Abstract

Building Information Modeling (BIM) is an integrated and comprehensive system for all that related to the construction project, which includes a set of effective policies, procedures, and computer applications that increase the performance of the project during its life cycle. The objective of this research develops a clear concept about the BIM adoption in Iraq through investigating potential benefits that can be obtained through its application in construction projects also build a measurement model for these benefits. The research methodology was based on quantitative approach which adopted by conducting a questionnaire directed to professionals in the field of construction projects in the public and private sectors supported by personal interviews with respondents either individually or in groups. Three hundred copies of the forms were distributed to the companies, firms and engineering departments of the various ministries of the state. After the data was obtained, two software (SPSS and SmartPLS) was used for analyzing the data and constructing the measurement model. The results showed of all the benefits constructed within three key components. The first is knowledge support for management in term of (costs, data, processes), the second is effective design performance and the third is effective construction performance and all these components were modeled as a measurement model.

Highlights

  • The construction industry has witnessed a paradigm shift that will achieve the highest productivity, efficiency, quality, sustainability, and the value of infrastructure and reduce the costs of the life cycle as well reduce time [1]

  • For the items allocated to measure the potential benefits of building information modeling (BIM) which is 24 items, The Exploratory Factor Analysis (EFA) will show the structure under which these items are grouped into certain factors

  • Convergent validity has been assessed by three basic criteria as previously mentioned to these criteria are .Factor loading As shown in Figure 7, which represents the results of the PLS algorithm for BIM potential Benefits model the loading factor values ranged between 0.631 and 0.819, 18 from 24 indicators loaded above 0.7 and the remaining six are within the range (0.4-0.7) and there is no unacceptance factor loading (0.4) .As [38] indicated that the value of Composite Reliability (CR) and Average Variance Extracted (AVE) should be checked if it is below the required limits for indicating the effect of deleting (0.4-0.7) factor loading of the factors on them if they are less than required

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Summary

Introduction

The construction industry has witnessed a paradigm shift that will achieve the highest productivity, efficiency, quality, sustainability, and the value of infrastructure and reduce the costs of the life cycle as well reduce time [1]. BIM is an advanced process and tool consisting of a combination of virtual aspects, systems and concepts facilitated within a unified environment [5] It includes the application and keeps of integrated digital representation of different information across different project stages [6] .There are many BIM applications[7] which can be used to support. For the implementation of BIM, this requires good planning and a coordinated approach with considerations for implementation and innovation management [13]

Research Background
Research Methodology
Third stage
Literature review
B24 Enhanced location logistics plans and better site equipment management
Stage Two
Collinearity issues
Outer weights
EFA Analysis
Communalities
Factors Extracting
Explanation of Factors
Convergent Validity
Discriminant Validity
Conclusions
Full Text
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