STUDY GUIDE FOR CHAPTER 8 – Electronic Commerce

 

You should understand…

 

(1)      The different types of e-commerce (B2B, B2C, etc.)

(2)      The difference between static and dynamic web pages

(3)      How electronic payment systems are made secure

(4)      Different methods for paying for e-commerce transactions

(5)      Different types of Internet fraud

(6)      Ways to set up an e-commerce site

(7)      Terms such as: e-tailing, cybermall, web log file, electronic shopping cart, intellectual property, clickstream data, meta tag, intelligent agents

 


STUDY GUIDE FOR CHAPTERS 9-11 – TPS, MIS, DSS, AI, ES, and VR

 

You should understand…

 

(1)       The difference between batch and real-time (OLTP) processing

(2)       The transaction processing cycle

(3)       The ways of protecting transaction processing systems from disasters

(4)       The characteristics, basic activities, and business objectives common to all Transaction Processing Systems.

(5)       The characteristics that define and differentiate a TPS, MIS, DSS, AI, and ES from each other.

(6)       The different types of MIS reports (e.g. demand, scheduled, exception, etc.)

(7)       The key components of Order Processing, Purchasing, and Accounting Systems.

(8)       The advantages and disadvantages of Enterprise Resource Planning.

(9)       The stages in Decision Making and Problem Solving processes

(10)   The difference between a programmed and a non-programmed decision; a structured and an unstructured problem

(11)   The typical functions of Financial, Manufacturing, Marketing, and Human Resource Management Information Systems.

(12)   The characteristics,  components, and capabilities of a Decision Support System, Group Decision Support System, and Executive Support System

(13)   The different approaches to group decision making

(14)   Specific characteristics of intelligent behavior

(15)   The differences between human (natural) and machine (artificial) intelligence

(16)   The major branches of Artificial Intelligence

(17)   The characteristics, components, and capabilities of Expert Systems

(18)   When it makes sense to use Expert Systems

(19)   The difference between forward chaining and backward chaining

(20)   How Expert Systems are developed

(21)   Typical applications of Expert and Artificial Intelligence systems

(22)   Useful applications of Virtual Reality

(23)   Terms such as: best practices, optimization, satisficing, heuristics, sensitivity analysis, economic order quantity, reorder point, JIT, material requirements planning, GIS, what-if analysis, simulation, goal-seeking analysis, ad-hoc, decision room, perspective system, virtual reality