Integrated Data-Driven Technique in Multi-Criteria Decision-Making Models for the Sustained and Inclusive Work Environment

Technology-driven societal changes, globalization changes, and the COVID -19 pandemic are reshaping the work environment and challenging the enterprises to achieve a decent work environment. The enterprises try to enhance the survival rate by providing sustained and inclusive work environment for their workers. Numerous enterprises have attempted to disclose some strategies and indicators of decent work with regard their social sustainability in social responsibility report (CSR) or corporate sustainability report (CSR). This is coined with the UN Sustainable Development Goal 8 (SDG 8). However, the scope of social sustainability is broad, and some indicators are qualitative and quantitative. In this study, a digital social sustainability systematic method has been developed for enterprises that can disclose indicators of decent work for social sustainability. A data driven technique integrated with the multi-criteria decision-making methods (DEMATEL and TOPSIS) is used to explore these strategies and indicators. More than 525 CSR reports have been studied to find the influencing and influenced indicators of social sustainability. Overall, the systematic framework is effective for enterprises to measure their indicators of decent work for social sustainability.