Nelson / Shaw / Strader 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
2009
ISBN: 978-3-642-03132-8
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 36, 330 Seiten

Reihe: Lecture Notes in Business Information Processing

This book includes selected papers from the E-Commerce and E-Business (SIGeBIZ) track at the 15th Americas Conference on Information Systems, AMCIS 2009, held in San Francisco, CA, USA, on August 6-9, 2009. The 25 papers presented address emerging e-business issues and are organized into four research lines: business models for the digital economy, electronic and mobile commerce behavioral and global issues, IS in financial markets and institutions, Web 2.0 and e-commerce and collaborative value creation.

Autoren/Hrsg.

Nelson, Matthew L.

Shaw, Michael J.

Strader, Troy J.

Inhaltsverzeichnis

1;Title Page;2
2;Preface;5
3;Table of Contents;7
4;Generic Business Model Types for Enterprise Mashup Intermediaries;10
4.1;Introduction;10
4.1.1;Motivation and Problem Scope;10
4.1.2;Research Design: Design Science Applied;12
4.2;Objectives of the Solution: Background and Related Work;13
4.2.1;Enterprise Mashups – Definition of Terms and Characteristics;13
4.2.2;Interaction Agent Model;14
4.2.3;Business Models;15
4.3;Design: Interaction Phase Model for Mashup Intermediaries;17
4.4;Demonstration: Case Studies;19
4.4.1;Instances of Mashup Intermediaries;20
4.4.2;Generic Business Model Types: Directory, Broker and Marketplaces;23
4.5;Conclusion and Future Work;23
4.6;References;24
5;The Commercial Open Source Business Model;27
5.1;Introduction;27
5.2;Prior and Related Work;28
5.3;Commercial vs. Community Open Source;29
5.3.1;Community Open Source;30
5.3.2;Commercial Open Source;30
5.4;The Commercial Open Source Business Model;31
5.4.1;Revenue Sources;31
5.4.2;Business Functions;32
5.4.3;Community Management;33
5.4.4;Sales;33
5.4.5;Marketing;35
5.4.6;Product Management;35
5.4.7;Engineering;36
5.4.8;Support;36
5.5;Conclusion;37
5.6;References;37
6;IPhone or Kindle: Competition of Electronic Books Sales;40
6.1;Introduction;40
6.2;Literature Review;42
6.3;Model;43
6.3.1;Competition under the Scenario of Complete Information;46
6.3.2;Competition under the Scenario of Incomplete Information;48
6.4;Conclusion;49
6.5;References;50
6.6;Appendix;51
7;Business Models in Emerging Online Services;53
7.1;Introduction;53
7.2;Software-as-a-Service;54
7.2.1;Suggested Pricing/Delivery Structures;55
7.2.2;Target Market Segments;55
7.2.3;Procedures for Assessing Business Model Effectiveness;55
7.2.4;Vulnerability to or Threat to Other Business Models;56
7.2.5;User Concerns;56
7.3;Social Computing Tools and Services;56
7.3.1;Suggested Pricing/Delivery Structures;56
7.3.2;Target Market Segments;57
7.3.3;Procedures for Assessing Business Model Effectiveness;58
7.3.4;Vulnerability to or Threat to Other Business Models;58
7.3.5;User Concerns;58
7.4;Virtual Worlds;58
7.4.1;Suggested Pricing/Delivery Structures;59
7.4.2;Target Market Segments;59
7.4.3;Procedures for Assessing Business Model Effectiveness;59
7.4.4;Vulnerability to or Threat to Other Business Models;60
7.4.5;User Concerns;60
7.5;Implications of Emerging Business Models;60
7.6;Conclusions and Future Work;62
7.7;References;63
8;Business Model Design from an ANT Perspective: Contributions and Insights of an Open and Living Theory;65
8.1;Introduction;65
8.2;From Value Chains to Value Networks;66
8.3;A Brief Overview of Actor-Network Theory;68
8.4;Why Seeking Inspiration in Actor-Network Theory;69
8.5;A Business Model Design and Analysis Approach Based on Actor-Network Theory;70
8.5.1;FoodAtYourDisposal Business Idea;71
8.5.2;Assessing the Business Model;71
8.6;Conclusions;75
8.7;References;75
9;Customer-Specific Transaction Risk Management in E-Commerce;77
9.1;Increasing Turnover Potentials and Risks in E-Commerce;77
9.2;Business Scenario: An E-Tailer with Risk Management;78
9.3;Customer Valuation and Risk Aspects;79
9.3.1;Module 1: Evaluating Customer Potentials;79
9.3.2;Measuring Customer Values;80
9.3.3;Measuring Customer Risks;81
9.3.4;Module 2: Evaluating Risks of Payment Methods;82
9.3.5;Model for a Risk-Adjusted Customer Valuation;84
9.4;Conclusion and Outlook;86
9.5;References;87
10;An Evaluation of Multiple Perceptions of Digital Rights Management;89
10.1;Introduction;89
10.2;Digital Rights Management: An Overview;90
10.3;The Stakeholders;90
10.4;The Creators’ Viewpoint;91
10.5;The Copyright Owners’ Viewpoint;91
10.6;The Distributors’ Viewpoint;92
10.7;The End Users’ Viewpoint;93
10.8;The Lawmakers’ Viewpoint;94
10.9;Conclusion;95
10.10;Contribution and Future Research;96
10.11;References;96
11;Consumer’s Online Shopping Influence Factors and Decision-Making Model;98
11.1;Introduction;98
11.2;Literature and Hypothesis;99
11.2.1;Perceived Benefit;100
11.2.2;Perceived Risk;100
11.2.3;Online Shopping Relevant Elements;102
11.2.4;Online Shopping Conceptual Model;103
11.3;Research Design and Methodology;104
11.3.1;Data Employed;104
11.4;Structural Equation Modeling;104
11.4.1;Model 1 and Data Analysis;104
11.4.2;Model 2 and Data Analysis;106
11.4.3;Model 3 and Data Analysis;107
11.5;Conclusion and Implication;109
11.6;References;110
12;Generation Gap and the Impact of the Web on Goods Quality Perceptions;112
12.1;Introduction;112
12.2;Previous Studies and Hypothesis;113
12.2.1;Search, Experience, and Credence Goods Perception;113
12.2.2;Contributing Factors and Hypothesis;114
12.3;Research Design;116
12.4;Data Analysis and Findings;117
12.4.1;The Concave Relationship between Age and Web Shopping Experience;117
12.4.2;The SEC Ratings of the 6 Products by Age Groups;117
12.4.3;Web Shopping Experience;118
12.4.4;The Interaction Effect of Age and Web Shopping Experience;119
12.5;Implications;119
12.6;Conclusion;120
12.7;References;120
13;How the Website Usability Elements Impact Performance;122
13.1;Introduction;122
13.2;Literature and Hypotheses;123
13.3;Method;128
13.3.1;Data Collection, Tasks, and Measure;128
13.3.2;Model Validation;130
13.3.3;Moderating Variables;131
13.4;Discussion and Implications;132
13.4.1;Limitations and Future Research;134
13.5;References;135
13.6;Appendix;138
14;Effects of Website Interactivity on Online Retail Shopping Behavior;140
14.1;Introduction;140
14.2;Online Consumer Behavior and Website Interactivity;141
14.3;The Tam Framework for Internet Usage;142
14.4;Research Framework Discussion;143
14.4.1;Perceived Usefulness (PU);143
14.4.2;Perceived Enjoyment (PE);144
14.4.3;Perceived Ease of Use (PEOU);144
14.4.4;Attitude and Intention;145
14.4.5;Trust as a Moderator;145
14.4.6;Proposed Research Framework;146
14.5;Hypothesis Propositions;146
14.6;Research Methodology;148
14.7;Implications for Researchers and Practitioners;148
14.8;Conclusion;148
14.9;References;149
15;Trust-Building in Electronic Markets: Relative Importance and Interaction Effects of Trust-Building Mechanisms;152
15.1;Introduction;152
15.2;Literature Review;153
15.3;Theory Development;155
15.4;Overview of Tasks, Design, and Methods;156
15.5;Hypotheses;157
15.6;Methodology;158
15.6.1;Participants;158
15.6.2;Design and Tasks;158
15.6.3;Procedure;160
15.7;Expected Results;160
15.8;Conclusion;162
15.9;References;162
16;Pricing Strategy in Online Retailing Marketplaces of Homogeneous Goods: Should High Reputation Seller Charge More?;164
16.1;Introduction;164
16.2;Theoretical Background;165
16.2.1;Online Retailing Marketplace;165
16.2.2;Search Costs in Online Retailing Marketplace;166
16.2.3;IT Facilities in Online Retailing Marketplace;167
16.2.4;Experienced and Inexperienced Consumers;168
16.2.5;Price Sensitivity and Seller Reputation;169
16.3;Data;170
16.3.1;Data Collection and Variables;170
16.3.2;Analysis Method;172
16.4;Results;172
16.5;Discussions;174
16.6;References;175
17;Secure Mobile Support of Independent Sales Agencies;178
17.1;Introduction;178
17.2;Methodological Approach;179
17.3;System Overview;180
17.4;Collaborative Multi-vendor Sales Processes;181
17.5;Security Requirements;182
17.5.1;5.1 Management of Customer Data;182
17.5.2;Visit Reports;183
17.5.3;Recall of the Customer’s History;184
17.5.4;Access to Catalog Data;184
17.5.5;Unstructured Requests for Quotation:;184
17.5.6;Creation of Quotes;185
17.6;Security Extension of the IT-Artifact;185
17.7;Evaluation;187
17.8;Limitations;188
17.9;Conclusion;188
17.10;References;188
18;People-to-People Lending: The Emerging E-Commerce Transformation of a Financial Market;191
18.1;Introduction;191
18.2;People-to-People Lending;192
18.2.1;The People-to-People Lending Model and Marketplaces;192
18.2.2;Types of People-to-People Lending Marketplaces;193
18.2.3;The Profit-Seeking Model;195
18.2.4;The Philanthropic Model;197
18.2.5;The Family and Friend Model;197
18.2.6;The Tupperware Party Model;197
18.3;Supporting Roles of IT and Resulted Characteristics of P2P Lending;198
18.3.1;Market Maker;198
18.3.2;Investment Strategy Enabler;199
18.3.3;Community Builder;200
18.4;Research Agenda;200
18.5;Conclusion;203
18.6;References;203
19;Forecasting U.S. Home Foreclosures with an Index of Internet Keyword Searches;205
19.1;Introduction;205
19.1.1;Risk Management Models;206
19.2;Research Objective;206
19.3;Sources of Data;207
19.4;Results;208
19.5;Limitations of the Approach;210
19.6;Conclusion;210
19.7;References;211
20;Organizing Equity Exchanges;213
20.1;Introduction;213
20.2;Economies of Trading and Post-Trading;214
20.2.1;Trade Execution, Clearing, and Settlement;214
20.2.2;Network Effects;215
20.2.3;Economies of Scale and Scope;215
20.2.4;Diversification;216
20.3;Literature Review and Hypothesis;216
20.3.1;Literature Review;216
20.3.2;Hypotheses;217
20.4;Current Status of the Trading and Post-Trading Industry;217
20.5;Empirical Evidence of Economies of Scale;219
20.5.1;The Model and Data Sample;219
20.5.2;Empirical Results;222
20.6;Organization of Exchanges;222
20.6.1;The Model and Data Sample;222
20.6.2;Empirical Result;224
20.7;Conclusion and Outlook;224
20.8;References;225
21;The Impact of New Execution Venues on European Equity Markets’ Liquidity – The Case of Chi-X;227
21.1;Introduction;227
21.2;Related Literature;229
21.3;Empirical Analysis;230
21.3.1;Euronext Paris and Chi-X Market Structures;231
21.3.2;Dataset;231
21.3.3;Methodology;232
21.4;Results;233
21.5;Conclusions;237
21.6;References;237
21.7;Appendix;239
22;System Latency in Linked Spot and Futures Markets;240
22.1;Introduction;240
22.2;The Theoretical Background;242
22.2.1;Lead-Lag Effect;242
22.2.2;Latency;243
22.3;The Market Mircostructure;244
22.3.1;Xetra and DAX Index;244
22.3.2;Eurex and DAX Index Futures;245
22.3.3;Institutional Differences in Latency;245
22.4;The Data;246
22.5;The Lead-Lag Effect under Asymmetric Latency;248
22.5.1;Lead-Lag Regressions;248
22.5.2;Dummy Regressions;250
22.6;Conclusion;252
22.7;References;253
23;Quantifying Users’ Interconnectedness in Online Social Networks – An Indispensible Step for Economic Valuation;255
23.1;Introduction;255
23.2;Background;256
23.2.1;Definition of Online Social Networks;256
23.2.2;Economic Valuation of Online Social Networks;257
23.3;Method;260
23.3.1;Discussion of Common Centrality Measures;260
23.3.2;A New, PageRank Based Centrality Measure for Online Social Networks;262
23.4;Illustration of the New Centrality Measure and Discussion of the Results;263
23.5;Summary;265
23.6;References;265
24;Enhancing the Quality of Financial Advice with Web 2.0 – An Approach Considering Social Capital in the Private Asset Allocation;268
24.1;Introduction;268
24.2;Social Capital within the Asset Allocation;269
24.2.1;Definition of Social Capital;269
24.2.2;Considering Social Capital in the Asset Allocation;271
24.3;Challenges and Implications to the Consultancy;272
24.3.1;Social Network Analysis;273
24.3.2;Integration of Social Capital within a Consultancy Process;274
24.4;Conclusion;277
24.5;References;278
25;Web 2.0 in SME Networks - A Design Science Approach Considering Multi-perspective Requirements;280
25.1;Introduction;280
25.2;Methodological Approach and Research Design;281
25.3;Related Work;282
25.3.1;Web 2.0 and Enterprise 2.0 in the Context of SMEs;283
25.3.2;Web 2.0 and Social Software - State-of-the-Art;283
25.3.3;Enterprise 2.0 - State-of-the-Art;283
25.3.4;The Challenge of Applying Web 2.0 in SMEs;284
25.4;Towards a Concept to Support SME Networks in Cooperation – A Use Case;285
25.4.1;Use Case Background;285
25.4.2;Requirements of a Regional SME Network Towards Web 2.0 Artifacts;286
25.4.3;Recommendations;289
25.5;Summary and Outlook;290
25.6;References;291
26;Mashups: An Approach to Overcoming the Business/IT Gap in Service-Oriented Architectures;293
26.1;Introduction;293
26.2;Mashups and Service-Oriented Architectures;294
26.2.1;Mashups;294
26.2.2;Mashup Categories;295
26.2.3;Service-Oriented Architectures;296
26.3;A Comparison of Mashups and Service-Oriented Architectures;297
26.3.1;Similarities between Mashups and Service-Oriented Architectures;297
26.3.2;Differences between Mashups and Service-Oriented Architectures;298
26.4;Summary;301
26.5;Conclusion and Outlook;302
26.6;References;302
27;Online Reputation Systems in Web 2.0 Era;305
27.1;Introduction;305
27.2;Reputation and Reputation Systems;306
27.3;Online Reputation Systems Overview;307
27.3.1;System Input;307
27.3.2;System Processing;307
27.3.3;System Output;309
27.4;Problems with Pre-Web2.0 Online Reputation Systems;309
27.5;Online Reputation Systems in Web 2.0 Era;310
27.6;Conclusion;314
27.7;References;314
28;Evolution of Decision Rules Used for IT Portfolio Management: An Inductive Approach;316
28.1;Introduction;316
28.2;Background;317
28.2.1;IT Portfolio Management and Rules;317
28.2.2;Logic of Appropriateness;318
28.3;Methodology;319
28.3.1;Data;319
28.3.2;Measure Development;320
28.3.3;Inductive Learning;322
28.4;Results;323
28.4.1;Key Findings (Year One);323
28.4.2;Key Findings (Year Two);325
28.4.3;Comparative Findings;326
28.5;Concluding Comments;327
28.6;References;327
28.7;Appendix 1: Selecting the Best Representative Decision Model;329
29;Author Index;330