PurposeEnvironmental sustainability in health care is an important issue due to the limited available healthcare resources and increase in demand. For instance, organ recycling and transplantation may reduce the increasing pressure on healthcare resources. The purpose of this paper is to set out to identify and interrelate the inhibitors that significantly influence the recycling of human organs and their implications to the environment in developing economies such as India.Design/methodology/approachThe study uses Delphi–ISM–regression, a three-step method, to investigate the possible reasons for the poor supply chain efficiency of organ recycling and to explore the consequence of excessive use of healthcare resources on the environment. The Delphi technique facilitates the identification, synthesis, and prioritization of the inhibitors. Then, using focused group discussion, the interpretive structure modeling (ISM) presents the interaction among the inhibitors into a hierarchy. Further, on the basis of 257 valid responses received on the structured survey instrument, the regression model examines the influence of identified constructs on one of the identified root causes.FindingsThe ISM presents the hierarchy-based model that depicts high driving power and low dependence inhibitors leading to reduced organ recycling rate. “Negative Intentions of family members” toward organ donation t “Willingness to discuss with family” and “Perceived Behavioral Control” emerged as the significant factors influencing organ recycling rate, which adversely impact the environment sustainability.Originality/valueThe patients on the organ waiting list put pressure on the availability of medical resources and, ultimately, on the environment through the consumption of different drugs and disposable of medical wastes. The study suggests policymakers and hospitals improve on the existing policies for an efficient supply chain of human organ recycling. The Indian situation echoes the situation in most of the emerging economies, and similar solutions can apply there too.