INF1505
Introduction to Business Information Systems

MIS

(11th edition)

by Hossein Bidgoli

1. Information Systems in Business

1.1. Computers and Information Systems in Daily Life

1.2. Computer Literacy and Information Literacy

1.3. The Beginning: Transaction-Processing Systems

1.4. Management Information Systems

1.5. Major Components of an Information System

1.5.5b. Database

1.5.5c. Process

1.5.5d. Information

1.5.5e. Examples of Information Systems

1.6. Strategic Information Systems

1.7. Using Information Systems and Information Technologies

1.7.7a. The Importance of Information Systems

1.7.7b. Using Information Technologies for a Competitive Advantage

1.7.7c. Porter's Five Forces Model: Understanding the Business Environment

1.8. The IT Job Market

1.8.8a. CTO/CIO

1.8.8b. Manager of Information Systems Services

1.8.8c. Systems Analyst

1.8.8d. Network Administrator

1.8.8e. Database Administrator

1.8.8f. Computer Programmer

1.8.8g. Webmaster

1.9. Outlook for the Future

2. Computers and Their Business Applications

2.1. Defining a Computer

2.1.1a. Components of a Computer System

2.2. The History of Computer Hardware and Software

2.3. The Power of Computers

2.3.3b. Accuracy

2.3.3c. Storage and Retrieval

2.4. Computer Operations

2.5. Input, Output, and Memory Devices

2.5.5a. Input Devices

2.5.5b. Output Devices

2.5.5c. Memory Devices

2.6. Classes of Computers

2.6.6a. Server Platforms: An Overview

2.7. What Is Software?

2.7.7a. Operating System Software

2.7.7b. Application Software

2.8. Computer Languages

2.9. Object-Oriented Programming: A Quick Overview

3. Data and Business Intelligence

3.1.1a. Types of Data in a Database

3.1.1b. Methods for Accessing Files

3.2. Logical Database Design

3.2.2a. The Relational Model

3.3. Components of a DBMS

3.3.3a. Database Engine

3.3.3b. Data Definition

3.3.3c. Data Manipulation

3.3.3d. Application Generation

3.3.3e. Data Administration

3.4. Recent Trends in Database Design and Use

3.4.4a. Data-Driven Web Sites

3.4.4b. Distributed Databases

3.4.4c. Object-Oriented Databases

3.5. Data Warehouses

3.5.5c. Storage

3.6. Data Marts

3.7. Data Lakes

3.8. Business Analytics

3.9. The Big Data Era

3.9.9a. Who Benefits from Big Data?

3.9.9b. Tools and Technologies of Big Data

3.9.9c. Big Data Privacy Risks

3.9.9d. Integration of IoT with Big Data Analytics

3.10. Database Marketing

3.11. Tableau and Power BI: Two Popular BI and Visualization Platforms

3.11.11a. What Is Tableau?

3.11.11b. What Is Power BI?

4. Personal, Legal, Ethical, and Organizational Issues

4.1. Privacy Issues

4.1.1a. General Data Protection Regulation (GDPR)

4.1.1c. Data Collection on the Web

4.2. Ethical Issues of Information Technologies

4.2.2a. Computer Network Ethics

4.2.2b. Censorship

4.2.2c. Intellectual Property

4.2.2d. Social Divisions and the Digital Divide

4.3. The Impact of Information Technology in the Workplace

4.3.3a. Information Technology and Health Issues

4.4. Green Computing

5. Protecting Information Resources

5.1. Risks Associated with Information Technologies

5.1.1a. The Costs of Cybercrime to the Global Economy

5.1.1b. Spyware and Adware

5.1.1c. Phishing, Pharming, Baiting, Quid Pro Quo, SMiShing, and Vishing

5.1.1d. Keystroke Loggers

5.1.1e. Sniffing and Spoofing

5.1.1f. Computer Crime and Fraud

5.2. Computer, Network, and Cyber Security: Basic Safeguards

5.3. Security Threats: An Overview

5.3.3a. Intentional Threats

5.4. Security Measures and Enforcement: An Overview

5.4.4a. Biometric Security Measures

5.4.4b. Nonbiometric Security Measures

5.4.4c. Physical Security Measures

5.4.4d. Access Controls

5.4.4e. Virtual Private Networks

5.4.4f. Data Encryption

5.4.4g. E-Commerce Transaction Security Measures

5.4.4h. Computer Emergency Response Team

5.4.4i. Zero Trust Security

5.5. Guidelines for a Comprehensive Security System

5.5.5a. Business Continuity Planning

6. Data Communication: Delivering Information Anywhere and Anytime

6.1. Defining Data Communication

6.1.1a. Why Managers Need to Know about Data Communication

6.2. Basic Components of a Data Communication System

6.2.2a. Sender and Receiver Devices

6.2.2c. Communication Media

6.3. Processing Configurations

6.3.3a. Centralized Processing

6.3.3b. Decentralized Processing

6.3.3c. Distributed Processing

6.3.3d. Open Systems Interconnection Model

6.4. Types of Networks

6.4.4a. Local Area Networks

6.4.4b. Wide Area Networks

6.4.4c. Metropolitan Area Networks

6.5. Network Topologies

6.5.5a. Star Topology

6.5.5b. Ring Topology

6.5.5c. Bus Topology

6.5.5d. Hierarchical Topology

6.5.5e. Mesh Topology

6.6. Major Networking Concepts

6.6.6a. Protocols

6.6.6b. Transmission Control Protocol/Internet Protocol

6.6.6c. Routing

6.6.6d. Routers

6.6.6e. Client/Server Model

6.7. Wireless and Mobile Networks

6.7.7a. Wireless Technologies

6.7.7d. Bluetooth

6.7.7e. Mobile Networks

6.8. Wireless Security

6.9. Convergence of Voice, Video, and Data

7. A Connected World

7.1. The Internet

7.1.1a. The Domain Name System

7.1.1b. Types of Internet Connections

7.2. Navigational Tools, Search Engines, and Directories

7.2.2a. Navigational Tools

7.2.2b. Search Engines and Directories

7.3. Internet Services

7.3.3b. Newsgroups and Discussion Groups

7.3.3c. Instant Messaging

7.3.3d. Internet Telephony

7.4. Web Applications

7.4.4a. Tourism and Travel

7.4.4b. Publishing

7.4.4c. Higher Education

7.4.4d. Real Estate

7.4.4e. Employment

7.4.4f. Financial Institutions

7.4.4g. Software Distribution

7.4.4h. Healthcare

7.4.4i. Politics

7.5.5a. The Internet versus Intranets

7.5.5b. Applications of an Intranet

7.7. Web Trends

7.7.7c. Social Networking Sites

7.7.7d. Business Applications of Social Networks

7.7.7e. RSS Feeds

7.7.7f. Podcasting

7.8. The Internet of Everything and Beyond

8.1. Defining E-Commerce

8.1.1a. The Value Chain and E-Commerce

8.1.1b. E-Commerce versus Traditional Commerce

8.1.1c. Advantages and Disadvantages of E-Commerce

8.1.1d. E-Commerce Business Models

8.2. Major Categories of E-Commerce

8.2.2a. Business-to-Consumer E-Commerce

8.2.2b. Business-to-Business E-Commerce

8.2.2c. Consumer-to-Consumer E-Commerce

8.2.2d. Consumer-to-Business E-Commerce

8.2.2e. Government and Nonbusiness E-Commerce

8.2.2f. Organizational or Intrabusiness E-Commerce

8.3. B2C E-Commerce Cycle

8.3.3a. B2C E-Commerce Evolution: Multichannel, Cross-Channel, and Omnichannel

8.4. B2B E-Commerce: A Second Look

8.4.4a. Major Models of B2B E-Commerce

8.5. Mobile and Voice-Based E-Commerce

8.6. E-Commerce Supporting Technologies

8.6.6a. Electronic Payment Systems

8.6.6b. Digital Marketing

8.6.6c. Mobile Marketing

8.6.6d. Search Engine Optimization

8.7. E-Commerce and Beyond: Social Commerce

8.8. Hypersocial Organizations

8.9. Social Media Information Systems

9. Global Information Systems

9.1. Why Go Global?

9.1.1a. E-Business: A Driving Force

9.1.1b. Growth of the Internet

9.1.1c. The Rise of Non-English Speakers on the Internet

9.1.1d. Mobile Computing and Globalization

9.2. Global Information Systems: An Overview

9.2.2a. Components of a Global Information System

9.2.2b. Requirements of Global Information Systems

9.2.2c. Implementation of Global Information Systems

9.3. Organizational Structures and Global Information Systems

9.3.3a. Multinational Structure

9.3.3b. Global Structure

9.3.3c. International Structure

9.3.3d. Transnational Structure

9.3.3e. Global Information Systems Supporting Offshore Outsourcing

9.4. Obstacles to Using Global Information Systems

9.4.4a. Lack of Standardization

9.4.4b. Cultural Differences

9.4.4c. Diverse Regulatory Practices

9.4.4d. Poor Telecommunication Infrastructures

9.4.4e. Lack of Skilled Analysts and Programmers

10. Building Successful Information Systems

10.1. Systems Development Life Cycle: An Overview

10.2. Phase 1: Planning

10.2.2a. Formation of the Task Force

10.2.2b. Feasibility Study

10.3. Phase 2: Requirements Gathering and Analysis

10.4. Phase 3: Design

10.4.4a. Computer-Aided Systems Engineering

10.4.4b. Prototyping

10.5. Phase 4: Implementation

10.5.5a. IT Project Management

10.5.5b. Request for Proposal

10.5.5c. Implementation Alternatives

10.6. Phase 5: Maintenance

10.7. New Trends in Systems Analysis and Design

10.7.7a. Service-Oriented Architecture

10.7.7b. Rapid Application Development

10.7.7c. Extreme Programming

10.7.7d. Agile Methodology

10.7.7e. Low-Code and No-Code Development

11. Enterprise Systems

11.1. Supply Chain Management

11.1.1a. SCM Technologies

11.1.1b. Global Supply Chain Management

11.2. Customer Relationship Management

11.2.2a. CRM Applications

11.2.2b. Personalization Technology

11.3. Knowledge Management

11.4. Enterprise Resource Planning

11.5. Cloud-Based Enterprise Systems

12. Supporting Decisions and Processes

12.1. Types of Decisions in an Organization

12.1.1a. Phases of the Decision-Making Process

12.2. Decision Support Systems

12.2.2a. Components of a Decision Support System

12.2.2b. DSS Capabilities

12.2.2c. Roles in the DSS Environment

12.2.2d. Costs and Benefits of Decision Support Systems

12.3. Executive Information Systems

12.3.3a. Reasons for Using EISs

12.3.3b. Avoiding Failure in Design and Use of EISs

12.4. Geographic Information Systems

12.4.4a. GIS Applications

12.5. Collaboration Systems

12.5.5a. Types of Collaboration Software

12.5.5b. Which Collaboration Software Is Right for You?

12.6. Guidelines for Designing a Management Support System

13. Artificial Intelligence and Automation

13.1. What Is Artificial Intelligence?

13.1.1a. AI Technologies Supporting Decision Making

13.1.1b. Robotics

13.2. Expert Systems

13.2.2a. Components of an Expert System

13.2.2b. Uses of Expert Systems

13.2.2c. Criteria for Using Expert Systems

13.2.2d. Criteria for Not Using Expert Systems

13.2.2e. Advantages of Expert Systems

13.3. Case-Based Reasoning

13.4. Intelligent Agents

13.4.4a. Shopping and Information Agents

13.4.4b. Personal Agents

13.4.4c. Data-Mining Agents

13.4.4d. Monitoring and Surveillance Agents

13.5. Fuzzy Logic

13.5.5a. Uses of Fuzzy Logic

13.6. Machine Learning

13.7. Genetic Algorithms

13.8. Natural-Language Processing

13.9. Integrating AI Technologies Into Decision Support Systems

13.10. Contextual Computing: Making Mobile Devices Smarter

13.11. AI and Automation

13.12. Ethical Issues of AI

14. Emerging Trends, Technologies, and Applications

14.1. Trends in Software and Service Distribution

14.1.1a. Pull and Push Technologies

14.1.1b. Application Service Providers

14.2. Virtual Reality

14.2.2a. Types of Virtual Environments

14.2.2b. Components of a Virtual Reality System

14.2.2d. Virtual Reality Applications

14.2.2e. Obstacles in Using VR Systems

14.2.2f. Virtual Worlds

14.2.2g. Augmented Reality

14.2.2h. Mixed Reality

14.3. Non-Fungible Tokens

14.4. The Metaverse: Definition, Foundation, and Applications

14.5. Cloud Computing: Foundation, Applications, and Models

14.5.5a. Grid Computing

14.5.5b. Utility (On-Demand) Computing

14.5.5c. Cloud Computing

14.5.5d. Cloud Computing Components

14.5.5e. Cloud Computing Alternatives

14.5.5f. Edge Computing

14.5.5g. Cloud Computing Security

14.6. Nanotechnology

14.7. Blockchain Technology and Cryptocurrency

14.8. Quantum Computing

14.8.8a. Popular Applications of Quantum Computing