To study the relevant factors affecting corporate financial fraud and interaction between factors, this paper extracts 19 from 5 aspects. Then it divides hierarchy using interpretative structural modeling (ISM) respectively to clarify logical relationships calculate values of dependency driving force jointly with Fuzzy MICMAC (MICMAC) categorize indicators fraud. We found that: 6 indicators, su...

Purpose This paper aims to identify and model the key barriers implementation of project-based learning (PjBL) in higher educational institution. Design/methodology/approach Using interpretive structural modelling (ISM) technique, study has developed a hierarchical-based model, depicting mutual relationships amongst PjBL. Additionally, performed Matrice d’ Impacts Croises Multiplication Appliqu...

The financing issue is increasingly becoming a key problem for brownfield remediation in public land ownership, and Public Private Partnership (PPP) mode considered potentially effective solution. However, some barriers impede the utilization of PPP into projects situation ownership. By taking China as an example, study investigates when used to deal with dilemmas. Specifically, 39 original are...

In recent years, the fire safety problems in self-build housing China’s vast rural areas have become increasingly prominent. We analyzed interaction of causative factors and logical structure accidents (SBHFAs) to find their key causes reduce occurrence. Using 24Model, 30 SBHFA investigation reports were analyzed, 44 97 causal relationship codes obtained. The causality centrality degree using d...

Use of interpretative structural modeling (ISM) is inspired by the versatility displayed by this method, as reported by researchers, across a wide spectrum of economic and competitive complexities affecting businesses. The aim of this paper is to develop and analyze the relationship among the identified various functional /technical objectives (criteria's) of assembly line balancing proble...

This research integrates systemic and participatory techniques to model the Russian Federation construction innovation system. Understanding this complex construction innovation system and determining the best levers for enhancing it require the dynamic modelling of a number of factors, such as flows of resources and activities, policies, uncertainty and time. To build the foundations for such ...