Chapter 12 Midterm
Chapter 12
Managing Knowledge in the Digital Firm
12-1
Chapter 12 Managing Knowledge in the Digital Firm
Multiple Choice Questions 1. Expertise and experience of organizational members that has not been formally documented best describes: a. b. c. d. wisdom. information. data. tacit knowledge.
2.
Knowledge that resides in the minds of employees that has not been documented is called: a. b. c. d. tacit knowledge. organizational memory. standard operating procedures. corporate culture.
3.
The set of business processes, culture, and behavior required to obtain value from investments in information systems is one type of : a. b. c. d. knowledge culture. knowledge discovery. organizational and management capital. organizational …show more content…
a. Management information systems, decision support systems, and transaction processing systems. b. Enterprise systems, customer support systems, and supply chain management systems. c. Database management systems, expert systems, and knowledge work systems. d. Enterprise-wide knowledge management systems, knowledge work systems, and intelligent techniques.
6.
Which of the following are types of intelligent techniques? a. b. c. d. Knowledge networks Case based reasoning Computer-aided design Virtual reality
7.
Which of the following would NOT be classified as a knowledge work system? a. b. c. d. Computer-aided design 3D Visualization Investment workstations Case-based reasoning
8.
Which of the following would NOT be classified as a form of intelligent technique? a. b. c. d. Data mining Case based reasoning Neural networks Virtual reality
9.
Key features of an enterprise knowledge network include all of the following EXCEPT: a. b. c. d. knowledge exchange services. community of practice support. auto-profiling capabilities. productivity techniques.
10.
One of the largest players specializing in the development of semistructured knowledge systems is a Canadian software company known as: a. b. c. d. Hummingbird. Blue bird. Purple martin. Red robin.
Chapter …show more content…
Expert systems: a. b. c. d. solve problems too difficult for human experts. are based on DO WHILE rules. work in very limited domains. share characteristics with mainframe computing.
20.
The AI shell is: a. a strategy for searching the rule base in an expert system that begins with information entered by the user. b. the programming environment of an expert system. c. a method of organizing expert system knowledge into chunks. d. a strategy for searching the rule base in an expert system that begins with a hypothesis.
21.
An inference engine is: a. a strategy for searching the rule base in an expert system that begins with information entered by the user. b. the programming environment of an expert system. c. a method of organizing expert system knowledge into chunks. d. a strategy used to search through the rule base in an expert system in one of two ways.
22.
Hardware and software that attempts to emulate the processing patterns of the biological brain best describes: a. b. c. d. neural network. expert system. case-based reasoning. fuzzy logic.
Chapter 12
Managing Knowledge in the Digital Firm
Managing Knowledge in the Digital Firm
12-1
Chapter 12 Managing Knowledge in the Digital Firm
Multiple Choice Questions 1. Expertise and experience of organizational members that has not been formally documented best describes: a. b. c. d. wisdom. information. data. tacit knowledge.
2.
Knowledge that resides in the minds of employees that has not been documented is called: a. b. c. d. tacit knowledge. organizational memory. standard operating procedures. corporate culture.
3.
The set of business processes, culture, and behavior required to obtain value from investments in information systems is one type of : a. b. c. d. knowledge culture. knowledge discovery. organizational and management capital. organizational …show more content…
a. Management information systems, decision support systems, and transaction processing systems. b. Enterprise systems, customer support systems, and supply chain management systems. c. Database management systems, expert systems, and knowledge work systems. d. Enterprise-wide knowledge management systems, knowledge work systems, and intelligent techniques.
6.
Which of the following are types of intelligent techniques? a. b. c. d. Knowledge networks Case based reasoning Computer-aided design Virtual reality
7.
Which of the following would NOT be classified as a knowledge work system? a. b. c. d. Computer-aided design 3D Visualization Investment workstations Case-based reasoning
8.
Which of the following would NOT be classified as a form of intelligent technique? a. b. c. d. Data mining Case based reasoning Neural networks Virtual reality
9.
Key features of an enterprise knowledge network include all of the following EXCEPT: a. b. c. d. knowledge exchange services. community of practice support. auto-profiling capabilities. productivity techniques.
10.
One of the largest players specializing in the development of semistructured knowledge systems is a Canadian software company known as: a. b. c. d. Hummingbird. Blue bird. Purple martin. Red robin.
Chapter …show more content…
Expert systems: a. b. c. d. solve problems too difficult for human experts. are based on DO WHILE rules. work in very limited domains. share characteristics with mainframe computing.
20.
The AI shell is: a. a strategy for searching the rule base in an expert system that begins with information entered by the user. b. the programming environment of an expert system. c. a method of organizing expert system knowledge into chunks. d. a strategy for searching the rule base in an expert system that begins with a hypothesis.
21.
An inference engine is: a. a strategy for searching the rule base in an expert system that begins with information entered by the user. b. the programming environment of an expert system. c. a method of organizing expert system knowledge into chunks. d. a strategy used to search through the rule base in an expert system in one of two ways.
22.
Hardware and software that attempts to emulate the processing patterns of the biological brain best describes: a. b. c. d. neural network. expert system. case-based reasoning. fuzzy logic.
Chapter 12
Managing Knowledge in the Digital Firm