Author
Listed:
- Yongtian Yu
(HSBC Business School (PHBS), Peking University, Shenzhen 518055, China)
- Weiming Ye
(HSBC Business School (PHBS), Peking University, Shenzhen 518055, China)
- Kaihang Zhang
(School of Management, Harbin Institute of Technology, Harbin 150001, China)
Abstract
Algorithmic recommendation mechanisms of social media platforms, viral diffusion of user-generated content (UGC), and real-time public opinion pressures are fundamentally deconstructing the traditional corporate crisis response paradigm that used to rely on one-way statements and delayed reactions. This compels enterprises to elevate their crisis response standards and construct new response frameworks. Based on an empirical analysis of 3,135,675 social media dissemination data points from 94 corporate crisis incidents, this study explores effective crisis response patterns for enterprises through three dimensions: response timing, methods, and content. The key findings indicate that traditional crisis response timelines prove inadequate for social media scenarios, whereas intervention during the ascending phase of dissemination significantly curtails crisis propagation cycles. Beyond formal statements, informal responses demonstrate equivalent mitigation effects, with combined formal–informal approaches yielding optimal outcomes. The comparative analysis of four content strategies (downplaying, supporting, denying, and reframing) reveals differentiated impacts on dissemination volume and duration, highlighting an inherent trade-off between these parameters. This research contributes to the crisis management theory in social media contexts while providing actionable guidance for enterprises to establish systematic crisis response methodologies. The results emphasize temporal sensitivity in response deployment, strategic content formulation, and multimodal communication integration.
Suggested Citation
Yongtian Yu & Weiming Ye & Kaihang Zhang, 2025.
"Faster? Softer? Or More Formal? A Study on the Methods of Enterprises’ Crisis Response on Social Media,"
Mathematics, MDPI, vol. 13(10), pages 1-21, May.
Handle:
RePEc:gam:jmathe:v:13:y:2025:i:10:p:1582-:d:1653483
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