Social Executives’ emotions and firm value : An empirical study enhanced by cognitive analytics
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Article number | 114575 |
Journal / Publication | Journal of Business Research |
Volume | 175 |
Online published | 19 Feb 2024 |
Publication status | Published - Mar 2024 |
Link(s)
Abstract
Investors are increasingly relying on social media to seek insights into corporate prospects. However, it remains unclear whether social executives—those engaging with stakeholders through social media—provide valuable information that shapes investors’ investment decisions, thereby influencing firm value. Drawing on emotions as social information theory, this study explores the impact of social executives’ emotions, derived from social media posts, on firm value. Moreover, we consider variances in effects across different post types and firm sizes. Applying advanced cognitive analytics and deep learning techniques, our analysis reveals a significant association between the emotions of fear and anger expressed in posts related to firm events or routine work and firm value, with more pronounced effects observed in small firms. Additionally, our machine learning experiments demonstrate that social executives’ emotions contribute to more accurate predictions of firm value than sentiments alone. These findings have important implications for both theory and practice. © 2024 Elsevier Inc.
Research Area(s)
- Cognitive Analytics, Deep Learning, Emotions, Firm Value, Social Executives
Citation Format(s)
Social Executives’ emotions and firm value: An empirical study enhanced by cognitive analytics. / Wang, Qiping; Lau, Raymond Yiu Keung; Xie, Haoran et al.
In: Journal of Business Research, Vol. 175, 114575, 03.2024.
In: Journal of Business Research, Vol. 175, 114575, 03.2024.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review