Chapter 11 - Multiple Choice
CAD workstations a) provide engineers, designers, and factory managers with precise control over industrial design and manufacturing b) provide an important source of expertise for organizations c) allow groups to work together on documents d) are high-end PCs used in the financial sector to analyze trading situations instantaneously and facilitate portfolio management
A
Forward chaining 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
A
Genetic algorithms a) develop solutions to particular problems using fitness, crossover, and mutation b) represent knowledge as groups of characteristics c) do not work for most problems d) are based on logic
A
Hardware and software that attempts to emulate the processing patterns of the biological brain best describes ____ a) a neural network b) an expert system c) case-based reasoning d) fuzzy logic
A
In this technique, descriptions of past experiences of human specialists are stored in a database for later retrieval when the user encounters a situation with similar characteristics a) CBR b) fuzzy logic c) data mining d) LMS
A
Informal social networks of professionals and employees within and outside the firm who have similar work-related activities and interests are called communities of ______ a) practice b) professionals c) interest d) knowledge
A
Most knowledge workers require specialized knowledge work systems, but they also rely on ____ a) office systems b) schools and universities c) imaging systems d) data transferring systems
A
Once a knowledge taxonomy is developed, documents are all _____ with the proper classification a) tagged b) linked c) tupled d) referenced
A
Software programs that work in the background without direct human intervention to carry out specific, repetitive, and predictable tasks for individual users, business processes, or software applications are called __________ a) intelligent agents b) intelligent techniques c) business intelligence d) AI hybrid systems
A
Specialized systems built for engineers, scientists, and other knowledge workers charged with discovering and creating new knowledge for a company are called ______ a) KWS b) LMS c) wikis d) CAD systems
A
Which is meant by the statement "knowledge is sticky"? a) knowledge is hard to move b) knowledge is universally applicable c) knowledge works only in certain situations d) knowledge is intangible
A
Which of the following would NOT be considered semi-structured knowledge? a) request for proposals b) voice-mail c) videos d) e-mail
A
In order, which are the value-adding steps in the knowledge business value chain? a) acquire, store, disseminate, apply, feedback b) data and information acquisition, acquire, store, disseminate, apply c) acquire, disseminate, apply, feedback, management and organizational activities d) data and information acquisition, store, disseminate, feedback, apply
B
The flow of events or transactions captured by an organization's system describes _______. a) information b) data c) wisdom d) knowledge
B
Virtually all expert systems deal with problems of a) policy development b) classification c) logic and control d) high complexity
B
What type of intelligent technique helped Procter & Gamble determine the most efficient methods for their trucks to deliver goods? a) fuzzy logic b) intelligent agents c) genetic algorithms d) none of the above
B
What type of knowledge management system did Canadian Tire implement in order to improve the communication with dealers? a) digital asset management system b) content management system c) learning management system d) knowledge network system
B
Which of the following is NOT a Web 2.0 tool firms are using to foster collaboration? a) blogs b) intranets c) wikis d) social bookmarking
B
Which of the following is NOT a typical component or capability of an enterprise-wide knowledge management system a) collaboration tools b) KWS c) document management d) LMS
B
Which of the following is a type of intelligent technique? a) knowledge networks b) case based reasoning c) computer-aided design d) VRML
B
You are advising a multimedia company on the best type of knowledge management system to help them archive digital video and sound clips. Which of the following will suit their needs? a) enterprise content management system b) digital asset management system c) knowledge network system d) VRML system
B
_____ often are designed and optimized for the specific tasks to be performed. a) graphics programs b) knowledge workstations c) virtual simulators d) CAD stations
B
Expert systems a) solve problems too difficult for human experts b) are based on DO WHILE rules c) work in very limited domains d) share characteristics with mainframe computing
C
Expert systems are expensive and time-consuming to maintain because a) their rule base is so complex b) they rely on equipment that becomes outdated c) their rules must be reprogrammed every time there is a change in the environment, which in turn may change the applicable rules d) only the person who created the system knows exactly how it works, and may not be available when changes are needed
C
Fuzzy logic is a type of _____ a) data mining b) neural network c) intelligent technique d) business intelligence
C
It is unlikely you could represent the knowledge in the Encyclopedia Britannica with an expert system because a) there is no one expert who understands all the material contained within the encyclopedia b) the knowledge changes radically over a short time c) not all the knowledge in the encyclopedia can be represented in the form of IF-THEN rules d) the knowledge is too general
C
Technology that consists of computer-based systems that attempt to emulate human behavior is called ______. a) fuzzy logic b) neural networks c) AI technology d) genetic algorithms
C
The percentage of gross domestic product of the United States that is produced by the knowledge and information sectors is estimated to be about ________ percent. a) 20 b) 40 c) 60 d) 80
C
The set of business processes, culture, and behavior required to obtain value from investments in information systems is one type of _______ a) knowledge culture b) knowledge discovery c) organizational and management capital d) organizational routine
C
Which of the following describes a difference between neural networks and genetic algorithms? a) genetic algorithms are designed to process large amounts of information b) genetic algorithms are a type of knowledge discovery, while neural networks are an intelligent technique c) neural networks are programmed to "learn" d) all of the above
C
Which of the following is NOT one of the main four dimensions of knowledge described in the chapter? a) knowledge is a firm asset b) knowledge has different forms c) knowledge has no locations d) knowledge is situational
C
Which of the following statements about the use of wikis by firms is NOT true? a) they are inexpensive and easy to implement b) users are able to modify wiki content contributed by others c) they are most appropriate for information that must be revised but does not need to be available 24/7 d) they can be used as a central repository for all types of corporate data such as spreadsheets and e-mail
C
Which of the following statements best describes the relationship between collaboration and knowledge management? a) without knowledge, collaboration is difficult b) knowledge doesn't exist without collaboration c) knowledge is useful only when shared with others d) as knowledge increases, so does collaboration
C
Which of the following systems digitizes, indexes, and tags documents according to a coherent framework? a) wikis b) CAD c) document management d) LMS
C
You are an automative engineer working on an application that will automatically parallel park a car. The intelligent technique you may find most useful is a) case-based reasoning b) artificial intelligence c) fuzzy logic d) expert system
C
A _____ is very important to a knowledge worker's system. a) careful filing system b) financial analysis system c) CAD capability d) user-friendly interface
D
An interface engine is a) a strategy for searching the rule base in case-based reasoning 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 by forward chaining or backward chaining
D
Backward chaining 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
D
Changing organizational behavior by sensing and responding to new experience and knowledge is called ______ a) change management b) knowledge networking c) the knowledge value chain d) organizational learning
D
Expertise and experience of organizational members that has not been formally documented best describes ______. a) wisdom b) information c) data d) tacit knowledge
D
Investment workstations a) provide engineers, designers, and factory managers with precise control over industrial design and manufacturing b) provide an important source of expertise for organizations c) allow groups to work together on documents d) are used in the financial sector to analyze trading situations instantaneously and facilitate portfolio management
D
To automate routine tasks to help firms search for and filter information for use in electronic commerce and supply chain management a firm would most likely use a) CAD systems b) virtual reality systems c) fuzzy logic systems d) intelligent agents
D
Tools for the management, delivery, tracking, and assessment of various types of employee learning best describes a ______ a) investment workstation b) organizational learning system c) employee enrichment system d) learning management system
D
Virtual reality systems a) provide engineers, designers, and factory managers with precise control over industrial design and manufacturing b) provide an important source of expertise for organizations c) allow groups to work together on documents d) provide architects, engineers, and medical workers with precise, photorealistic simulations of objects
D
Which of the following are the three major types of knowledge management systems? 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
D
Which of the following statements is NOT an accurate description of the importance of knowledge to a firm? a) knowledge experiences network effects as more people share it b) knowledge should be seen as an intangible key asset c) knowledge enables firms to become more efficient in their use of scarce resources d) knowledge is unconditional
D
Which of the following systems is NOT used to capture tacit knowledge? a) expert system b) case-based reasoning c) fuzzy logic d) neural network
D
Which of the following techniques is used for knowledge discovery? a) expert system b) transaction processing systems c) case-based reasoning d) data mining
D
Which of the following would NOT be classified as a knowledge work system? a) computer-aided design system b) 3D visualization system c) investment workstations d) expert system
D
Your company wants to develop intelligent techniques to create a "smart" oven that can perfectly cook basic foodstuffs, such as roasts and bread, using sensors and minimal input from the user. The system would know the difference between rare, medium rare, medium, and well done roasts. The category of intelligent technique that would describe this system is _______ a) expert system b) neural network c) care based reasoning d) fuzzy logic
D