併用型經營模式之探討─貝氏網路模擬平台之建構應用

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：33

、訪客IP：3.131.13.194

姓名

鄭琇文(Shiou-wen Cheng) 查詢紙本館藏

畢業系所

企業管理學系

論文名稱

併用型經營模式之探討─貝氏網路模擬平台之建構應用
(A Research on Ambidextrous Business Model:Construction and Application of a Simulation Platform on Bayesian Network)

相關論文

★ 醫院特質、智慧資本對醫院經營績效影響之研究	★ 重大災難對台北國際觀光旅館經營績效的影響
★ 創業家失敗復原歷程之研究	★ 社會爆紅現象之動態模擬分析-以K-POP為例之探索性研究
★ 創造力攸關之內外在環境特質與創造力投資策略之關係-學童與廠商跨領域之比較研究	★ 創造力競爭環境,個人內在動機與創造力工作環境關係之探討--學童與廠商跨領域之比較
★ 電子商務產業新創事業創業策略之研究–組織意會觀點之應用	★ 不同形式之產品線延伸以及所有權狀態對品牌評價的影響
★ 台灣地區學童消費型態研究--以城鄉差異與家庭溝通模式觀點探討	★ 生物技術產業新創事業創業策略之研究-組織意會活動與實質選擇權觀點之應用
★ 商店選擇對商品價值認知與惠顧傾向影響之探討	★ 「形塑環境」及「社會網絡」之意會活動對「實質選擇權徵兆」的影響—以大學校園創業團隊為例
★ 「建構身份」、「形塑環境」及「似合理性」對實質選擇權徵兆之影響 —以大學校園創業團隊為例	★ 「形塑環境」、「現行性」及「倡導力」對「實質選擇權徵兆」的影響—以大學校園創業團隊為例
★ 「建構身份」、「源自回顧」及「萃取線索」對「實質選擇權徵兆」的影響--以大學校園創業團隊為例	★ 從台灣智慧型手機設計代工個案探討其競爭優勢

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

當企業經營模式內的活動越多，則活動間的影響關係也會變得越來越複雜，因此也越不容易瞭解其經營模式之內涵。而也由於經營模式內的活動不易操弄，故本研究想嘗試以因果脈絡圖的方式來分析經營模式，建立一個具簡化和視覺化的模擬平台來進一步操弄這些經營活動元件，並使用Nvivo分析軟體來輔助紮根分析過程，同時也利用Pajek軟體幫助本研究繪出經營元件因果脈絡圖，最後使用BayesiaLab軟體協助本研究做有關經營模式間的分析。
為了瞭解併用型企業強化其經營模式之各種可能的狀況，利用本研究所建立的16分類經營模式，並建立一個具紮根基礎的模擬試驗平台，藉由經營模式內活動元件關係的操弄，探討兩經營模式間的移動，以及經營活動會有怎樣的聯繫關係，還有利用經營活動元件設定不同情境，觀察其對標的元件的影響，而主要的觀察經營活動元件為以伺服骨幹、樞軸及兩者兼具的併用型骨幹元件為主。

摘要(英)

As a company engages in more and more business activities, relations amongst these activities tend to get increasingly complicated. In order to explore the connotations underlying these activities, the research aims to construct an experimental platform to manipulate causal maps and simulate Bayesian Networks built upon elements representing corresponding business activities.
Through this platform, the research hopes to explore the ways in which an Ambidextrous organization can further enhance her exploitative and exploratory activities for higher profit margin and better market opportunities. As well as to identify the business elements which pose the greatest effect on profit margin and market opportunities. The research adopts a qualitative and quantitative approach to gain better understanding of the casual relationships among these business elements.
The qualitative part of this research includes grounded coding of the interview transcripts, construction of causal maps using elements extracted through grounded coding, and finally structural analysis of the casual maps. The software utilized are Nvivo, Pajek and Ucinet.
The quantitative part of this research includes construction of Bayeisan Networks from the causal maps, and simulation of the degree of causal influence among the business elements. The software utilized is BayesiaLab.
This research has proposed a 16-grid typology which serves possible directions for innovative improvement of the target company. The research has also constructed core element frameworks suited for exploitative, exploratory and ambidextrous organizations respectively.

關鍵字(中)

★ 伺服
★ 樞軸
★ 經營模式
★ 因果脈絡圖
★ 探勘
★ 併用
★ 骨幹
★ 開採

關鍵字(英)

★ Pajek
★ Nvivo
★ BayesiaLab

論文目次

第一章緒論 1
第一節研究背景 1
第二節研究動機與目的 1
第三節研究架構與章節概述 4
第二章文獻回顧 6
第一節經營模式的演進 6
第二節因果脈絡圖之發展與應用 40
第三節貝氏網路圖之發展與應用 48
第三章研究方法 51
第一節經營模式元件之紮根分析 51
第二節因果脈絡圖之結構分析 54
第三節經營模式因果脈絡之貝氏分析 58
第四章經營模式之實證建構與型態歸類 71
第一節經營模式元件之萃取 71
第二節經營模式因果脈絡圖之建構 82
第三節經營模式基本性質之分類 99
第五章經營模式骨幹之分析 108
第一節經營模式元件之篩選 108
第二節樞軸型骨幹之內涵 117
第三節伺服型骨幹之內涵 121
第四節併用型骨幹之內涵 125
第六章經營模式創新改善途徑之分析 130
第一節目標個案I現有元件互動關係之創新改善 130
第二節目標個案I之經營模式分類與標竿創新改善方案 137
第三節目標個案I對照外部標竿企業A之創新改善方案 141
第四節 I個案對照外部標竿企業B之創新改善方案 160
第五節 I個案各類創新改善方案之MDL值比較 183
第七章 I公司經營模式創新之情境模擬 186
第一節不同創新途徑下標的元件之前因傳導分析 186
第二節不同創新途徑下標的元件之既定情境傳導分析 205
第八章結論與建議 243
第一節研究發現 243
第二節對管理實務的建議 258
第三節對後續研究的建議 260
第四節研究限制 260
參考文獻 263
附錄一 Level 1.5元件內容 271
附錄二個案基本性質描述 277
附錄三 Bonacich’s power centrality 解集合重點摘要 308

參考文獻

一、中文文獻
1. 吳思華，2005，《異思奇想－超越極限的產業創新機制》，臺北：國立政治大學創新與創造力研究中心。
2. 吳思華、溫肇東、楊舜惠，2006，「從策略理論看事業經營模式─事業經營模式的定義與內涵」，創新與創造力研討會。
3. 李定宇，2005，「突破式創新與經營模式互動關係之文獻研究—兼論商業智能之前導作用」，碩士論文，國立中央大學企業管理研究所。
4. 李美華、孔祥明、李明寰、林家娟、王婷玉、李承宇譯，2004，《社會科學研究方法》，臺北：時英出版。
5. 李興益，2007，「經營模式元件角色之分析」，碩士論文，國立中央大學企業管理研究所。
6. 范揚君，2007，「經營模式階次區塊之分析」，碩士論文，國立中央大學企業管理研究所。
7. 張景翔，2005，「商業智能與經營模式設計之文獻研究-兼論與突破式創新演化之關係」，碩士論文，國立中央大學企業管理研究所。
8. 陳浩民，2005，「突破式創新與經營模式對創新導入之影響的文獻研究—兼論商業智能之前導作用」，碩士論文，國立中央大學企業管理研究所。
9. 陳銑鈞，2006，「經營模式元件及其間關係之紮根研究」，碩士論文，國立中央大學企業管理研究所。
10. 楊豐豪，2007，「經營模式元件橋接關係之分析」，碩士論文，國立中央大學企業管理研究所。
11. 廖梅花、吳芝儀譯，2001，《質性研究入門：紮根理論研究方法》，臺北：濤石文化。
12. 劉乙興，2005，「突破式創新與經營模式對主宰設計之影響的文獻研究—兼論商業智能之前導作用」，碩士論文，國立中央大學企業管理研究所。
13. 劉雅妍，2005，「商業智能與經營模式設計之文獻研究--兼論與突破式創新進入策略之關係」，碩士論文，國立中央大學企業管理研究所。
14. 顏君安，2005，「經營模式、進入策略、主宰設計關係之文獻研究－兼論商業智能之前導作用」，碩士論文，國立中央大學企業管理研究所。
二、英文文獻
1. Abernathy, W. J., 1978, The productivity dilemma. Baltimore: Johns Hopkins University Press.
2. Afuah, A., 2004, Business models: A strategic management approach, N.Y.: McGraw-Hill.
3. Ahmad, R. and N. A. Ali, 2003, ‘The use of cognitive mapping technique in management research: Theory and practice,’ Management Research News, 26:7 1-16.
4. Allmendinger G. and R. Lombreglia, 2005, ‘Four strategies for the age of smart services,’ Harvard Business Review, 83:10 131-138.
5. Amit, R. and C.Zott, 2001, ‘Value creation in e-business,’ Strategic Management Journal, 22:6/7 493-520.
6. Axelrod, R., 1976, The Structure of Decision: Cognitive Maps of Political Elites, Princeton, NJ: Princeton University Press.
7. Baron, J. N., M. T. Hannan, and M. D. Burton, ‘1999 "Building the iron cage: Determinants of managerial intensity in the early years of organizations,’ American Sociological Review, 64: 527-547.
8. Barr, P. S., J. L Stimpert and A. S. Huff, 1992, ‘Cognitive change, strategic action, and organizational renewal,’ Strategic Management Journal, 13: 15-36.
9. Benner, M. J. and M. L. Tushman, 2003, ‘Exploitation, exploration, and process management: The productivity dilemma revisited,’ Academy of Management Review, 28: 238–256.
10. Bonacich, P., 1987, ‘Power and Centrality: A Family of Measures’, The American Journal of Sociology, 92:5 1170-1182
11. Bonham, G. M., 1993, ‘Cognitive mapping as a technique to support international negotional negotiation,’ Theory, 34: 255-273.
12. Bougon, M., 1992. ‘Congregate cognitive maps: A uni®ed dynamic theory of organization and strategy,’ Journal of Management Studies, 29: 369-389.
13. Bougon, M., K. Weick and D. Binkhorst, 1977, ‘Cognition in organizations: An analysis of Utrecht Jazz Orchestra,’ Administrative Science Quarterly, 22: 606-.639
14. Brown, S. L., and K. M. Eisenhardt, 1997, ‘The art of continuous change: Linking complexity theory and time-paced evolution in relentlessly shifting organizations,’ Administrative Science Quarterly, 42:: 1-34.
15. Bryson, J. M., F. Ackermann, C. Eden and C. B. Finn, 2004, Visible Thinking. England, UK: John Wiley and Sons Ltd.
16. Burgelman, R., 1994, ‘Fading memories: A process theory of strategic business exit,’ Administrative Science Quarterly, 39: 24-56.
17. Calori, R., G. Johnson and P. Sarnin, 1994, ‘CEOs' Cognitive maps and the scope of the organization,’ Strategic Management Journal, 15:6 437-457.
18. Carley, K. and M. Palmquist, 1992, ‘Extracting, representing and analyzing mental model,’ Social Forces, 70: 601-636.
19. Chesbrough, H. W and R. S. Rosenbloom, 2002, ‘The role of the business model in capturing value from innovation: Evidence from xerox corporation's technology spin-off companies,’ Industrial and Corporate Change, 11:3 529-555.
20. Chesbrough, H. W. ,2003, ‘The era of open innovation,’ MIT Sloan Management Review, 44:3 35-41.
21. Chesbrough, H., 2007, ‘Business model innovation:it’s not just about technology anymore,’ Strategy and Leadership 35:6 12-17
22. Cossette, P. ,2002, ‘Analysing the thinking of F.W. Taylor using cognitive mapping,’ Management Decision, 40:1/2 168-182.
23. Cossette, P. and M. Audet, 1992, ‘Mapping of an idiosyncratic schema,’ The Journal of Management Studies, 29:3 325-347.
24. Daniels, K., L. de Chernatony and G. Johnson, 1995, ‘Validating a method for mapping managers' mental models of competitive industry structures,’ Human Relations, 48:9 975-991.
25. David, J. and C. Mackay, 2004, Information Theory, Inference, and Learning Algorithms, http://www.inference.phy.cam.ac.uk/mackay/itila : Cambridge University Press, pp. 40-42, pp. 103-116
26. Drazin, R., and A. H. Van de Ven, 1985, ‘Alternative forms of fit in contingency theory,’ Administrative Science Quarterly, 30: 514-539.
27. Dubosson-Torbay, M., A. Osterwalder and Y. Pigneur, 2001, ‘E-business model design, classification, and measurements,’ Thunderbird International Business Review, 44:1 5-23.
28. Eden, C. and J. C. Spender, 1988, Managerial and Organizational Cognition: Theory, Methods and Research, London, UK: Sage Publications.
29. Eden, C., F. Ackermann and S. Cropper, 1992, ‘The analysis of cause maps,’ The Journal of Management Studies, 29:3 309-324.
30. Eden, C., Jones, S. and Sims, D., 1979. Thinking in Organizations. Macmillan, London.
31. Eden, C., S. Jones, D. Sims and T. Smithin, 1981, ‘The intersubjectivity of issues and issues of intersubjectivity,’ The Journal of Management Studies, 18:1 37-47
32. Fagiolo, G. and G. Dosi, 2003, ‘Exploitation, exploration and innovation in a model of endogenous growth with locally interacting agents,’ Structural Change and Economic Dynamics, 14: 237–273.
33. Fahey, L. and V. K. Narayanan, 1989, ‘Linking changes in revealed causal maps and environmental change: An empirical study,’ The Journal of Management Studies, 26:4 361-378.
34. Fiol, C. M. and A. S. Huff, 1992, ‘Maps for managers: Where are we? where do we go from here?,’ The Journal of Management Studies, 29:3 267-285.
35. Friedman, N. and M. Goldszmidt, 1989, ‘Learning Bayesian networks with local structure’, Learning and Inference in Graphical Models, pp.421–459
36. Galunic, D. C. and K. M. Eisenhardt, 2001, ‘Architectural innovation and modular corporate forms,’ Academy of Management Journal, 44: 1229–1249.
37. Gavetti, G.. and D. Levinthal, 2000, ‘Looking forward and looking backward: Cognitive and experiential search,’ Administrative Science Quarterly, 45: 113-137
38. Ghemawat, P. and J. Costa, 1993, ‘The organizational tension between static and dynamic efficiency,’ Strategic Management Journal, 14: 59-73.
39. Giesen, E., S. J. Berman, R. Bell and A. Blitz, 2007, ‘Three ways to successfully innovate your business model,’ Strategy and Leadership, 35:6 27-33
40. Greve, H. R., 2007, ‘Exploration and exploitation in product innovation,’ Industrial and Corporate Change, 16:5 945-975
41. Hamel, G. ,2000, Leading the Revolution, Boston, MA: Harvard Business School Press.
42. Hannan, M. T., and J. Freeman, 1984, ‘Structural inertia and organizational change,’ American Sociological Review, 49: 149-164.
43. Hannan, M. T., M. D. Burton, and J. N. Baron, 1996, ‘Inertia and change in the early years: Employment relations in young, high-technology firms,’ Industrial and Corporate Change, 5: 503-536
44. Hayes, R. H., and W. J. Abernathy, 1980, ‘Managing our way to economic decline, ‘ Management of innovation, pp. 11-25.
45. He, Z.-L. and P.-K. Wong, 2004, ‘Exploration vs. exploitation: an empirical test of the ambidexterity hypothesis,’ Organization Science, 15: 481–494.
46. Heckerman, D., 1996, ‘Bayesian networks for data mining,’ Data Mining and Knowledge Discovery, 1: 79-119.
47. Henrion, M, 1989, ‘Some practical issues in constructing belief networks’, Uncertainty in Artiﬁcial Intelligence 3: 161-173,
48. Hodgkinson, G. P. and P. R. Sparrow, 2002, The Competent Organization: A Psychological Analysis of the Strategic Management Process, Buckingham, UK: Open University Press.
49. Hodgkinson, G. P., A. J. Maule and N. J. Bown, 2004, ‘Causal cognitive mapping in the organizational strategy field: A comparison of alternative elicitation procedures,’ Organizational Research Methods, 7:1 3-26.
50. Huff, A. S. ,1990, Mapping Strategic Thought, Chichester, UK: Wiley.
51. Huff, A. S. and K. E. Fletcher, 1990, Conclusion: Key Mapping Decisions, Chichester, UK: Wiley.
52. Huff, A.S. and M. Jenkins, 2002, Mapping Strategic Knowledge, CA: Sage Publications Ltd.
53. Jensen, F.V., S. L. Lauritzen and K. G. Olesen, 1990, ‘Bayesian updating in causal probabilistic networks by local computation,’ Computational Statistics Quarterly 4: 269-282.
54. Katila, R. and G. Ahuja, 2002, ‘Something old, something new: a longitudinal study of search behavior and new product introduction,’ Academy of Management Journal, 45: 1183–1194.
55. Khandwalla, P. N.,1973, ‘Viable and effective organizational designs of firms,’ Academy of Management Journal, 16:481-495.
56. Langfield-Smith, K., 1992, ‘Exploring the Need for a Shared Cognitive Map,’ Journal of Management Studies, 29:3 349-368.
57. Laukkanen, M., 1996. ‘Comparative cause mapping of organizational cognition,’ In: Meindl, J.R., Stubbart C., Porac J.F. (Eds.), Cognition Within and Between Organizations. Sage, Beverley Hills, CA, pp. 1-45.
58. Lauritzen, S.L. and D.J. Speigelhalter, 1988, ‘Local computations with probabilities on graphical structures and their application to expert systems,’ Journal of Royal Statistical Society Series B, 50:2 157-224.
59. Levi, A. and P.E. Tetlock, 1980, ‘A cognitive analysis of Japan’s 1941 decision for war,’ Journal of Conflict Resolution, 24: 195-211.
60. Levinthal, D. A.,1997, ‘Adaptation on rugged landscapes,’ Management Science, 43: 934-950.
61. Levinthal, D. and J. G. March, 1993, ‘The myopia of learning,’ Strategic Management Journal, 14: 95-112.
62. Lewin, A. Y., C. P. Long and T. N. Carroll, 1999, ‘The coevolution of new organizational forms,’ Organization Science, 10: 535–550.
63. Makinen, S. and M. Seppanen, 2007, ‘Assessing business model concepts with taxonomical research criteria,’ Management Research News, 30:10 735-748
64. March, J., 1991, ‘Exploration and exploitation in organizational learning. Organization Science, 2: 71-87.
65. McFarland, K. R., 2008, ‘Should you build strategy like you build software?,’ MIT SLOAN Management Review, 49:3 69-76
66. Milgrom, P. R., and J. Roberts, 1990, ‘The economics of modern manufacturing: Technology, strategy, and organization,’ American Economic Review, 80:511-528.
67. Miller, D., 1981, ‘Toward a new contingency perspective: The search for organizational gestalts,’ Journal of Management Studies, 18: 1-26
68. Miller, D., 1996, ‘Configurations revisited,’ Strategic Management Journal, 17: 505-512.
69. Mitchell, D. and C. Coles, 2003, ‘The ultimate competitive advantage of continuing business model innovation,’ The Journal of business strategy, 24:5 15-21.
70. Mohammed, S., R. Klimoski and J. Rentsch, 2000, ‘The measurement of team mental models: We have no shared schema,’ Organizational Research Method, 3: 123-165.
71. Morris, M., M. Schindehutte and J. Allen, 2003, ‘The entrepreneur's business model: Toward a unified perspective,’ Journal of Business Research, 58:6 726-735.
72. Nadkarni, S. and P. P. Shenoy, 1999, ‘A Bayesian network approach to making inferences in causal maps,’ European Journal of Operation Research, 128: 479-498
73. Nadkarni, S. and P. P. Shenoy, 2003, ‘A causal mapping approach to constructing Bayesian networks,’ Decision Support Systems, 38: 259-281
74. Nadkarni, S. and V. K. Narayanan, 2005, ‘Validity of the structural properties of text-based causal maps: An empirical assessment,’ Organizational Research Methods, 8:1 9-40
75. Narayana, V. K, V. K. Nakayama and D. J. Armstrong, 2005, Causal mapping for research in information technology, Hershey, USA: Idea Group Inc
76. Nooy W.D., A. Mrvar and V. Batagelj, 2005, Exploratory Social Network Analysis with Pajek, N.Y.: Cambridge University Press.
77. Olson, E. G., 2006, ‘Not by technology alone:sustaining winning strategies,’ Journal of Business Strategy, 27:4 33-42
78. Onisko,A., H. Wasyluk and M. J. Druzdzel, 2000, ‘Learning Bayesian network parameters from small data sets: Application of Noisy-Or gates,’ 12th European Conference on Artificial Intelligence
79. Osterwalder, A., Y. Pigneur and C. L. Tucci, 2005, ‘Clarifying business models: Origins, present, and future of the concept,’ Communications of the Association for Information Systems, 16: 1-25.
80. Pearl, J., 1986, ‘Fusion, propagation and structuring in belief networks,’ Artificial Intelligence, pp. 241-288
81. Pearl, J., 1988, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, San Mateo, CA.
82. Pohle, G. and M. Chapman, 2006, ‘IBM’s global CEO report 2006:business model innovation matters,’ Strategy and Leadership, 34:5 34-40
83. Porter, M. E.1996, ‘What is strategy?’ Harvard Business Review, 74:6:61-78.
84. Prahalad, C. K. and R. A. Bettis, 1986, ‘The dominant logic: A new linkage between diversity and performance,’ Strategic Management Journal, 7:6 485-501.
85. Rivkin,J. W., 2000, ‘Imitation of complex strategies,’ Management Science, 46: 824-844.
86. Romanelli, E., and M. L. Tushman, 1994, ‘Organizational transformation as punctuated equilibrium: An empirical test,’ Academy of Management Journal, 37: 1141-1166.
87. Ross, L.L. and R. I. Hall, 1980, ‘Infuence diagrams and organizational power,’ Administrative Science Quarterly, 25: 57-71.
88. Sawhney, M., R. C. Wolcott and I. Arroniz, 2006, ‘The 12 different ways for companies to innovate,’ MIT Sloan Management Review, 47:3 75-81.
89. Schweizer, L., 2005, ’Concept and evolution of business models,’ Journal of General Management. Henley-on-Thames, 31:2 37-56.
90. Shachter, R.D. and D.E. Heckerman, 1987, ‘A backwards view for assessment,’ AI Magazine, 8:3 55-61.
91. Shafer, S. M., H. J. Smith and J. C. Linder, 2005, ‘The power of business models,’ Business horizons, 48:3 199-207.
92. Shenoy, P.P. and G. Shafer, 1990, ‘Axioms for probability and belief-function propagation,’ In: Shachter, R.D., Levitt, T.S., Lemmer, J.F., Kanal, L.N. (Eds.), Uncertainty in Arti®cial Intelligence, 4: pp. 169-198..
93. Siggelkow, N., 2001, ‘Change in the presence of fit: The rise, the fall, and the renaissance of Liz Claiborne,’ Academy of Management Journal, 44: 838-857.
94. Siggelkow, N., 2002, ‘Evolution toward fit,’ Administrative Science Quarterly, 47:1 125-159
95. Siggelkow, N., 2002, ‘Misperceiving interactions among complements and substitutes: Organizational consequences,’ Management Science, 48:7 900-916
96. Singh, J. V., R. J. House, and D. J. Tucker, 1986, ‘Organizational change and organizational mortality,’ Administrative Science Quarterly, 31: 587-611.
97. Speigelhalter, D.J., A.P. Dawid, S.L. Lauritzen and R.G. Cowell, 1993, ‘Bayesian analysis in expert systems,’ Statistical Science 8:3 219-283.
98. Stubbart, C. I. and A. Ramaprasad, 1988, Probing Two Executives' Schematic Knowledge of the U.S. Stell Industry Using Cognitive Map, Greenwich, CT: JAI.
99. Teece, D. J., G. Pisano and A. Shuen, 1997, ‘Dynamic capabilities and strategic management,’ Strategic Management Journal, 18: 509-533.
100. Tikkanen, H., J. Lamberg, P. Parvinen and J. Kallunki, 2005, ‘Managerial cognition, action and the business model of the firm,’ Management Decision, 43:5/6 789-809.
101. Tushman, M. L. and O’Reilly III C. A., 1997, ‘The ambidextrous organization,’ Harvard Business School Publishing
102. Tushman, M. L., and O’Reilly III, C. A., 1996, ‘Ambidextrous organizations: Managing evolutionary and revolutionary change,’ California Management Review, 38:4 8-30
103. Tushman. M. and E. Romanelli, 1985, ‘Organizational evolution: A metamorphosis model of convergence and reorientation,’ Research in Organizational Behavior, 7: 171-222.
104. Weick, K. E., 1979. The social psychology of organizing. New York: McGraw-Hill.
105. Whittington, R., A. Pettigrew, S. Peck, E. Fenton, and M. Conyon, 1999, ‘Change and complementarities in the new competitive landscape: A European panel study, 1992-1996,’ Organization Science, 10: 583-600.
106. Zott, C. and R. Amit, 2006, ‘Exploring the fit between business strategy and business model: Implications for firm performance,’ INSEAD working paper.
三、網路資料
1. Hanneman, R. and M. Riddle, 2005, Introduction to social network methods.
2. Stähler, P., 2002, ‘Business Models as an Unit of Analysis for Strategizing,’ Patrick.Staehler@alumni.unisg.ch

指導教授

蔡明宏

審核日期

2008-7-19

推文