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研究生:馮國卿
研究生(外文):Feng,Kuo-Ching
論文名稱:企業採用知識管理系統之績效評估
論文名稱(外文):Implementation of Knowledge Management Systems and Firm Performance
指導教授:劉文卿劉文卿引用關係
指導教授(外文):Liou,Wen-Ching
學位類別:博士
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:2004
畢業學年度:92
語文別:德文
論文頁數:74
中文關鍵詞:知識管理
外文關鍵詞:knowledge Management
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Given that information systems researchers and practitioners often debate over the contribution of IT investment to firm performance, this study examines the impacts of adopting KMS on firm performance. Knowledge management systems are IT-based systems developed to support and enhance the organizational processes of knowledge creation, storage, retrieval, transfer, and application. Although many firms have implemented KMS, sparse empirical evidence reveals the impacts of KMS on firm performance. This research attempts to analyze the impacts of KMS on the firms that had adopted KMS with the data extracted from the COMPUSTAT. The results indicate that these firms significantly reduce administrative costs as well as operating expenses and improve productivity in the second year after adopting KMS. To control the macroeconomic effects, the study also compares the financial performance of KMS adopters and non-adopters in a pairwise design. DuPont analysis emphasizes on return on assets (ROA) decomposition, which allows us to examine the relationship of efficiency and profitability on the firm performance between KMS adopters and non-adopters. The results indicate that not only does the adoption of KMS decrease administrative cost, but it also pays off in a combination of increased profitability and efficiency.
This study further examines the longitudinal impact of KMS adoption on firm performance by matching 103 firms with peer firms that have not adopted KMS. Results indicate that administrative costs, operating expense, return on assets, and return on sales (ROS) are significantly better over a 3-year period for KMS adopters, as compared to non-adopters. Furthermore, pertaining to cost and profit ratios, significant differences arise because the financial performance of non-adopters decreases over time while it holds steady for KMS adopters. The findings verify some of our hypotheses, provide new insights into the productivity paradox associated with KMS adopters, and confirm that KMS adopters indeed gain a competitive advantage over non-adopters. By examining the industry effect between manufacturing firms and service firms, this dissertation empirically confirms that manufacturing firms obtain a more viable performance than service firms.
Given that information systems researchers and practitioners often debate over the contribution of IT investment to firm performance, this study examines the impacts of adopting KMS on firm performance. Knowledge management systems are IT-based systems developed to support and enhance the organizational processes of knowledge creation, storage, retrieval, transfer, and application. Although many firms have implemented KMS, sparse empirical evidence reveals the impacts of KMS on firm performance. This research attempts to analyze the impacts of KMS on the firms that had adopted KMS with the data extracted from the COMPUSTAT. The results indicate that these firms significantly reduce administrative costs as well as operating expenses and improve productivity in the second year after adopting KMS. To control the macroeconomic effects, the study also compares the financial performance of KMS adopters and non-adopters in a pairwise design. DuPont analysis emphasizes on return on assets (ROA) decomposition, which allows us to examine the relationship of efficiency and profitability on the firm performance between KMS adopters and non-adopters. The results indicate that not only does the adoption of KMS decrease administrative cost, but it also pays off in a combination of increased profitability and efficiency.
This study further examines the longitudinal impact of KMS adoption on firm performance by matching 103 firms with peer firms that have not adopted KMS. Results indicate that administrative costs, operating expense, return on assets, and return on sales (ROS) are significantly better over a 3-year period for KMS adopters, as compared to non-adopters. Furthermore, pertaining to cost and profit ratios, significant differences arise because the financial performance of non-adopters decreases over time while it holds steady for KMS adopters. The findings verify some of our hypotheses, provide new insights into the productivity paradox associated with KMS adopters, and confirm that KMS adopters indeed gain a competitive advantage over non-adopters. By examining the industry effect between manufacturing firms and service firms, this dissertation empirically confirms that manufacturing firms obtain a more viable performance than service firms.
1 INTRODUCTION
1.1 Research Motivation……………………………………………………………...1
1.2 Research Objectives……………………………………………………………...2
1.3 Research Scope……………………………………………………………............2
1.4 Dissertation Organization…………………………………………………............3
2 LITERATURE REVIEW
2.1 Knowledge Management………………………………………………………… 5
2.2 Knowledge Management Systems……………………………………………... 7
2.3 Knowledge-Based Theory and KM Capability…………………………………..15
2.4 Transaction Cost Theory and KM Capability……………………………………19
3 MEASURING PERFORMANCE
3.1 Identify the Measures Associated with Knowledge Management Systems
Values …………………………………………………………………………...24
3.2 Financial Ratios………………………………………………………………….30
4 THE RESEARCH METHOD AND DATA COLLECTION
4.1 Research Framework…………………………………………………………….33
4.2 Research Hypotheses…………………………………………………………….35
4.3 Data Collection…………………………………………………………………..43
4.4 Model Specification……………………………………………………………...47
5 RESULTS
5.1 Descriptive Statistics………………………………………………………….....50
5.2 Hypotheses 1 and 2………………………………………………………………53
5.3 Hypotheses 3 and 4………………………………………………………………56
5.4 Hypotheses 5……………………………………………………………………..59
5.5 Hypotheses 6 and 7………………………………………………………………60
6 CONCLUSIONS
6.1 Research Findings and Implications…………………………………………… 67
6.2 Research Limitation……………………………………………………………...72
6.3 Future Research………………………………………………………………...72
REFERENCE………………………………………………………...…………….74
Appendix A: List of KMS Adopters and Non-adopters………………………….81
Appendix B: KMS Vendors and the One-digit SIC Codes Associated with Each
Vendor………………………………………………………………...84

LIST OF TABLES
Table 1: The Implications of KM and KMS…………………………………………8
Table 2: The Definitions of Knowledge Management Systems……………………13
Table 3: The Theory of Transaction Cost Theory….………………………………..20
Table 4: The Differences between the Knowledge-Based Theory and Transaction
Cost Theory……………………………………………………………….. 21
Table 5: KMS Effects on Firm Performance……..…………………………….......23
Table 6: Summary Research on the Performance Measurement in IT……………..29
Table 7: Financial Performance Variables……………..…………………………..32
Table 8: Summary of the All Hypotheses…………………………………………..38
Table 9: Sample Selection Procedure and Results………...…………………………45
Table 10: Descriptive Statistics and Mean Tests Results for KMS Adopters
and Non-adopter……………………………………………………...51
Table 11: Mean Test Results of Firm Performance before KMS Adoption…..……..52
Table 12: Pairwise Sample t-test Results for of Firm Performance for Three
Consecutive years after KMS Adoption...….…………………………..55
Table 13: The Annual Indexes of Dow Jones, NASDAQ and S&P500……………..56
Table 14: Regression Results for All Ratios, Controlling for Pre-adopting Results…58
Table 15: The Results of Dupont Analysis………………………………………….60
Table 16: Results from Regression Analysis of KMS Adoption in Manufacturing Industry for All Ratios…………………………………………………62
Table 17: Results from Regression Analysis of KMS Adoption in Service Industry
for All Ratios………………………………………………………………64
Table 18: Results from Regression Analysis on Industry Effect for All Ratios……...66

LIST OF FIGURES
Figure 1: Dissertation Research Organization………………………………………4
Figure 2: The Framework of Knowledge Management Services…………...……….9
Figure 3: Core knowledge Management Services…………………………………10
Figure 4: The Relationship of Natural KMS and Artificial KMS…………………...12
Figure 5: The Infrastructure of Knowledge Management Systems………………...15
Figure 6: Research Framework on the Implementation of KMS and Firm
Performance……………………………………………………………….37
Figure 7: The Procedure of Data Collection…………………………………………47
Figure 8: The Trend of Macroeconomic Environment…………………..………...56
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