:::

詳目顯示

回上一頁
題名:習慣領域、可變空間下的決策及創新動態學
作者:陳彥曲
校院名稱:國立交通大學
系所名稱:資訊管理研究所
指導教授:游伯龍
學位類別:博士
出版日期:2010
主題關鍵詞:習慣領域創新動態學可變空間下之決策能力集合分析Habitual DomainsInnovation DynamicsDecision making in changeable spacesCompetence Set Analysis
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(1) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:1
  • 共同引用共同引用:0
  • 點閱點閱:52
人類行為乃由動態且複雜的流程所組成。重要的決策行為係人類行為的一部份,因此亦與含有許多動態變化的參數。這些參數互相影響,且會隨著時間、情境,乃至於決策者的心理狀態變化而有所改變。根據習慣領域理論,決策行為雖因不同參數的變化而改變,卻會隨著時間的經過而達到穩定狀態,並且具有習慣性;這使得人們常不自覺地假設決策參數的維度或範圍是固定的。然而在現實生活中,決策參數的變化並非固定在某特定範圍,甚至可能不為人所注意。具備這種動態特性的決策,稱為可變空間下的決策。企業創新問題即屬於可變空間下的決策問題。
企業創新本身是一個動態過程,包含了能力集合的擴展轉化,提供產品及服務以解除特定族群的痛苦與煩惱,創造價值並進一步分配價值等環節;其中每個環節都涉及可變空間之決策制定。過去的創新研究中,尚缺乏整體性的架構以描述此一動態流程。
本研究以習慣領域理論與相關之能力集合分析為基礎,探討決策問題的動態本質,並提出「創新動態學」此一動態循環架構,探討企業如何深入潛在領域,有效獲取、轉化其能力集合,滿足顧客需求,並且創造價值。該架構著重於潛在領域裏參數的動態變化,強調企業的創新流程中各環節皆涉及可變空間下的決策問題。本研究針對五個企業個案進行探討,發現企業創新成功的關鍵因素皆與創新動態學相吻合。藉由檢視架構中各環節的相關活動與議題,企業可瞭解其在創新過程中是否適切地關照到各參數的變化,以便持續不斷地提升其產品或服務,解除目標族群潛在領域裏的痛苦與煩惱,進而創造最大的價值。因此,本研究所提出之觀念性架構,可做為企業組織,甚至個人,在創新及創造價值時之重要參考。
Human behaviors involve dynamic, evolving, interactive, adaptive processes. Important decision making, as a part of human behaviors, is usually dynamic and involves changeable parameters. These parameters can interact with each other and vary with time, the situation, and changes in the psychological states of the decision makers involved. According to the habitual domains theory, decision making can reach a steady state and exhibit habitual patterns as time passes. As a consequence, people may unwittingly assume that the decision parameters have fixed known dimensions and ranges. However, in real life, the parameters might or might not be noticed. Even when they are noticed, their dimensions and ranges cannot be predetermined. Decision making with this kind of feature, is called “decision making in changeable spaces”. Corporate innovation problems are of this type.
Innovation itself is a dynamic process, which includes transforming competence sets for innovation, producing products or services to release the pains and frustrations of target groups, and creating and distributing value. In the field of innovation studies, no framework has systematically described these processes in the past. This research is the first attempt to integrate these components into a single system.
Based on habitual domains theory and its related competence set analysis, this dissertation introduces the concepts of habitual domains and decision making in changeable spaces in order to describe the dynamics of human behaviors and the changing nature of decision-making problems. It goes in depth into potential domains to explore the expansion of competence sets and creation of value, and proposes an integrated framework, innovation dynamics, which emphasizes decision making in changeable spaces and focuses on the exploration of parameters in potential domains. To verify innovation dynamics, five corporate case studies are discussed herein. It shows that these cases are all consistent with innovation dynamics. By examining the operations of each link in innovation dynamics, corporations can understand if each and all links are properly developed, so that they can continually upgrade their products/services and create maximal value by releasing the pains and frustrations in potential domains of customers.
1. 大西洋新聞,2005/8/22,“超級女聲短信投票瘋狂圈錢",http://ent.dayoo.com/gb/content/2005-08/22/content_2189069.htm
2. 「母親節,愛情公寓與你相約在85度C 」活動網站,http://www.i-part.com.tw/html/action/070419/mothersday_index.html
3. 85℃ Bakery Café Official website, http://www.85cafe.com/
4. Nintendo Official website, http://www.nintendo.com
5. Wretch Official website, http://www.wretch.cc/
6. YouTube Official website, http://www.youtube.com
7. 商業週刊第1009期
8. 遠見雜誌2006年12月號
9. 數位時代雜誌2006年9月號
10. 王曉玟(2007)。500大服務業。天下雜誌,第371期,2007年5月9日。
11. 黃亞琪(2006)。85度C 咖啡的連鎖傳奇。理財周刊。2006年02月10日。
12. 周立軒(2005)。網誌的使用者與使用行為之研究。元智大學資訊傳播研究所碩士論文。
13. 劉江釗(2005)。部落格之社會網絡與自我呈現初探。中山大學資訊管理研究所碩士論文。
14. 陳邦鈺、莊 芳(2005)。讓蒙牛銷售額從人民幣七億元上翻至二十五億元。今周刊,第460期。
15. 賴聲川(2006)。賴聲川的創意學。台北市:天下雜誌出版。
16. 藍書平(2010)。五年股價跌六成,戴爾「睡過頭」。天下雜誌,第457期,pp. 248-249。2010年10月6日。
17. 龐文真(2006)。完全解讀無名小站。數位時代,第137期,pp. 46-55。
18. Nardi, B. A., Schiano, D. J., Gumbrecht, M. & Swartz, L. (2004). Why we blog. Communications of the ACM, 47(12), 41-46.
19. Chan, S. J. & Yu, P. L. (1985). Stable Habitual Domains: Existence and Implication. Journal of Mathematical Analysis and Application, 110(2), 469-482.
20. Chang, H. L. & Chen, P. C. (2009). Expanding the competence sets of drivers to alter their habitual domains when addressing the route choice problem. Working paper, submitted to International Journal of Information Technology and Decision Making for publication.
21. Chen, T. Y. (2001). Using competence sets to analyze the consumer decision problem. European Journal of Operational Research, 128(1), 98-118.
22. Chen, T. Y. (2002). Expanding competence sets for the consumer decision problem. European Journal of Operational Research, 138(3), 622-648.
23. Christensen, C. (1997). The innovator’s dilemma. Harvard Business School Press.
24. Chiang-Lin, C. Y., Lai, C. C. & Yu, P. L. (2007). Programming Models with Changeable Parameters-Theoretical Analysis on Taking Loss at the Ordering Time and Making Profit at the Delivery Time. International Journal of Information Technology and Decision Making, 6(4), 577-598.
25. Cohen, W. M. & Levinthal, D. A. (1990). Absorptive capacity: a new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128-152.
26. Dong, J., Zhang, D., Yan, H., & Nagurney, A. (2005). Multitiered Supply Chain Networks: Multicriteria Decision-Making Under Uncertainty. Annals of Operations Research, 135(1), 155-178.
27. Dyer, J. S., Fishburn, P. C., Steuer, R. E., Wallenius, J., & Zionts, S. (1992). Multiple Criteria Decision Making, Multiattribute Utility Theory: The Next Ten Years. Management Science, 38(5), 645-654.
28. Dogson, M. (1991). Technology, learning, technology strategy and competitive pressures. British Journal of Management, 3(2), 132-149.
29. Dosi, G. (1982). Technological paradigms and technological trajectories. Research Policy, 11(3), 147-162.
30. Drucker, P. (1969). The age of discontinuity. Guidelines to our changing society. London: Heineman.
31. Edquist, D. (1997). Systems of innovation. Technologies, institutions and organizations. London: Pinter.
32. Ehrgott, M. (2006). A Discussion of Scalarization Techniques for Multiple Objective Integer Programming. Annals of Operations Research, 147(1), 343-360.
33. Feng, J. W. & Yu, P. L. (1998). Minimum Spanning Table and Optimal Expansion of Competence Set. Journal of Optimization Theory and Applications, 99(3), 655-679.
34. Hauser, J., Tellis, G. J., & Griffin, A. (2006). Research on innovation: a review and agenda for marketing science. Marketing Science, 25(6), 687-717.
35. Hu Y. C., Chen R. S., & Tzeng G. H. (2002). Generating Learning Sequences for Decision Makers Through Data Mining and Competence Set Expansion. IEEE Transactions on Systems, Man, and Cybernetics, 32(5), 679-686.
36. Hu, Y. C., Chen, R. S., Tzeng, G. H. & Chiu, Y. J. (2003). Acquisition of Compound Skills and Learning Costs for Expanding Competence Sets. Computers and Mathematics with Applications, 46(5-6), 831-848.
37. Hu Y. C., Tzeng G. H. & Chen C. M. (2004). Deriving Two-Stage Learning Sequences from Knowledge in Fuzzy Sequential Pattern Mining. Information Sciences, 159(1), 69-86.
38. Huang, G. T., Wang, H. F. & Yu, P. L. (2004). Exploring Multiple Optimal Solutions of Competence Set Expansion Using Minimum Spanning Table Method. Proceedings of the 11th Conference on Habitual Domains, 163-175.
39. Huang, J. J., Ong, C. S. & Tzeng, G. H. (2006). Optimal Fuzzy Multi-Criteria Expansion of Competence Sets Using Multi-Objectives Evolutionary Algorithms. Expert Systems with Applications, 30(4), 739-745.
40. Kline, S.J. & Rosenberg, N. (1986). An overview of innovation. In R. Landau & N. Rosenberg (Eds.), The Positive Sum Strategy: Harnessing Technology for Economic Growth (pp. 275-306). Washington, DC: National Academy Press.
41. Leonard-Barton, D. (1995). Wellsprings of Knowledge: Building and Sustaining the Sources of Innovation. Harvard Business School Press.
42. Li, H. L. & Yu, P. L. (1994). Optimal Competence Set Expansion Using Deduction Graphs. Journal of Optimization Theory and Applications, 80(1), 75-91.
43. Li, J. M., Chiang, C. I., & Yu, P. L. (2000). Optimal Multiple State Expansion of Competence Set. European Journal of Operational Research, 120(3), 511-524.
44. Lin, C. C. (2006). Competence Set Expansion Using an Efficient 0-1 Programming Model. European Journal of Operational Research, 170(3), 950-956.
45. Lin, C. M. (2006). Multiobjective Fuzzy Competence Set Expansion Problem by Multistage Decision-Based Hybrid Genetic Algorithms. Applied Mathematics and Computation, 181(2), 1402-1416.
46. Mcadam, R. (2000). Knowledge management as a catalyst for innovation within organizations: a qualitative study. Knowledge and Process Management, 7(4), 233-241.
47. Opricovic, S. & Tzeng, G. H. (2003). Multicriteria Expansion of a Competence Set Using Genetic Algorithm. In: Tanino, T., Tanaka, T. and Inuiguchi, M. (Eds), Multi-Objective Programming and Goal-Programming: Theory and Applications (pp. 221-226). Springer.
48. Opricovic, S. & Tzeng G. H. (2009), “Competence Set Expansion: Multicriteria Routing Model and Compromise Solution”, Working paper, submitted to Management Science for publication.
49. Patel, P. & Pavitt, K. (1994). National innovation systems: why they are important and how they might be measured and compared. Economics of Innovation and New Technology, 3(1), 77-95.
50. Porter, M. E. (1985). Competitive Advantage: Creating and Sustaining Superior Performance. New York, NY: The Free Press.
51. Pritchett, P. (1987). Making Mergers Work: A Guide to Managing Mergers and Acquisitions. Homewood, Illinois: Dow Jones-Irwin.
52. Salukvadze, M. E. (1971a). Optimization of vector functionals, I. The programming of optimal trajectories. Automation and Remote Control 32(8), 1169-1178.
53. Salukvadze, M. E. (1971b). Optimization of vector functionals, II. The analytic construction of optimal controls. Automation and Remote Control 32(9), 1347-1357.
54. Schumpeter, J. (1934). The theory of economic development. An inquiry into profits, capital, credit, interest, and the business cycle. Cambridge: Harvard University Press.
55. Shapiro, S. (2001). 24/7 innovation: a blueprint for surviving and thriving in an age of change. M. McGraw-Hill.
56. Shi, D. S. & Yu, P. L. (1996). Optimal Expansion and Design of Competence Set with Asymmetric Acquiring Costs. Journal of Optimal Theory and Applications, 88(3), 643-658.
57. Tidd, J., Bessant, J. & Pavitt, K. (2005). Managing Innovation, John Wiley & Sons Ltd, Chichester.
58. Yu, P. L. (1977). Decision Dynamics, with an Application to Persuasion and Negotiation. In: M. K. Starr & M. Zeleny (Eds), Studies in the Management Science 6 (pp. 159-177). North Holland.
59. Yu, P. L. (1980). Behavior Bases and Habitual Domains of Human Decision/Behavior -- Concepts and Applications. In: G. Fandel & T. Gal (Eds), Multiple Criteria Decision-Making, Theory and Applications (pp. 511-539). New York: Springer-Verlag.
60. Yu, P. L. (1981). Behavior Bases and Habitual Domains of Human Decision/Behavior - An Integration of Psychology, Optimization Theory and Common Wisdom. International Journal of Systems, Measurement and Decisions, 1(1), 39-62.
61. Yu, P. L. (1985). Multiple Criteria Decision Making: Concepts, Techniques and Extensions. New York, New York: Plenum Press,.
62. Yu, P. L. (1989). Understanding Behaviors and Forming Winning Strategies, Monograph, School of Business, University of Kansas.
63. Yu, P. L. (1990). Forming Winning Strategies, an Integrated Theory of Habitual Domains. Berlin, Heidelberg, New York, London, Paris, Tokyo: Springer-Verlag.
64. Yu, P. L. (1991). Habitual Domains. Operations Research, 39(6), 869-876.
65. Yu, P. L. (1995). Habitual Domains: Freeing Yourself from the Limits on Your Life. Kansas City, Kansas: Highwater Editions.
66. Yu, P. L. (2002). Habitual Domains and Forming Winning Strategies. Taiwan: NCTU Press.
67. Yu, P. L. (2009). HD: Habitual Domains, the Human Softwares That Determine Your Life. Taipei, Taiwan: Reading Times.
68. Yu, P. L. & Leitmann, G. (1974a). Compromise Solutions, Domination Structures and Salukvadze's Solution. Journal of Optimization Theory and Applications, 13(3), 362-378.
69. Yu, P. L. & Leitmann, G. (1974b). Nondominated Decisions and Cone Convexity in Dynamic Multicriteria Decision Problems. Journal of Optimization Theory and Applications, 14(5), 573-584.
70. Yu, P. L. & Zhang, D. (1989). Competence Set Analysis for Effective Decision Making. Control Theory and Advanced Technology, 5(4), 523-547.
71. Yu, P. L. & Zhang, D. (1990). A Foundation for Competence Set Analysis. Mathematical Social Sciences, 20(3), 251-299.
72. Yu, P. L. & Zhang, D. (1993). A Marginal Analysis for Competence Set Expansion. Journal of Optimization Theory and Applications, 76(1), 87-109.
73. Yu, P. L. & Chiang, C. I. (1999). Judgmental fuzziness and habitual domain, International Journal of Fuzzy Systems, 1(1), 11-21.
74. Yu, P. L. & Lai, T. C. (2004). Knowledge management, habitual domains, and innovation dynamics. Lecture Notes in Artificial Intelligence, 3327, 11-21.
75. Yu, P. L. & Chiang-Lin, C. Y. (2006). Decision traps and competence dynamics in changeable spaces. International Journal of Information Technology and Decision Making, 5(1), 5-18.
76. Yu, P. L. & Chen, Y. C. (2010a). Dynamic MCDM, Habitual Domains and Competence Set Analysis for Effective Decision Making in Changeable Spaces (Chapter 1). In: M. Ehrgott et al. (Eds), Trends in Multiple Criteria Decision Analysis, International Series in Operations Research & Management Science, Volume 142 (pp. 1-35). Springer.
77. Yu, P. L. & Chen, Y. C. (2010b). Dynamic multiple criteria decision making in changeable spaces: from habitual domains to innovation dynamics. Annals of Operations Research, to be published. doi:10.1007/s10479-010-0750-x
78. Yu, P. L. & Chen, Y. C. (2010c). Blinds, fuzziness and habitual domain tools in decision making with changeable spaces. Human Systems Management, 29(4), 231-242.
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
:::
無相關著作
 
QR Code
QRCODE