Chapter 11

Which of the following techniques is used for knowledge acquisition? Data mining Transaction processing systems CAD Content management system Decision support systems

Data mining

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? CAD system Digital asset management system LMS MOOC Virtual reality system

Digital asset management system

Which of the following types of system enables organizations to digitize, index, and tag structured and unstructured knowledge and documents according to a coherent framework? CAD Wikis VR ECM LMS

ECM

Which of the following are the three major types of knowledge management systems? COPs, ECM, and MIS CRM, SCM, and CAD DBMS, DSS, and ECM MIS, DSS, and TPS Enterprise-wide knowledge management systems, KWS, and intelligent techniques

Enterprise-wide knowledge management systems, KWS, and intelligent techniques

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

Expert system

About ________ percent of the total economic output of the United States derives from the output of the knowledge and information sectors of the economy. 15 55 65 20 85

20

Which of the following is not true about AI technologies? AI programs today have mastered common sense thinking similar to humans. Speech recognition is used in intelligent personal assistants like Siri and Alexa. AI can recognize human speech with only a 6 percent error rate. AI programs can recognize faces. AI systems take data from the environment, and produce outputs like other computer programs.

AI programs today have mastered common sense thinking similar to humans.

Which of the following is a computer-based system that attempts to emulate how humans think and act? Genetic algorithms LMS Neural networks AI technology Virtual reality systems

AI technology

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

Acquire

What is the last value-adding step in the knowledge business value chain? Disseminate Store Apply Acquire Data and information acquisition

Apply

Which of the following seeks to enhance human perception by combining a live direct view of the physical world with computer-generated images? Knowledge Work System Augmented reality Machine Learning System Computer-Aided Design Expert system

Augmented reality

Which of the following describes a difference between neural networks and genetic algorithms? Genetic algorithms are a type of knowledge discovery, while neural networks are an intelligent technique. Genetic algorithms are designed to work with small amounts of data, while neural networks can handle large quantities of data. Genetic algorithms are designed to process large amounts of information. Neural networks are a type of machine learning, whereas genetic algorithms are static programs. Genetic algorithms are used to evaluate alternative solutions to problems, whereas neural networks are used to discover patterns in data.

Genetic algorithms are used to evaluate alternative solutions to problems, whereas neural networks are used to discover patterns in data.

Which of the following statements about 3-D printing is not true? It is also called additive manufacturing. It creates objects layer by layer. It creates solid objects. It uses specifications in a digital file. It is incompatible with the cloud.

It is incompatible with the cloud.

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

It is subject to the laws of diminishing returns.

Specialized systems built for knowledge workers charged with discovering and creating new knowledge for a company are called: wikis. enterprise-wide knowledge management systems. COPs. Knowledge Work Systems (KWS). Learning Management Systems (LMS).

Knowledge Work Systems (KWS).

What is meant by the statement "knowledge is sticky"? Knowledge is intangible. Knowledge is hard to move. Knowledge is difficult to replace. Knowledge works only in certain situations. Knowledge is universally applicable.

Knowledge is hard to move.

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

Knowledge is timeless.

Which of the following statements is not an accurate description of the importance of knowledge to a firm? Knowledge is unconditional. Knowledge should be seen as an intangible key asset. Knowledge enables firms to become more efficient in their use of scarce resources. Much of the firm's value relies on being able to create knowledge. Knowledge experiences network effects as more people share it.

Knowledge is unconditional

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

Knowledge is useful only when shared with others.

Which of the following is a tool for the management, delivery, tracking, and assessment of various types of employee learning? Investment workstation Organizational learning system LMS Employee enrichment system Employee management system

LMS

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

Machine learning

_______ can improve their performance without explicit programming. Communities of practice Machine learning Intelligent techniques Genetic algorithms Neural networks

Machine learning

Which of the following is a type of intelligent technique? Neural network CAD Digital asset management Augmented reality LMS

Neural network

Which of the following has a large number of sensing and processing nodes that continuously interact with each other? Neural networks Business intelligence systems Expert systems Knowledge management systems Genetic algorithm

Neural networks

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

Pattern recognition

Which of the following would not be considered semistructured knowledge? Videos Request for proposals E-mail Voice mail Brochures

Request for proposals

Which of the following statements about robotics is not true? Robotics does not require programming but instead relies solely on AI. Robotics involves the creation and use of machines than can substitute for humans. Robotics can be used for surgery, bomb deactivation, and other dangerous environments. Robotics has widespread use in the automobile industry. Robotics relies on sensors to provide vision and sensory feedback.

Robotics does not require programming but instead relies solely on AI.

All of the following are intelligent personal assistants for consumers except: Watson. Siri. Google Now. Cortana. Alexa.

Watson.

Augmented reality is: a system that uses machine learning to produce new digital images. a system for creating computer-generated simulations that are close to reality. a method of organizing expert system knowledge into chunks. a programming algorithm used to create a virtual world using machine learning. a technology for enhancing visualization by overlaying digital data and images onto a physical real-world environment

a technology for enhancing visualization by overlaying digital data and images onto a physical real-world environment

A MOOC is: a type of online course. a VR system. a machine learning system. a type of content management system. an intelligent technique.

a type of online course.

All of the following are typical components or capabilities of an ECM system except: knowledge portals. tagging tools. communication tools. artificial intelligence tools. digital asset management.

artificial intelligence tools.

The text defines ________ as the flow of events or transactions captured by an organization's system. wisdom knowledge information experience data

data

Genetic algorithms: seek to emulate a human expert's way of solving problems. are based on logic. represent knowledge as groups of characteristics. develop solutions to particular problems using inheritance, crossover, and mutation. do not work for most problems.

develop solutions to particular problems using inheritance, crossover, and mutation.

Coca-Cola uses a ________ in order to classify, store and distribute all the images of the brand. neural network virtual reality system learning management system digital asset management system knowledge base

digital asset management system

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

executives.

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

find patterns in large data sets.

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

information technology.

Apple's Siri application is an example of: intelligent agents. machine learning. AI. neural networks. augmented reality.

intelligent agents.

Expert systems: are capable of solving wide ranges of problems. are used for knowledge discovery. share characteristics with mainframe computing. are based on DO WHILE rules. lack the general intelligence of human beings.

lack the general intelligence of human beings.

Intelligent agents rely on: MOOC. virtual reality systems. agent-based modeling. machine learning. augmented reality.

machine learning.

A(n) ________ is a type of intelligent technique that finds patterns and relationships in massive data sets too large for a human to analyze. genetic algorithm CAD expert system neural network inference engine

neural network

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

organizational and management capital.

Changing organizational behavior by sensing and responding to new experience and knowledge is called: knowledge leveraging. the knowledge value chain. change management. knowledge management. organizational learning.

organizational learning.

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. professionals. knowledge. practice. expertise.

practice.

Unsupervised machine learning involves: using genetic algorithms to identify patters in large datasets. using algorithms to simulate the neurons and synapses of human brains. programs that can detect digital photos of human faces and cats without humans labeling the input photos. using labeled inputs identified by humans to recognize objects. using very large databases to store common sense knowledge, then searching the database for patt

programs that can detect digital photos of human faces and cats without humans labeling the input photos.

CAD workstations: provide engineers, designers, and factory managers with precise control over industrial design and manufacturing. are high-end PCs used in the financial sector to analyze trading situations instantaneously and facilitate portfolio management. provide an important source of expertise for organizations. allow groups to work together on documents. facilitate employee learning.

provide engineers, designers, and factory managers with precise control over industrial design and manufacturing

The text defines ________ as expertise of organizational members that has not been formally documented. tacit knowledge information data experience wisdom

tacit knowledge

A(n) ________ is a scheme for classifying information and knowledge in such a way that it can be easily accessed. COP Intelligent technique KWS enterprise-wide knowledge management system taxonomy

taxonomy

Virtually all expert systems deal with problems: that are highly structured. of logic and control. of high complexity. with imprecise rules. of policy development.

that are highly structured

The collection of expert rules developed by expert systems is referred to as: artificial intelligence. a genetic algorithm. Internet of Things (IoT). a deep learning neural network. the knowledge base.

the knowledge base.

Expert systems are expensive and time consuming to maintain because: their rules must be reprogrammed every time there is a change in the environment, which in turn may change the applicable rules. it is difficult to program at this level of complexity without introducing software bugs. only the person who created the system knows exactly how it works, and may not be available when changes are needed. they rely on equipment that becomes outdated. their rule base is so complex.

their rules must be reprogrammed every time there is a change in the environment, which in turn may change the applicable rules.

Supervised machine learning involves: complex computer programs that decide what they want to learn. programs that identify cats (or other objects) without human intervention. using very large databases to store common sense knowledge, then searching the database for patterns. 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. programmers supervising the machine learning program.

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.

Supervised machine learning involves: programmers supervising the machine learning program. programs that identify cats (or other objects) without human intervention. complex computer programs that decide what they want to learn. using very large databases to store common sense knowledge, then searching the database for patterns. 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.

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.

Neural networks: function similar to the human brain in recognizing objects. rely on rules similar to expert systems. use Learning Rules to identify the optimal path through the network. are composed of an input layer and an output layer. use facial recognition algorithms to identify unique facial characteristics.

use Learning Rules to identify the optimal path through the network. ,,,,

VR systems: enable acquiring, storing, and disseminating knowledge documents in a virtual world. provide engineers, designers, and factory managers with precise control over industrial design and manufacturing. use machines to make solid objects. use computer-generated simulations that are so close to reality that users almost believe they are participating in a real-world situation. automate the creation and revision of designs.

use computer-generated simulations that are so close to reality that users almost believe they are participating in a real-world situation.

Deep learning networks: rely on experts to tell the system what patterns to expect in the data. rely on humans to help it identify patterns. require labeled data as input. require explicit programming by humans to identify patterns in unlabeled data. use multiple layers of neural networks to detect patterns in input data.

use multiple layers of neural networks to detect patterns in input data.