Put me in coach: A daily examination of automated coaching on need for self‐knowledge and learning goal orientation through metacognitive activities.
Published In: Journal of Occupational & Organizational Psychology, 2025, v. 98, n. 1. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Dust, Scott; Steed, Laurens Bujold 3 of 3
Abstract
The workplace coaching industry is growing through technology‐based applications that are designed to enhance coaching accessibility and scalability. Despite the increasing adoption of these technological innovations among practitioners, researchers have little understanding of the theoretical mechanisms by which these technologies impact coachees. Further, rigorous research examining the outcomes of these applications is lacking. This study focused specifically on automated coaching, a nascent but growing type of coaching program that allows users to access customized insights about themselves and their colleagues in a digital application. We applied objective self‐awareness theory to examine how engagement in an automated coaching platform facilitates self‐reflective processes on a day‐to‐day basis. In an experience sampling study of 84 employed users of an automated coaching platform, we found that engagement in automated coaching significantly increased metacognitive activities on a daily basis. Further, these effects spilled over, positively influencing the next‐day need for self‐knowledge and learning goal orientation. We discuss the theoretical and practical implications of these findings as they relate to workplace coaching. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Occupational & Organizational Psychology. 2025/03, Vol. 98, Issue 1, p1
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2025
- ISSN:0963-1798
- DOI:10.1111/joop.12556
- Accession Number:184044957
- Copyright Statement:Copyright of Journal of Occupational & Organizational Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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