Chapter 11 MIS

Which of the following is the last step in the knowledge management value chain? A) Feedback B) Acquire C) Disseminate D) Store E) Apply

About ________ percent of the United States GDP is produced by the knowledge and information sectors. A) 15 B) 25 C) 55 D) 65 E) 85

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

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

The text defines ________ as expertise of organizational members that has not been formally documented. A) wisdom B) information C) data D) experience E) tacit knowledge

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. E) Much of the firm's value relies on being able to create knowledge.

What 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. E) Knowledge is difficult to replace.

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 a location. D) Knowledge is situational. E) Knowledge is timeless.

Changing organizational behavior by sensing and responding to new experience and knowledge is called: A) change management. B) knowledge leveraging. C) the knowledge value chain. D) machine learning. E) knowledge management.

What is the first value-adding step in the knowledge business value chain? A) Acquire B) Data and information acquisition C) Store D) Disseminate E) Apply

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. E) knowledge.

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

Specialized systems built for knowledge workers charged with discovering and creating new knowledge for a company are called: A) KWS. B) LMS. C) wikis. D) COPs. E) enterprise-wide knowledge management systems.

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

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. E) expertise.

All of the following are intangible assets of a firm except its: A) brand. B) reputation. C) knowledge. D) information systems. E) unique business processes

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

Which of the following types of system enables organizations to digitize, index, and tag documents according to a coherent framework? A) Wikis B) CAD C) ECM D) LMS E) VR

All of the following are typical components or capabilities of an ECM system except: A) knowledge portals. B) communication tools. C) tagging tools. D) digital asset management. E) AR tools.

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

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

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? A) MOOC B) Digital asset management system C) CAD system D) VRML system E) LMS

A MOOC is: A) a type of online course. B) an intelligent technique. C) a VR system. D) a machine learning system. E) a type of content management system.

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

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

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

All of the following are considered to be knowledge workers except: A) designers. B) engineers. C) architects. D) executives. E) researchers.

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. E) facilitate employee learning.

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

VR systems: A) provide engineers, designers, and factory managers with precise control over industrial design and manufacturing. B) automate the creation and revision of designs. C) use machines to make solid objects. D) provide architects, engineers, and medical workers with precise, photorealistic simulations of objects. E) enable acquiring, storing, and disseminating knowledge documents in a virtual world.

Which of the following seeks to enhance human perception by combining a live direct view of the physical world with computer-generated images? A) AR B) VRML C) CAD D) KWS E) LMS

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

All of the following are intelligent personal assistants for consumers except: A) Siri. B) Alexa. C) Google Now. D) Watson. E) Cortana.

Apple's Siri application is an example of: A) neural networks. B) CBR. C) AI. D) intelligent agents. E) machine learning.

Which of the following is not used to capture tacit knowledge? A) Expert system B) CBR C) Fuzzy logic D) Neural network E) Knowledge base

Which of the following is a type of intelligent technique? A) Digital asset management B) Case-based reasoning C) CAD D) VRML E) LMS

Which of the following techniques is used for knowledge discovery? A) Expert system B) Transaction processing systems C) CBR D) Data mining E) Fuzzy logic

Which of the following is a computer-based system that attempts to emulate human behavior? A) Fuzzy logic B) Neural networks C) AI technology D) Genetic algorithms E) LMS

An inference 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. E) a programming algorithm used to create a virtual world using VRML.

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. E) a programming algorithm used to create a virtual world using VRML.

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. E) a programming algorithm used to create a virtual world using VRML.

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

Virtually all expert systems deal with problems of: A) policy development. B) classification. C) logic and control. D) high complexity. E) imprecise rules.

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. E) it is difficult to program at this level of complexity without introducing software bugs.

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) CBR B) Fuzzy logic C) Data mining D) LMS E) Expert systems

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) CBR. D) fuzzy logic. E) genetic algorithm.

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: A) CBR. B) AI. C) fuzzy logic. D) expert system. E) a neural network.

Fuzzy logic is a type of: A) data mining. B) a neural network. C) an intelligent technique. D) business intelligence. E) CBR.

Which of the following has a large number of sensing and processing nodes that continuously interact with each other? A) Neural network B) Expert system C) CBR D) Fuzzy logic system E) Genetic algorithm

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) Genetic algorithms are designed to work with small amounts of data, while neural networks can handle large quantities of data. E) Neural networks are a type of machine learning, whereas genetic algorithms are static programs.

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

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

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) Neural networks E) CBR

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? A) CAD system B) VR system C) Fuzzy logic D) Intelligent agent E) Genetic algorithm

________ is the study of how computer programs can improve their performance without explicit programming. A) Neural networks B) COP C) Genetic algorithms D) Machine learning E) Intelligent techniques

The terms used in a fuzzy logic system to describe imprecise states or conditions are referred to as: A) neural networks. B) membership functions. C) inference engines. D) taxonomies. E) tags.

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) Agent-based modeling B) MOOC C) AR D) VRML E) Genetic algorithm

The model of human knowledge used by expert systems is referred to as: A) the knowledge base. B) CBR. C) a neural network. D) expert AI E) VRML.

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

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. A) differential intelligence B) hybrid AI C) machine learning D) enterprise learning E) CAD