Algorithmic Facial Expression Analysis: A Novel Methodology to Advance Management Research on Emotions
Journal
Academy of Management Journal
Type
journal article
Date Issued
2026
Author(s)
Abstract
With the rapid advancement of artificial intelligence technologies, algorithmic facial expression analysis (AFEA) has emerged as a promising methodology to measure emotions. Despite rapid adoption across management subfields, however, the full scope of AFEA’s theoretical potential remains underexplored. This paper provides a framework that links the AFEA measurement innovation to major opportunities for theoretical advancement around emotions in organizations. We start by describing the methodological basis of AFEA and reviewing its applications in management research to date. We then outline two core capabilities of AFEA—namely, capturing the temporal structure of emotions and detecting inauthentic expressions of emotions—and illustrate how these capabilities can enable theory advancement in management research. After presenting an empirical demonstration of AFEA’s capabilities and a practical step-by-step guide for using it, we conclude by discussing key considerations for realizing the future potential of AFEA research.
Language
English
HSG Classification
contribution to scientific community
Refereed
Yes
Volume
forthcoming
Subject(s)