How information processing style shapes people’s algorithm adoption

Main Article Content

Ke Zhang
Cite this article:  Zhang, K. (2021). How information processing style shapes people’s algorithm adoption. Social Behavior and Personality: An international journal, 49(8), e10417.


Abstract
Full Text
References
Tables and Figures
Acknowledgments
Author Contact

Across four studies I tested why people are averse to relying on algorithmic judgments in person judgment tasks (e.g., student admissions), and examined how such aversions can be attenuated. I proposed that people tend to focus more on case-specific information (vs. general propositions) in person-judgment tasks, and that algorithms (vs. human experts) are believed to be skilled at addressing general propositions (vs. case-specific information). Thus, I posited that in person-judgment tasks, people would be less averse to relying on algorithmic judgments when they focus more on general propositions (vs. case-specific information). By varying the perceived importance of case-specific information and general propositions, the research provides support for these hypotheses. In addition, the results reveal the mechanism underlying algorithm aversion in person judgments and provide a cost-effective way to increase consumers’ algorithm adoption.

Please login and/or purchase the PDF to view the full article.
Please login and/or purchase the PDF to view the full article.
Please login and/or purchase the PDF to view the full article.
Please login and/or purchase the PDF to view the full article.
Please login and/or purchase the PDF to view the full article.

Article Details