TY - JOUR
T1 - The Impact of Behavioral Similarity on DSS Advice Acceptance
AU - Campbell, Merle
AU - Keil, Mark
AU - Boodraj, Maheshwar
N1 - Publisher Copyright:
© 2022 Copyright is held by the owner/author(s).
PY - 2022/8
Y1 - 2022/8
N2 - Despite the many advantages that decision support systems (DSSs) provide to decision makers, acceptance of advice from these systems has remained relatively low. In this study, we leverage theoretical insights from the literature to build a DSS that is behaviorally similar to its user, with the aim of increasing acceptance of DSS advice. To test whether users would be more accepting of advice from a behaviorally-similar DSS, we conducted a field experiment in a complex semi-structured decision context. The results of our experiment provide empirical evidence that a behaviorally-similar DSS can increase acceptance of advice in semi-structured decision-making contexts.
AB - Despite the many advantages that decision support systems (DSSs) provide to decision makers, acceptance of advice from these systems has remained relatively low. In this study, we leverage theoretical insights from the literature to build a DSS that is behaviorally similar to its user, with the aim of increasing acceptance of DSS advice. To test whether users would be more accepting of advice from a behaviorally-similar DSS, we conducted a field experiment in a complex semi-structured decision context. The results of our experiment provide empirical evidence that a behaviorally-similar DSS can increase acceptance of advice in semi-structured decision-making contexts.
KW - artificial neural network
KW - behavioral similarity
KW - decision support system
KW - dss advice acceptance
KW - field experiment
KW - it artifacts as social actors
UR - http://www.scopus.com/inward/record.url?scp=85135098588&partnerID=8YFLogxK
U2 - 10.1145/3551783.3551786
DO - 10.1145/3551783.3551786
M3 - Article
AN - SCOPUS:85135098588
SN - 0095-0033
VL - 53
SP - 10
EP - 25
JO - Data Base for Advances in Information Systems
JF - Data Base for Advances in Information Systems
IS - 3
ER -