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研究生:康家豪
研究生(外文):Kang,Jia-Haur
論文名稱:企業資訊科技資本衡量指標之研究-以高科技製造業為例
論文名稱(外文):An IT Capital Performance Indicator Study - A Case Study Approach in High-Tech Industry
指導教授:管郁君管郁君引用關係諶家蘭諶家蘭引用關係
指導教授(外文):Huang,Eugenia Y.Seng,Jia-Lang
學位類別:碩士
校院名稱:國立政治大學
系所名稱:資訊管理研究所
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2006
畢業學年度:94
語文別:英文
論文頁數:85
中文關鍵詞:資訊科技資本資訊科技評價無形資產績效指標企業績效
外文關鍵詞:IT CapitalIT AssessmentIntangible AssetsPerformance IndicatorFirm Performance
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資訊科技投資的績效要如何評估,是所有資訊經理人關切的議題。將資訊科技有效整合到企業核心程序,是企業對於資訊科技的首要目標,但價值的產生要如何衡量、對績效形成怎樣的影響,卻很難在財務報表或其他有形的評估方式中表現出來。企業無形資產中存在著各種的智慧資本,雖然單獨以資訊科技無法帶來足夠競爭優勢,但若以資訊科技的力量來結合其他無形的資本,確能產生顯著的價值。
本研究回顧有形與無形資產的衡量方法,提出資訊科技資本的概念來整合既有方法,以評估企業資訊科技的效益。資訊科技資本是組織或公司長期累積資訊科技的能力,包含有形與無形的資產。資訊科技資本要如何衡量,是否可以分解出適當的構面,以幫助企業快速評量資訊科技資本的流量與存量呢?本研究初步建構一套衡量的構面與指標,期望透過可標準化衡量的指標,讓企業對於資訊科技的管理與維護,有更合適方便的方法。
高科技產業的環境變動迅速,對資訊科技的應用需求更形重要,如何快速掌握資訊科技的能力,是企業能夠快速運用策略的決勝關鍵。本研究訪談六家高科技產業個案公司,驗證本研究提出的資訊科技資本指標,並請資訊經理人針對指標提供適用分數,做為驗證指標發展的有效性評分。
Assessing the performance of Information Technology (IT) investments is an issue that concerns every IT manager. It is an enterprise’s primary goal to integrate IT into critical business processes effectively, but the value and influence of a firm’s performance is very difficult to show in financial statements and quantify using regular assessment methods. This research first reviews the existing approaches in measuring tangible and intangible IT assets and then points out the IT capital which is a new concept to integrate the existing approaches in order to tackle the measure and quantification issue. IT capital is the IT ability that an organization and an enterprise accumulate over a period of time to gain the competitive advantages for companies, including tangible and intangible benefits. This study examines the development of a set of dimensions and indicators to assess IT capital. The research approach is case study orientation. There are six live case studies we have conducted to develop and verify the set of performance indicators for IT capital. A questionnaire approach was taken to gather the scores from the IT managers to provide the validity of the indicator development.
1. Introduction 1
1.1. Research Background 1
1.1.1. Growth of IT Investment 1
1.1.2. Importance of Intellectual Capital (IC) 2
1.1.3. Development of IC Research 3
1.1.4. Development of High-Tech Industry 4
1.2. Research Motivation 4
1.2.1. IT Productivity Paradox 4
1.2.2. Measurement of Intangible Assets 5
1.2.3. An Assessment Tool for Practitioners 5
1.3. Research Issues 6
1.4. Research Objective 6
1.5. Research Limitations 6
1.6. Research Flow 6
2. Literature Review 8
2.1. The Issues of IT 8
2.2. Views of IT Assessment 8
2.2.1. Resource-Oriented View 8
2.2.2. Capability-Oriented View 11
2.2.3. Management-Oriented View 14
2.3. Performance Indicators in High-Tech Industry 16
2.3.1. IC Indicators of PIP project in the IT Sector 16
2.3.2. Performance Indicators of e-Commerce in the Manufacturing Sector 18
3. Research Method 21
3.1. Definition of IT Capital 21
3.2. Development of Indicators 22
3.3. Research Dimensions of IT Capital 25
3.3.1. Dimensions of IT Capital 25
3.3.2. Research Dimensions in the Form of Questions 26
4. Case Studies 33
4.1. Case Study 1 33
4.1.1. Background 33
4.1.2. IT Capital – Input 33
4.1.3. IT Capital – Output 35
4.1.4. IT Capital – Management 36
4.2. Case Study 2 36
4.2.1. Background 36
4.2.2. IT capital – input 36
4.2.3. IT capital – output 37
4.2.4. IT capital – management 38
4.3. Case Study 3 39
4.3.1. Background 39
4.3.2. IT capital – input 39
4.3.3. IT capital – output 40
4.3.4. IT capital – management 41
4.4. Case Study 4 42
4.4.1. Background 42
4.4.2. IT capital – input 42
4.4.3. IT capital – output 42
4.4.4. IT capital – management 43
4.5. Case Study 5 43
4.5.1. Background 44
4.5.2. IT capital – input 44
4.5.3. IT capital – output 45
4.5.4. IT capital – management 46
4.6. Case Study 6 46
4.6.1. Background 46
4.6.2. IT capital – input 46
4.6.3. IT capital – output 47
4.6.4. IT capital – management 48
5. Research Implications 49
5.1. A Preliminary Set of Performance Indicators 49
5.2. Differences in Indicators between Cases 57
5.3. The Implications of IT Capital 63
6. Concluding Remarks and Future Research Work 65
References 66
Appendix A: IT Capital Questionnaire 70
Appendix B: IT Capital Performance Indicators Adaptation 76
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