This study examined the role of productivity enhancement (PE), innovation adoption (IA), and policy and institutional support (PIS) in driving inclusive growth (IG) through the mediating effects of inclusive participation (IP) and economic empowerment (EE) within the Madhya Pradesh manufacturing sector. The research addressed the need to understand how organizational stimuli translate into equitable economic outcomes in rapidly evolving industrial ecosystems. Data were collected from 100 entrepreneurs representing auto, pharmaceutical, and FMCG manufacturing firms using a seven- point Likert scale. PLS-SEM (Partial Least Squares Structural Equation Modeling) (PLS-SEM) was employed for reliability, validity, and hypothesis testing. Results revealed that PE and PIS had the strongest influence on IP and EE, which in turn significantly predicted IG. The study contributes by empirically validating the SOR framework in a manufacturing context and offering actionable insights for policymakers and managers to design strategies that foster both productivity and inclusivity.
Rathore et al. (Sun,) studied this question.
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