Designing E-Business Systems: Markets, Services, and Networks (eBook)

Title Page 2
Preface 5
Organization 7
Table of Contents 11
Electronic Markets 11
IDEM: A Prediction Market for Idea Management 13
Introduction 13
Prediction Markets for Idea Management 14
Trial Overview and System Walkthrough 17
Trial Results 19
Discussion 20
Idea Evaluation Methods 20
Comparison 22
Conclusions 23
References 24
Understanding Dynamic Competitive Technology Diffusion in Electronic Markets 26
Introduction 26
Literature Review 28
Model Development 29
Data Collection and Model Estimation 30
Forecasting Analysis 32
Discussion 34
References 35
Electronic Services 11
Examining Agencies’ Satisfaction with Electronic Record Management Systems in e-Government: A Large-Scale Survey Study 37
Introduction 37
Literature Review 38
Research Model and Hypotheses 40
Study Design and Data Collection 42
Data Analyses and Results 44
Discussion and Conclusion 45
References 47
Practical Security of Large-Scale Elections: An Exploratory Case Study of Internet Voting in Estonia 49
Introduction 49
Theoretical Background 51
Security 51
Further Security Related Issues 52
Methodology 53
Research Strategy 53
Case Study Design 54
The Case: Parliamentary Elections in Estonia 55
Electoral Environment 55
Usability 56
Electoral Process 56
Security 58
Quality 58
Transparency 59
Analysis 59
Conclusions and Outlook 60
References 61
Situational Effects on the Usage Intention of Mobile Games 63
Introduction 63
Background and Literature Review 64
Mobile Commerce and Mobile Games 64
Situational Effects 64
Research Model and Hypothesis 65
TRA and TAM 65
Perceived Playfulness for Games 66
Subjective Norm 66
Situational Factors 66
Instrument Development and Research Methodology 67
Instrument Development 67
Measure and Data Collection 68
Analysis of Results 68
Measurement Model 68
Structural Model 68
Situational Factor 69
Conclusion 70
References 70
Radio Frequency Identification 11
Modelling and Simulation of National Electronic Product Code Network Demonstrator Project 72
Introduction 72
Scenario Analysis by System Simulation 73
NDP Simulation Model 76
Parameters Used in Simulation 78
Analysis of Results 79
Conclusion 81
References 81
Benefit Analyses of Technologies for Automatic Identification to Be Implemented in the Healthcare Sector 83
Introduction 83
Goals of This Study 84
Scientific Approach and Automatic Identification Technologies Analysed 85
Fields of Application and Requirements to Auto-ID in the Healthcare Sector 85
RFID in Patient Treatment Processes and Logictics 86
Auto-ID Analysed 88
Established Criteria and Benefit Analysis 89
Established Criteria 89
Benefit Analysis 90
Conclusion 91
References 93
Service-oriented Architectures 11
An Exploratory Study of Risk Factors for Implementing Service-Oriented IS Projects 95
Introduction 95
Conceptual Background 96
IS Project Risks 96
IS Projects and Service-Oriented Enterprises 96
Research Model and Hypotheses Development 98
The Initial Research Model 98
Pretest and Revised Research Model 99
Hypotheses Development 99
Data Analysis 101
Data Collection 101
Instrument Validation 103
Mean Value Analysis 103
Regression Analysis 103
Conclusion 104
References 106
Cloud-Based DSS and Availability Context: The Probability of Successful Decision Outcomes 108
Introduction 108
System Reliability, Availability, and Decision Making 109
Existing Availability-Related Technologies 111
Decision-Related Computing Resource Availability as a System Reliability Problem 112
Decision Outcome as a Function of Resource Availability: A Probabilistic Model 115
Experimental Evaluation 116
Results 117
Conclusion 118
References 119
Do Clouds Compute? A Framework for Estimating the Value of Cloud Computing 122
Introduction 122
Definitions and Classification 123
Objective 124
Approach 124
Business Scenario 125
Quantitative Analysis 128
Evaluation and Discussion 130
New York Times TimesMachine 130
Major League Baseball 131
Powerset Search Engine 131
Jungle Disk 132
Related Work 132
Conclusion and Future Work 133
References 134
Virtual Communities 12
Analyzing Members’ Motivations to Participate in Role-Playing and Self-Expression Based Virtual Communities 136
Introduction 136
Hypotheses Development and Theoretical Background 138
Distinction between SEVC and RPVC 138
Definition of Participation in Virtual Communities 138
Factors Influencing Members’ Participation in Virtual Communities 139
Research Method 143
Questionnaire Development 143
Data Collection 143
Data Analyses and Sample Size 144
Conclusion 144
References 145
Evolution of Virtual Communities 147
Introduction 147
Theoretical Background 148
Evolution of VC 149
VC1.0 150
VC2.0 150
VC2.5 150
VC3.0 151
Beyond VC3.0 152
Conclusion 154
References 154
The Future of Professional Communities of Practice 156
Introduction 156
Overview of the NLM Report 157
Method 158
Information Overload in Emergency Preparedness and Management 158
Information Diversity and Sharing 160
Grassroots Community Efforts 162
Grassroots Community Efforts (Continued) 164
Interpretations of the Results 164
Conclusions and Observations 167
References 168
Web Intelligence 12
A Feature-Reinforcement–Based Approach for Supporting Poly-Lingual Category Integration 171
Introduction 171
Literature Review 173
Poly-Lingual Category Integration (PLCI) with Feature-Reinforcement 175
Bilingual Thesaurus Construction 175
Feature Reinforcement and Selection for Master Catalog (for $L_i$) 176
Monolingual Category Integration 178
Data Collection and Evaluation Design 178
Data Collection 179
Performance Benchmark and Evaluation Design 179
Evaluation Procedure and Criteria 180
Empirical Evaluation Results 180
Parameter-Tuning Results 180
Comparative Evaluation Results 181
Conclusion and Future Research Directions 182
References 183
On Logic and Standards for Structuring Documents 184
Introduction 184
Example: EDI Messages 185
Fixing Reference 190
Propositional Structure 192
Message Constraints 194
Conclusion 197
References 198
Patent Analysis for Supporting Merger and Acquisition (M& A) Prediction: A Data Mining Approach
Introduction 199
Literature Review 201
Patent Analysis for M& A Prediction
Variables for M& A Prediction
Ensemble Learning Algorithm 206
Empirical Evaluation 207
Data Collection 207
Evaluation Design 209
Effectiveness of the Proposed M& A Prediction Technique
Effects of Decision Combination Methods 210
Conclusion and Future Research Direction 210
References 211
Use of Ontology to Support Concept-Based Text Categorization 213
Introduction 213
Literature Review 215
The Feature-Based Text Categorization Technique 215
Latent Semantic Indexing in Text Categorization 215
Ontology and Ontology Enrichment Technique 216
Design of Ontology-Based Text Categorization (OTC) Technique 217
Document-Concept Transformation 217
Document Representation 219
Document Categorization 219
Evaluation Design and Results 219
Evaluation Design 220
Evaluation Results 221
Conclusion and Future Research Directions 222
References 223
Author Index 226