Digital Agility and Business Resilience: Exploration through Rough Set Theory

The study seeks to identify key enablers of digital agility using a mathematical approach. Drawing on the dynamic capabilities theory, it aims to develop a comprehensive business resilience model that captures the key drivers of digital agility influencing the resilience stages on a robust decision framework in the post-pandemic period. Using snowball referral sampling, two structured questionnaires were administered to 438 educators and 327 directors/business managers of EdTech companies. The study applied an integrated approach by combining rough set theory (RST) and formal concept analysis (FCA) to analyse the data and test the model's accuracy in identifying the essential factors contributing to digital agility and business resilience. It was found that the rough set theory (RST) combined with formal concept analysis (FCA) can be a valuable tool for enhancing the effectiveness of the digital agility framework for business resilience. Furthermore, digital leadership from employee-specific enablers, digital innovation capability, and organisational mindfulness from organisation-specific enablers were the critical driving factors for digital agility impacting the four stages of resilience, e.g. sense, adapt, thrive and transform in the post-COVID period. The study offers a well-defined framework embodying key drivers that would help business leaders implement relevant intervention strategies and navigate their operations toward a transformed business model during the uncertain period.