臺灣博碩士論文加值系統

This article proposes an improved method to estimate intangible assets. This approach is an improvement over Edvinsson and Malone (1997) because they do not revalue tangible assets. Empirically, we find that the estimates of intangible assets obtained by our approach are statistically lower than those of Edvinsson and Malone (1997). In addition, our estimates of inventory and property, plant, and equipment are statistically higher than those of Edvinsson and Malone (1997). Thus, our improvement is statistically significant. We also find that the impact of the revaluation of tangible assets varies with the industry.
In addition to improved estimate method, this study employs a resource-based view and an intellectual capital perspective to investigate the components of intangible assets and their inter-relationships within the health care industry. Using financial data, this study applies the Structure Equation Model to analyze the relationships among the four components of intellectual capital, as well as the relationship between intangible assets and firm performance. This study visualizes and mobilizes intangible assets to articulate six value creation paths. From the empirical findings, a positive relationship can be seen to exist between intellectual capital and firm performance. Our results also suggest that if firms want to use intangible assets to improve their performance, innovation input and process reformation must be considered first.
Finally, this study combines a management perspective and real financial quantitative data to present an accounting classification of intangible assets. Contract capital provides an adjusting and complementary effect to the other forms of capital within intangible assets. Moreover, we discovered that if contract capital is solely considered without interaction effects, it could hardly demonstrate any effects on intangible assets. Thus, in order to examine the SFAS No. 141 from the management perspective, we believe such classification calls for further adjustment. The current regulations that require separate listing of intangible assets should be altered with regards to contract capital, so as to maximize the effects of classification.

ABSTRACT I
CONTENTS III
LIST OF TABLES V
LIST OF FIGURES VI
CHAPTER 1 INTRODUCTION 1
1.1 RESEARCH BACKGROUND AND MOTIVATION 1
1.2 RESEARCH OBJECTIVES 3
1.3 RESEARCH SCOPE AND LIMITATIONS 6
CHAPTER 2 LITERATURE REVIEWS 7
2.1 DEFINITION 7
2.1.1 DEFINITION OF INTANGIBLE ASSETS 7
2.1.2 DEFINITION OF INTELLECTUAL CAPITAL 9
2.2 CLASSIFICATIONS IN OTHER FIELDS 12
2.2.1 ACCOUNTING 12
2.2.2 MANAGEMENT 14
2.2.3 SUMMARY 19
2.3 REVALUATION METHOD 20
2.3.1 THE COST APPROACH 21
2.3.2 THE INCOME APPROACH 21
2.3.3 THE MARKET APPROACH 21
2.3.4 THE MIX APPROACH 22
2.3.5 THE STRUCTURE METHOD 23
CHAPTER 3 RESEARCH METHDOLOGY 29
3.1 REVALUATION OF INTANGIBLE ASSETS 29
3.1.1 REVALUATION OF ASSETS 31
3.1.1.1 GUIDELINES FOR REVALUATION OF ASSETS FROM A COMPANY’S PERSPECTIVE 31
3.1.1.2 REVALUATION OF ASSETS FROM PUBLICLY AVAILABLE DATA 33
3.1.1.2.1 THE REVALUATION OF CURRENT ASSETS, EXCLUDING INVENTORY 34
3.1.1.2.2 THE REVALUATION OF INVENTORY 35
3.1.1.2.3 THE REVALUATION OF FIXED ASSET 35
3.1.1.3 REVALUED VALUE OF TOTAL ASSETS 36
3.2 COMPONENT FACTOR DESIGN 37
3.3 THE FACTOR ANALYSIS 38
3.4 CAUSAL RELATIONSHIP 40
3.4.1 THE REGRESSION MODEL 40
3.4.2 THE TOBIT MODEL 40
3.4.3 STRUCTURAL EQUATION MODEL 41
3.5 MODEL DEVELOPMENT: HYPOTHESES 47
3.5.1 THE HYPOTHESES FOR OLS/TOBIT MODEL 47
3.5.2 THE HYPOTHESES FOR STRUCTURAL EQUATION MODEL 52
3.6 MODEL DESIGN 56
3.6.1 DETERMINATION OF VALUE DRIVERS 56
3.6.2 TESTING THE GOODNESS OF FIT FOR THE CURRENT REGULATIONS 57
3.7 DATA 61
3.7.1 SAMPLE SELECTION AND DATA COLLECTION PROCEDURE 61
3.7.1.1 SUB-SAMPLE 1 61
3.7.1.2 SUB-SAMPLE 2 62
CHAPTER 4 DATA ANALYSIS AND RESEARCH RESULTS 64
4.1 DESCRIPTIVE INFORMATION 64
4.1.1 DESCRIPTIVE STATISTICS OF REEVALUATION MODEL 64
4.1.2 DESCRIPTIVE STATISTICS OF CAUSAL RELATIONSHIP 70
4.2 RESULTS 74
4.2.1 THE RESULTS OF REEVALUATION MODEL 74
4.2.2 THE RESULTS OF CAUSAL RELATIONSHIP 78
4.2.2.1 THE RESULTS OF OLS REGRESSION MODEL 78
4.2.2.2 THE RESULTS OF TOBIT MODEL 82
4.2.2.3 THE RESULTS OF TOBIT MODEL ACCORDING TO GAAP 85
4.2.2.4 THE RESULTS OF STRUCTURAL EQUATION MODEL 90
CHAPTER 5 CONCLUSION 93
5.1 FINDINGS AND INTERPRETATION 93
5.2 LIMITATIONS AND FURTHER DIRECTION 97
APPENDIX B 99
APPENDIX C 101
REFERENCE 105

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