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DUAL‐METRIC MEASUREMENT OF THE IMPACT OF COMPLEXITY ON DECISION QUALITY *
Author(s) -
Enis Charles R.
Publication year - 1986
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1986.tb00210.x
Subject(s) - decision quality , computer science , decision maker , metric (unit) , quality (philosophy) , set (abstract data type) , variance (accounting) , dual (grammatical number) , mathematics , artificial intelligence , machine learning , operations research , operations management , knowledge management , economics , team effectiveness , philosophy , accounting , epistemology , programming language , art , literature
Both sophisticated and unsophisticated subjects were provided either a simple or a complex cue set at random on which to base decisions. A dual‐metric approach that consisted of measuring interrater consistency and cross‐item variance for each subject category was used to compare the decision quality of the subjects. Although complexity and decision quality were inversely related, the sophisticated subjects performed relatively better using the complex cue set; the unsophisticated subjects performed better using the simple cue set. These findings support the notion that decision‐maker and task compatibility are important to the assessment of decision quality.