Factors Affecting Business Model Dynamics in Knowledge-Based Startups Regarding Covid-19 Pandemic

Abstract

Purpose: The aim of this study is to identify factors affecting the dynamics of the business model in knowledge-based startups in Kermanshah, considering the effects of Covid-19. Methodology: In terms of purpose, the research was applied and qualitative approach was used. Data were gathered through semi-structured interviews with key experts. Applying judgmental and snowball methods, interviews went on (with 19 experts) until theoretical saturation of data was achieved. The six-step process of theme analysis was used to analyze the data. Findings: Effective factors on the business model dynamics include 624 codes, 64 basic themes, 15 sub-organizing themes and 5 main organizing themes. These 5 main organizing themes comprise of such factors as target market, resources, financial processes, marketing mix and stakeholders. Originality: The results of this research may help identify new conceptual elements and an innovative framework for business model dynamics so that start-ups can overcome the challenges and limitations imposed by the Covid-19 pandemic. Thus, a new perspective will be provided for companies, planners and policymakers.

Keywords

• factors affecting business model dynamics in knowledge-based startups regarding covid-19 pandemic