The document outlines various enterprise systems including functional systems, e-business systems, and knowledge management. It describes marketing, manufacturing, human resource, accounting, and financial management systems as part of functional systems. For e-business systems it discusses ERP, CRM, SCM, and other systems. It also explains knowledge management processes and applications.

1. Outlines
 Enterprise Functional Systems
 Enterprise E-business systems
 Knowledge management

2. Enterprise Functional Systems
 Functional Business Systems
Marketing
Production/
Operation
Accounting Finance
Human Resource
Management

3. Marketing Systems
 Marketing Systems
– One-to-one marketing
– Interactive marketing
– Target marketing
– Sale force automation
– Advertisements
– Customer services

4. Manufacturing Systems
 Manufacturing Systems
Production
Forecasting
Production
Scheduling
Material
Requirement
Capacity
Planning
Production
Cost Control
Quality
Control
Shop Floor
Scheduling
Shop Floor
Control
Machine
Control
Robotics
Control
Process
Control
CAD
CAE
Computer-aided
Process Planning
Product Simulation
and Prototyping
Computer-Aided Manufacturing
Enterprise
Resource
Planning
Resource
Planning
Execution Engineering

5. Human Resource Management
 Human Resource Management
– Staffing
– Training and development
– Compensation and administration
– HRM and the Internet
– HRM and intranets
– Cyber job market

6. Accounting Systems
Sale Order
Processing
Billing
Sales
Analysis
Account
Receivable
Cash
Receipts
Accounts
Payable
Cash
Disbursements
Purchases
Inventory
Processing
Payroll
Time-
keeping
General
Ledger
Financial
Reporting
Sales Transaction
Processing System
Purchases Transaction
Processing System
General Ledger
and Reporting
System
Cash Receipts and
Disbursements Transaction
Processing System

7. Financial Management Systems
 Financial Management Systems
– Cash management
– Investment management
– Capital budgeting
– Financial planning

8. Enterprise E-Business Systems
 E-Business systems
– Enterprise resource planning(ERP)
– Customer relationship management(CRM)
– Supply chain management(SCM)
– Partner relationship management(PRM)
– Decision support systems(DSS)
– Knowledge management systems(KMS)
– Management information systems(MIS)

9. Enterprise E-Business Systems
SCM
CRM
ERP
Supplier
Customer
Employee
Partners
DSS
PRM
KMS
HRM

10. E-business Systems(ERP)
 Enterprise resource planning(ERP)
Employees/
(Customers)
Sales,
Distribution,
Order
Management
Production
Resource
Planning
Integrated
Logistics
Accounting
and Finance
Human
Resources

11. E-business Systems(ERP Value)
 Benefits and Challenges of ERP
– Quality and efficiency
– Reducing cost
– Decision support
– Enterprise Agility
ERP with emphasis on enhancing enterprise business
value

12. E-business Systems (ERP
Problems)
 Problems of implementing ERP in enterprises
– Major challenge: Business process
reengineering(BPR)
– Resistance of both managers and staffs
– Top managers’ commitment and consensus
– Users’ involvement
– High cost

13. E-business Systems (Types of ERP)
– Corporate cultures
– Management systems and ownerships
 Types of ERP to be implemented
Flexible
EC integration
Inter-
organization
EB suites/
ERPII
Time
Internal
External
Chinese
Enterprises

14. E-business Systems(ERP Cost)
 ERP Cost
Reengineering
43%
Hardware
12%
Software
15%
Training and
Change Mgmt
15%
Data
Conversions
15%

15. E-business Systems(CRM)
 Customer relationship management(CRM)
Marketing and
Fulfillment
Sales
Management
Customer
Account and Data
Management
Retention
and
Loyalty
Programs
Customer
Service and
Support
Customer
and Prospect
Fax
Telephone
E-Mail
Web
Mobile

16. E-business Systems(CRM Value)
 Benefits and challenges of CRM
– Customer interests and needs
– Customer service
– Customer loyalty
– Personalization
– Quick feedback and response
CRM with emphasis on enterprise customer value

17. E-business Systems(CRM Types)
 Types of CRM systems to be implemented
Operational
Analytical
Collaborative
Portal/Intelligent
Internal
External
Chinese
Enterprises
Time

18. E-business Systems(SCM)
 Supply chain management(SCM)
Suppliers/
Customers
Transportation
and Shipment
Management
Sourcing and
Procurement
Order
Fulfillment
Distribution
and Inventory
Management
Logistics
Management

19. E-business Systems(SCM Value)
 Benefits and challenges of SCM
– Fast and accurate order processing
– Inventory management
– Time to market
– Transaction and material cost
– Strategic relationships and alliances
– Enterprise flexibility
– Customer accountability
SCM with emphasis on both enterprise business value and
customer value

20. E-business Systems(SCM Types)
 Types of SCM to be implemented
Supply Chain
improvement
E-Supply Chain
Supply Chain
Integration
Internal
External
Chinese
Enterprises
Time

21. Knowledge Management
 Knowledge management Activities
– Knowledge creating/acquiring
– Knowledge presenting, storing and renewal
– Knowledge sharing and services
– Knowledge applying

22. Knowledge Management Processes)
 Knowledge management processes
Knowledge
creating and
acquiring
Knowledge
Presenting
and Storing
Knowledge
sharing and
services
Knowledge
applying

23. Knowledge Management
(Knowledge Categories)
 Knowledge management: Categories of knowledge
– Tacit/Explicit knowledge
Explicit
Tacit
Internalization
Socialization Externalization
Combination
Explicit
From
To
Tacit

24. Knowledge Management
(Intellectual Capitals)
 Sources of knowledge: Intellectual capital
– Human capital
– Structural capital
– Customer/partner capital

25. Knowledge Management
(Knowledge Creating)
 Knowledge creating/acquiring
Human
Capital
Structural
Capital
Partner
Capital
Knowledge
Acquisition
Tacit Knowledge
Explicit/Tacit Knowledge
Explicit Knowledge

26. Knowledge Management (Tacit
Knowledge Acquisition)
– Tacit knowledge acquisition
 Knowledge engineering
 Intelligent agents
 Management measures
 Cognitive science applications
 Natural language processing

27. Knowledge Management (Explicit
Knowledge Acquisition)
– Explicit knowledge acquisition
 Data mining
 Web mining
 Text mining
 Intelligent agents

28. Knowledge Management
(Knowledge Storing)
 Knowledge presenting, storing and renewal
– Knowledge modeling
– Data warehouse
– Knowledge base
– Ontology base

29. Knowledge Management
(Knowledge Sharing)
 Knowledge sharing and services
– Knowledge portal
– Application Ontology
– Knowledge query and visualization

30. Knowledge Management
(Knowledge Applying)
 Knowledge applications
– Decision support
– Business intelligence
– Innovation
– New business opportunities
– Enterprise adaptability

31. E-Business
E-business in Business
 E-business:Use of Internet technologies to
internetwork and empower business
processes,electronic commerce,and enterprise
communication and collaboration within a company
and with its customers,suppliers, and other business
stakeholders.

32. E-Commerce
 Concept
Describing the buying, selling, and exchanging
products, services, and information via
computer networks including mainly the
Internet

33. E-Commerce Framework
 Applications
 Support Services
– People
– Public policy
– Marketing
– Business Support
– Business partnership

34. E-Commerce Framework
 Infrastructure and Management
– Common services
– Messaging and information distribution
– Multimedia and network publishing
– Network infrastructure
– Interfacing and integration

35. E-Commerce Framework
 Framework

36. E-Commerce Models
 E-Commerce Models -- In transactional
Perspective
– B2B
– B2C
– C2C
– ---------------------------------------------------------
– B2G
– C2G

37. E-Commerce Models
 E-Commerce Models -- In
Cyberspace/Marketplace Perspective
– Buyer oriented marketplace
– Seller oriented marketplace
– Infomediary oriented marketplace

38. E-Commerce Models
 Pure and Partial EC—from Process Perspective

39. E-Commerce Business Models
 EC Revenue Models
– Sales
– Transaction fees
– Subscription fees
– Advertising fees
– Affiliate or referring fees
– Other services

40. E-Marketing and Sales
 Electronic Storefront and Malls
 Intermediaries
 Market Mechanisms
– Catalogs
– Search engines
– Shopping carts
– Intelligent agents
– Auctions

41. E-Marketing and Sales
 Issues in E-Market
– Reach and richness
– Liquidity
– Quality
– Success factors
 Economics of E-Marketplaces
– Product cost curves
– Reach versus richness

42. E-Marketing and Sales
 Economics of E-Marketplaces
Regular Products
Digital Products
Cost
Quantity

43. Electronic Retailing
 E-Tailing
 Travel and Tourism
 Job Market
 Real Estate, Insurance, Stock Trading
 E-Banking
 E-Delivery
 Sales Channels

44. Electronic Retailing
 Clicks and Bricks Strategies
 Issues in E-Tailing
– Disintermediation and reintermediation
– Channel Conflicts
– Determining the right price
– Personalization

45. Online Advertisement
 Web Advertisement
– Advertising methods
– Advertising strategies
– Economics of Web advertising
– Issues of Web advertising
– Unsolicited electronic ads--spamming

46. Decision Support in Business
 Business and Decisions
– Information, decisions, and management
Strategic
Management
Tactical
Management
Operational
Management
Unstructured
Structured
Semistructured

47. Management Information Systems
 MIS
– Producing information products that support many
of the day-to-day decision making needs of
managers and business professionals
 Management Reporting Alternatives
– Periodic scheduled reports
– Exception reports
– Demand reports and responses
– Push reporting

48. Online Analytical Processing
 Online Analytical Processing
– Consolidation
– Drill-Down
– Slicing and Dicing

49. Decision Support Systems
 Decision Support Systems
– Components
Interface/Visualization
Modeling/Analysis
Data Management
Data
Base
Model
Base
User Interface

50. Decision Support Systems
 Geographic Information and Data Visualization
Systems
– GSS
– DVS
– VRML

51. Using Decision Support Systems
 Using DSS
– What-If Analysis
– Sensitivity analysis
– Goal-Seeking analysis
– Optimization analysis

52. Executive Information Systems
 EIS Features
– To the preferences of the managers
– GUI and visualization
– Data analysis
– Easy to use

53. Artificial Intelligence Technologies
in Business
 An Overview of Artificial Intelligence
– Domains of AI
Artificial
Intelligence
Cognitive
Science Apps
Robotics
Applications
Natural
Interface Apps

54. Artificial Intelligence
 Attributes of Intelligent Behavior
– Think and reason
– Use reason to solve problems
– Learn or understand from experience
– Acquire and apply knowledge
– Exhibit creativity and imagination
– Deal with complex and perplexing situations
– Respond quickly and successfully to new situations
– Recognize the relative importance of elements in a situation
– Handle ambiguous,incomplete, and erroneous information

55. Artificial Intelligence
 Neural Networks
 Fuzzy Logic Systems
 Genetic algorithms
 Virtual Reality
 Intelligent Agents
 Expert Systems

56. Expert Systems
Components of an expert system
– User interface
– Inference engine
– Knowledge base
– Knowledge acquisition

57. Expert Systems
User
Interface
Inference
Engine Knowledge
Base
Knowledge
Acquisition
Expert/Knowledge
Engineer
User
Expert System Development
Expert System

58. Expert Systems
 Suitability Criteria
– Domain: Relative small and limited to a well-defined problem
area
– Expertise: A body of knowledge,techniques,and intuition is
needed that only a few people possess
– Complexity: Solution of the problem is a complex task that
requires logical inference processing,which would not be
handled as well by conventional information processing
– Structure: The solution process must be able to cope with ill-
structured,uncertain,missing,and conflicting data, and a
problem situation that changes with the passage of time

59. Expert Systems
– Availability: An expert exists who is articulate and
cooperative,and who has the support of the
management and end users involved in the
development of the proposed system
 Benefits and Limitations