Economic feasibility and cost–benefit analysis of additive manufacturing in public sector production

Purpose: The purpose of the study is to examine the economic sustainability and cost-benefit results of implementing the technologies of Additive Manufacturing (AM) into the production systems of large-scale enterprises in Indian state factories, which is under-researched in the current literature. Design/methodology/approach: It was developed on the basis of a quantitative research design with the help of a stratified random sampling model, where 397 respondents, who represent both managerial and operational positions, were asked. The data were collected using a five-point Likert-scale questionnaire, and reliability analysis was performed to prove a high internal consistency of the questionnaires (Economic Feasibility α = 0.89; Cost-Benefit Perception α = 0.91). The analysis used multivariate tests to test the demographic and organizational factors on the perceived feasibility and regression analysis to measure the relationship between perceived economic viability and projected cost benefit realization. Results: The analysis shows that there is very little effect of gender and age on the perceptions about AM adoption. But organizational designation, especially managerial position, can be a strong influence of expectations on the changes in product quality and operation efficiency. The theoretical basis of the findings lies in Technology Organization Environment framework and Resource based view, which offer the strategic significance of economic viability in technology adoption in the public sector. Research Implications: The study has implications on the literature by providing empirical evidence on the economic and organizational aspects of AM adoption in the government sector manufacturing that adds to the theoretical debate on integration of technology in emerging economies. Practical and Social Implications: AM integration is viewed as cost-effective, operationally and strategically advantageous, although there are fears of initial investments and compliance with regulations. The results offer practical lessons to the policymakers and industry leaders to develop investment strategies, training and regulatory frameworks that can expedite the adoption of AM.