Abstract
Industry 6.0 represents the next evolution in industrial transformation, integrating hyper-automation, artificial intelligence (AI), cyber-physical systems (CPS), digital twins, and human-AI collaboration to create intelligent, autonomous, and adaptive ecosystems. This paradigm shift necessitates a new approach to organizational resilience, where businesses must balance technological advancements with social and commercial adaptability to thrive in volatile, uncertain, complex, and ambiguous (VUCA) environments. Traditional resilience models focused primarily on risk mitigation and crisis recovery, but Industry 6.0 requires a proactive framework that embeds resilience into the fabric of digital transformation.
This study explores the concept of socio-techno-commercial adaptiveness, an integrative framework that enhances organizational resilience by fostering adaptability across technological, social, and commercial dimensions. The research aims to identify how businesses can effectively integrate AI-driven automation, decentralized decision-making, and human-machine collaboration to enhance predictive capabilities and crisis response mechanisms. Through an in-depth analysis of existing literature, empirical case studies, and theoretical models such as Socio-Technical Systems (STS) Theory, Dynamic Capabilities Theory (DCT), and Resilience Engineering, this study develops a Resilience-Driven Adaptiveness Framework (RDAF) to guide organizations in navigating Industry 6.0 transformations.
The findings highlight several key challenges organizations face, including AI-human integration complexities, workforce digital readiness, and the need for agile market adaptation strategies. To address these challenges, the study provides strategic recommendations across multiple dimensions, including policy and governance frameworks for AI ethics, workforce upskilling programs, AI-driven predictive analytics, and decentralized decision-making structures. Furthermore, cross-industry collaboration and knowledge-sharing initiatives are emphasized as critical enablers of resilience in digitally evolving economies.
By bridging the gap between theory and practice, this research offers valuable insights for industry leaders, policymakers, and academics seeking to enhance resilience strategies in the age of Industry 6.0. The study also identifies future research directions, including empirical validation of adaptive resilience models, sector-specific resilience frameworks, and ethical implications of AI-driven organizational adaptation. Ultimately, businesses that proactively invest in socio-techno-commercial adaptiveness will not only withstand disruptions but also leverage them as opportunities for innovation, competitive advantage, and long-term sustainability in an increasingly complex digital landscape