Application of total interpretive structural modeling (TISM) for analysis of barriers influencing healthcare waste management sector: A case study
Abhishek Raj, Cherian Samuel
Abstract
The present study aims to build a structural model based on Total interpretive structural modeling (TISM) to analyze barriers affecting healthcare waste management (HCWM). Through scanning of literature and expert opinion, a total of fifteen barriers are recognized. Inputs acquired from the professionals in the field are used to develop the TISM model, and Cross impact matrix multiplication is applied to classification investigation to sort out the factors. From the TISM model, five barriers are identified as drivers. We identified two of these five barriers: ‘No support from top authorities’ and ‘No support from the government.’ MICMAC analysis classifies four barriers as dependent, five as driving, and the remaining six as linkages. The author's original contribution is to develop a model to analyze barriers influencing HCWM. This paper helps to complete the research gap by providing the different characteristics of barriers. This study clarifies that good coordination of hospitals with other authorities is necessary to properly implement healthcare waste management services. Government support will also play a vital role, and the Involvement of top management of hospitals is required to organize everything properly. Case studies and structural equation modeling (SEM) can be applied to explain further and support the findings.