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Value Creation from E-Business Models

Value Creation from E-Business Models

of: Wendy Currie (Ed.)

Elsevier Trade Monographs, 2004

ISBN: 9780080481562 , 416 Pages

Format: PDF, ePUB, Read online

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More of the content

Value Creation from E-Business Models


 

Cover

1

Contents

6

List of Figures

8

List of Tables

12

Preface

14

Part One: e-Business Model Ontologies and Taxonomies

20

1 Value-creation from e-Business models: issues and perspectives

22

1.1 Organization of the book

25

References and Further Reading

28

2 Business models and their relationship to strategy

30

Abstract

30

2.1 Introduction

30

2.2 Perspective 1: business models as abstractions of strategy

32

2.2.1 The Harvard school’s latest conceptualization of strategy

33

2.2.2 Business models as abstractions of Porter’s (1996, 2001) conceptualization of ‘strategy’

37

2.3 Perspective 2: competitive focus versus firm specificity matrix

46

2.3.1 Classifying ‘Harvard school’ conceptualizations of strategy

48

2.3.2 Classifying conceptualizations of business models

49

2.4 Conclusion

51

References and Further Reading

52

3 A framework for codifying business models and process models in e-Business design

54

Abstract

54

3.1 Introduction

54

3.2 Strategy perspective

57

3.2.1 Emergent strategy formulation

57

3.2.2 Environmental models of competitive advantage

59

3.2.3 Resource-based view

59

3.3 Organizational, economic and technical factors

61

3.3.1 Organizational arrangement and factors

61

3.3.2 Economic arrangement and factors

63

3.3.3 Technology arrangement and factors

65

3.4 Business models for e-Business

66

3.4.1 Components of the business model for e-Business

66

3.4.2 Description of the business models for e-Business

67

3.4.3 Business model strategic conceptual framework

68

3.5 A generic framework for e-Business fulfilment modelling

70

3.6 A triple pair interpretation of Weill and Vitale’s business models

74

3.6.1 A triple pair representation of the direct-to-customer model

75

3.6.2 A triple pair representation of the full-service-provider model

77

3.7 Conclusion

80

References and Further Reading

82

4 An ontology for e-Business models

84

4.1 Introduction

84

4.2 Definitions and taxonomies

85

4.3 e-Business model ontology

87

4.3.1 Product innovation and value proposition

89

Mini case: easyMoney.com

92

4.3.2 Customer relationship

92

Target customers

93

Distribution channels

94

Customer equity

97

Mini case: Customer relationships at Orange Switzerland

100

4.3.3 Infrastructure management

101

Capabilities and resources

101

Activities

103

Mini case: Value configuration at ColorPlaza

106

Partnerships

106

4.4 Conclusion

111

References and Further Reading

112

5 e-Business value modelling using the e[sup(3)]-value ontology

117

Abstract

117

5.1 Introduction

117

5.2 Why an e-Business model ontology?

118

5.2.1 Reaching a better understanding

119

5.2.2 Analysing an e-Business model

120

5.3 The e[sup(3)]-value ontology

120

5.3.1 The global actor viewpoint

122

Actor

122

Value object

124

Value port

125

Value offering

125

Value interface

126

Value exchange

127

Value transaction

127

Market segment

129

Summary

130

5.3.2 The detailed actor viewpoint

130

Composite actor and elementary actor

132

Value exchange revisited

133

Summary

134

5.3.3 The value activity viewpoint

134

Value activity

134

Value exchange revisited

136

Summary

136

5.4 The e[sup(3)]-value ontology and operational scenarios

136

5.4.1 UCMs

136

5.4.2 An ontology for UCMs

138

Dependency element

138

Connection element

139

Stimulus element

140

AND and OR continuation elements

140

Value interface

140

5.5 Profitability sheets

140

5.6 Related enterprise ontologies

142

5.6.1 AIAI enterprise ontology

142

5.6.2 TOVE

142

5.6.3 REA

143

5.6.4 Osterwalder and Pigneur ontology

143

5.7 Conclusion and further research

144

References and Further Reading

145

Part Two: e-Business Markets and Strategies

148

6 A causal network analysis of e-market business models

150

Abstract

150

6.1 Introduction

150

6.2 Research methodology

154

6.2.1 Data collection and analysis

154

6.3 Case studies

155

6.3.1 Process description of business models

156

6.3.2 Themes emerging from the interviews

156

6.3.3 Business model, market conditions and user acceptance

156

6.4. Causal network analysis

159

6.4.1 Limitations and further research

161

6.5 Discussion and conclusion

161

6.5.1 Q1: How is the business performance of an EM influenced by the nature of the EM business model?

163

6.5.2 Q2: Does acceptance of EM technology by potential customers of the EM moderate an EMs business performance?

164

Appendix 6A: Structured interview schedule

165

Appendix 6B

168

Appendix 6C: Causal network analysis

168

References and Further Reading

174

7 Knowledge management and e-Commerce: when self-service is not the sensible solution

177

7.1 Introduction

177

7.2 e-Commerce

178

7.3 Knowledge management

182

7.3.1 Different approaches to knowledge management

183

7.3.2 Contingency versus ‘best practice’

187

7.4 Linking e-Commerce and knowledge management

188

7.4.1 The knowledge demands of the task

189

7.4.2 The value proposition of the company

190

7.5 A contingency approach to e-Commerce

192

7.5.1 Low complexity of knowledge and value proposition based on low cost

192

7.5.2 High complexity of knowledge and value proposition based on low cost

193

7.5.3 Low complexity of knowledge and value proposition based on differentiation

193

7.5.4 High complexity of knowledge and value proposition based on differentiation

194

7.6 Conclusions

194

References and Further Reading

195

8 Perceptions of strategic value and adoption of e-Commerce: a theoretical framework and empirical test

197

8.1 Introduction

197

8.1.1 e-Commerce: an overview

198

8.2 Theoretical framework

199

8.2.1 Perceived strategic value of IT

199

Value of IT: investment and firm performance assessment

200

Value of IT: perceptual assessment

201

8.2.2 IT adoption

202

Application programs

202

CASE

203

GSS

203

EDI

203

The Internet/WWW and corporate Web sites

204

e-Commerce

205

8.2.3 Proposed framework

205

8.3 Empirical evidence from the field

208

8.3.1 Subjects

211

8.3.2 Data collection

211

8.3.3 Instrument development

212

8.3.4 General statistical procedure

213

8.4 US and Chile studies

214

8.4.1 The case of US

214

Demographics: Study 1

214

Confirmatory factor analysis: Study 1

214

Canonical analysis: Study 1

216

8.4.2 The case of Chile

217

Demographics: Study 2

217

Confirmatory factor analysis: Study 2

217

Canonical analysis: Study 2

218

8.5 Implications of the two studies

220

8.6 Conclusions and future research

221

8.6.1 Future research

223

References and Further Reading

224

Part Three: e-Business Performance Measurement and Value Creation

230

9 Value creation from corporate Web sites: how different features contribute to success in e-Business

232

9.1 Introduction

232

9.2 Understanding the media characteristics of the Worldwide Web

233

9.2.1 Web features: definitions and practical implementations

233

9.2.2 Literature review

237

IS/IT adoption and the role of ease of use

237

The link between adoption of IS/IT and corporate success

238

The business value of IT

238

The Web features and the quality of Web sites

239

9.3 Research model

239

9.3.1 Research aim and model perspective

239

9.3.2 Conceptualizing corporate success in e-Business

240

9.3.3 Derivation of hypotheses

240

9.4 Method

241

9.4.1 The survey

241

Aggregation of survey data

241

Descriptive analysis

242

Statistical analysis and hypothesis testing

242

9.4.2 Summary of the results

243

9.5 Discussion

243

9.5.1 Explanation of the findings

243

9.5.2 Interpretation of selected results

244

9.6 Future trends and conclusion

245

9.6.1 Research opportunities

245

9.6.2 Implications for managerial practice

245

References and Further Reading

246

10 Evaluating the quality of e-Business implementation with E-Qual

248

10.1 Introduction

248

10.2 The provenance of E-Qual

248

10.2.1 E-Qual 1.0

248

10.2.2 E-Qual 2.0

249

10.2.3 E-Qual 3.0

250

10.2.4 E-Qual 4.0

251

10.2.5 Internet bookstores – it’s not just about the Web site

252

10.3 Applying E-Qual to the FSMKE

254

10.3.1 The e-government context

254

10.3.2 The FSMKE

255

10.3.3 Research design

255

10.3.4 Survey implementation

255

10.4 The FSMKE evaluation

259

10.4.1 Perceptions of importance

259

10.4.2 Weighted scores and the EQI

259

10.4.3 Analysing the differences in the sites

262

10.4.4 Differences in perception among respondent groups

263

10.4.5 Qualitative data

264

Before site redesign

264

After site redesign

266

10.5 Recommendations for the FSMKE for e-Business improvement

267

10.5.1 Further implications

268

10.6 Summary

269

References and Further Reading

269

11 The e-sourcing opportunity: from projects and ASPs to value networks

272

11.1 Introduction

272

11.2 Research background

273

11.2.1 Sourcing Internet implementation capability

274

11.2.2 Sourcing e-development: four routes

275

The in-house development path

276

The ‘cheap-sourcing’ path

278

The outsourcing path

279

The insourcing/partnering path

280

Mixed development paths

280

11.3 e-Sourcing: from projects and technology to strategic partnering

282

11.3.1 Strategic partnering[sup(2)] in the customer resource life cycle

284

11.3.2 Strategic partnering[sup(2)] developments in the supply chain

286

11.3.3 Strategic partnering[sup(2)] towards virtual integration

289

11.4 Bringing IT together: management implications for e-sourcing

292

11.5 Conclusion: developments

294

Appendix 11A

295

Notes

298

References and Further Reading

298

12 Value creation in application outsourcing relationships: an international case study on ERP outsourcing

302

Abstract

302

12.1 Introduction

302

12.2 Theoretical foundation

304

12.2.1 Outsourcing and ERP outsourcing

304

12.2.2 RBV

305

Tangible IT resources

306

Human IT resources

306

IT-enabled intangibles

306

12.2.3 Contracts and SLAs

307

Transaction cost theory

307

Incomplete contract theory

307

12.2.4 RV

308

Relation-specific assets

308

Knowledge-sharing routines

309

Complementary resources and capabilities

309

Effective governance

309

12.3 Research approach

310

12.3.1 Research model

310

12.3.2 Case study research

310

12.4 Case study description

312

12.4.1 Capabilities

313

12.4.2 Contracts and SLAs

315

12.4.3 Inter-organizational relationships

315

12.5 Model-based analysis

316

12.5.1 Capabilities

316

IT infrastructure

316

Human IT resources

317

IT-enabled intangibles

318

12.5.2 Contracts and SLAs

318

ERP licences contract

319

ERP hosting contract

319

Information systems hardware contract

319

ERP functional application support contract

320

12.5.3 Inter-organizational relationship

320

Relation-specific assets

320

Knowledge-sharing routines

321

Complementary resources and capabilities

321

Effective governance

321

12.6 Lessons learned

322

12.6.1 Capabilities of the Service Recipient

322

12.6.2 Capabilities of the Service Providers

322

12.6.3 Impact of contracts

323

12.6.4 Impact of inter-organizational relationships

323

12.7 Discussion

324

12.7.1 The impact of market dynamics

324

12.7.2 The introduction of ERP software branch-specific modules

324

12.7.3 ERP software vendor consolidation

324

References and Further Reading

325

Part Four: e-Business Applications and Services

330

13 NHS information systems strategy, planning and implementation of primary service provision

332

13.1 Introduction

332

13.2 IS strategy, planning and implementation within the NHS

333

13.2.1 The problem: delivering value from NHS IS strategy

334

13.2.2 Software-as-a-Service to healthcare

335

13.2.3 Introducing the ASP model within the NHS: opportunity or threat?

336

13.2.4 PSP strategy, planning and implementation

336

13.3 Types of applications and Web service technology

338

13.3.1 Three generations of Internet technology

339

Simple Web server technology

339

Extended Web server technology

340

Advanced object-based Internet applications

341

13.3.2 Key issues and benefits

342

Cost reduction

342

Flexibility and speed

342

Patient care

343

Trust networking and strategic partnerships

343

Organizational impact

343

The future

344

13.3.3 Key suppliers

344

IBM

344

Oracle

344

Sun

345

Microsoft

345

ERP vendors

345

13.4 ASP concerns and risks

345

13.5 Web services applications in the NHS

347

13.5.1 ICRS

347

13.5.2 Delivering manageable applications

349

13.6 Conclusion

350

References and Further Reading

351

14 A framework of integrated models for supply chain e-Management

354

Abstract

354

14.1 Introduction

354

14.2 The concept of supply chain e-Management

356

14.3 SCNs: trends, major issues, and e-Management processes

357

14.3.1 Scalability in SCNs

360

14.4 General framework of supply chain e-Management and supporting technologies

363

14.5 Related research review

369

14.6 Models of problem solving in supply chain e-Management

370

14.6.1 General framework of SCN systems development

371

14.6.2 Taxonomy of domain-independent models

374

14.6.3 Taxonomy of domain-dependent models

376

14.7 Summary and conclusions

380

Appendix 14A A co-operative supply chain system decomposition model

381

Appendix 14B A co-operative supply chain system dynamic process flow model

382

References and Further Reading

384

15 Building out the Web services architecture: the challenge of software applications integration

389

15.1 Introduction

389

15.2 The evolution of software applications: a recent history

391

15.2.1 The xSP landscape

393

15.2.2 ASP

396

Definitions of ASP

396

The ASP market

397

Poor adoption and diffusion of ASP

398

15.2.3 Web services

400

Definitions of Web services

400

The Web services market

400

A new e-Business model or ‘more hype’?

402

15.3 Integration: the challenge for Web services?

406

15.3.1 Web services: a technical overview

406

From object-orientated component computing to Web services

406

EAI, ASP and Web services

407

The promise of Web services

407

The structure of SOAs

408

A comparison between Microsoft’s .NET and Sun’s J2EE platforms

409

15.3.2 Web services: the business benefits

412

Integration: the challenge for Web services?

412

15.4 Integration: two case studies in the financial services industry

414

15.4.1 Firm A

414

15.4.2 Firm B

414

15.4.3 The OMS

414

15.4.4 Complex systems and data

419

15.5 A case study on Web services at Amazon.com

420

15.5.1 Discovery and integration of the online Amazon Web service

420

15.5.2 Lessons learned as Amazon Web services’ client

421

15.6 Conclusion

422

References and Further Reading

423

About the authors

428

Glossary of terms

436

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B

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C

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D

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E

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Index

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D

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E

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G

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H

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I

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