The Effect of Lean-Green-Six Sigma Practices on Organizational Performance: A Machine Learning Approach

With the advent of Industry 4.0, more emphasis is currently being placed on the adoption of digital technologies in all areas. The current study investigates the effect of Lean-Green-Six Sigma practices on organizational performances (i.e. Operational and Financial) in relation to developing nations. A cross-sectional data set was gathered from 120 Indian manufacturing companies, and machine learning techniques were used for data analysis and result interpretation. This study gives an enhanced comprehension of ML advances in embracing Lean-Green-Six Sigma rehearses. The results show that Lean-Green-Six Sigma rehearses emphatically influence the operational and financial performance of the organizations as the adjusted R square value of 70.6 and 68.2% with P values (≤ 0.05) satisfy the hypothesis. The results likewise offer a strategy structure for supervisors, policymakers, and makers to advance Lean-Green-Six Sigma rehearses in organizations. Although a few late studies have attempted to research the force of LGSS rehearses on maintainability execution, be that as it may, not many examinations have dissected the impact of LGSS through the reception of the ML approach with regard to arising economies.