**2.2 MICMAC analysis**

The creation of a graph that classifies factors based on driving and dependency power is a part of the MICMAC study. To arrive at the study's findings and conclusions, MICMAC analysis is used to identify the factors and validate the interpretive structural model factors.

Factors are divided into four clusters based on their driving power and dependency power in MICMAC analysis. The clusters are: Cluster I: Autonomous factors —those that are relatively cut off from the rest of the system and have little or no dependency on others; Cluster II: Dependent factors—cluster II factors are primarily dependent of other factors; Cluster III: Linkage factors—the connecting factors that are unstable and have strong driving power and strong dependence power; and Cluster IV: Independent factors—these factors have weak influence from others factors and have to be paid maximum attention owing to the strong driving power.
