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A Self‐regulation Perspective on Hidden‐profile Problems: If–Then Planning to Review Information Improves Group Decisions
Author(s) -
Thürmer J. Lukas,
Wieber Frank,
Gollwitzer Peter M.
Publication year - 2015
Publication title -
journal of behavioral decision making
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 76
eISSN - 1099-0771
pISSN - 0894-3257
DOI - 10.1002/bdm.1832
Subject(s) - perspective (graphical) , incentive , action (physics) , control (management) , explanatory power , psychology , process (computing) , power (physics) , social psychology , computer science , economics , microeconomics , artificial intelligence , epistemology , philosophy , physics , quantum mechanics , operating system
In hidden‐profile (HP) problems, groups squander their potential to make superior decisions because members fail to capitalize on each other's unique knowledge ( unshared information ). A new self‐regulation perspective suggests that hindrances in goal striving (e.g., failing to seize action opportunities) contribute to this problem. Implementation intentions (if–then plans) are known to help deal with hindrances in goal striving; therefore, supporting decision goals with if–then plans should improve the impact of unshared information on group decisions. Indeed, in line with past research, control participants in two experiments rarely identified the best alternative despite monetary incentives and setting decision goals. In contrast, simply adding if–then plans to review advantages of the non‐preferred alternatives before making the final decision significantly increased solution rates. Process manipulations (Experiment 1) and measures (Experiment 2) indicate that conceptualizing HP problems as a self‐regulation challenge provides explanatory power beyond existing accounts. Copyright © 2014 John Wiley & Sons, Ltd.