitment after bidding V23 Surplus supply from the supplier V24 Services provide from system

V25 Best result achieved for buyer and seller

V26 Measurement index

V27 Rules and procedures informed before bidding begin

Appendix-B

年以上

2.請問您對於使用網路競標的成效定義為何? (可複選)

□(1).大幅降低採購成本 □ (2)大幅增加採購作業效率 □ (3)採購 作業透明化 □(4)其它 (請說明) 3.您認為下列哪一個選項阻礙網路競標之使用?(可複選)

□(1)供應商驗證成本高□(2)新供應商不確定性高□(3)利益結構減少□(4) 維修成本增加□(5)決策權力受限□(6)產品驗證困難□(7)內部合作關係變 差□(8) 製程配合因素□ (9)系統使用者經驗不足□ (10)供應商意願低

□(11)破壞採購合作關係□(12)採購產品特殊□(13)採購金額太小□(14) 採購系統使用率低□(15)採購系統軟體操作不易□(16)系統安全或相容度 4.如已使用過網路競標,建議網路競標可以改進的方向?

三、已使用網路競標答卷者(公司)看法:

1.請問貴公司開始採用網路競標的時間?

□(1) 1 年以下 □(2) 1~2 年 □(3) 2~3 年 □(4) 3 年以上

2.貴公司透過網路競標的採購金額約佔總採購金額的百分比?

□(1)1%以下 □(2)2%-5% □(3)6%-10% □(4)11%-15% □(5)16%-20% □(6)20%以上 3.貴公司透過網路競標平均成本節省比例?

□(1)5%以下 □ (2)5%-10% □ (3)11%-20% □(4)20%以上 4.貴公司透過網路競標節省採購議價作業時間比例?

□(1)5%以下 □ (2)5%-10% □ (3)11%-20% □(4)20%以上 5.請問貴公司 2005 舉辦網路競標總次數?

□ (1)10 次以下 □(2)10 次-50 次 □(3)50 次-100 次 □(4)100 次-300 次 □(5)300 次-500 次 □(6)500 次以上 6.請問貴公司 2006 舉辦網路競標總次數?

□(1)10 次以下 □(2)10 次-50 次 □(3)50 次-100 次 □(4)100 次-300 次 □(5)300 次-500 次□(6)500 次以上 7.請問貴公司 2007 Q1&Q2 舉辦網路競標總次數?

□(1)10 次以下 □(2)10 次-50 次 □(3)50 次-100 次 □(4)100 次-300 次 □(5)300 次-500 次□(6)500 次以上 8.請問您對於使用網路競標的成效定義為何? (可複選)

□(1).大幅降低採購成本 □ (2)大幅增加採購作業效率 □ (3)採購作業透明化 □(4)其它 (請說明) 9.貴公司之網路競標作業系統為自行開發設計,或使用軟體公司(例如 Com2b)?

□自行開發設計,已使用幾年 年

□使用軟體公司,委託之資訊公司為何?

貳、DEMATEL 問卷調查(以下全部,未使用網路競標和已使用網路競標皆需要答)

表二、構面準則關聯性調查表

填寫方式例如:

成本效益阻力 供應商驗證成本高 新供應商不確定性高 利益結構減少

供應商驗證成本高 0 1 4

新供應商不確定性高 2 0 3

利益結構減少 3 1 0

(0:無影響;1:非常低度影響; 2:中度影響;3:高度影響;4:極高度影響)

1. 假如「產品穩定度低」功能,對「廠商供應商驗證成本高」的決策沒什麼關係,您判定僅有 0 的影響程度;

2. 但對於「產品穩定度低」對「廠商供應商驗證成本高」的決策決定非常有影響,您判定有 4 的影響程度。

表三、成本效益阻力構面準則關聯性調查表

成本效益阻力 1. 供應商驗證成本高 2.新供應商不確定性高 3. 利益結構減少 4. 維修成本增加

1. 供應商驗證成本高 0

2. 新供應商不確定性高 0

3. 利益結構減少 0

4. 維修成本增加 0

(0:無影響;1:非常低度影響; 2:中度影響;3:高度影響;4:極高度影響)

表四、公司內部阻力構面準則關聯性調查表

公司內部阻力 1.授權採購決策權力 2. 規格驗證困難 3.內部合作關係 3. 製程配合因素 4.新採購系統使用者

經驗不足

1.決策權力受限 0

2.產品驗證困難 0

3.內部合作關係 0

4.製程配合因素 0

5.採購系統使用者經驗不足 0

(0:無影響;1:非常低度影響; 2:中度影響;3:高度影響;4:極高度影響)

表五、外在環境阻力構面準則關聯性調查表

外在環境影響因素 1.供應商意願低 2.採購合作關係 3. 採購產品特殊 4.採購金額太小

1.供應商意願低 0

2.採購合作關係 0

3.採購產品特殊 0

4.採購金額太小 0

(0:無影響;1:非常低度影響; 2:中度影響;3:高度影響;4:極高度影響)

表六、資訊系統影響準則關聯性調查表

資訊系統影響 1.採購系統使用率低 2.採購系統軟體操作不易 3.系統安全或相容度

1.採購系統使用率低 0

2.採購系統軟體操作不易 0

3.系統安全或相容度 0

(0:無影響;1:非常低度影響; 2:中度影響;3:高度影響;4:極高度影響)

表七、採購單位不願意使用網路競標影響準則調查表

1. 成本效益阻力 2. 公司內部因素阻

3. 外在環境影響 因素

4. 資訊系統因素

1. 成本效益阻力 0

2. 公司內部阻力 0

3. 外在環境影響 0

4. 資訊系統因素 0

(0:無影響;1:非常低度影響; 2:中度影響;3:高度影響;4:極高度影響)

問卷到此結束,麻煩您再檢查一次是否全部作答,感謝您的大力支持,謝謝!

相關文件