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系統識別號 U0026-0812200913393730
論文名稱(中文) 組織寬裕資源、產業群聚及創新績效之關聯性研究
論文名稱(英文) Organizational slack, Industry Cluster, and Innovation performance
校院名稱 成功大學
系所名稱(中) 企業管理學系碩博士班
系所名稱(英) Department of Business Administration
學年度 95
學期 2
出版年 96
研究生(中文) 莊育澤
研究生(英文) Yu-Tse Chuang
電子信箱 s0904215@hotmail.com
學號 r4694144
學位類別 碩士
語文別 英文
論文頁數 50頁
口試委員 口試委員-張紹基
口試委員-吳學良
指導教授-陳忠仁
口試委員-史習安
中文關鍵字 外溢  產業群聚  寬裕資源  地理集中  標靶分析 
英文關鍵字 Slack  Geographic concentration  Industry cluster  Spillovers  A dartboard approach  Innovation performance 
學科別分類
中文摘要 長久以來,製造業在地理空間上聚集的現象受許多不同學門的學者所關注。然而近年來,受到國際化及自由主義的衝擊,伴隨著經濟和社會結構的快速變動,使得創新逐漸成全球競爭優勢中重要的一項挑戰。因為如此,如何培育國家創新能力成為越來越重要的議題。Porter (2001) 指出國家創新能力係指在政治上與經濟上兩者的創新,並且產生一些與商業事務相關的創新。因為在過去二十多年的所有產業群聚中,創新以及新科技在商業領域有著許多的應用,並且形成一個非均勻分佈的現象。因此,產業群聚所帶來的影響被學者及為政者更加的重視。
本篇研究的目的在於尋找出組織寬裕資源與創新績效的關係,並且利用產業群聚集中度做為調和變數,觀察其在寬裕資源與創新績效之間所扮演的角色,並以台灣上市上櫃公司為樣本進行實證。集中度指標是由Ellison及Glaeser兩位教授於1997年所發展出來的。本研究是以美國專利及商標局為專利資料庫來源,777家台灣的上市上櫃公司為樣本,樣本橫跨20個不同的製造業,分別記錄其2年(2003-2004)的專利資料和其它的變數進行實證研究。
研究結果指出,已吸收寬裕資源與未吸收寬裕資源皆能夠有效的增加組織創新績效。已吸收寬裕資源呈現反向調和的情況,亦即,在低產業群聚集中度中,已吸收寬裕資源增加組織創新績效的程度比在高產業群聚集中度要來的高。而未吸收寬裕資源則呈現正向調和的相反情況,亦即,在高產業群聚集中度下,未吸收寬裕資源增加組織創新績效的程度比在低產業群聚集中度要來的高。研究結果建議經理人應該要保留一定的寬裕資源來促進組織創新。另外一個管理意涵在於,因為不同形式的寬裕資源在不同產業群聚集中度下扮演著不同的角度,因此經理人應該視其所在的產業群聚集中度高低程度,對於組織寬裕資源進行調整,才能夠使寬裕資源真正發揮促進組織創新績效的效果。
英文摘要 Recently, with the rapidly changing of economic and social structure, and the impact of internationalization and liberalization, innovation has become the defining challenge for global competitiveness. For this reason, the trend of development national innovation is more and more important. In the last two decade, because of innovation and the commercialization of new technologies take place disproportionately in clusters that the effect of industry cluster more valued.
The purpose of this research is to offer an empirical that to find the relationship between organizational slack and innovation performance in industry cluster of Taiwan manufacturing industries. The study examines innovative performance using a database of patents in U.S. The innovative record of 777 TSE and OTC manufacturing firms during 2 years (2003-2004) is examined and related to employment in the region where they are located, and other variables.
The results show that both absorbed slack and unabsorbed slack can enhance firms’ innovation performance. Absorbed slack is a negative moderator, that is, absorbed slack is a negative moderator, that is, the degree absorbed slack increase firms’ innovation performance is higher in lowly concentrated cluster than in highly concentrated cluster. On the contrary, unabsorbed slack is a positive moderator, that is, the degree unabsorbed slack increase firms’ innovation performance is higher in highly concentrated cluster than in lowly concentrated cluster. It is recommended that manager need to keep organizational slack in order to facilitate innovation. Another implication for managers is that different form of slack in industry cluster would play dissimilar role, they should adjust slack quantity according to degree of cluster concentration where they in.
論文目次 ABSTRACT I
摘要 II
Table List V
Figure List VI

CHAPTER 1 INTRODUCTION - 1 -
1.1 Background and Motive - 1 -
1.2 Research Purpose - 3 -
1.3 Research Procedure - 4 -
1.3.1 The organization of this research - 4 -
1.3.2 Research flow - 4 -

CHAPTER 2 LITERATURE AND HYPOTHESES - 6 -
2.1 Literature Background - 6 -
2.1.1 The background of industry cluster- 6 -
2.1.2 Industry cluster: a definition - 7 -
2.1.3 The measure methods of geographic concentration - 9 -
2.1.4 The background of organizational slack - 12 -
2.2 Hypotheses Development - 13 -
2.2.1 Organization slack and innovation performance- 13 -
2.2.2 Cluster, organizational slack and innovation performance- 16 -

CHAPTER 3 RESEARCH DESIGN AND METHODOLOGY - 21 -
3.1 Research Framework - 22 -
3.2 Research Hypotheses - 23 -
3.3 Construct Measurement - 24 -
3.3.1 Organizational slack - 24 -
3.3.2 Innovation performance - 24 -
3.3.3 Cluster concentration - 24 -
3.3.4 Control variables - 25 -
3.4 Data Collection and Sampling - 28 -
3.5 Statistical Analysis - 32 -
3.5.1 Descriptive statistic and correlation analysis- 32 -
3.5.2 Regression analysis and moderated hierarchical regression analysis - 32 -
3.5.3 Draw the diagram of interaction effect - 33 -

CHAPTER 4 RESEARCH ANALYSIS AND RESULT - 34 -
4.1 Descriptive Statistics and Correlation Analysis- 34 -
4.2 Regression Results - 36 -
4.2.1 Regression result between control variable and innovation performance - 36 -
4.2.2 Regression result between organizational slack and innovation performance - 36 -
4.2.3 Regression result between cluster effect and innovation performance - 37 -
4.2.4 The moderating effect of cluster effect between organizational slack and innovation performance- 37 -
4.3 Draw the Diagram of Interaction Effect - 39 -

CHAPTER 5 DISCUSSION AND CONCLUSIONS - 41 -
5.1 Discussion and Implications - 41 -
5.2 Limitation and Future Research - 44 -

References - 46 -
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