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Impact of intelligent decision aids on expert and novice decision‐makers’ judgments
Author(s) -
Arnold Vicky,
Collier Philip A.,
Leech Stewart A.,
Sutton Steve G.
Publication year - 2004
Publication title -
accounting and finance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.645
H-Index - 49
eISSN - 1467-629X
pISSN - 0810-5391
DOI - 10.1111/j.1467-629x.2004.00099.x
Subject(s) - decision aids , decision analysis , decision quality , computer science , intelligent decision support system , decision support system , business decision mapping , evidential reasoning approach , decision engineering , r cast , decision maker , optimal decision , expert system , decision rule , decision tree , quality (philosophy) , knowledge management , management science , artificial intelligence , engineering , medicine , mathematics , team effectiveness , statistics , alternative medicine , philosophy , epistemology , pathology
Businesses have invested tremendous resources into intelligent decision aid development. A good match between user and aid may improve the expert decision‐maker's decision quality. However, novices may be prone to poorer decision‐making if intelligent decision aids are more expert than the user. The present paper provides an empirical test of the impact of decision aids on subjects with differential expertise levels. The results support the contention that intelligent decision aids aggravate bias in novices’ decision‐making but mitigate bias in experts’ decision‐making processes. Intelligent decision aids may be best viewed as complements to expert decision‐makers during complex problem analysis and resolution.