Search and Find
Service
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
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