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Abstract
Many studies have been conducted to define the critical success factors (CSFs) for off-site construction (OSC) activation, but there has been a lack of identification of the relationship with the identified CSFs. However, it is necessary to clearly identify the hierarchy and relationships with the success factors in order to develop specific strategies for OSC activation. This work presents a study that was conducted to identify the CSFs for OSCs and establish the relationships of the identified CSFs for OSC. First, 20 CSFs for OSCs were identified through prior study reviews related to CSFs for OSC. Next, the interpretive structural modeling (ISM), which has advantages in developing an understanding of complex relationships, was leveraged in order to analyze the relationships between 20 CSFs for OSC to derive a hierarchical model consisting of seven levels. The CSFs for OSC were classified into four groups using MICMAC analysis, which is useful for classifying factors by the strength of the relationship with factors based on driving power and dependence power. This proposed model can be used as a basis for developing management measures for OSC project success.
Highlights
Many studies have been conducted to define the critical success factors (CSFs) for off-site construction (OSC) activation, but there has been a lack of identification of the relationship with the identified CSFs
The matrix of cross-impact multiplication applied to classification (MICMAC) analysis is a methodology for classifying factors into four groups and deriving implications using the driving power and dependance power calculated during the interpretive structural modeling (ISM) process
A variety of studies have identified factors related to the success of OSC
Summary
Many studies have been conducted to define the critical success factors (CSFs) for off-site construction (OSC) activation, but there has been a lack of identification of the relationship with the identified CSFs. The CSFs for OSC were classified into four groups using MICMAC analysis, which is useful for classifying factors by the strength of the relationship with factors based on driving power and dependence power. This proposed model can be used as a basis for developing management measures for OSC project success. A construction system is based on field labor, by which most of the raw materials and production materials are transported to the building site and are used for construction with the assistance of necessary equipment These systems are less and less productive due to factors that deteriorate the industrial environment such as increasing project and site complexities [1], insufficiently skilled labor at frontline and supervisory levels, the poor safety of construction workers [2], and cost escalation and time overrun considerations [3]. OSC is being actively applied to various construction projects such as schools, hospitals, factories, hotels, offices, and residential housing
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