臺灣博碩士論文加值系統

本研究旨在以網路拍賣競標者與賣方的觀點發展數理分析模型，並且結合實證研究以確認數理分析模型的貢獻。首先，本研究運用展望理論的概念，以探究拍賣品質策略與競標屬性透過拍賣價格在網路拍賣所造成的衝擊。拍賣品質策略由資訊品質、系統品質與服務品質三者所構成。競標屬性則為競標者所面臨的競標條件，例如起標價格、拍賣期間、競標成本或交易成本等。其次，本研究逐步分析拍賣品質策略與競標屬性在競標者滿意度、競標強度與賣方滿意度產生的影響效果。再者，本論文運用動態賽局理論的概念，以研究競標者參與網路拍賣的競標策略與行為並發展動態賽局模型。根據動態賽局模型，以確認在網路拍賣的競爭環境下具有優勢的凌越競標策略。
實證研究的結果顯示拍賣品質策略與競標屬性兩者皆可提昇賣方成本、網路拍賣價格、競標者滿意度與競爭強度；較高的網路拍賣價格會降低競標者滿意度並提昇賣方成本；較高的賣方成本會降低賣方滿意度。另外，在網路拍賣競標者觀點之下，競標者滿意度可提昇競爭強度。以網路拍賣的賣方觀點，網路拍賣價格與競爭強度可以提昇賣方的滿意度。

This study attempts to develop mathematical models for online auctions based on the perspectives of both online bidders and sellers and then adopts an empirical analysis to il-lustrate the viability of the mathemati¬cal models. First of all, the study applies prospect theory to investigate the impacts of auction quality strategy and bidding characteristics on bidder satisfaction and competitive intensity through auction prices in online auctions. The auction quality strategy consists of information quality, system quality, and service quality. Bidding characteristics are the conditions faced by bidders, such as starting price, auction length, bidding cost, and transaction cost. Second, this study investigates the effects of the above auction quality strategy and bidding characteristics strategy on bidder satisfaction, competitive intensity, and seller satisfaction, respectitively. Third, the study employs dy-namic game theory to integrate the online auction strategy from the bidders’ perspectives. This approach provides a dynamic game model to identify the dominant strategy in com-petitive online auction environments.
The results of path analysis show that both auction quality strategy and bidding char-acteristics can enhance seller costs, online auction prices, bidder satisfaction, and competi-tive intensity. Higher online auction prices decrease online bidder satisfaction and in-creases seller costs. Higher seller costs decrease online seller satisfaction. In addition, bid-der satisfaction enhances competitive intensity from the bidders’ perspective in the online environment. From the sellers’ perspective, auction price and competitive intensity en-hances seller satisfaction in the online environment.

摘要....................................................I
ABSTRACT...............................................II
TABLE OF CONTENTS.......................................I
LIST OF TABLES..........................................V
LIST OF FIGURES.......................................VII
CHAPTER ONE INTRODUCTION...............................1
1.1 Research Background and Motivations.................1
1.2 The Purpose of the Study............................5
1.3 Structure of the Research...........................6
CHAPTER TWO LITERATURE REVIEW AND HYPOTHESES..........7
2.1 The Theoretical Based in This Study.................7
2.1.1 The law of diminishing marginal utility...........7
2.1.2 Prospect theory...................................9
2.1.3 Dynamic Game theory..............................11
2.2 Definition of Research Constructs..................14
2.2.1 Auction Quality Strategy.........................14
2.2.2 Bidding Characteristics..........................15
2.2.3 Auction Price....................................15
2.2.4 Bidder Satisfaction..............................16
2.2.5 Competitive Intensity............................16
2.2.6 Seller Costs.....................................17
2.2.7 Seller Satisfaction..............................18
2.3 Interrelationships among Research Constructs and Hypotheses.............................................18
2.3.1 The Impact of Auction Quality Strategy...........18
2.3.2 The Impact of Bidding Characteristics............21
2.3.3 The Impact of Auction Price......................22
2.3.4 Interrelationships among Bidder Satisfaction, Competitive Intensity, and Seller Satisfaction.........24
2.3.5 Interrelationship between Seller Costs and Seller Satisfaction...........................................24
2.4 Mathematical Models Adopting the Concepts of Diminishing Marginal Utility and Prospect theory.......25
2.4.1 Focus on Maximum Bidder Satisfaction under Given Resources..............................................34
2.4.2 Focus on Maximum Seller Satisfaction under Given Resources..............................................35
CHAPTER THREE DEVELOPMENT OF THE MATHEMATICAL MODELS.................................................37
3.1 Mathematical Models from Bidder’s Perspective.....37
3.1.1 Applying Natural Logarithms and Trigonometric Functions Based on Bidder’s Perspective...............38
3.1.2 Applying Negative Exponential and Trigonometric Functions Based on Bidder’s Perspective...............41
3.2 Mathematical Models from Seller’s Perspective.....44
3.2.1 Applying Natural Logarithmic Functions Based on Seller’s Perspective..................................44
3.2.2 Applying Negative Exponential Functions Based on Seller’s Perspective..................................47
3.2.3 The Optimal Values for Auction Quality Strategy and Bidding Characteristics................................48
3.3 Competition among Online Bidders...................55
3.3.1. Bidder Makes the First Move with an Infinite Price. ..............................................55
3.3.2. Bidder Makes a Later Move with an Infinite Price. ..............................................57
3.3.3. Bidder Makes the First Move and a Later Move with a Finite Price...........................................59
CHAPTER FOUR RESEARCH DESIGN AND METHODOLOGY..........63
4.1 The Research Model.................................63
4.2 Construct Measurement..............................64
4.2.1 Auction Quality Strategy.........................65
4.2.2 Bidding Characteristics..........................66
4.2.3 Seller Costs.....................................67
4.2.4 Auction Price....................................68
4.2.5 Bidder Satisfaction..............................68
4.2.6 Competitive Intensity............................69
4.2.7 Seller Satisfaction..............................69
4.3 Hypotheses to be Tested............................70
4.4 Questionnaire Design...............................71
4.5 Sampling Plan......................................71
4.6 Data Analysis Procedures...........................71
4.6.1 Descriptive Statistics...........................71
4.6.2 Purification and Reliability of the Measurement Variables..............................................72
4.6.3 Interrelationships among Research Variables......73
CHAPTER FIVE DESCRIPTIVE ANALYSIS AND RELIABILITY TESTS ..............................................74
5.1 Descriptive Analysis...............................74
5.1.1 Data Collection..................................74
5.1.2 Characteristics of Respondents...................75
5.2 Measurement Results for Relevant Research Variables ..............................................76
5.5 Factor Analysis and Reliability Tests of Online Bidders’ Perspective..................................83
5.6 Factor Analysis and Reliability Tests of Online Sellers’ Perspective..................................90
CHAPTER SIX RESEARCH ANALYSIS AND RESULTS 100
6.1 Structural Equation Model of Online Bidders’ Perspective...........................................100
6.2 Structural Equation Model of Online Sellers’ Perspective...........................................115
6.3 The Optimization of Online Auction Strategy.......129
6.4 The Optimal Bidding Strategy for Online Bidders...135
CHAPTER SEVEN RESEARCH CONCLUSIONS AND CONTRIBUTIONS .............................................146
7.1 Research Conclusions..............................146
7.2 Managerial Implications and Contributions.........151
7.3 Limitation and Future Research....................154
REFERENCES............................................156
APPENDIX .............................................162
Appendix A: Optimal Online Auction Strategy based on Bidders’ Perspective.................................162
Appendix B: Optimal Online Auction Strategy based on Sellers’ Perspective.................................174
Appendix C: Questionnaire for Online Bidders..........181
Appendix D: Questionnaire for Online Sellers..........185

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