Information and Enterprise Systems in Today's Businesses
Edition: 3
Copyright: 2023
Pages: 494
Edition: 3
Copyright: 2021
Pages: 494
Choose Your Format
Choose Your Platform | Help Me Choose
Ebook Package
$89.99 USD
Print Package
$139.99 USD
The third edition of Information and Enterprise Systems in Today’s Businesses builds on the strengths of the second edition. Like its predecessors, the third edition assumes that most of today’s business school students will work in organizations that utilize enterprise systems (such as ERP and CRM) to support their daily operations. Hence, a MIS textbook with a strong focus on enterprise systems and their roles in supporting and integrating business processes is important. This edition also assumes that today’s businesses will continue to be buffeted by technological advancements including artificial intelligence (AI), Blockchain, the Internet of Things (IoT), 5G, and other maturing technologies that can be leveraged to improve operations or provide competitive advantage. It is also assumed that business analytics and Big Data will be increasingly used to drive business performance and exploit strategic opportunities. Accordingly, this new edition includes expanded coverage of evolving technologies, especially AI, the IoT, and business analytics.
Some additions and tweaks have been made to the ERP tutorials to ensure that students will have the opportunity to gain hands-on experience with how ERP software supports business processes. Tweaks have also been made to end-of-chapter exercises and cases to illustrate and reinforce especially important concepts.
Numerous figures and tables have been refreshed and new ones have been added to better summarize and illustrate chapter content. Several chapters have been reorganized to provide a tighter and more logical flow to the discussion of their concepts. New sections have been added to several chapters to ensure that their contents are up-to-date and accurately reflect the current state of information and enterprise systems in today’s businesses.
The ancillary materials for Information and Enterprise Systems in Today’s Businesses have also been updated and expanded. The PowerPoint slides and Test Bank have been updated to reflect the revised content of the book. The KHQ app, a mobile study app for students, has also been updated. An instructor’s manual has been added to the book’s companion website.
We are confident that the changes that have been made provide added value for both students and instructors. The third edition is a solid textbook that accurately portrays information and enterprise systems in today’s businesses and how they are evolving to accommodate technological advancements.
Chapter 1 The Competitive Landscape: The Technology-Focused World of Today’s Businesses
Chapter Objectives
Introduction
Technological Disruption of the Global Business Environment
Technology Driven Globalization
Technological Advancement
Moore’s Law
Nielsen’s Law
Bell’s Law
Metcalfe’s Law
Technological Disruption
Artificial Intelligence
Business Analytics
The Internet of Things
Robotic Process Automation
Other Disruptive Technologies
Digital Transformation
Technology’s Impact on Job Markets
The New Ethical Concerns
About This Course
Summary
Key Terms
Review Questions
References
Chapter 1 Cases
IT and Your Career
Personal Data for Sale
Case Reference
Chapter 2 Business Information Systems: Fostering Competitiveness in Today’s Business Environments
Chapter Objectives
Introduction
Systems Theory
Business Environments
Information Systems
Information
Data and Information
Information Assets vs. Physical Assets
Information Quality
Business Information Systems
BIS Components
BIS Goals and Benefits
Customized Information and Format
Access to Real-time and Archived Data
Operational Efficiencies
Improved Effectiveness
Cost Reductions
Better Customer Service
Continuous Availability
Expanded Communication Capabilities
Product Creation and Enhancement
Greater Competitiveness
Identifying and Exploiting Business Opportunities
BIS Challenges and Risks
Increasing Reliance on BISs
Failing to Strategize
BIS and Business Alignment Can Be Difficult to Maintain
Investing in IT Is Still Somewhat of a Mystery
BIS Success Relies a Wide Variety of Knowledge Areas
“Hot” IT Talent Is in High Demand and Short Supply
BIS Technologies Are Evolving at an Extremely Fast and Unpredictable Pace
Adding New Technologies to Existing BISs
BIS Terms Can Be Imprecise and Controversial
Lack of Rapport between BIS Users and Technical Staffs
No Amount of Security Is Ever Enough
Balancing Personalization, Privacy, and Ethical Data Handling
Enterprise Information Systems
EIS Components
EIS Goals and Benefits
EIS Challenges and Risks
EIS Implementation Projects Can Be Lengthy and Expensive
Change Management
Managing Relationships with Vendors and Consultants
BIS and EIS Trends
Summary
Key Terms
Review Questions
Chapter 2 Exercises
Exercise 1: Information Quality
Exercise 2: Using Data Filters on LinkedIn
Chapter 2 Appendix – The Evolution of BIS and EIS
The Evolution of BIS
EIS Evolution
BIS and EIS Evolution Review Questions
Chapter 3 Using Information Systems to Gain and Maintain Competitive Advantage
Chapter Objectives
Introduction
What is Competitive Advantage?
Creating and Sustaining Competitive Advantage
Understanding Industry Structure
Competitive Forces
Supply Chain Forces
An Example Analysis
Selecting a Competitive Strategy
Example of Competitive Strategy in the Automobile Industry
Impacts of Competitive Strategy on IS
Work Systems
Using ISs to Achieve Competitive Advantage
Creating or Improving Products
Enabling Processes
Changing the Structure of the Marketplace
New Technology Adoption Patterns
Disruptive Technologies
Artificial Intelligence
Blockchain
The Internet of Things
5G
Virtual and Augmented Reality
Summary
Key Terms
Review Questions
References
Chapter 3 Cases
POGO Air Taxi Service Case
Industry Analysis
POGO Case References
Analysis of ERPSim Market in Germany
Valdez’s Carniceria Case
Chapter 4 BIS Infrastructure and Competitive Capability
Chapter Objectives
Introduction
Business Strategy, EA, and BIS Infrastructure
Enterprise Architecture Components
Business Architecture
Data/Information Architecture
Application Architecture
Technology Architecture
Security Architecture
Importance of Strategy, Architecture, and Infrastructure Alignment
BIS Infrastructure
Telecommunications Components
Local Area Networks
Backbone Networks
Wide Area Networks
Internet Service Providers (ISPs)
The Internet
Client-Server Networks
Ecommerce Architectures
Telecommunications Trends
Hardware Components and Trends
Input Technologies
Input Technology Trends
Processing Technologies
Processing Technology Trends
Storage Technologies
Storage Technology Trends
Output Technologies
Output Technology Trends
Software Components
System Software
Application Software
COTS Software
Custom Software
Horizontal Market Software
Vertical Market Software
Open-Source Software
Mobile Apps
Virtual Desktops
Software Trends
Data Management Components
Relational Databases
Database Management Systems (DBMS)
Data Management Trends
BIS and Cloud Computing
Cloud Infrastructure
The IoT and the Cloud
BIS Security
Layered Security and Information Assurance
Risk Assessment and Continued Vigilance
BIS Infrastructure and Business Strategy
Summary
Key Terms
Review Questions
Chapter 4 Exercises & Cases
Chapter 4 Exercise 1: Blockchain Applications in Business
Case Reference
Chapter 4 Case: Electrical Component Distributors
Company Background and Strategy
The Role of the MaxService Order Entry System
Customer Benefits
Benefits to ECD
The Changing Market
Case Questions
Chapter 4 Appendix
Determinants of Computer Performance
Chapter 5 BIS Acquisition and Implementation
Chapter Objectives
Introduction
Project Management
The Formal Project Management Process
Initiate
Plan
Execute
Monitor and Control
Closure
Benefits of a Formal Project Management Process
Designing the Work System
Developing the Work System
Acquiring the Technology
Definition
Requirements Analysis
Determining How to Acquire the System
Purchase Off the Shelf and Implement “Vanilla”
Purchase Off the Shelf and Modify
Custom Development
Outsourcing
Determining the Correct Acquisition Approach
Determination Process
Step 1: Gather information
Step 2: Evaluate Acquisition Options
In-House Development
Traditional Waterfall Approach
Design
Construction
Testing
Agile Development Methods
Agile Scrum Methodology
Lean and Kanban Software Development
AI and Agile Development and Project Management
Outsourcing
Implementing Systems
Summary
Key Terms
Review Questions
References
Chapter 6 Information Systems and Business Processes
Chapter Objectives
Introduction
The Value Chain
Primary Activities
Support Activities
Competitive Strategy and Value Chains
Business Processes
Business Process Decomposition
Business Process Categories
Cross-Functional Business Processes
Structured vs. Dynamic Processes
Process-Centered Organizations
Business Process Physical, Document, Data, and Information Flows
Documenting Business Processes
Business Process Flowcharts
Business Process Model and Notation Diagrams
Flow Objects
Connecting Objects
Swimlanes
Chapter 7 Enterprise Systems and Integrated Business Processes
Chapter Objectives
Introduction
Why do Businesses Implement ESs?
ESs and Business Transformation
ES Examples
CRM Systems
SCM Systems
SRM Systems
ERP Systems
Enterprise Systems Architecture
ES Ecosystems
ERP Architecture and Infrastructure
ERP Three-Tier Architectures
ERP and Client–Server Architectures
ERP Infrastructures
ERP Instances
ERP System Landscapes
ERP and Integrated Business Processes
CRM and ERP Integration
SRM and ERP Integration
SCM and ERP Integration
ERP Product Selection and Implementation
ERP Product and Vendor Selection Process Phases
Business and Technical Considerations
ERP Product and Vendor Selection Factors and Considerations
ERP Product Technical Capabilities
ERP Product Functionalities and Ease of Use
ERP Product Costs and Return on Investment
Vendor Reputation and Financial Situation
Training and Support
ERP Implementation Project Challenges and Issues
Selecting Employees
ERP Consultants
Employee Training
Business Process Modifications
Integrating Other Systems with the ERP System
Top Management Commitment
Change Management
ERP Implementation Strategies
ES Management and Governance
Center of Excellence
Enterprise Data Management
Master Data Management
Summary
Key Terms
Review Questions
Chapter 7 Exercises
Exercise 1: Nestle Case Study
Chapter 8 ERP and Procurement
Chapter Objectives
Introduction
What is Procurement?
Strategic and Operational Procurement
Strategic Procurement
Direct, Indirect, and Capital Goods and Services Procurement
Procurement Process Goals and Measures
Strategic Goals
Operational Procurement Goals
Key Performance Indicators
Procurement Process Actors
Procurement Process Physical, Document, Data, and Information Flow
Factors/Issues that Complicate the Procurement Process
Supply Chain Scope
Legal Issues
Backorders
Returns Processes
Payment Terms
Procurement Process Automation
E-Procurement
Electronic Data Interchange
Online Marketplaces
Vendor-Managed Inventory
Enterprise Systems
AI, Procurement, and SCM
Procurement Process and ERP Systems
Summary
Key Terms
Review Questions
Chapter 9 ERP and Order Fulfillment
Chapter Objectives
Introduction
Sales and Distribution Process Overview
Fulfillment Strategies
Fulfillment Process Goals and Measures
Fulfillment Process Actors
Fulfillment Process Document and Data Flow
Backorders and Returns
Fulfillment Process Physical Flow
Fulfillment Process Instance and Process-Level Information
Additional Fulfillment Process Documents
Fulfillment Process Automation
CRM Systems
Electronic Data Interchange
Warehouse Automation Systems
ERP Systems
The Fulfillment Process and SAP ERP Systems
Summary
Key Terms
Review Questions
Chapter 10 ERP and the Production Process
Chapter Objectives
Introduction
Production/Manufacturing Strategies
Manufacturing Strategies
Production Process Goals and Measures
Production Execution Measures
Production Quality Measures
Production Process Actors
Production Process Document, Data, and Information Flow
Data Flow
Physical Flow
Instance- and Process-Level Information
Integration with Other Processes
Manufacturing/Production Process Automation
Material Requirements Planning
Manufacturing Resource Planning (MRP II)
ERP Systems
Warehouse Management Systems
Industry 4.0 Technologies
Robotics
Additive Manufacturing
Industrial IoT
Manufacturing and AI
Manufacturing/Production and ERP Systems
Summary
Key Terms
Review Questions
Chapter 11 Business and the Web: e-Commerce, e-Business, and Digital Business
Chapter Objectives
Introduction
Information Economics
Reach and Richness
E-Commerce
Types of e-Commerce
Web 1.0 Business Models
Direct-to-Consumer (D2C)
Full-Service Provider
Whole of the Enterprise
Navigators, Aggregators, and Portals
Virtual Community
Content Provider
Hybrid Models
E-Business
Search Engine Optimization
Digital Marketing
Search Engine Marketing (SEM)
Email Marketing
Web 2.0 and Social Media
Web 2.0 Content Features
Web 2.0 Applications
Business and Social Media
Social Capital
LinkedIn
Social Media Policy and Ethics
Crowdsourcing
Collaboration
Virtual Business Teams
Collaboration Technologies
Media Richness
Other E-Business Technologies
Digital Business
Social Commerce
Content Commerce
Summary
Key Terms
Review Questions
References
Chapter 11 Exercises
Building a Business Network on LinkedIn
Google Docs Collaboration Exercise
Collaborating About Virtual Teams and Collaboration
Chapter 12 Business Analytics, Business Intelligence, and Ethical Data Use
Chapter Objectives
Introduction
Business Intelligence? Business Analytics?
What’s in a Name?
Data Governance
The Business Intelligence Process
Business Understanding
Data Understanding
Data Sources
Data Quality
Data Preparation
Data Extraction
Data Cleansing
Data Transformation
Modeling
Descriptive Analytics
Online Analytical Processing (OLAP)
RFM Analysis
Web Analytics
Predictive Analytics
Regression Analysis
Time Series Analysis
Cluster Analysis
Market Basket Analysis
Decision Trees
Machine Learning
Prescriptive Analytics
Linear Programming
Other Tools Used for Predictive Analytics
Data Presentation and Visualization
Evaluation
Deployment
Big Data
NoSQL Databases
MapReduce
Hadoop
SAP HANA®
BI and Big Data Ethical Issues
Privacy
Ethical Principles for BI and Big Data
Summary
Key Terms
Review Questions
References
Chapter 12 Exercises
Exercise 1: Selecting Analytic Techniques for Business Scenarios
Exercise 2: RFM in Excel Tutorial
Chapter 12 Appendix: Relational Databases
Logical Data Models and Queries
Review Questions
Thomas Case is Emeritus Professor of Information Systems of the Parker College of Business at Georgia Southern University. His teaching and research include business data communications, enterprise systems, information systems education, and digital disruption. Professionally, he was instrumental in founding AIS SIGED and the SAIS chapter of AIS. He was Conference Co-Chair for AMCIS 2015 and served as an Associate Editor for Communications of the Association for Information Systems (CAIS) for 10 years and on the editorial boards of several IS journals; he has authored six textbooks. Tom is a recipient of the university’s Excellence in Contributions to Instruction Award and as well as its Excellence in Service Award.
Dr. Michael Cuellar is Professor of Information Systems and Analytics at Georgia Southern University. He obtained his Ph.D. in Computer Information Systems from Georgia State University in 2009. His research focuses on project management, including project success and failure, as well as philosophy and ethics for Information Systems, and Information Systems adoption and use. Before his academic career, Dr. Cuellar spent 25 years in practice with companies such as EDS, CSC, Lockheed Space Operations, and American Software. He has worked in IS in Federal, State, and Local Government, Manufacturing, and the High Technology industries. He has published in the European Journal of Information Systems, Journal of the Association for Information Systems, the European Journal of Operational Research, and other journals and conferences in the Information Systems field.
The third edition of Information and Enterprise Systems in Today’s Businesses builds on the strengths of the second edition. Like its predecessors, the third edition assumes that most of today’s business school students will work in organizations that utilize enterprise systems (such as ERP and CRM) to support their daily operations. Hence, a MIS textbook with a strong focus on enterprise systems and their roles in supporting and integrating business processes is important. This edition also assumes that today’s businesses will continue to be buffeted by technological advancements including artificial intelligence (AI), Blockchain, the Internet of Things (IoT), 5G, and other maturing technologies that can be leveraged to improve operations or provide competitive advantage. It is also assumed that business analytics and Big Data will be increasingly used to drive business performance and exploit strategic opportunities. Accordingly, this new edition includes expanded coverage of evolving technologies, especially AI, the IoT, and business analytics.
Some additions and tweaks have been made to the ERP tutorials to ensure that students will have the opportunity to gain hands-on experience with how ERP software supports business processes. Tweaks have also been made to end-of-chapter exercises and cases to illustrate and reinforce especially important concepts.
Numerous figures and tables have been refreshed and new ones have been added to better summarize and illustrate chapter content. Several chapters have been reorganized to provide a tighter and more logical flow to the discussion of their concepts. New sections have been added to several chapters to ensure that their contents are up-to-date and accurately reflect the current state of information and enterprise systems in today’s businesses.
The ancillary materials for Information and Enterprise Systems in Today’s Businesses have also been updated and expanded. The PowerPoint slides and Test Bank have been updated to reflect the revised content of the book. The KHQ app, a mobile study app for students, has also been updated. An instructor’s manual has been added to the book’s companion website.
We are confident that the changes that have been made provide added value for both students and instructors. The third edition is a solid textbook that accurately portrays information and enterprise systems in today’s businesses and how they are evolving to accommodate technological advancements.
Chapter 1 The Competitive Landscape: The Technology-Focused World of Today’s Businesses
Chapter Objectives
Introduction
Technological Disruption of the Global Business Environment
Technology Driven Globalization
Technological Advancement
Moore’s Law
Nielsen’s Law
Bell’s Law
Metcalfe’s Law
Technological Disruption
Artificial Intelligence
Business Analytics
The Internet of Things
Robotic Process Automation
Other Disruptive Technologies
Digital Transformation
Technology’s Impact on Job Markets
The New Ethical Concerns
About This Course
Summary
Key Terms
Review Questions
References
Chapter 1 Cases
IT and Your Career
Personal Data for Sale
Case Reference
Chapter 2 Business Information Systems: Fostering Competitiveness in Today’s Business Environments
Chapter Objectives
Introduction
Systems Theory
Business Environments
Information Systems
Information
Data and Information
Information Assets vs. Physical Assets
Information Quality
Business Information Systems
BIS Components
BIS Goals and Benefits
Customized Information and Format
Access to Real-time and Archived Data
Operational Efficiencies
Improved Effectiveness
Cost Reductions
Better Customer Service
Continuous Availability
Expanded Communication Capabilities
Product Creation and Enhancement
Greater Competitiveness
Identifying and Exploiting Business Opportunities
BIS Challenges and Risks
Increasing Reliance on BISs
Failing to Strategize
BIS and Business Alignment Can Be Difficult to Maintain
Investing in IT Is Still Somewhat of a Mystery
BIS Success Relies a Wide Variety of Knowledge Areas
“Hot” IT Talent Is in High Demand and Short Supply
BIS Technologies Are Evolving at an Extremely Fast and Unpredictable Pace
Adding New Technologies to Existing BISs
BIS Terms Can Be Imprecise and Controversial
Lack of Rapport between BIS Users and Technical Staffs
No Amount of Security Is Ever Enough
Balancing Personalization, Privacy, and Ethical Data Handling
Enterprise Information Systems
EIS Components
EIS Goals and Benefits
EIS Challenges and Risks
EIS Implementation Projects Can Be Lengthy and Expensive
Change Management
Managing Relationships with Vendors and Consultants
BIS and EIS Trends
Summary
Key Terms
Review Questions
Chapter 2 Exercises
Exercise 1: Information Quality
Exercise 2: Using Data Filters on LinkedIn
Chapter 2 Appendix – The Evolution of BIS and EIS
The Evolution of BIS
EIS Evolution
BIS and EIS Evolution Review Questions
Chapter 3 Using Information Systems to Gain and Maintain Competitive Advantage
Chapter Objectives
Introduction
What is Competitive Advantage?
Creating and Sustaining Competitive Advantage
Understanding Industry Structure
Competitive Forces
Supply Chain Forces
An Example Analysis
Selecting a Competitive Strategy
Example of Competitive Strategy in the Automobile Industry
Impacts of Competitive Strategy on IS
Work Systems
Using ISs to Achieve Competitive Advantage
Creating or Improving Products
Enabling Processes
Changing the Structure of the Marketplace
New Technology Adoption Patterns
Disruptive Technologies
Artificial Intelligence
Blockchain
The Internet of Things
5G
Virtual and Augmented Reality
Summary
Key Terms
Review Questions
References
Chapter 3 Cases
POGO Air Taxi Service Case
Industry Analysis
POGO Case References
Analysis of ERPSim Market in Germany
Valdez’s Carniceria Case
Chapter 4 BIS Infrastructure and Competitive Capability
Chapter Objectives
Introduction
Business Strategy, EA, and BIS Infrastructure
Enterprise Architecture Components
Business Architecture
Data/Information Architecture
Application Architecture
Technology Architecture
Security Architecture
Importance of Strategy, Architecture, and Infrastructure Alignment
BIS Infrastructure
Telecommunications Components
Local Area Networks
Backbone Networks
Wide Area Networks
Internet Service Providers (ISPs)
The Internet
Client-Server Networks
Ecommerce Architectures
Telecommunications Trends
Hardware Components and Trends
Input Technologies
Input Technology Trends
Processing Technologies
Processing Technology Trends
Storage Technologies
Storage Technology Trends
Output Technologies
Output Technology Trends
Software Components
System Software
Application Software
COTS Software
Custom Software
Horizontal Market Software
Vertical Market Software
Open-Source Software
Mobile Apps
Virtual Desktops
Software Trends
Data Management Components
Relational Databases
Database Management Systems (DBMS)
Data Management Trends
BIS and Cloud Computing
Cloud Infrastructure
The IoT and the Cloud
BIS Security
Layered Security and Information Assurance
Risk Assessment and Continued Vigilance
BIS Infrastructure and Business Strategy
Summary
Key Terms
Review Questions
Chapter 4 Exercises & Cases
Chapter 4 Exercise 1: Blockchain Applications in Business
Case Reference
Chapter 4 Case: Electrical Component Distributors
Company Background and Strategy
The Role of the MaxService Order Entry System
Customer Benefits
Benefits to ECD
The Changing Market
Case Questions
Chapter 4 Appendix
Determinants of Computer Performance
Chapter 5 BIS Acquisition and Implementation
Chapter Objectives
Introduction
Project Management
The Formal Project Management Process
Initiate
Plan
Execute
Monitor and Control
Closure
Benefits of a Formal Project Management Process
Designing the Work System
Developing the Work System
Acquiring the Technology
Definition
Requirements Analysis
Determining How to Acquire the System
Purchase Off the Shelf and Implement “Vanilla”
Purchase Off the Shelf and Modify
Custom Development
Outsourcing
Determining the Correct Acquisition Approach
Determination Process
Step 1: Gather information
Step 2: Evaluate Acquisition Options
In-House Development
Traditional Waterfall Approach
Design
Construction
Testing
Agile Development Methods
Agile Scrum Methodology
Lean and Kanban Software Development
AI and Agile Development and Project Management
Outsourcing
Implementing Systems
Summary
Key Terms
Review Questions
References
Chapter 6 Information Systems and Business Processes
Chapter Objectives
Introduction
The Value Chain
Primary Activities
Support Activities
Competitive Strategy and Value Chains
Business Processes
Business Process Decomposition
Business Process Categories
Cross-Functional Business Processes
Structured vs. Dynamic Processes
Process-Centered Organizations
Business Process Physical, Document, Data, and Information Flows
Documenting Business Processes
Business Process Flowcharts
Business Process Model and Notation Diagrams
Flow Objects
Connecting Objects
Swimlanes
Chapter 7 Enterprise Systems and Integrated Business Processes
Chapter Objectives
Introduction
Why do Businesses Implement ESs?
ESs and Business Transformation
ES Examples
CRM Systems
SCM Systems
SRM Systems
ERP Systems
Enterprise Systems Architecture
ES Ecosystems
ERP Architecture and Infrastructure
ERP Three-Tier Architectures
ERP and Client–Server Architectures
ERP Infrastructures
ERP Instances
ERP System Landscapes
ERP and Integrated Business Processes
CRM and ERP Integration
SRM and ERP Integration
SCM and ERP Integration
ERP Product Selection and Implementation
ERP Product and Vendor Selection Process Phases
Business and Technical Considerations
ERP Product and Vendor Selection Factors and Considerations
ERP Product Technical Capabilities
ERP Product Functionalities and Ease of Use
ERP Product Costs and Return on Investment
Vendor Reputation and Financial Situation
Training and Support
ERP Implementation Project Challenges and Issues
Selecting Employees
ERP Consultants
Employee Training
Business Process Modifications
Integrating Other Systems with the ERP System
Top Management Commitment
Change Management
ERP Implementation Strategies
ES Management and Governance
Center of Excellence
Enterprise Data Management
Master Data Management
Summary
Key Terms
Review Questions
Chapter 7 Exercises
Exercise 1: Nestle Case Study
Chapter 8 ERP and Procurement
Chapter Objectives
Introduction
What is Procurement?
Strategic and Operational Procurement
Strategic Procurement
Direct, Indirect, and Capital Goods and Services Procurement
Procurement Process Goals and Measures
Strategic Goals
Operational Procurement Goals
Key Performance Indicators
Procurement Process Actors
Procurement Process Physical, Document, Data, and Information Flow
Factors/Issues that Complicate the Procurement Process
Supply Chain Scope
Legal Issues
Backorders
Returns Processes
Payment Terms
Procurement Process Automation
E-Procurement
Electronic Data Interchange
Online Marketplaces
Vendor-Managed Inventory
Enterprise Systems
AI, Procurement, and SCM
Procurement Process and ERP Systems
Summary
Key Terms
Review Questions
Chapter 9 ERP and Order Fulfillment
Chapter Objectives
Introduction
Sales and Distribution Process Overview
Fulfillment Strategies
Fulfillment Process Goals and Measures
Fulfillment Process Actors
Fulfillment Process Document and Data Flow
Backorders and Returns
Fulfillment Process Physical Flow
Fulfillment Process Instance and Process-Level Information
Additional Fulfillment Process Documents
Fulfillment Process Automation
CRM Systems
Electronic Data Interchange
Warehouse Automation Systems
ERP Systems
The Fulfillment Process and SAP ERP Systems
Summary
Key Terms
Review Questions
Chapter 10 ERP and the Production Process
Chapter Objectives
Introduction
Production/Manufacturing Strategies
Manufacturing Strategies
Production Process Goals and Measures
Production Execution Measures
Production Quality Measures
Production Process Actors
Production Process Document, Data, and Information Flow
Data Flow
Physical Flow
Instance- and Process-Level Information
Integration with Other Processes
Manufacturing/Production Process Automation
Material Requirements Planning
Manufacturing Resource Planning (MRP II)
ERP Systems
Warehouse Management Systems
Industry 4.0 Technologies
Robotics
Additive Manufacturing
Industrial IoT
Manufacturing and AI
Manufacturing/Production and ERP Systems
Summary
Key Terms
Review Questions
Chapter 11 Business and the Web: e-Commerce, e-Business, and Digital Business
Chapter Objectives
Introduction
Information Economics
Reach and Richness
E-Commerce
Types of e-Commerce
Web 1.0 Business Models
Direct-to-Consumer (D2C)
Full-Service Provider
Whole of the Enterprise
Navigators, Aggregators, and Portals
Virtual Community
Content Provider
Hybrid Models
E-Business
Search Engine Optimization
Digital Marketing
Search Engine Marketing (SEM)
Email Marketing
Web 2.0 and Social Media
Web 2.0 Content Features
Web 2.0 Applications
Business and Social Media
Social Capital
LinkedIn
Social Media Policy and Ethics
Crowdsourcing
Collaboration
Virtual Business Teams
Collaboration Technologies
Media Richness
Other E-Business Technologies
Digital Business
Social Commerce
Content Commerce
Summary
Key Terms
Review Questions
References
Chapter 11 Exercises
Building a Business Network on LinkedIn
Google Docs Collaboration Exercise
Collaborating About Virtual Teams and Collaboration
Chapter 12 Business Analytics, Business Intelligence, and Ethical Data Use
Chapter Objectives
Introduction
Business Intelligence? Business Analytics?
What’s in a Name?
Data Governance
The Business Intelligence Process
Business Understanding
Data Understanding
Data Sources
Data Quality
Data Preparation
Data Extraction
Data Cleansing
Data Transformation
Modeling
Descriptive Analytics
Online Analytical Processing (OLAP)
RFM Analysis
Web Analytics
Predictive Analytics
Regression Analysis
Time Series Analysis
Cluster Analysis
Market Basket Analysis
Decision Trees
Machine Learning
Prescriptive Analytics
Linear Programming
Other Tools Used for Predictive Analytics
Data Presentation and Visualization
Evaluation
Deployment
Big Data
NoSQL Databases
MapReduce
Hadoop
SAP HANA®
BI and Big Data Ethical Issues
Privacy
Ethical Principles for BI and Big Data
Summary
Key Terms
Review Questions
References
Chapter 12 Exercises
Exercise 1: Selecting Analytic Techniques for Business Scenarios
Exercise 2: RFM in Excel Tutorial
Chapter 12 Appendix: Relational Databases
Logical Data Models and Queries
Review Questions
Thomas Case is Emeritus Professor of Information Systems of the Parker College of Business at Georgia Southern University. His teaching and research include business data communications, enterprise systems, information systems education, and digital disruption. Professionally, he was instrumental in founding AIS SIGED and the SAIS chapter of AIS. He was Conference Co-Chair for AMCIS 2015 and served as an Associate Editor for Communications of the Association for Information Systems (CAIS) for 10 years and on the editorial boards of several IS journals; he has authored six textbooks. Tom is a recipient of the university’s Excellence in Contributions to Instruction Award and as well as its Excellence in Service Award.
Dr. Michael Cuellar is Professor of Information Systems and Analytics at Georgia Southern University. He obtained his Ph.D. in Computer Information Systems from Georgia State University in 2009. His research focuses on project management, including project success and failure, as well as philosophy and ethics for Information Systems, and Information Systems adoption and use. Before his academic career, Dr. Cuellar spent 25 years in practice with companies such as EDS, CSC, Lockheed Space Operations, and American Software. He has worked in IS in Federal, State, and Local Government, Manufacturing, and the High Technology industries. He has published in the European Journal of Information Systems, Journal of the Association for Information Systems, the European Journal of Operational Research, and other journals and conferences in the Information Systems field.