2213. The Impact of Business Model Selection on Organizational Resilience in Times of Crisis
Invited abstract in session TD-6: Financial Reporting, stream Financial Management and Accounting.
Thursday, 14:30-16:00Room: H9
Authors (first author is the speaker)
| 1. | Vedant Sharma
|
| Management and quality science, Politechnika Wrocławska |
Abstract
With the increasing global uncertainties and crises, understanding how businesses can effectively respond and adapt towards them is more critical and necessary than ever. This systematic literature review investigates how the choices and innovations in business models contribute to organizational resilience during the disruptions, particularly during the recent events such as the COVID 19 pandemic and ongoing geopolitical disruptions. By synthesizing insights from dynamic capabilities theory to evolutionary economic theory, they have explained the framework of how firms build, adapt, and sustain resilience. This systematic review article finds that flexible business model design, supported by dynamic capabilities (e.g., sensing, seizing, and reconfiguring), enables organizations to rapidly and efficiently reconfigure resources to navigate through disruptions. We identify organization resilience as an emergent dynamic capability itself, continuously strengthened through improving the business models and experiential learning from crises. Theoretical implications include the understanding of resilience as an adaptable layered construct, closely linked to strategic innovation and dynamic capabilities. From the practical perspective, the findings suggest strategies for firms - especially small and medium enterprises (SMEs) in unstable environments to enhance resilience, such as continuously refining their business models and promoting an innovation- driven culture capable of proactively responding to uncertainty. This work contributes to both resilience literature and business model innovation research by providing valuable guidance for organizations operating in disruptive environments.
Keywords
- Enterprise Resource Planning Systems
- Decision Theory and Analysis
- Strategic Planning and Management
Status: accepted
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