Algorithm Versus Human Expert Recommendations Preferences in Decision Support: Two Essays

Algorithms refer to the software programs designed to support problem solving in a wide range of decision domains. Given the Artificial Intelligence (AI) revolution, algorithms have become an integral part of our personal, social, and professional lives. As technology rapidly advances, these algorithms are not only becoming more capable but are also finding a growing array of applications in managerial and consumer decision support. Despite their increasing presence, reactions to algorithms are mixed. While some research highlights a preference for algorithms over human judgment ("algorithm appreciation"), other studies reveal a contrary preference ("algorithm aversion"), where people favor human expertise. This research provides a conceptual framework and empirical evidence regarding factors that may influence preference for algorithmic versus human expert recommendations in business decision contexts. We use experimental psychological methods to investigate how algorithm characteristics, decision-maker psy

Name thesis:degree_name

Doctor of Philosophy

Level thesis:degree_level

doctoral

Discipline thesis:degree_discipline

Business, Executive Business Research

Department dc:contributor.department

Business

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2024

Author dc:creator

• Lyvers, Aaron Kenneth

Chair dc:contributor.committeechair

• Chakravarti, Dipankar

Committee members dc:contributor.committeemember

• Herr, Paul Michael
• Bagchi, Rajesh
• Zhu, Meng

• AI
• Algorithm Aversion
• Algorithm Appreciation
• Algorithms in Decision Making
• Algorithm Use

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Language dc:language.iso

en

Dc Identifier Other

vt_gsexam:41522

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/121272