透過您的圖書館登入
IP:18.116.85.72
  • 學位論文

高科技產業與傳統產業創新能力,決定創新的因素與創新績效之比較

A Comparation of Innovation Ability, Innovation Factor and Innovation Performance between High-tech and Traditional Industries.

指導教授 : 李再長 李文瑞

摘要


2000年到2002年,許多高科技股已不再風光,取而代之的是獲利良好的傳產股。報導指出傳統產業正積極投入創新,所以希望藉這個時機比較高科技產業與傳統產業的創新能力、創新因素及創新績效有何差別,是否真如之前研究所示,高科技產業在創新上仍領先傳統產業許多,並提出雙方可互相學習之處。 本研究採用雪球抽樣,一家公司發放約10~20份,共回收高科技26家、傳統產業19家,全部472份問卷,回收率為82.8%。並運用均值分析、因素分析、皮爾森相關、獨立樣本T檢定、多變量分析和質性訪談來進行描述和驗證。結果顯示高科技產業的「團隊成員互動」、「法規、程序的影響」和「理論與實務的激盪」都優於傳統產業,創新績效方面,創新利潤與資本額的比率、創新的件數和種類數都是高科技產業優於傳統產業。成立年數對兩者的創新文化和創新的動機都有顯著影響;員工人數對兩者的創新文化、創新氣氛營造和激發創新方式也都有顯著影響;資本額則對兩者的創新氣氛營造、創新的動機、激發創新方式有顯著影響,而大型的高科技公司在各方面表現最佳,傳統產業在規模擴張後創新方面表現較差。整體而言高科技產在創新方面仍優於傳產,但是在創新成本控制上傳統產業較佳。

並列摘要


During 2000 to 2002 year, many hi-tech stocks were no long shining, but well profit traditional industries’ instead. Reports indicated that traditional industries actively input the innovation. So I’d like to compare the innovation abilities, innovation factors and innovation performance between hi-tech and traditional industries at this opportunity. I try to discuss those innovation abilities and factors that they have emphasized and obtained, in order to find out what they could learn from each other. This research used snow ball sampling. The research has retrieved totally 472 copies of questionnaire from 27 hi-tech companies and 19 traditional industries. The retrieve rate is 82.8%. Using Mean Analysis, Pearson Correlation, Independent T test, MANOVA and quality interview to describe the research results and to certify. The out come shows the hi-tech are superior to the traditional industries in team worker interaction, rule influence and theory-practical interaction. In the aspect of innovation performance, the hi-tech companies are superior to the traditional industries in innovation profit-capital rate, innovation articles, and classifications. The company years has positive effect on innovation culture and motivations to both hi-tech companies and traditional industries. The employee number has obvious affection on innovation culture, atmosphere and method build-up to both hi-tech companies and traditional industries. The capital has evident influence on innovation atmosphere, motivations and method build-up stimulating to hi-tech companies and traditional industries. However, the huge scale companies have a best performance at every aspect. But the extended traditional industries have less innovation. To sum up, the hi-tech companies are superior to traditional industries on innovation; the traditional industries are good at innovation cost controlling.

參考文獻


[14] 黃德舜,企業財務分析-企業價值的創造及評估,華泰文化事業股份有限公司,1998年9月初版,pp.341-343。
[4] 經濟部,1999~2000產業技術白皮書,台灣經濟研究院,2000。
[13] 翁明祥,“技術創新政策與事業經營策略的配合對技術創新績效之影響─台灣合成樹脂業實證研究”,博士學位論文,政治大學企業管理研究所,1989。
[27] Hair, Jr. Joseph, F., Anderson, R. E., Tatham, R. L. and W. C. Black(1995). “Multivariate Data Analysis”, 3rd ed., N. Y.: Macmillan Publishing Company.
[5] 彭景巍,Cheers, October 2002, pp.84-89.

被引用紀錄


黃馨嬅(2008)。應用資料包絡分析法來評估國際企業經營與市場價值績效之研究─以傳統產業為例〔碩士論文,長榮大學〕。華藝線上圖書館。https://doi.org/10.6833/CJCU.2008.00087
林婉如(2008)。傳統產業推動創新服務的研究-以色彩服務為例〔碩士論文,元智大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0009-1707200813204900
莊清俊(2009)。財富管理部門引進新商品考量因素之研究-層級程序分析法〔碩士論文,朝陽科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0078-1111200915521971

延伸閱讀