| Preface | 5 |
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| Table of Contents | 7 |
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| e-Business Models and IS in Financial Markets | 9 |
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| Dynamic Revenue Model Design in the Online Services Business: Two Cases in Japan | 9 |
| Introduction | 9 |
| A Call for a Simple and Dynamic Perspective for Business Models | 10 |
| Dynamic Revenue Model Design for Online Service Business | 13 |
| Main Revenue Models for Online Service Business | 14 |
| Two Cases in the Japanese Online Services Business | 15 |
| Yahoo! Japan: Diversifying Revenue Models | 16 |
| Gree: Switching Revenue Models | 17 |
| Concluding Remarks | 18 |
| References | 18 |
| Pricing of Content Services – An Empirical Investigation of Music as a Service | 21 |
| Introduction | 21 |
| Literature Review | 22 |
| Business Model and Characteristics of Music as a Service | 23 |
| Research Framework: Determinants of Customer Value | 25 |
| Research Methodology and Analysis | 26 |
| Adaptive Conjoint Analysis | 26 |
| Deriving Willingness to Pay from Conjoint Data | 27 |
| Data Collection and Analysis | 27 |
| Results | 28 |
| Sample Description | 28 |
| Part Worth Utilities of the Attribute Levels and Importance of the Attributes | 28 |
| Willingness to Pay for Changing Attributes Levels | 29 |
| Discussion and Implications | 30 |
| Limitations and Future Research | 30 |
| References | 31 |
| Informational Determinants of Customer Acquisition and eTailer Revenue | 33 |
| Introduction | 33 |
| Model | 35 |
| Data | 37 |
| Results | 38 |
| Discussion | 40 |
| Limitations and Conclusions | 42 |
| References | 42 |
| Adoption of a Centralised Post-Trade Processing Market Infrastructure after the Credit Crisis | 44 |
| Introduction | 44 |
| Theory and Model Development | 45 |
| Conceptualization of the Innovation Attributes | 46 |
| Conceptualization of Context Variables | 46 |
| Adoption Construct | 48 |
| Research Method | 48 |
| Data Collection and Analysis | 48 |
| Measurement Model Evaluation | 50 |
| Structural Model Evaluation | 52 |
| Discussion of Research Findings and Implications | 53 |
| References | 54 |
| The Impact of Information Technology on European Post-Trading | 56 |
| Introduction and Objective of the Study | 56 |
| Previous Research | 57 |
| The European Post-Trading Industry | 58 |
| Network and Scale Effects in Clearing and Settlement | 58 |
| Regulation and Market Initiatives in European Post-Trading | 59 |
| Impact of the Financial Crisis on European Post-Trading | 61 |
| Study Setup | 61 |
| The Delphi Methodology | 61 |
| Setup of the Delphi Study on European Post-Trading | 62 |
| Results: Most Important IT/IS Issues the Post-Trading System Needs to Cope with | 64 |
| Conclusion and Outlook | 67 |
| References | 68 |
| e-Commerce Use and Design | 71 |
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| Privately Waiting – A Usability Analysis of the Tor Anonymity Network | 71 |
| Introduction | 71 |
| Usability of Security | 72 |
| Latency as Usability Factor | 73 |
| Experiment | 74 |
| Core Latency | 75 |
| DNS Request as a Part of the HTTP Request | 77 |
| Average Latency | 78 |
| Cancelation Rate for Average and Core Latency | 79 |
| Related Work | 80 |
| Discussion and Future Work | 81 |
| Conclusion | 81 |
| References | 82 |
| E-Commerce Readiness in Ethiopia: A Macro-Level Assessment | 84 |
| Introduction | 84 |
| Rationale of the Study | 85 |
| Objective of the Study | 85 |
| General Objective | 85 |
| Specific Objectives | 86 |
| Literature Review | 86 |
| E-Commerce, E-Readiness, and E-Commerce Readiness | 86 |
| Models to Measure E-Commerce Readiness | 89 |
| Scope of the Study | 91 |
| Methodology | 91 |
| Variables/Indicators | 92 |
| Target Data Sources | 92 |
| Instrument | 92 |
| Data Collection Procedures | 92 |
| Data Entry and Analysis | 92 |
| Expected Benefits of the Study | 93 |
| References | 93 |
| Corporate Blogging Today – Usage and Characteristics | 95 |
| Introduction | 95 |
| Related Work | 96 |
| Classification of Corporate Blogs | 96 |
| Advantages | 97 |
| Disadvantages | 97 |
| Delineation | 98 |
| Research Method | 98 |
| Selection and Definition of Variables | 98 |
| Empirical Findings | 101 |
| Analysis of Variables | 101 |
| Correlation Analysis | 102 |
| Conclusion | 105 |
| Limitations and Future Research | 106 |
| References | 107 |
| Agent-Based Simulation for Evaluation of a Mobile Emergency Management System | 108 |
| Introduction | 108 |
| Methodology | 109 |
| Related Work | 110 |
| A Mobile Emergency Management System | 111 |
| Proposed System Design | 111 |
| Example Scenarios | 112 |
| Artifact Implementation | 113 |
| Evaluat
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