Modelling the factors of technological innovation in the healthcare sector: A fuzzy-TISM-MICMAC approach

Abstract

ABSTRACT Healthcare (HC) sector has witnessed the growing proliferation of technological innovation to enhance the quality of life, increased life expectancy, diagnostic options, and cost-effectiveness of HC services. Therefore, the present study aims to identify and analyse the critical factors of technological innovations catering to HC service delivery. The study has implemented fuzzy-total interpretive structural modelling (F-TISM) approach to develop hierarchical inter-relationships among the identified factors. Matrice d’impacts croisés multiplication appliquée á un classment (MICMAC) analysis is implemented to classify factors into autonomous, dependent, linkage, and independent groups. The findings of the study placed all the factors of technological innovation in the HC sector at six levels of the developed hierarchical F-TISM model. The factors at the bottom levels are independent variables, which lead to the top-level dependent variables and in the middle of the hierarchical structure are the linkage variables. The most influential factors in the F-TISM model are public-private partnerships, integrated HC information systems, health 4.0 in HC services, organizational culture, and consumer demand. The study distinctly highlighted the importance of HC innovation achieved through the strong foundations laid down by organizational culture and the prolonged need of consumers bridged through integrated HC systems and state-of-the-art technological advancements.