跳到主要內容

臺灣博碩士論文加值系統

(44.212.99.208) 您好!臺灣時間:2024/04/23 21:35
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:游文翰
研究生(外文):Wen-han Yu
論文名稱:外部搜尋資訊、知識資本對發於創新績效的影響
論文名稱(外文):A Study of the Influence of External Search and Knowledge Stock on Innovation Outcome
指導教授:史習安史習安引用關係
指導教授(外文):Hsi-an Shih
學位類別:碩士
校院名稱:國立成功大學
系所名稱:國際企業研究所碩博士班
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2009
畢業學年度:97
語文別:中文
論文頁數:54
中文關鍵詞:創新績效知識資本廣(深)度外部搜尋廣(深)度
外文關鍵詞:External Search breadth (depth)Knowledge Stock breadth (depth)Innovation outcome
相關次數:
  • 被引用被引用:0
  • 點閱點閱:285
  • 評分評分:
  • 下載下載:8
  • 收藏至我的研究室書目清單書目收藏:0
創新績效的發展會是將來公司生存的關鍵,公司擁有的知識資本對於創新發展一直有顯著的影響,然而,單純依靠公司內部資訊與知識資本來發展創新,早已不合時宜,因此,外部搜尋資訊對於創新績效的影響逐漸受到重視,過去研究顯示出,外部搜尋資訊對創新績效的影響性是很顯著的。故本研究欲探討廠商如何利用兩種知識資源的搭配-外部搜尋資訊與知識資本,提升廠商本身的創新績效,進而提升公司的競爭力。過去曾有研究將外部搜尋分成廣度與深度兩種面向來衡量,不過卻沒有研究把知識資本分成廣度和深度兩種面向來衡量,本研究希望能以深廣度兩種面向分析出最適合的搭配組合。另外,本研究將創新績效分成質量以及數量兩種面向來衡量,希望能藉此查看出兩種績效面向的差異性,也可更全面性地討論創新績效此變數。
本研究選取的樣本主體是美國半導體產業,選出美國186家半導體廠商,搜尋各家公司專利資料時,共162家公司查詢到專利資料,最後刪除遺漏觀察值的廠商103家,因此,本次樣本主體就是半導體產業的59家公司。採取負二項迴歸的統計估計方法,分成創新質量與創新數量兩條迴歸式,分別看出不同績效面向的影響效果 。
研究結果顯示,質量此面向的確顯示出外部搜尋資訊的重要性,不論是廣度還是深度,都必須掌握外部搜尋的最適點,搜尋過多或過少皆不會達成良好的創新績效;外部搜尋與知識資本的最適搭配組合,結果顯示外部搜尋深度必須搭配知識資本廣度,此種組合創造出最優良的創新質量。數量此面向則是有另一重大發現,發現其知識資本的影響性遠比外部搜尋顯著,這是跟創新質量非常不同的結果。
Innovation will be critcial and for the company, and Knowledge Stock always that the company own has the siginificant affect on innovation. However, the imporatnce of External Search on innovation development is getting more and more. Previous research has shown the result about External Search's effect, but there is no study to discuss the comprehensive effects on innovation outcome between External Search and Knowledge Stock. So this research is mainly designed to examine the moderating effects of Knowledge Stock. In this research, there are two diemensions to analyse and represent the three constructs respectively.
The primary sample of this study is the american semiconductor industry. According to the company list from the database, there are 186 companies on the list. The next step is to find out the patent data of all the companies, and there are 162 companies that have the patent data. After the deleting process that companies have missing observation, there are still 59 companies in our sample. In addition, this research use the Negative Binomial Regression estimation to test resaerch hypotheses. Besides, there are two regressions to stand for the Innovation Quality and Innovation Quantity respectively.
Our findings can be summarized as follows. First, External Search has the most optimal point to affect the Innovation Quality, without respect to External Search breadth or depth. Secondly, in the quality diemension, the best moderating effect is between External Search depth and Knowledge Stock breadth. Finally, Knowledge Stock has the more significant effect than External Search in the quantity diemension. These findings may contribute to the acaemic research and practical implications.
目錄

第一章 緒論...............................................1
第一節 研究動機 ......................................1
第二節 研究目的.......................................2
第三節 研究架構.......................................3
第二章 文獻探討...........................................4
第一節 創新績效.......................................4
第二節 外部搜尋資訊...................................6
第三節 知識資本......................................11
第三章 研究方法..........................................16
第一節 研究架構......................................16
第二節 研究假設......................................17
第三節 樣本選擇與資料來源............................17
第四節 研究變數與衡量方法............................20
第五節 統計方法與分析................................29
第六節 Hausman Test 結果判定.........................31
第七節 研究設計......................................31
第四章 研究結果分析與討論................................32
第一節 樣本敘述性統計與相關係數矩陣....................33
第二節 負二項迴歸之結果分析............................36
第三節 假設驗證歸結 ...................................44
第五章 結論與建議........................................45
第一節 研究結論與貢獻..................................45
第二節 研究限制........................................47
第三節 研究建議........................................47
參考文獻.................................................51

圖目錄

圖3-1 研究架構.........................................16

表目錄

表3-1 專利資料蒐集整理................................ 20
表3-2 標的專利權年份選擇.............................. 22
表3-3 創新績效的年份選擇................................24
表3-4 外部搜尋的年份選擇................................26
表3-5 知識資本的年份選擇................................28
表4-1 創新質量的敘述性統計與相關係數矩陣................34
表4-2 創新數量的敘述性統計與相關係數矩陣................35
表4-3 <外部搜尋廣度>對<創新績效質量>的影響..............38
表4-4 <外部搜尋深度>對<創新績效質量>的影響..............39
表4-5 <外部搜尋廣度>對<創新績效數量>的影響..............42
表4-6 <外部搜尋深度>對<創新績效數量>的影響..............43
表4-7 研究假設驗證結果................................. 44
Ahuja, G. (2000). Collaboration networks, structural Holes, and innovatons: a longitudinal study. Administrative Science Quarterly, 425-455.
Ahuja, G. and C.M. Lampert (2001). Entrepreneurship in the large corporation: a longitudinal study of how established firms create breakthrough inventions. Strategic Management Journal, 521-543.
Allen, T. J. (1971). Communication networks in R&D labs. R&D Management: 14-21.
Argyris, C. and D. Schon (1978). Organizational learning. Reading,.
Arora, A. and A. Gambardella (1990). Complementarities and external linkages: the strategies of large firms in biotechnology. Journal of Industrial Economics, 361-379.
Cohen, W. M. and F. Malerba (2001). Is the tendency to variation a chief cause of progress? Industrial and Corporate Change ,587-608.
Cohen, W. M. and D. A. Levinthal (1990). Absorptive capacity : a new perspective on learning and innovation. Administrative Science Quarterly, 128-152.
De Propris, L. (2002). Types of innovaion and inter-firm co-opearation. Entrepreneurship & Regioanl Development , 337-353.
Dosi, G. (1988). Sources, procedures, and microeconomic effects of innovation. Journal of Economic Litera- ture ,1120-1171.
Dosi, G., R. R. Nelson, et al. (2000). The Nature and Dynamics of Organizational Capabilities, Oxford University Press, Oxford.
Eisenhardt and Tabrizi (1995). Accelerating adaptive processes: Product innovation in the global computer industry. Administrative Science Quar- terly, 84-110.
Fleming and Sorenson (2001). Technology as a com- plex adaptive system: evidence from patent data. Research Policy ,1019-1039.
Gavetti, G., D. A. Levinthal, et al. (2005). Strategy making in novel and complex worlds: the power of analogy. Strategic Management Journal ,691-712.
Grant, R. M. (1996). Prospering in dynamically-competitive environments: organizational capability as knowledge-integration. Organizational Science,375-387.
George, G., R. Kotha, et al. (2008). Entry into Insular Domains: A Longitudinal Study of Knowledge Structuration and Innovation in Biotechnology Firms. Journal of Management Studies 45(8): 1448-1474.
Henard, D. H. and D. M. Szymanski (2001). Why some new products are more successful than others. Journal of Marketing Research, 362-375.
Henderson R and I. Cockburn (1994). Measuring competence? exploring firm effects in pharmaceutical research. Strategic Management Journal, 63-84.
Huber, G. P. (1991). Organizational learning: the contributing process and the literatures. Organization Science: A Journal of the Institute of Management Sciences, 88-115.
Jasjit and Singh (2005). Distributed R&D, cross-regional knowledge integration and qulality of innovation output. Academy of International Business .
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(6): 1183-1194.
Kauffman, S., J. Lobo, et al. (2000). Optimal search on a technology landscape. Journal of Economic Behavior & Organization, 141-166.
Koput (1997). A chaotic model of innovative search: some answers, many questions. Organization Science ,243–263.
Kyriakopoulos, K. and K. d. Ruyter (2004). Knowledge stocks and information flows in new product development. Journal of Management Studies, 41(8), 1469-1498.
Laursen, K. and A. Salter (2006). Open for innovation: the role of openness in explaining innovation performance among U.K. manufacturing firms. Strategic Management Journal ,27(2), 131-150.
Levinthal and J. March (1981). A model of adaptive organizational search. Journal of Economic Behav- ior and Organization, 307-333.
Levinthal D and J. March (1993). The myopia of learning. Strategic Management Journal, 95-112.
March, J. G. (1991). Exploration and exploitation in organizational learning. Organization Science, 71-87.
Martin, X. and W. Mitchell (1998). The influence of local search and performance heuristics on new design introduction in a new product market. Research Policy, 753-771.
McCullagh, P. and J. Nelder (1989). Generalized linear models. New York:, Chapman & Hall.
Miller, D. J., M. J. Fern, et al. (2007). "The use of knowledge for technological innovation within diversified firms. Academy of Management Journal 50(2): 307-326.
Moorman, C. and A. S. Miner (1997). The impact of organizational memory on new product performance and creativity. Journal of Marketing Research, 91-106.
Nelson, R. and. S. Winter. (1982). An Evolutionary Theory of Economic Change., Harvard University Press,Cambridge.
Patel, P. and K. Pavitt (1997). The technological competencies of the world’s largest firms: complex and path dependent, but not much variety. Research Policy ,141-156.
Romijn, H. and M. Albaladejo (2002). Determinants of innovations capability in small electronics and software firms in southeast England. Research Policy ,1053-1067.
Rosenkopf, L. and A. Nerkar (2001). Beyond local search: boundary-spanning , exploration , and impact in the optical disc industry." Strategic Management Journal 22(4): 287.
Sorescu, A. B. and J. Spanjol (2008). Innovation's effect on firm value and risk: insights from consumer packaged goods. Journal of Marketing, 72(2): 114-132.
Starbuck, W. H. (1992). Learning by knowledge-intensive firms. Journal of Management Studies ,713-740.
Subramanian, M. and N. Venkatraman (2001). Determinants of transnational new product development capability: test the influence of transferring and deploying tacit overseas knowledge. Strategic Management Journal ,359-378.
Subramanian, M. and M. A. Youndt (2005). The influence of intellectual capital on the types of innovative capabilities. Academy of Management Journal ,450-463.
Yayavaram, S. and G. Ahuja (2008). Decomposability in knowledge structures and its Impact on the usefulness of inventions and knowledge-base malleability. Administrative Science Quarterly 53(2): 333-362.
Youndt, M. A., M. Subramanian, Z, et al. (2004). Intelllectual capital profiles: an examination of investments and returns. Journal of Management Studies, 27.
Zhang, J., C. Baden-Fuller, et al. (2007). Technological knowledge base, R&D organization structure and alliance formation: Evidence from the biopharmaceutical industry. Research Policy, 36(4), 515-528.
連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top