Intelligent Enterprises of the 21st Century
Authors: Jatinder N.,  Gupta D.,  Sushil K.
Published year: 2003
 Pages: 188-194/195
Buy this book on amazon.com >>


Index

S

secure sockets layer (SSL) 307

security 198

security infrastructure 305

security policy 309

security service. 79

seller agent 81

service architecture 78

service awareness effect 249

service industries 13

service quality 49

settlement service 80

shared cost effect 250

shipping agent 81

shipping service 80

shopping agents 126

simple object access protocol (SOAP) 92

Singapore 164

small businesses 223

software agents 72

standard pricing 249

storefront usability 49

strategic enterprise management 115

substitute product 249

supply chain management 15, 114



Index

T

tacit knowledge 5

technoholic 263

technology acceptance model (TAM) 47

telecommunications 197

third generation (3G) mobile phones 169

translation service 80

transport level 71

trust 50



Index

U

unemployment 12

user interface 145



Index

V

vendors 146

virtual layout 294

virtual location 295

virtual stores 45



Index

W

warranty agent 82

warranty service 80

Web services 96

Web-based marketers 246



Index

Y

yield management 254



List of Figures

Chapter 1: Knowledge Economy and Intelligent Enterprises

Figure 1

Chapter 2: The Macroeconomic Benefits of Intelligent Enterprises

Figure 1: U.S. Real GDP Growth has Become More Stable.
Figure 2: Extreme GDP Growth Rates Much Less Common Today.
Figure 3: More than 83 Percent of Reduced GDP Volatility from Three Sectors.
Figure 4: Durables Inventory-to-Shipments Ratio Fell Dramatically in the 1990s.
Figure 5: Productivity Growth has Generally Increased in Recent Years.
Figure 6: Large Firms are Vertically Disintegrating and Getting Leaner.

Chapter 3: A Comparative Analysis of eBay and Amazon

Figure 1: Amazon.com's Stock Price Path .
Figure 2: EBay's Stock Price Path.
Figure 3a: Amazon's Initial Vision.
Figure 3b: eBay's Initial Vision.

Chapter 4: Key Determinants of Consumer Acceptance of Virtual Stores: Some Empirical Evidence

Figure 1: Theoretical Model for Consumers' Acceptance of Virtual Stores.
Figure 2: The Model of Consumer Acceptance of Virtual Stores. (Coefficients associated with structural paths represent standardized estimates; parenthesized values represent standard errors.)
Figure 3: Learning in One-To-One Marketing.

Chapter 5: Next Generation B2B Commerce using Software Agents

Figure 1: An e-Exchange Environment.
Figure 2: Logical View of an e-Exchange.
Figure 3: High-Level Service Architecture.
Figure 4: "Get Item Price" Message in SOAP/XML Format.
Figure 5: "Get Item Price Response" Message in SOAP/XML Format.
Figure 6: Catalog Query Transaction.
Figure 7: Purchase Request Transaction.

Chapter 6: Building Adaptive E-Business Infrastructure for Intelligent Enterprises

Figure 1: Web Services Enabled Advanced e-Business Integration.
Figure 2: Web Services Creation and Invocation.
Figure 3: Federated Web Services Discovery.
Figure 4: Advanced Web Services Discovery Portal.
Figure 5: Web Services Composition Toolkit.
Figure 6: Universal Grid Services.

Chapter 7: The Evolving E-Business Enterprise Systems Suite

Figure 1: ERP as Defined by SAP R/3 (circa 1997).
Figure 2: e-Business Systems Suite. (Adapted from Kalikota and Robinson, 2002.)
Figure 3: CRM in the e-Business Systems Suite. (Adapted from Kalikota and Robinson, 2002.)
Figure 4: Strategic Enterprise Management Architecture. (Adapted from KPMG, UK— eFinance SAP Strategic Enterprise Management, 2000.)

Chapter 8: A Framework of Intelligence Infrastructure Supported by Intelligent Agents

Figure 1: Evolution of Organizations and their Information Infrastructure.
Figure 2: Agent-Supported Intelligence Infrastructure Framework.
Figure 3: Three Tier Model of Intelligence Infrastructure.

Chapter 9: Enterprise Resource Planning for Intelligent Enterprises

Figure 1: Client/Server Architecture of ERP Systems.
Figure 2: Evolution of ERP Systems.
Figure 3: Big-Band vs. Phased Strategies.

Chapter 10: New Challenges in Electronic Payments

Figure 1: Payment System Profiles.
Figure 2: Layering of User Requirements Profiles.

Chapter 11: Infrastructure and Policy Frameworks for the Support of Intelligent Enterprises: The Singapore Experience

Figure 1: Trend in Penetration Rates for Mobile and Fixed Line Telephony.

Chapter 12: Application Service Provision: A Technology and Working Tool for Intelligent Enterprises of the 21 st Century

Diagram 1: A Tool for Controlling Influences in a Complex Environment.
Diagram 2: Proxy Server Protection System.
Diagram 3: Evolution of Web Services.

Chapter 14: From Data to Decisions: Knowledge Discovery Solutions for Intelligent Enterprises

Figure 1: The Knowledge Architecture (Wickramasinghe & Mills, 2001).
Figure 3: Key Elements of a Knowledge-Based Enterprise.
Figure 4: KM Architecture.
Figure 5: Knowledge Management Process Model.

Chapter 15: E-Pricing for Intelligent Enterprises: A Strategic Perspective

Figure 1: Percentage of Online Purchases Made from the First Site Visited.
Figure 2: Dimensions for Internet Price Improvement.

Chapter 16: Linking E-Commerce Strategies with Organizational and IS/IT Strategies

Figure 1: E-Commerce Architecture. (Adapted from Krasner, 2000.)
Figure 2: The Role of IOS and E-Commerce.

Chapter 17: Managing Operations in the E-Commerce Era: Requirements and Challenges

Figure 1: E-Commerce Linkages
Figure 2: A Framework for Operations in an E-Commerce Environment.
Figure 3: Schematic Representation of a Typical Supply Chain.

Chapter 18: E-Business Systems Security for Intelligent Enterprises

Figure 1: E-Business Systems Security with Focus on Management of Human Factors.
Figure 2: Managing Security Policy.
Figure 3: Using the Business Intelligence Approach to Formally Support Risk Management.
Figure 4: A Simplified Causal Loop Diagram of Human Resources Management for an Organization's Security Policy (the complete and updated model is available from http—//epos.ijs.si/spcld.mdl)..
Figure 5: Simulation of the Basic Mode of Operation of SPCLD Model.
Figure 6: Shortening the Delay Between Real Risk and Security Policy Level in the SPCLD Model.
Figure 7: Achieving a Better Output by Less Stringent Requirements on Delays and by Increasing Security Policy Level.
Figure 8: Building Business Intelligence Based Architecture to Support Security Management.

Chapter 19: Modern Maintenance Management for Enhancing Organizational Efficiency

Figure 1: Maintenance Management Process Construction (Wireman, 98).
Figure 2: Stages in the Process of Managing Maintenance (Campbell, 1998).


Intelligent Enterprises of the 21st Century
Authors: Jatinder N.,  Gupta D.,  Sushil K.
Published year: 2003
 Pages: 188-194/195
Buy this book on amazon.com >>

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