电抗
相互依存
心理学
解释水平理论
社会心理学
建议(编程)
特质
自我构念
推荐系统
广告
计算机科学
业务
万维网
物理
量子力学
电压
程序设计语言
政治学
法学
作者
Muhammad Aljukhadar,Valerie Trifts,Sylvain Sénécal
摘要
Abstract Commercial recommendation agents (RAs) represent an important type of the decision support systems (DSSs) that are widely used by online retailers and firms. To date, little is known about the factors that shape the user's decision making and reactance toward the recommendations of these agents. Building on theories from psychology and information systems domains, this research proposes that a user's self‐construal and trust are two relevant factors that interact to shape the behavior toward the RA advice. Two studies, the first conducted using potential online customers and the second conducted at a behavioral laboratory, provided support to this proposition. The first study considered RA trust and showed that activating the interdependent self leads users with low (high) trust to exhibit high reactance behavior toward the RA advice. The second study variated trust using trust cues and corroborated the latter finding, while showing no important impact for the psychological reactance trait. As expected, in both studies the reactance behavior of independent users was not affected by trust. These results contribute by underscoring that social interdependence extends to RAs because the role of trust becomes salient when the interdependent self is activated for a user.
科研通智能强力驱动
Strongly Powered by AbleSci AI