| 研究生: |
鄭佳昀 Cheng, Chia-Yun |
|---|---|
| 論文名稱: |
階層式電子化指標架構與績效衡量之實證研究 |
| 指導教授: |
呂執中
Lyu, JrJung |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 工業與資訊管理學系 Department of Industrial and Information Management |
| 論文出版年: | 2005 |
| 畢業學年度: | 93 |
| 語文別: | 中文 |
| 論文頁數: | 101 |
| 中文關鍵詞: | 階層式 、績效指標 、因果關係 、電子化 |
| 外文關鍵詞: | performance indicator, hierarchical, e-business |
| 相關次數: | 點閱:131 下載:2 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
隨著資訊科技與通信技術的快速發展,電子商務不但為企業帶來了創造財富的機會,更轉變了企業建立競爭力的模式。為因應國際環境改變所帶來的變革,政府相關部門正投入大量之人力與資源推動產業電子化,以期能夠提昇各產業在國際上之競爭力。為確實掌握國內產業電子化的現況與資源投入效益,應建立績效指標之衡量機制,評估目前電子化計畫的績效表現。
本研究之目的在建立一可與國際相比較之產業電子化績效衡量指標,以掌握國家產業電子化現況、國際之趨勢,協助政府了解產業電子化推動計畫之成效;並提出電子化績效指標架構,探討指標之間的關連及應用,以作為政府及企業推動電子化計畫績效評估之基礎。
本研究以國際性電子化指標為基礎,利用文獻探討及實務上電子化專案績效指標之蒐集整理歸納,提出階層式電子化績效指標架構,分別以經濟發展面及資訊科技發展面將架構分為國家、產業以及企業競爭力三個層次,並深入瞭解電子化之投入對於各個層次之影響。在企業關鍵能力與產業驅動力方面,由資料驗證參與D計畫企業之關鍵能力與產業競爭力有顯著的影響關係。進而以因果關係模型驗證近14年產業e化環境及國家總體經濟指標之關係,發現製造業之資訊科技採用佔總資本支出之平均水準為2.58%,對總體經濟指標績效則呈現三年的落後績效,而批發零售餐飲業資訊科技採用佔總資本支出之平均水準為9.97%,對總體經濟指標績效卻無顯著的影響,運輸倉儲通信業之資訊科技採用佔總資本支出之平均水準為4.95%,對總體經濟指標績效表現四年的落後績效。以國家層次而言,國家e化應用程度對於國家總體經濟指標績效並無顯著的影響。另一方面,產業層次(製造業與批發零售餐飲業)及國家層次資訊科技的投入皆會受到國家前幾年總體績效指標績效的影響,因此國家總體經濟績效之表現會促使國家及產業資訊科技投入產生效益。
Internet technologies have been widely embraced by enterprises worldwide to conduct their business to dramatically improve their performance. Realizing the importance of e-business, government in Taiwan has proposed and supported many national policy initiatives in regarding to e-business projects and to improve the information and communication technology (ICT) infrastructure, expecting the industries can increase their international competitiveness thereafter. To justify the ranking of e-readiness in Taiwan and the realized benefits through the initiatives, it is necessary to formulate a framework with metrics on respective performance indicators in order to measure the e-business performance in a comparative level.
One of the main objectives of this thesis is to formulate a framework in order to measure the e-business performance in a international comparative level. This research proposes the e-business performance metrics and justifies their relationship and interaction. The proposed framework can also serve as a reference for the government to evaluate e-business policies.
This research adopts the international practices as the foundation to develop the hierarchical framework of e-business performance indicators. The framework has two dimensions, economic and Information Technology (IT) development, and is separated into country level, industry level and firm level. Concerning the relationship of firm level and industry level, the key competences of enterprises which joined the D-plan demonstrated significant influence on industrial competitive indicators. Furthermore, the causal relationship models are utilized to verify the relationship between the industrial e-business environment and the macro economic indicators in the past 14 years, where the results suggest that the manufacturing industry averagely spent 2.58% of total capital investment on IT investments and has lagged for three years in the performance of the macroeconomic indicators. Similarly results for the wholesale, retail and food industry, which reaches 9.97% yet has no significant influence on the performance of the macro economic indicators, and for transportation, storage and communication industry it has invested nearly 4.95% and four years lagged. For country level, e-business applications have no significant impact on macroeconomic indicators. On the other hand, IT investment of the industry level (such as manufacturing, wholesale, retail, and food industry) and the country level are shown to be influenced by the performance of the macroeconomic indicators for the past few years. Accordingly, the performance of the macroeconomic indicators will produce benefits for the IT investments in the country and industries level.
【中文部分】
1. 行政院主計處,1990-2003,台閩地區電腦應用狀況報告,台北:行政院主計處電子處理資料中心。
2. 黃重球,2000,產業電子化白皮書,台北 : 行政院iAeB推動小組。
3. 黃重球,2001,產業電子化白皮書,台北 : 行政院NICI推動小組。
4. 黃重球,2002,產業電子化白皮書,台北 : 行政院NICI推動小組。
5. 黃貝玲,1999,「What is E-Business? What a E-Business Can DO For You?」,電子化企業經理人報告,9月,118-121.
6. 黃麗珍,2002,推動體系電子化最佳實務之實證研究-以資訊產業為例,國立成功大學工業管理研究所碩士論文。
【英文部分】
1. Apostolopoulos, T. K. and Pramataris K. C., 1997, “Information Technology Investment Evaluation:Investments in Telecommunication Infrastructure,” International Journal of Information Management, Vol. 17, No. 14, pp. 287-296.
2. Amit, R. and Zott, C., 2001, “Value Creation in E-business,” Strategic Management Journal, Vol. 22, pp. 593-520.
3. Barua, A., Whinston, A. B. and Yin F., 2000, “Value and Productivity in the Internet Economy,” Computer, Vol. 33, No. 5, pp. 102-105.
4. Barua, A., Konana, P. and Whinston, A. B., 2001, “Driving E-Business Excellence,” Sloan Management Review, Vol. 43, No. 1, pp. 36-44.
5. Beamon, B. M., 1999, “Measuring Supply Chain Performance,” International Journal of Operation & Production Management, Vol. 19, No. 3, pp. 275-292.
6. Bennet P. L. and Kathryn P. R., 2000, Start Right in E-Business: A Step-by-Step Guide to Successful E-Business Implementation, ACADEMIC PRESS.
7. Beratan, K. K., Kabala, S. J., Loveless, S. M., Martin, J. S., and Spyke, N. P., 2004, “Sustainability Indicators as A Communicative Tool: Building Bridges in Pennsylvania,” Environmental Monitoring and Assessment, Vol. 94, pp. 179-191.
8. Brynjofsson, E., 1993, “The Productivity Paradox of Information Technology,” Communications of the ACM, Vol. 36, No. 12, pp. 67-77.
9. Canova, L., Rattazzi, A., Webley, P., 2005, “The hierarchical structure of saving motives,” Journal of Economic Psychology, Vol. 26, No. 1, pp. 21-34/
10. Choi, S.Y., Stable, D.O., and Winston, A.B., 1997, The Economics of Electronic Commerce, Macmillan Technical Publishing, U.S.A.
11. Dedrick, J., Gurbaxani, V. and Kraemer, K. L., 2003, “Information Technology and Economic Performance:A Critical Review of the Empirical Evidence,” ACM Computing Surveys, Vol. 35, No. 1, pp. 1-28.
12. Dickey, D. and Fuller, W. A., 1979, “Distribution for the Estimates for Autoregressive Time Series with a Unit Root,” Journal of the American Statistical Association, Vol. 74, pp. 427-431.
13. Dehning, B. and Stratopoulos, T., 2003, “Determinants of a Sustainable Competitive Advantage due to an IT-enabled Strategy,” Strategic Information Systems, Vol. 12, pp. 7-28.
14. Elfring, T. and Man, A. D., 1998, “Theories of the Firm, Competitive Advantage and Government Policy,” Technology Analysis & Strategic Management, Vol. 10, No. 3, pp. 283-293.
15. Engle, R. and Granger, C. W. J., 1987,“Cointegration and Error Correction: Represention, Estimation, and Testing,” Econometrica, Vol. 55, No, 2, pp. 251-76.
16. Farbey, B., Land, F. and Targett, D., 1992, “Evaluating Investments in Information Technology,” Journal of Information Technology, Vol. 7, pp. 109-122
17. Futla, D., Bodorik, P. and Dhaliwal, F., 2002, “Supporting the E-Business Readiness of Small and Medium-sized Enterprises: Approaches and metrics,” Internet Research: Electronic Networking Applications and Policy, Vol. 12, No. 2, pp. 139-164.
18. Gelinas, U. J., Sutton, S. G., and Fedorowicz, J., 2003, Business Processes and Information Technology, South-Western
19. Gibbs, J., Kraemer, L. C., Derick, J., 2003, “Environment and Policy Factors Shaping Global E-Commerce Diffusion: A Cross-Country Comparison,” The Information Society, Vol. 19, pp. 5-18.
20. Granger, C. W. J. and Newbold, P., 1974, “Spurious Regressions in Econometrics,” Journal of Econometrics, Vol. 2, pp. 111-120.
21. Gunasekaran, A., Patel, C. and Tirtiroglu, E., 2001, “Performance Measures and Metrics in a Supply Chain Environment,” International Journal of Operation & Production Management, Vol. 21, No. 1/2, pp. 71-87.
22. Gustavson, K. R., Lonergan, S. C., and Ruitenbeek, J. R., 1999, “Selection and Modeling of Sustainable Development Indicators: A Case Study of the Fraser River Basin, British Columbia,” Ecological Economics, Vol. 28, pp. 117-132.
23. Hayes, J. and Finnegan, P., 2003, “Assessing the of Potential of e-Business Models: Towards a Framework for Assisting Decision-makers,” European Journal of Operational Research, Vol. 160, pp. 365-379.
24. Hu, Q. and Quan, J. J., 2005, “Evaluating the Impact of IT Investments on Productivity: A Causal Analysis at Industry Level,” International Journal of Information Management, Vol. 25, pp. 39-53.
25. International Data Corporation, 2000, The 2000 IDC Worldwide Black Book, Feamingham, MA: IDC.
26. International Telecommunication Union, 2001, Yearbook of Statistcs 1991-2000, Geneva: International Telecommunication Union.
27. International Telecommunication Union, 2002, World Telecommunication Development Report 2002, Geneva: International Telecommunication Union.
28. Jalava, J. and Pohjla, M., 2002, “ Economic Growth in the New Economy: Evidence from Advanced Economies,” Information Economics and Policy, Vol. 14, pp. 189-210.
29. Jahnukainen, J. and Lahti, M., 1999, “Efficient Purchasing in Make-to-order Supply Chains,” Internationl Journal Production Economics, Vol. 59, pp. 103-111.
30. IBM, 1999, “Introduction to e-business (Ⅰ),” IBM Strategy and Planning Consulting for e-business.
31. Kalakota R. and Robinson M., 2001, e-Business 2.0: Roadmap for Success, Addison-Wesley.
32. Kalakota, R., and Whinston, A. B. , 1997 Electronic Commerce: A Manager’s Guide, Addison-Wesley Pub Co, Massachusetts.
33. Kendall, J. D., Tung, L. L., Chua, K. H., Dennis Ng, C. H. and Tan, S. M., 2001, “Receptivity of Singapore’s SMEs to Electronic Commerce Adoption,” Journal of Strategic Information Systems, Vol. 10, pp. 223-242.
34. King, M. and Mcaulay L., 1997, “Information Technology Investment Evaluation:Evidence and Interpretations,” Journal of Information Technology, Vol.12, pp. 131-143.
35. Kubyda, S. and Diwan, R., 2002, “The Impact of Information Technology on US Industry,” Japan and the World Economy, Vol. 14, pp. 321-333.
36. Lall, S., 2001, “Competitiveness Indices and Developing Countries:An Economic Evaluation of the Global Competitiveness Report,” World Development, Vol. 29, No. 9, pp. 1501-1525.
37. Laudon, K. C. and Laudon, J. P., 2003, Management Information systems, 8thed, McGraw-Hill.
38. Lee, H. L. and Whang, S., 2001, “E-Business and Supply Chain Integration,” Stanford Global Supply Chain Management Forum, pp.1-20.
39. Lynch, D. F., Keller, S. B. and Ozment, J., 2000, “The Effects of Logisitcs Capabilities and Strategy of Firm Performance,” Journal of Business Logisitics, Vol. 21, No. 2, pp. 47-67.
40. Newbold, P. and Leybourne, S. J., 2003, Recent Developments in Time Series, The International Library of Critical Writings in Econometrics.
41. O’Brien, J. A., 2002, Management Information Systems, 5thed, McGraw-Hill.
42. OECD, 2003, ICT and Economic Growth, Paris, OECD.
43. Pattern, K., 2000, An Introduction to Applied Econometrics: A Time Series Approach, London: Macmillan Press Ltd.
44. Pohjola, M., 2002, ” The New Economy in Growth and Development,” Oxford Review of Economic Policy, Vol. 18, No. 3, pp. 380-396.
45. Reed Electronics Research, 2000, The Yearbook of World Electronics Data 2000, Survey, UK: Reed Electronics Research.
46. Robbins, S. P., 2003, Organizational Behavior, US:Pearson Education.
47. Tam, K. Y., 1998, “The Impact of Information Technology Investments in Firm Performance and Evaluation form Newly Industrializes Economies,” Information Systems Research, Vol. 9, No. 1, pp. 85-98.
48. Teo, T. H. and Tan, M., 1998, “An Empirical Study of Adopters and Non-adapters of the Internet in Singapore,” Information & Management, Vol. 34, pp.339-345.
49. UNCTAD, 2003, E-Commerce and Development Report 2003, New York and Geneva, UNCTAD.
50. Wong, P. K., 2003, “Global and National Factors Affecting E-Commerce Diffusion in Singapore,” The Information Society, Vol. 19, pp. 19-32.
51. World Economic Forum (WEF), 2004, The Global Competitiveness Report 2003-2004, New York: Oxford University Press for World Economic Forum.
52. Shi, D. and Daniels, R. L., 2003, “A Survey of Manufacturing Flexibility: Implications for e-Business Flexibility,” IBM Systems Journal, Vol. 42, No. 3, pp.414-420.
53. Sircar, S., Turnbow, J. L. and Bordoloi, B., 2000, “A Framework for Assessing the Relationship Between Information Technology Investments and Firm Performance,” Journal of Management Information Systems, Vol. 16, No. 4, pp. 69-97.
54. Smith, D., 2000, “Risk Management: E-business Strategy Risk Management,” Computer Law and Security Report, Vol. 16, No. 6, pp. 394-396.
55. Straub, D. W., Hoffman, D. L., Weber, B. W. and Steinfield, C., 2002, “Measuring e-Commerce in Net-Enabled Organizations: An Introduction to the Special Issue,” Information Systems Research, Vol. 13, No. 2, pp. 115-124.
56. Zhu, K. and Kraemer, K. L., 2002, “E-Commerce Metrics for Net Enhanced Organizations:Assessing the Values of E-Commerce to Firm Performance in the Manufacturing Sector,” Information Systems Research, Vol. 13, No. 3, pp. 275-295.
【網站部分】
1. Colecchia, A., 1997, “Defining and Measuring Electronic Commerce,” http://www.oecd.org.
2. E-Business W@tch, 2003, “The European e-Business Report 2003,” http://www.ebusiness-watch.org/.
3. Economist Intelligence Unit(EIU), 2004, The 2004 e-readiness rankings,” http://www.eiu.com.
4. eEurope, 2002, “eEurope Benchmarking Repot,” http://europa.eu.int/information_society/eeurope/benchmarking/index_en.htm.
5. Forrester Research, http://www.forrester.com.
6. Gartner Group, http://www.gartner.com.
7. Jupiter Media Metrix, http://www.jupiterresearch.com.
8. National Information and Communications Initiative Committee, http://www.nici.nat.gov.tw.
9. Thomas L. M., 2001, “Measuring Electronic Business: Definition, Underlying Concepts, and Measurement Plans,”
http://www.census.gov/pub/epcd/www/ebusiness.htm.
10. Wong, J. and Lam, E., 2002, “Measuring Electronic Commerce in Singapore: Methodology Issues and Survey Findings,” http://www.singstat.gov.sg/.
11. 台經院產經資料庫, http://tie.tier.org.tw/.
12. 行政院主計處整體統計資料庫, http://www.dgbas.gov.tw/.
13. 資訊工業策進會, http://www.find.org.tw.
14. 經濟統計資訊網路查詢系統, https://2k3dmz2.moea.gov.tw/gwWeb/