Which of the following is the last step in the knowledge management value chain? |
E |
About ________ percent of the United States GDP is produced by the knowledge and information sectors. |
C |
Which of the following statements best describes the relationship between collaboration and knowledge management? |
C |
The text defines ________ as the flow of events or transactions captured by an organization's system. |
B |
The text defines ________ as expertise of organizational members that has not been formally documented. |
E |
Which of the following statements is not an accurate description of the importance of knowledge to a firm? |
D |
What is meant by the statement "knowledge is sticky"? |
D |
Which of the following is not one of the main four dimensions of knowledge described in the chapter? |
A |
Changing organizational behavior by sensing and responding to new experience and knowledge is called: |
D |
What is the first value-adding step in the knowledge business value chain? |
B |
The set of business processes, culture, and behavior required to obtain value from investments in information systems is one type of: |
C |
Which of the following are the three major types of knowledge management systems? |
E |
Specialized systems built for knowledge workers charged with discovering and creating new knowledge for a company are called: |
A |
Which of the following does not describe the dimensions of knowledge in a firm? |
C |
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 |
All of the following are intangible assets of a firm except its: |
D |
While systems such as KWS can manage semistructured and unstructured information, enterprise-wide content management systems are designed to manage a firm's structured information. |
B |
Knowledge is "sticky" and not easily moved. |
A |
For a firm, organizational resources are unnecessary to transform data into knowledge. |
B |
Epertise is thought to be the collective and individual experience of applying knowledge to the solution of problems. |
B |
Document management systems are essentially large databases. |
A |
________ knowledge exists in formal documents, as well as in formal rules that organizations derive by observing experts and their decision-making behaviors. |
E |
Which of the following types of system enables organizations to digitize, index, and tag documents according to a coherent framework? |
C |
All of the following are typical components or capabilities of an ECM system except: |
E |
Which of the following would not be considered semistructured knowledge? |
A |
In content management, once a taxonomy is developed, documents must then be ________ with the proper classification. |
A |
You are advising a video production 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? |
B |
A MOOC is: |
A |
Which of the following is a tool for the management, delivery, tracking, and assessment of various types of employee learning? |
D |
A(n) ________ is a scheme for classifying information and knowledge in such a way that it can be easily accessed. |
E |
Both structured and unstructured documents can contain knowledge. |
A |
Structured knowledge is explicit knowledge that exists in formal documents and formal rules. |
A |
Semistructured information is all the knowledge in a firm that resides in the heads of experienced employees. |
B |
Which of the following statements about 3-D printing is not true? |
C |
All of the following are considered to be knowledge workers except: |
D |
CAD workstations: |
A |
Which of the following would not be classified as a KWS? |
D |
VR systems: |
D |
Which of the following seeks to enhance human perception by combining a live direct view of the physical world with computer-generated images? |
A |
3-D printers can produce fully functioning components, such as working batteries and LEDs. |
A |
CAD and VRML are both types of KWS. |
A |
Knowledge workers include all of a company's workers who are tasked with managing or creating knowledge, from top-level scientists to clerical and data workers. |
B |
VRML requires the use of a powerful server as well as large amounts of bandwidth. |
B |
Today's 3-D printers can create objects out of human cartilage. |
A |
The yellow first-down markers shown on televised football games are examples of AR. |
A |
Which of the following statements about genetic algorithms is not true? |
E |
All of the following are intelligent personal assistants for consumers except: |
D |
Apple's Siri application is an example of: |
D |
Which of the following is not used to capture tacit knowledge? |
D |
Which of the following is a type of intelligent technique? |
B |
Which of the following techniques is used for knowledge discovery? |
D |
Which of the following is a computer-based system that attempts to emulate human behavior? |
C |
An inference engine is: |
D |
Forward chaining is: |
A |
Backward chaining is: |
D |
Expert systems: |
C |
Virtually all expert systems deal with problems of: |
B |
Expert systems are expensive and time consuming to maintain because: |
C |
Which of the following stores descriptions of past experiences of human specialists in a database for later retrieval when the user encounters a situation with similar characteristics? |
A |
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: |
D |
You are an automotive engineer working on an application that will automatically parallel park a car. The intelligent technique you may find most useful is: |
C |
Fuzzy logic is a type of: |
C |
Which of the following has a large number of sensing and processing nodes that continuously interact with each other? |
A |
Which of the following describes a difference between neural networks and genetic algorithms? |
C |
Genetic algorithms: |
A |
Software programs that work without direct human intervention to carry out specific tasks for individual users, business processes, or software applications, are called: |
A |
What type of intelligent technique helped Procter & Gamble determine the most efficient methods for their trucks to deliver goods? |
B |
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 which of the following? |
D |
________ is the study of how computer programs can improve their performance without explicit programming. |
D |
The terms used in a fuzzy logic system to describe imprecise states or conditions are referred to as: |
B |
Which type of intelligent agent models the behavior of consumers, stock markets, and more, by seeing them as autonomous agents that follow relatively simple rules for interaction? |
A |
The model of human knowledge used by expert systems is referred to as: |
A |
A(n) ________ is a type of intelligent technique that finds patterns and relationships in massive data sets too large for a human to analyze. |
E |
ystems that integrate different types of techniques, such as genetic algorithms, fuzzy logic, neural networks, and expert systems, into a single application are called ________ systems. |
B |
Expert systems are the primary tools used for knowledge discovery. |
B |
Expert systems capture the knowledge of skilled employees in the form of a set of rules in a software system that can be used by others in the organization. |
A |
Expert systems are typically used in business in discrete, highly structured decision-making situations. |
A |
Expert systems work by applying a set of AND/OR rules against a knowledge base, both of which are extracted from human experts. |
B |
CBR is not well-suited for diagnostic systems in medicine. |
B |
Fuzzy logic can describe a particular phenomenon or process linguistically and then represent that description in a small number of flexible rules. |
A |
Fuzzy logic systems "learn" patterns from large quantities of data by sifting through data, searching for relationships, building models, and correcting over and over again the model's own mistakes. |
B |
Because neural network applications cannot always explain why they arrive at a particular solution, they are not well suited for use in the medical profession. |
B |
Hybrid AI applications are being implemented in home appliances, such as washing machines. |
A |
Intelligent agents can discover underlying patterns, categories, and behaviors in large data sets. |
B |
Today's AI systems are about to come up with new and novel solutions to problems. |
B |