Background: Telemedicine is not significantly spreading globally and large variations in its availability use exist internationally. Although many factors already inhibit the dissemination of telemedicine, complexly intertwined make it more difficult to solve this problem. This study aimed analyze visualize relationships among inhibiting telemedicine. We applied interpretive structural modeling...

Manufacturing organisations adopt various kinds of green interventions to make their operations more environment friendly. However not all have a similar impact on enhancing the environmental efficiency supply networks. The present study aims identify most effective for chain management (GSCM) using interpretive structural modelling (ISM) technique. GSCM includes implementation enhance viabilit...

Agent-based modeling has proven to be particularly effective for fine-grain social modeling. However, so far, the modeling of social agents has not involved dynamics based on interpretive interaction. Meaning or interpretation plays a significant role in human interactions. These micro effects might create interesting effects on aggregate dynamics. The goal of the Interpretive Agent (IA) projec...

Interpretive structural modeling (ISM) is widely used to understand the complex connections between different components. This study presents a bibliometric overview of ISM research, with focus on its linkages Sustainable Development Goals (SDGs) and impact COVID-19. The analyzed 1988 publications published 2012 2021, which 1202 were directly mapped SDGs 59 related identified key authors, insti...

The main purpose of this paper is to present a fuzzy multi-criteria decision making (FMADM) model for appropriate location selection of a health center. Therefore, we identify sixteen criteria and sub-criteria for selecting a health center location. These criteria and sub-criteria have been obtained from literature reviews and practical interviews. This paper proposes a method which combines th...