This study aims to examine the key factors influencing robotics adoption in business-to-business Indian electronics and automotive manufacturing firms. It highlights how technological, organisational and environmental dimensions interact to shape adoption decisions in India’s manufacturing sector.
The research draws on a systematic literature review, bibliometric cluster analysis, industry case studies and expert interviews. Using a deductive approach, the analytic hierarchy process was applied to rank key decision criteria through expert pairwise comparisons.
Leadership and Vision, Support Infrastructure and Market Dynamics emerged as crucial factors for successful robotics integration. The research also highlights the importance of policy incentives, skills development and regional infrastructure in fostering a supportive environment for adoption.
Although the framework offers structured insights, future research should use structural equation modelling to investigate causal relationships among key variables and explore additional influencing factors. Multi-criteria methods, such as Technique for Order of Preference by Similarity to Ideal Solution, can help prioritise adoption drivers across sectors and regions for more tailored strategies.
The findings suggest that firms should prioritise leadership, digital infrastructure and workforce upskilling. Policymakers should offer targeted incentives and strengthen regulatory support to promote the adoption of robotics in India’s electronics and automotive manufacturing sectors.
This study provides a comprehensive, context-specific framework for evaluating critical factors in robotics adoption within Indian firms, contributing to understanding decision-making processes in Industry 4.0. As India progresses economically, it is poised for robotic integration, setting the stage for Industry 5.0.
