Publication Type

Journal Article

Version

publishedVersion

Publication Date

2-2024

Abstract

Prior studies on learning from failure primarily focus on how individuals learn from failure feedback given by other individuals. It is unclear whether and how the advent of machine feedback may influence individuals’ learning from failures. We suggest that failure feedback provided by machines facilitates learning in two ways. First, it focuses individuals’ attention on their failures, leading them to learn from these failures. Second, it serves as a catalyzer, motivating individuals to learn more from failure feedback given to them by other individuals as well. In addition, this catalyzing effect is stronger if the failure feedback from machines and by other individuals pertain to related tasks. Using a dataset of 1.5 million observations from an online programming contest community, we find support for our predictions. We contribute to the learning literature by demonstrating both the direct effect and the catalyzing effect of machine failure feedback on individuals’ learning.

Keywords

Learning, failure, machine-human interaction

Discipline

Educational Methods | Graphics and Human Computer Interfaces | Strategic Management Policy | Technology and Innovation

Research Areas

Strategy and Organisation

Publication

Journal of Business Research

Volume

172

First Page

1

Last Page

18

ISSN

0148-2963

Identifier

10.1016/j.jbusres.2023.114417

Publisher

Elsevier

Embargo Period

9-4-2024

Copyright Owner and License

Authors

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Additional URL

https://doi.org/10.1016/j.jbusres.2023.114417

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