Enterprise Electronic Business Systems

1
Enterprise Electronic Business Systems

• Prof.Dr. Yang Dehua
• School of Economics and Management
• Tongji University

2
Outlines

• Enterprise Functional Systems
• Enterprise E-business systems
• Knowledge management

3
Enterprise Functional Systems

• Functional Business Systems

4
Marketing Systems

• Marketing Systems
• One-to-one marketing
• Interactive marketing
• Target marketing
• Sale force automation
• Advertisements
• Customer services

5
Manufacturing Systems

• Manufacturing Systems

6
Human Resource Management

• Human Resource Management
• Staffing
• Training and development
• Compensation and administration
• HRM and the Internet
• HRM and intranets
• Cyber job market

7
Accounting Systems

• Accounting processes

8
Financial Management Systems

• Financial Management Systems
• Cash management
• Investment management
• Capital budgeting
• Financial planning

9
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)

10
Enterprise E-Business Systems
Enterprise
11
E-business Systems(ERP)

• Enterprise resource planning(ERP)

Production Resource Planning
Sales, Distribution, Order Management
Employees/ (Customers)
Integrated Logistics
Accounting and Finance
Human Resources
12
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

13
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
• Corporate culture

14
E-business Systems (Types of ERP)

• Types of ERP to be implemented

15
E-business Systems(ERP Cost)

• ERP cost distribution

16
E-business Systems(CRM)

• Customer relationship management(CRM)

17
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

18
E-business Systems(CRM Types)

• Types of CRM systems to be implemented

External
Chinese Enterprises
Portal/Intelligent
Collaborative
Analytical
Operational
Internal
Time
19
E-business Systems(SCM)

• Supply chain management(SCM)

Sourcing and Procurement
Transportation and Shipment Management
Order Fulfillment
Suppliers/ Customers
Distribution and Inventory Management
Logistics Management
20
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

21
E-business Systems(SCM Types)

• Types of SCM to be implemented

22
Knowledge Management

• Knowledge management Activities
• Knowledge creating/acquiring
• Knowledge presenting, storing and renewal
• Knowledge sharing and services
• Knowledge applying

23
Knowledge Management Processes)

• Knowledge management processes

24
Knowledge Management (Knowledge Categories)

• Knowledge management Categories of knowledge
• Tacit/Explicit knowledge

25
Knowledge Management (Intellectual Capitals)

• Sources of knowledge Intellectual capital
• Human capital
• Structural capital
• Customer/partner capital

26
Knowledge Management (Knowledge Creating)

• Knowledge creating/acquiring

27
Knowledge Management (Tacit Knowledge Acquisition)

• Tacit knowledge acquisition
• Knowledge engineering
• Intelligent agents
• Management measures
• Cognitive science applications
• Natural language processing

28
Knowledge Management (Explicit Knowledge
Acquisition)

• Explicit knowledge acquisition
• Data mining
• Web mining
• Text mining
• Intelligent agents

29
Knowledge Management (Knowledge Storing)

• Knowledge presenting, storing and renewal
• Knowledge modeling
• Data warehouse
• Knowledge base
• Ontology base

30
Knowledge Management (Knowledge Sharing)

• Knowledge sharing and services
• Knowledge portal
• Application Ontology
• Knowledge query and visualization

31
Knowledge Management (Knowledge Applying)

• Knowledge applications
• Decision support
• Business intelligence
• Innovation
• New business opportunities
• Enterprise adaptability

32
E-Business

• Electronic Business
• E-businessUse 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.

33
E-Commerce

• Electronic Commerce
• Describing the buying, selling, and exchanging
  products, services, and information via computer
  networks including mainly the Internet

34
E-Commerce Framework

• Applications
• Support Services
• People
• Public policy
• Marketing
• Business Support
• Business partnership

35
E-Commerce Framework

• Infrastructure and Management
• Common services
• Messaging and information distribution
• Multimedia and network publishing
• Network infrastructure
• Interfacing and integration

36
E-Commerce Framework

• Framework

37
E-Commerce Models

• E-Commerce Models -- In transactional Perspective

38
E-Commerce Models

• E-Commerce Models -- In Cyberspace/Marketplace
  Perspective
• Buyer oriented marketplace
• Seller oriented marketplace
• Infomediary oriented marketplace

39
E-Commerce Models

• Pure and Partial ECfrom Process Perspective

40
E-Commerce Business Models

• EC Revenue Models
• Sales
• Transaction fees
• Subscription fees
• Advertising fees
• Affiliate or referring fees
• Other services

41
E-Marketing and Sales

• Electronic Storefront and Malls
• Intermediaries
• Market Mechanisms
• Catalogs
• Search engines
• Shopping carts
• Intelligent agents
• Auctions

42
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

43
E-Marketing and Sales

• Economics of E-Marketplaces

44
Electronic Retailing

• E-Tailing
• Travel and Tourism
• Job Market
• Real Estate, Insurance, Stock Trading
• E-Banking
• E-Delivery
• Sales Channels

45
Electronic Retailing

• Clicks and Bricks Strategies
• Issues in E-Tailing
• Disintermediation and reintermediation
• Channel Conflicts
• Determining the right price
• Personalization

46
Online Advertisement

• Web Advertisement
• Advertising methods
• Advertising strategies
• Economics of Web advertising
• Issues of Web advertising
• Unsolicited electronic ads--spamming

47
Decision Support in Business

• Business and Decisions
• Information, decisions, and management

48
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

49
Online Analytical Processing

• Online Analytical Processing
• Consolidation
• Drill-Down
• Slicing and Dicing

50
Decision Support Systems

• Decision Support Systems
• Components

51
Decision Support Systems

• Geographic Information and Data Visualization
  Systems
• GIS
• DVS
• VRML

52
Using Decision Support Systems

• Using DSS
• What-If Analysis
• Sensitivity analysis
• Goal-Seeking analysis
• Optimization analysis

53
Executive Information Systems

• EIS Features
• To the preferences of the managers
• GUI and visualization
• Data analysis
• Easy to use

54
Artificial Intelligence Technologies in Business

• An Overview of Artificial Intelligence
• Domains of AI

55
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

56
Artificial Intelligence

• Neural Networks
• Fuzzy Logic Systems
• Genetic algorithms
• Virtual Reality
• Intelligent Agents
• Expert Systems

57
Expert Systems

• Components of an expert system
• User interface
• Inference engine
• Knowledge base
• Knowledge acquisition

58
Expert Systems

• ES components

59
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

60
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