dc.contributor.advisor | 管郁君<br>諶家蘭 | zh_TW |
dc.contributor.advisor | Huang,E.Y.<br>Seng,J.L. | en_US |
dc.contributor.author (Authors) | 蔡文慧 | zh_TW |
dc.contributor.author (Authors) | Tsai,WenHui | en_US |
dc.creator (作者) | 蔡文慧 | zh_TW |
dc.creator (作者) | Tsai,WenHui | en_US |
dc.date (日期) | 2006 | en_US |
dc.date.accessioned | 18-Sep-2009 14:28:57 (UTC+8) | - |
dc.date.available | 18-Sep-2009 14:28:57 (UTC+8) | - |
dc.date.issued (上傳時間) | 18-Sep-2009 14:28:57 (UTC+8) | - |
dc.identifier (Other Identifiers) | G0093356014 | en_US |
dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/35221 | - |
dc.description (描述) | 碩士 | zh_TW |
dc.description (描述) | 國立政治大學 | zh_TW |
dc.description (描述) | 資訊管理研究所 | zh_TW |
dc.description (描述) | 93356014 | zh_TW |
dc.description (描述) | 95 | zh_TW |
dc.description.abstract (摘要) | 金融業是一個對資訊科技(Information Technology, IT)需求相當高的行業,相對於多數產業,其IT的建置時間較早,電子化程度亦趨向成熟。然而,由於市場激烈的競爭,為了提高企業整體營運績效與獲取競爭優勢,該產業仍必須投入龐大的資金於IT的應用。近年來,隨著國內政策的改革,跨產業併購已成為金融業未來發展的趨勢,其併購後所面臨的IT整合與更新再次帶動金融業對IT的需求。網際網路的蓬勃發展,亦提供金融業者新的競爭市場與商機,例如網路ATM等金融服務紛紛推出,隨之帶來的線上交易模式使得資訊安全議題更加受到重視,相關的IT應用成為金融業所考量的重點之一。 如此龐大的IT投資突顯了資訊科技評估的重要,一直以來,金融業的IT投資僅次於高科技產業或製造業,其資訊科技支出常佔營收一定的比例,若能有效掌握IT資本,必可協助企業做出最佳的投資決策。本研究即以資本的觀點定義IT資本,並以此為依據,建構一套IT資本的衡量構面與指標,透過個案訪談的方式深入了解金融業IT資本的概況以及驗證指標的適用性,藉此了解金融業所重視的衡量指標為何並進而探討之。 | zh_TW |
dc.description.abstract (摘要) | The Financial service industry places high demands upon information technology (IT). Compared with other industries (except for manufacturing-related industry), it not only begins IT implementation early but also has a better IT infrastructure. Owing to fierce competition in the financial markets, however, companies in the financial service industry still have to invest a huge amount of money in IT in order to enhance their whole performance and gain competitive advantages. In recent years, due to reformation of policies, across the field mergers and acquisitions have become the financial industry’s current trend. It not only makes financial firms spend more money on the integration and updating of IT systems after mergers and acquisitions but also stimulates the demand for IT at the same time. The growth of the Internet also provides financial service firms with new competitive markets and opportunities, such as e-ATM. In addition, due to the extensive use of the Internet and information systems, it makes firms pay close attention to information security issues and consider relevant IT applications to be a key point to focus on. As described above, the huge amount of investment in IT has shown the importance of IT assessment. In general, the financial industry’s IT investment is no less than in high-tech or manufacturing industries; and its IT spending often takes a large part of revenue. Therefore, if financial firms could have a good understanding of IT capital, it will help them to plan the best IT investment strategy. In this research, we define what IT capital is from the viewpoint of capital, and develop the performance dimensions and indicators of IT capital to help firms to understand and assess their IT capital. In addition, we observe the overview of IT capital and verify the applicability of performance indicators through interviewing five benchmark companies in the financial industry. By way of case study, we understand what performance indicators the financial industry values most and then discuss the relation between IT investment and firm performance. | en_US |
dc.description.tableofcontents | Chapter 1 Introduction 11.1 Research Background and Motivation 11.2 Research Issue 21.3 Research Objective 31.4 Research Flow 31.5 Organization of Thesis 3Chapter 2 Literature Review 52.1 IT Assessment Views 52.1.1 Resource-oriented View 52.1.2 Capability-oriented View 72.1.3 Contingency-oriented View 102.2 IT Investment and Firm Performance 122.3 IT Assessment in Financial Service Industry 16Chapter 3 Research Method 193.1 IT Capital 193.1.1 Intellectual Capital 193.1.2 IT Capital Definition 203.2 Research Dimensions and Indicator of IT Capital 223.2.1 Development of Dimensions and Indicators 223.2.2 Relationship between Theories and Dimensions and Indicators 253.3 IT Capital Questionnaire 293.3.1 Research Dimension in the Form of Questions – IT Input 293.3.2 Research Dimension in the Form of Questions – IT Output 313.4 Research Approach 343.4.1 Data Collection 343.4.2 Research Subjects 35Chapter 4 Case Study 364.1 Case 1 : A Company 364.1.1 Case Background 364.1.2 IT Capital – Input 374.1.3 IT Capital – Output 384.1.4 IT Capital – Management 384.1.5 Indicator Applicability Evaluation 394.2 Case 2 : B Company 414.2.1 Case Background 414.2.2 IT Capital – Input 414.2.3 IT Capital – Output 424.2.4 IT Capital – Management 434.2.5 Indicator Applicability Evaluation 444.3 Case 3 : C Company 464.3.1 Case Background 464.3.2 IT Capital – Input 464.3.3 IT Capital – Output 474.3.4 IT Capital – Management 484.3.5 Indicator Applicability Evaluation 504.4 Case 4 : D Company 524.4.1 Case Background 524.4.2 IT Capital – Input 524.4.3 IT Capital – Output 534.4.4 IT Capital – Management 544.4.5 Indicator Applicability Evaluation 544.5 Case 5 : E Company 574.5.1 Case Background 574.5.2 IT Capital – Input 574.5.3 IT Capital – Output 584.5.4 IT Capital – Management 594.5.5 Indicator Applicability Evaluation 61Chapter 5 Research Discussion 635.1 Rank of IT Capital Performance Indicators 635.1.1 Indicators for IT Input 635.1.2 Indicators for IT Output 645.2 Analysis results of Performance Indicators 685.2.1 Performance indicators in the dimension of IT Input 685.2.2 Performance indicators in the dimension of IT Output 725.3 Managerial Implications 785.4 Research Limitation 80Chapter 6 Conclusions and Future Research Directions 816.1 Summary 816.2 Future Research Works 81References 83Appendix A: IT Capital - Indicator Applicability Evaluation 85Appendix B: IT Capital Questionnaire in Financial Industry 87List of TablesTable 2.1 Linking Business Strategy with Corporate Goals for IT 15Table 3.1 Dimensions and Indications Based on Resource-oriented View 25Table 3.2 Dimensions and Indications Based on Capability-oriented View 26Table 3.3 Dimensions and Indications Based on Contingency-oriented View 26Table 3.4 Dimensions and Indications Based on Intellectual Capital Research 27Table 3.5 Dimensions and Indications Based on Types of Information Systems 28Table 3.6 Dimension of IT Human Resources 29Table 3.7 Dimension of IT Infrastructure 30Table 3.8 Dimension of IT Application Capability 30Table 3.9 Dimension of IT R&D Capability 30Table 3.10 Dimension of Organizational Structure and Culture 31Table 3.11 Dimension of Strategy Contribution and Decision Quality 31Table 3.12 Dimension of Innovative Products and Services 32Table 3.13 Dimension of Reducing Cost 32Table 3.14 Dimension of Process Efficiency 33Table 3.15 Dimension of Supplier/Customer Relationship 33Table 3.16 Dimension of Knowledge Management & Organizational Learning 34Table 3.17 Dimension of Intellectual Property 34Table 3.18 The Introduction of Case Company and Interview Subject 35Table 4.1 Degree of Indicators Applicability – A Company 40Table 4.2 Degree of Indicators Applicability – B Company 45Table 4.3 Degree of Indicators Applicability – C Company 51Table 4.4 Degree of Indicators Applicability – D Company 56Table 4.5 Degree of Indicators Applicability – E Company 62Table 5.1 The Degree of Indicators Applicability – IT Input 66Table 5.2 The Degree of Indicators Applicability – IT Output 67Table 5.3 Analysis in Dimension of IT Human Resource 68Table 5.4 Analysis in Dimension of IT Infrastructure 69Table 5.5 Analysis in Dimension of IT Application Capability 70Table 5.6 Analysis in Dimension of IT R&D Capability 71Table 5.7 Analysis in Dimension of Organizational Structure & Culture 72Table 5.8 Analysis in Dimension of Strategy Contribution & Decision Quality 72Table 5.9 Analysis in Dimension of Innovative Products & Services 73Table 5.10 Analysis in Dimension of Reducing Cost 74Table 5.11 Analysis in the Dimension of Process Efficiency 75Table 5.12 Analysis in the Dimension of Supplier/Customer Relationship 76Table 5.13 Analysis in the Dimension of KM & Organizational Learning 77Table 5.14 Analysis in the Dimension of Intellectual Property 78List of FiguresFigure 1.1 Research Flow 4Figure 2.1 IT Assets 6Figure 2.2 Delivering Business Value from Information Technology 7Figure 2.3 Concept and Financial Justification Stakeholders 8Figure 2.4 The Benefits Analysis for MRPII 9Figure 2.5 IS Assessment Selection Model 11Figure 2.6 IT Business Value Model 13Figure 2.7 Conceptual Model of IT Business Value 14Figure 2.8 Corporate Goals for IT 16Figure 2.9 The Result of Marginal Product 17Figure 2.10 A Research Model for E-Business Value Based on the TOE Framework 18Figure 3.1 Skandia Market Value Scheme 20Figure 3.2 IT Capital Structure 21Figure 3.3 IT Capital Model 24 | zh_TW |
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dc.language.iso | en_US | - |
dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0093356014 | en_US |
dc.subject (關鍵詞) | 資訊科技資本 | zh_TW |
dc.subject (關鍵詞) | 資訊科技評估 | zh_TW |
dc.subject (關鍵詞) | 智慧資本 | zh_TW |
dc.subject (關鍵詞) | 企業績效 | zh_TW |
dc.subject (關鍵詞) | IT Capital | en_US |
dc.subject (關鍵詞) | IT Assessment | en_US |
dc.subject (關鍵詞) | Intellectual Capital | en_US |
dc.subject (關鍵詞) | Firm Performance | en_US |
dc.title (題名) | 企業資訊科技資本衡量指標之研究-以金融業為例 | zh_TW |
dc.title (題名) | An IT Capital Performance Indicator Study-A Case Study Approach in Financial Service Industry | en_US |
dc.type (資料類型) | thesis | en |
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