dc.contributor.advisor | 苑守慈 | zh_TW |
dc.contributor.advisor | Yuan,Soe-Tsyr | en_US |
dc.contributor.author (Authors) | 張瑋倫 | zh_TW |
dc.contributor.author (Authors) | Chang,Wei-Lun | en_US |
dc.creator (作者) | 張瑋倫 | zh_TW |
dc.creator (作者) | Chang,Wei-Lun | en_US |
dc.date (日期) | 2006 | en_US |
dc.date.accessioned | 18-Sep-2009 20:15:41 (UTC+8) | - |
dc.date.available | 18-Sep-2009 20:15:41 (UTC+8) | - |
dc.date.issued (上傳時間) | 18-Sep-2009 20:15:41 (UTC+8) | - |
dc.identifier (Other Identifiers) | G0913565071 | en_US |
dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/36953 | - |
dc.description (描述) | 博士 | 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) | 91356507 | zh_TW |
dc.description (描述) | 95 | zh_TW |
dc.description.abstract (摘要) | Information goods pricing is an essential and emerging topic in the era of information economy. Myriad researchers have devoted considerable attention to developing and testing methods of information goods pricing. Nevertheless, in addition; there are still certain shortcomings as the challenges to be overcome. This study encompasses several unexplored concepts that have attracted research attention in other disciplines lately, such as collaborative prototyping, prospect theory, ERG theory, and maintenance from design, economic, psychological, and software engineering respectively. This study proposes a novel conceptual framework for information goods pricing and investigates the impact of three advantages: (1) provides collaborative process that could generate several prototypes via trial and error in pricing process, (2) deliberates the belief of consumer and producer by maximizing utility and profit, and (3) offers an appropriate service bundle by interacting with consumer and discovering the actual needs. Due to the unique cost structure and product characteristics of information goods, conventional pricing strategies are unfeasible, and a differential pricing strategy is crucial. Nevertheless, few models exist for pricing information goods in the e-service industry. This study proposes a novel collaborative pricing model in which customers are active participants in determining product prices and adopt prices and services that meet their changing needs. This study also shows that the collaborative pricing model generates an optimal bundle price at equilibrium with optimal profit and utility. Theoretical proofs and practical implications justify this pricing model, which is essential for future information goods pricing in information economy.Moreover, we apply iCare e-service delivery as an exemplar and scenario for our system. The objective of iCare is to provide quality e-services to the elderly people anywhere and anytime. The new pricing method will go beyond the current iCare e-service delivery process which furnishes personalized and collaborative bundles. iPrice system for pricing information goods fills the gap among previous literatures which only considers consumers or providers. Different from existing works, iPrice system is novel in integrating distinctively important concepts yielding more benefits to consumers and profits to more providers. Thus, iPrice also guides and provides a roadmap for information goods pricing for future research. | zh_TW |
dc.description.abstract (摘要) | Information goods pricing is an essential and emerging topic in the era of information economy. Myriad researchers have devoted considerable attention to developing and testing methods of information goods pricing. Nevertheless, in addition; there are still certain shortcomings as the challenges to be overcome. This study encompasses several unexplored concepts that have attracted research attention in other disciplines lately, such as collaborative prototyping, prospect theory, ERG theory, and maintenance from design, economic, psychological, and software engineering respectively. This study proposes a novel conceptual framework for information goods pricing and investigates the impact of three advantages: (1) provides collaborative process that could generate several prototypes via trial and error in pricing process, (2) deliberates the belief of consumer and producer by maximizing utility and profit, and (3) offers an appropriate service bundle by interacting with consumer and discovering the actual needs. Due to the unique cost structure and product characteristics of information goods, conventional pricing strategies are unfeasible, and a differential pricing strategy is crucial. Nevertheless, few models exist for pricing information goods in the e-service industry. This study proposes a novel collaborative pricing model in which customers are active participants in determining product prices and adopt prices and services that meet their changing needs. This study also shows that the collaborative pricing model generates an optimal bundle price at equilibrium with optimal profit and utility. Theoretical proofs and practical implications justify this pricing model, which is essential for future information goods pricing in information economy.Moreover, we apply iCare e-service delivery as an exemplar and scenario for our system. The objective of iCare is to provide quality e-services to the elderly people anywhere and anytime. The new pricing method will go beyond the current iCare e-service delivery process which furnishes personalized and collaborative bundles. iPrice system for pricing information goods fills the gap among previous literatures which only considers consumers or providers. Different from existing works, iPrice system is novel in integrating distinctively important concepts yielding more benefits to consumers and profits to more providers. Thus, iPrice also guides and provides a roadmap for information goods pricing for future research. | en_US |
dc.description.tableofcontents | CHAPTER 1. INTRODUCTION 11.1. Background 11.1.1. Experience Economy 11.1.2. Service Science in Experience Economy 41.2. Research Questions and Objectives 51.3. Contributions 61.4. Content Organization 7CHAPTER 2. STATE-OF-THE-ART FOR PRICING METHODS 102.1. Introduction 102.1.1. Information Goods Offering e-Service 112.1.2. The Market of Information Goods 122.1.3. Pricing Issues 122.2. A Unifying Framework of Pricing Methods 132.2.1. Tactic 152.2.2. Versioning 172.2.3. Bundling 192.2.4. Society 222.2.5. Individual 232.2.6. Perception 242.2.7. Decision 262.3. Discussion 272.4. Summary 28CHAPTER 3. METHODOLOGY 323.1. Research Framework 323.2. Research Process 333.3. System Framework 333.3.1. Pricing Process 333.3.2. System Modules 353.4. Platform and Architecture 36CHAPTER 4. GRAPHIC USER INTERFACE DESIGN 394.1. Introduction 394.2. Versioning Ontology 394.3. Consumer Involvement 414.4. Service Quality 424.5. Service Coordination 434.6. Service Attribute 44CHAPTER 5. COLLABORATIVE PROTOTYPING DESIGN 465.1. Introduction 465.2. Theoretical Foundation 475.2.1. Prototyping 475.2.2. ERG Theory 515.3. Model 565.4. Method 605.5. Evaluation 665.5.1. Assumptions 665.5.2. Simulation 675.5.3. Performance Measurement 695.6. Summary 76CHAPTER 6. OPTIMAL-PRICE ESTIMATION DESIGN 866.1. Introduction 866.2. Theoretical Foundation 866.2.1. Prospect Theory 866.2.2. Mental Account 916.3. Model 936.4. Method 966.5. Evaluation 1036.5.1. Assumptions 1036.5.2. Simulation 1046.5.3. Performance Measurement: Utility 1046.5.4. Performance Measurement: Profit 1106.5.5. Performance Measurement: Social Welfare 1116.6. Summary 117CHAPTER 7. VERSION REVISIONARY DESIGN 1207.1. Introduction 1207.2. Theoretical Foundation 1207.2.1. Software Maintenance 1207.2.2. Mean Error Rate 1217.3. Model 1237.4. Method 1267.5. Evaluation 1277.5.1. Assumptions 1277.5.2. Simulation 1287.5.3. Performance Measurement: Linear Regression 1297.5.4. Performance Measurement: Recommendations 1317.6. Summary 132CHAPTER 8. iCare E-SERVICE DELIVERY 1348.1. Introduction 1348.1.1. Foundations of the iCare Framework 1368.2. Literature 1378.2.1. Home Technology 1388.2.2. Care Technology 1398.3. Framework of Ambient i-Care e-Services 1418.3.1. Taxonomy of iCare e-Services 1438.3.2. Ontology of iCare e-Services 1448.3.3. iCare e-Sevice Provision Quality Model 1468.3.4. Collective Decision for Service Recommendation 1478.4. A Prototype Implementation of iCare Home Portal 1488.4.1. Case-Based Reasoning Model 1508.4.2. Brainstorming Model 1518.4.3. Garbage-Can Model 1528.5. A Case Scenario 1538.6. Summary 155CHAPTER 9. CONCLUDING REMARKS 1579.1. Contributions 1579.2. Comparison of Related Works 1589.3. Limitations and Future Research 1609.4. Managerial Implications 1619.5. Conclusions 164REFERENCES 166 | 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/#G0913565071 | en_US |
dc.subject (關鍵詞) | 資訊產品定價 | zh_TW |
dc.subject (關鍵詞) | 馬可夫鏈 | zh_TW |
dc.subject (關鍵詞) | ERG理論 | zh_TW |
dc.subject (關鍵詞) | 展望理論 | zh_TW |
dc.subject (關鍵詞) | Information Goods Pricing | en_US |
dc.subject (關鍵詞) | Markov Chain | en_US |
dc.subject (關鍵詞) | ERG Theory | en_US |
dc.subject (關鍵詞) | Prospect Theory | en_US |
dc.title (題名) | 電子化服務傳遞之協同式定價模式研究 | zh_TW |
dc.title (題名) | iPrice: A Collaborative Pricing Model for e-Service Bundle Delivery | en_US |
dc.type (資料類型) | thesis | en |
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