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

von: Matthew L. Nelson, Michael J. Shaw

Springer-Verlag, 2009

ISBN: 9783642031328 , 330 Seiten

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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