ITSS quiz 12

Which of the following is the first step in the knowledge management value chain? Apply Feedback Disseminate Acquire Store

Acquire

Which of the following would not be classified as a KWS? 3D visualization system CAD system AR applications VR system Expert system

Expert System

For a firm, organizational resources are unnecessary to transform data into knowledge. True False

False

Machine learning systems: simulate the neurons in human brains to find patterns. use machines to master a body of knowledge. find patterns in large data sets. rely on expert systems to identify learning objectives. are currently not useful for organizations.

Find patterns in large data sets

All of the following are intangible assets of a firm except its: reputation. brand. information technology. knowledge. unique business processes.

Information technology

Which of the following does not describe the dimensions of knowledge in a firm? It is a cognitive event involving mental models. It is contextual and applicable only in relevant situations. It is enmeshed in a firm's culture. It is subject to the laws of diminishing returns. It is intangible.

It is subject to the laws of diminishing returns

Which of the following statements best describes the relationship between collaboration and knowledge management? Knowledge is useful only when shared with others. Knowledge is impossible without collaboration. Knowledge is the result of collaboration. Collaboration is impossible without knowledge. As knowledge improves, so does collaboration.

Knowledge is only useful when shared with others

Which of the following is not one of the main four dimensions of knowledge described in the chapter? Knowledge has a location. Knowledge is a firm asset. Knowledge is timeless. Knowledge has different forms. Knowledge is situational.

Knowledge is timeless

What type of intelligent technique helps Netflix develop a personalized selection of videos for customers? Deep learning neural networks Genetic algorithms Intelligent agents Machine learning Neural networks

Machine Learning

Computer vision systems rely on which of the following intelligent techniques? Database programs Pattern recognition Genetic algorithms Expert systems Intelligent computer agents

Pattern recognition

CAD and virtual reality are both types of Knowledge Work Systems (KWS). True False

True

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. True False

True

Knowledge is "sticky" and not easily moved. True False

True

All of the following are considered to be knowledge workers except: researchers. engineers. designers. architects. executives.

executives

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. true or false

false

Expertise is typically stored in structured documents throughout the firm. True False

false

The set of business processes, culture, and behavior required to obtain value from investments in information systems is one type of: organizational routine. knowledge culture. knowledge discovery. knowledge. organizational and management capital.

organizational and management capital

Informal social networks of professionals and employees within and outside the firm who have similar work-related activities and interests are called communities of: interest. expertise. practice. knowledge. professionals.

practice

Supervised machine learning involves: a. training a neural network to identify digital photos of cars or other objects in a very large dataset, with humans assessing whether the machine is correct or incorrect. b. complex computer programs that decide what they want to learn. c. programmers supervising the machine learning program. d. using very large databases to store common sense knowledge, then searching the database for patterns. e. programs that identify cats (or other objects) without human intervention.

training a neural network to identify digital photos of cars or other objects in a very large dataset, with humans assessing whether the machine is correct or incorrect.

The yellow first-down markers shown on televised football games are examples of AR. True False

true