ITC ch 11 practice Q's

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

Apply

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

Neural network

________ knowledge exists in formal documents, as well as in formal rules that organizations derive by observing experts and their decision-making behaviors. Explicit Structured Management Tacit Unstructured

Structured

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

Watson.

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

data

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

executives

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

practice.

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? MOOC Digital asset management system LMS Virtual reality system CAD 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 ECM Wikis VR LMS

ECM

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

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

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

Expert system

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

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? LMS Genetic algorithms Virtual reality systems AI technology Neural networks

AI technology

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

Acquire

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

Augmented reality

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

Which of the following statements about genetic algorithms is not true? Genetic algorithms discover knowledge by using hardware and software that parallel the processing patterns of the biological or human brain. Genetic algorithms use an iterative process to refine initial solutions so that better ones are more likely to emerge as the best solution. Genetic algorithms are able to evaluate many solution alternatives quickly to find the best one. Genetic algorithms are used to solve problems that are very dynamic and complex, involving hundreds or thousands of variables or formulas. Genetic algorithms are based on techniques inspired by evolutionary biology.

Genetic algorithms discover knowledge by using hardware and software that parallel the processing patterns of the biological or human brain.

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

It is incompatible with the cloud.

Which of the following does not describe the dimensions of knowledge in a firm? It is a cognitive event involving mental models. It is enmeshed in a firm's culture. It is intangible. 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.

What is meant by the statement "knowledge is sticky"? Knowledge is hard to move. Knowledge works only in certain situations. Knowledge is intangible. Knowledge is difficult to replace. 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 a firm asset. Knowledge is timeless. Knowledge is situational. Knowledge has different forms. Knowledge has a location.

Knowledge is timeless.

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

Knowledge is unconditional

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

Knowledge is useful only when shared with others.

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

Machine learning

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

Machine learning

Which of the following statements about natural language processing (NLP) is not true? NLP is typically based on machine learning techniques. NLP often uses neural networks. NLP is used by Google to return more meaningful search engine results based on the user's search language. NLP can infer customers' specific needs when they call help centers. NLP relies on the use of natural language experts.

NLP relies on the use of natural language experts.

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

Neural networks

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

Request for proposals

Which of the following statements about robotics is not true? Robotics relies on sensors to provide vision and sensory feedback. Robotics has widespread use in the automobile industry. 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 does not require programming but instead relies solely on AI.

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

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

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

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

a type of online course

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

artificial intelligence tools.

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

data mining

Machine learning systems: 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.

find patterns in large data sets.

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

information technology

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

intelligent agents.

Software programs that work without direct human intervention to carry out specific tasks for individual users, business processes, or software applications, are called: intelligent agents. AI hybrid systems. genetic algorithms. business intelligence. intelligent techniques.

intelligent agents.

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

neural network

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

organizational and management capital.

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

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

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

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 experience data wisdom

tacit knowledge

In content management, once a taxonomy is developed, documents must then be ________ with the proper classification. inventoried retrieved tagged archived tupled

tagged

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

taxonomy

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

that are highly structured

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

the knowledge base.

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

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: programs that identify cats (or other objects) without human intervention. 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. 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.

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

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

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

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

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