IS chap 10 quiz
What are the two major types of knowledge management systems? a. Enterprise-wide knowledge management systems and knowledge work systems b. Management information systems and decision support systems c. Enterprise systems and knowledge management systems d. Expert systems and knowledge work systems
a. Enterprise-wide knowledge management systems and knowledge work systems
________ are designed to have a generalize capability to learn. a. Neural networks. b. Knowledge-based systems. c. Expert systems. d. Fuzzy logic systems.
a. Neural networks.
Expert systems capture human expertise in the form of a set of rules in a software system that can be used by others in the organization. a. True b. False
a. True
Shopping bots are a form of intelligent agent. a. True b. False
a. True
Automobile companies would implement a(n) ________ to allow Web site visitors to configure their desired car. a. customer decision support (CDSS) b. GDSS c. CAD system d. model-driven DSS
a. customer decision support (CDSS)
The components of a DSS are the: a. user interface, software system, and database. b. database, data mining tools, and analysis tools. c. database, data query language, and user interface. d. data visualization tools, software, and graphics capabilities.
a. user interface, software system, and database
________ systems help organizations manage both structured and semistructured knowledge. a. Knowledge work b. Enterprise content management c. Digital asset management d. Knowledge network
b. Enterprise content management
Case-based reasoning describes a particular phenomenon or process linguistically and then represents that description in a small number of flexible rules. a. True b. False
b. False
GDSS are designed to display data in the form of digitized maps. a. True b. False
b. False
Unlike genetic algorithms, neural networks are not suited to finding patterns and relationships in massive amounts of data. a. True b. False
b. False
MIS typically produce: a. New ways of looking at data that emphasize change, flexibility, and rapid response. b. Fixed, regularly scheduled reports based on data extracted from the organization's TPS. c. Solutions to semistructured problems appropriate for middle management decision-making. d. Responses to ad hoc queries, and graphic representations of existing data.
b. Fixed, regularly scheduled reports based on data extracted from the organization's TPS.
An inference engine is: a. a data mining strategy used by intelligent agents. b. a strategy used to search through the rule base in an expert system. c. the programming environment of an expert system. d. a method of organizing expert system knowledge into chunks.
b. a strategy used to search through the rule base in an expert system.
Expertise and experience of organizational members that has not been formally documented best describes: a. information. b. tacit knowledge. c. wisdom. d. data.
b. tacit knowledge.
________ help media firms store and manage unstructured digital data such as photographs, images, videos, and audio files. a. CAD b. LMS c. Digital asset management systems d. Knowledge networks
c. Digital asset management systems
Which dimension of quality means that a decision faithfully reflects the concerns and interests of affected parties? a. Coherence b. Due process c. Fairness d. Justice
c. Fairness
Based on your reading of the chapter case discussing the HSBC, which type of information system was used to establish the policies for lending subprime mortgages? a. Model-driven ESS b. GIS c. Model-driven DSS d. Data-driven DSS
c. Model-driven DSS
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: a. genetic algorithms. b. CAD systems. c. intelligent agents. d. fuzzy logic systems.
c. intelligent agents.
Which phase of decision making finds or recognizes a problem? a. Design b. Implementation c. Choice d. Intelligence
d. Intelligence
Backward sensitivity analysis software is used for: a. historical what-if analysis. b. supply chain optimization. c. reverse forecasting. d. goal seeking.
d. goal seeking.
Intelligent techniques that parallel some aspects of the processing patterns of the biological brain best describes: a. fuzzy logic. b. genetic algorithms. c. case-based reasoning. d. neural networks.
d. neural networks.
