Development of Effective Communication Network in Construction Projects Using Structural Equation Modeling Technique

Elnaz Safapour, Sharareh Kermanshachi, Shirin Kamalirad

Research output: Contribution to book or proceedingConference articlepeer-review

9 Scopus citations

Abstract

Stakeholder management plays a critical role in successfully delivering construction projects; thus, identifying causes of miscommunication within primary stakeholders (owner, designer, and contractor) would be beneficial. Previous studies identifying significant causes of miscommunication have not studied how different causes work together to influence communication within primary stakeholders. Therefore, different appropriate statistical methods were used to identify the effective communication indicators (ECIs) within three primary stakeholders. Factor analysis technique was then utilized to investigate main components associated with ECIs. Structural equation modeling (SEM) was then used to identify the pertinent relationship between the identified main components. For this purpose, 38 completed case study projects were collected. As information related to other aspects of case studies was needed, a structured survey was developed and 38 completed surveys were collected. Thirty ECIs associated with three primary stakeholders were determined significant, which belonging to 20 main components. The results revealed that project target, scope clarity, filed labor, objectives and restrictions, and resource availability were critical components. The outcomes of this study help project managers focus on main effective communication factors to mitigate the risk of project failure because of dispute and conflict.

Original languageEnglish
Title of host publicationComputing in Civil Engineering 2019
Subtitle of host publicationData, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019
EditorsYong K. Cho, Fernanda Leite, Amir Behzadan, Chao Wang
PublisherAmerican Society of Civil Engineers (ASCE)
Pages513-521
Number of pages9
ISBN (Electronic)9780784482438
StatePublished - 2019
Externally publishedYes
EventASCE International Conference on Computing in Civil Engineering 2019: Data, Sensing, and Analytics, i3CE 2019 - Atlanta, United States
Duration: Jun 17 2019Jun 19 2019

Publication series

NameComputing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019

Conference

ConferenceASCE International Conference on Computing in Civil Engineering 2019: Data, Sensing, and Analytics, i3CE 2019
Country/TerritoryUnited States
CityAtlanta
Period06/17/1906/19/19

Scopus Subject Areas

  • General Computer Science
  • Civil and Structural Engineering

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