Research Paper
Article citation: Responsible flexibility in the generative artificial intelligence adoption: Integration of dynamic capabilities and ethical governance. (2026). [Journal Name], 27, 263–283. https://doi.org/10.1007/s40171-026-00503-0
Abstract
The rapid proliferation of Generative Artificial Intelligence (GenAI) creates a strategic paradox of managing the trade-off between leveraging emerging technologies and simultaneously adhering to rigorous ethical governance. This paper examines the concept of responsible flexibility as a strategic response for organizations navigating the dual pressures of technological agility and social responsibility in the digital age. This study investigates how firms balance adaptability with accountability across diverse sectors and proposes a Responsible AI Flexibility Framework (RAIFF). Using a multiple case study design of Indian companies, the analysis identifies how organizations position themselves along the responsibility–agility continuum. Findings highlight four patterns: responsible frontrunners, agile but fragile actors, cautious adapters, and balanced innovators. The results demonstrate that responsible flexibility is not merely a compliance imperative but a core competence and source of resilience, shaping competitive advantage in AI-driven contexts. The paper contributes to the literature on responsible innovation and digital transformation by offering empirical insights, a conceptual framework, and practical guidance for managers and policymakers.