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Value Creation in E-Business Management - 15th Americas Conference on Information Systems, AMCIS 2009, SIGeBIZ track, San Francisco, CA, USA, August 6-9, 2009, Selected Papers
Title Page
2
Preface
5
Table of Contents
7
Generic Business Model Types for Enterprise Mashup Intermediaries
10
Introduction
10
Motivation and Problem Scope
10
Research Design: Design Science Applied
12
Objectives of the Solution: Background and Related Work
13
Enterprise Mashups – Definition of Terms and Characteristics
13
Interaction Agent Model
14
Business Models
15
Design: Interaction Phase Model for Mashup Intermediaries
17
Demonstration: Case Studies
19
Instances of Mashup Intermediaries
20
Generic Business Model Types: Directory, Broker and Marketplaces
23
Conclusion and Future Work
23
References
24
The Commercial Open Source Business Model
27
Introduction
27
Prior and Related Work
28
Commercial vs. Community Open Source
29
Community Open Source
30
Commercial Open Source
30
The Commercial Open Source Business Model
31
Revenue Sources
31
Business Functions
32
Community Management
33
Sales
33
Marketing
35
Product Management
35
Engineering
36
Support
36
Conclusion
37
References
37
IPhone or Kindle: Competition of Electronic Books Sales
40
Introduction
40
Literature Review
42
Model
43
Competition under the Scenario of Complete Information
46
Competition under the Scenario of Incomplete Information
48
Conclusion
49
References
50
Appendix
51
Business Models in Emerging Online Services
53
Introduction
53
Software-as-a-Service
54
Suggested Pricing/Delivery Structures
55
Target Market Segments
55
Procedures for Assessing Business Model Effectiveness
55
Vulnerability to or Threat to Other Business Models
56
User Concerns
56
Social Computing Tools and Services
56
Suggested Pricing/Delivery Structures
56
Target Market Segments
57
Procedures for Assessing Business Model Effectiveness
58
Vulnerability to or Threat to Other Business Models
58
User Concerns
58
Virtual Worlds
58
Suggested Pricing/Delivery Structures
59
Target Market Segments
59
Procedures for Assessing Business Model Effectiveness
59
Vulnerability to or Threat to Other Business Models
60
User Concerns
60
Implications of Emerging Business Models
60
Conclusions and Future Work
62
References
63
Business Model Design from an ANT Perspective: Contributions and Insights of an Open and Living Theory
65
Introduction
65
From Value Chains to Value Networks
66
A Brief Overview of Actor-Network Theory
68
Why Seeking Inspiration in Actor-Network Theory
69
A Business Model Design and Analysis Approach Based on Actor-Network Theory
70
FoodAtYourDisposal Business Idea
71
Assessing the Business Model
71
Conclusions
75
References
75
Customer-Specific Transaction Risk Management in E-Commerce
77
Increasing Turnover Potentials and Risks in E-Commerce
77
Business Scenario: An E-Tailer with Risk Management
78
Customer Valuation and Risk Aspects
79
Module 1: Evaluating Customer Potentials
79
Measuring Customer Values
80
Measuring Customer Risks
81
Module 2: Evaluating Risks of Payment Methods
82
Model for a Risk-Adjusted Customer Valuation
84
Conclusion and Outlook
86
References
87
An Evaluation of Multiple Perceptions of Digital Rights Management
89
Introduction
89
Digital Rights Management: An Overview
90
The Stakeholders
90
The Creators’ Viewpoint
91
The Copyright Owners’ Viewpoint
91
The Distributors’ Viewpoint
92
The End Users’ Viewpoint
93
The Lawmakers’ Viewpoint
94
Conclusion
95
Contribution and Future Research
96
References
96
Consumer’s Online Shopping Influence Factors and Decision-Making Model
98
Introduction
98
Literature and Hypothesis
99
Perceived Benefit
100
Perceived Risk
100
Online Shopping Relevant Elements
102
Online Shopping Conceptual Model
103
Research Design and Methodology
104
Data Employed
104
Structural Equation Modeling
104
Model 1 and Data Analysis
104
Model 2 and Data Analysis
106
Model 3 and Data Analysis
107
Conclusion and Implication
109
References
110
Generation Gap and the Impact of the Web on Goods Quality Perceptions
112
Introduction
112
Previous Studies and Hypothesis
113
Search, Experience, and Credence Goods Perception
113
Contributing Factors and Hypothesis
114
Research Design
116
Data Analysis and Findings
117
The Concave Relationship between Age and Web Shopping Experience
117
The SEC Ratings of the 6 Products by Age Groups
117
Web Shopping Experience
118
The Interaction Effect of Age and Web Shopping Experience
119
Implications
119
Conclusion
120
References
120
How the Website Usability Elements Impact Performance
122
Introduction
122
Literature and Hypotheses
123
Method
128
Data Collection, Tasks, and Measure
128
Model Validation
130
Moderating Variables
131
Discussion and Implications
132
Limitations and Future Research
134
References
135
Appendix
138
Effects of Website Interactivity on Online Retail Shopping Behavior
140
Introduction
140
Online Consumer Behavior and Website Interactivity
141
The Tam Framework for Internet Usage
142
Research Framework Discussion
143
Perceived Usefulness (PU)
143
Perceived Enjoyment (PE)
144
Perceived Ease of Use (PEOU)
144
Attitude and Intention
145
Trust as a Moderator
145
Proposed Research Framework
146
Hypothesis Propositions
146
Research Methodology
148
Implications for Researchers and Practitioners
148
Conclusion
148
References
149
Trust-Building in Electronic Markets: Relative Importance and Interaction Effects of Trust-Building Mechanisms
152
Introduction
152
Literature Review
153
Theory Development
155
Overview of Tasks, Design, and Methods
156
Hypotheses
157
Methodology
158
Participants
158
Design and Tasks
158
Procedure
160
Expected Results
160
Conclusion
162
References
162
Pricing Strategy in Online Retailing Marketplaces of Homogeneous Goods: Should High Reputation Seller Charge More?
164
Introduction
164
Theoretical Background
165
Online Retailing Marketplace
165
Search Costs in Online Retailing Marketplace
166
IT Facilities in Online Retailing Marketplace
167
Experienced and Inexperienced Consumers
168
Price Sensitivity and Seller Reputation
169
Data
170
Data Collection and Variables
170
Analysis Method
172
Results
172
Discussions
174
References
175
Secure Mobile Support of Independent Sales Agencies
178
Introduction
178
Methodological Approach
179
System Overview
180
Collaborative Multi-vendor Sales Processes
181
Security Requirements
182
5.1 Management of Customer Data
182
Visit Reports
183
Recall of the Customer’s History
184
Access to Catalog Data
184
Unstructured Requests for Quotation:
184
Creation of Quotes
185
Security Extension of the IT-Artifact
185
Evaluation
187
Limitations
188
Conclusion
188
References
188
People-to-People Lending: The Emerging E-Commerce Transformation of a Financial Market
191
Introduction
191
People-to-People Lending
192
The People-to-People Lending Model and Marketplaces
192
Types of People-to-People Lending Marketplaces
193
The Profit-Seeking Model
195
The Philanthropic Model
197
The Family and Friend Model
197
The Tupperware Party Model
197
Supporting Roles of IT and Resulted Characteristics of P2P Lending
198
Market Maker
198
Investment Strategy Enabler
199
Community Builder
200
Research Agenda
200
Conclusion
203
References
203
Forecasting U.S. Home Foreclosures with an Index of Internet Keyword Searches
205
Introduction
205
Risk Management Models
206
Research Objective
206
Sources of Data
207
Results
208
Limitations of the Approach
210
Conclusion
210
References
211
Organizing Equity Exchanges
213
Introduction
213
Economies of Trading and Post-Trading
214
Trade Execution, Clearing, and Settlement
214
Network Effects
215
Economies of Scale and Scope
215
Diversification
216
Literature Review and Hypothesis
216
Literature Review
216
Hypotheses
217
Current Status of the Trading and Post-Trading Industry
217
Empirical Evidence of Economies of Scale
219
The Model and Data Sample
219
Empirical Results
222
Organization of Exchanges
222
The Model and Data Sample
222
Empirical Result
224
Conclusion and Outlook
224
References
225
The Impact of New Execution Venues on European Equity Markets’ Liquidity – The Case of Chi-X
227
Introduction
227
Related Literature
229
Empirical Analysis
230
Euronext Paris and Chi-X Market Structures
231
Dataset
231
Methodology
232
Results
233
Conclusions
237
References
237
Appendix
239
System Latency in Linked Spot and Futures Markets
240
Introduction
240
The Theoretical Background
242
Lead-Lag Effect
242
Latency
243
The Market Mircostructure
244
Xetra and DAX Index
244
Eurex and DAX Index Futures
245
Institutional Differences in Latency
245
The Data
246
The Lead-Lag Effect under Asymmetric Latency
248
Lead-Lag Regressions
248
Dummy Regressions
250
Conclusion
252
References
253
Quantifying Users’ Interconnectedness in Online Social Networks – An Indispensible Step for Economic Valuation
255
Introduction
255
Background
256
Definition of Online Social Networks
256
Economic Valuation of Online Social Networks
257
Method
260
Discussion of Common Centrality Measures
260
A New, PageRank Based Centrality Measure for Online Social Networks
262
Illustration of the New Centrality Measure and Discussion of the Results
263
Summary
265
References
265
Enhancing the Quality of Financial Advice with Web 2.0 – An Approach Considering Social Capital in the Private Asset Allocation
268
Introduction
268
Social Capital within the Asset Allocation
269
Definition of Social Capital
269
Considering Social Capital in the Asset Allocation
271
Challenges and Implications to the Consultancy
272
Social Network Analysis
273
Integration of Social Capital within a Consultancy Process
274
Conclusion
277
References
278
Web 2.0 in SME Networks - A Design Science Approach Considering Multi-perspective Requirements
280
Introduction
280
Methodological Approach and Research Design
281
Related Work
282
Web 2.0 and Enterprise 2.0 in the Context of SMEs
283
Web 2.0 and Social Software - State-of-the-Art
283
Enterprise 2.0 - State-of-the-Art
283
The Challenge of Applying Web 2.0 in SMEs
284
Towards a Concept to Support SME Networks in Cooperation – A Use Case
285
Use Case Background
285
Requirements of a Regional SME Network Towards Web 2.0 Artifacts
286
Recommendations
289
Summary and Outlook
290
References
291
Mashups: An Approach to Overcoming the Business/IT Gap in Service-Oriented Architectures
293
Introduction
293
Mashups and Service-Oriented Architectures
294
Mashups
294
Mashup Categories
295
Service-Oriented Architectures
296
A Comparison of Mashups and Service-Oriented Architectures
297
Similarities between Mashups and Service-Oriented Architectures
297
Differences between Mashups and Service-Oriented Architectures
298
Summary
301
Conclusion and Outlook
302
References
302
Online Reputation Systems in Web 2.0 Era
305
Introduction
305
Reputation and Reputation Systems
306
Online Reputation Systems Overview
307
System Input
307
System Processing
307
System Output
309
Problems with Pre-Web2.0 Online Reputation Systems
309
Online Reputation Systems in Web 2.0 Era
310
Conclusion
314
References
314
Evolution of Decision Rules Used for IT Portfolio Management: An Inductive Approach
316
Introduction
316
Background
317
IT Portfolio Management and Rules
317
Logic of Appropriateness
318
Methodology
319
Data
319
Measure Development
320
Inductive Learning
322
Results
323
Key Findings (Year One)
323
Key Findings (Year Two)
325
Comparative Findings
326
Concluding Comments
327
References
327
Appendix 1: Selecting the Best Representative Decision Model
329
Author Index
330
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