Development of Effective Communication Framework Using Confirmatory Factor Analysis Technique

Thahomina Jahan Nipa, Sharareh Kermanshachi, Shirin Kamalirad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

Primary stakeholders (owner, consultant, and contractor) are commonly subject to challenges associated with internal miscommunication. Inaccurate transmission of data may cause major project delays and cost overruns. As it was found that few researchers have focused on prediction and analysis of designers' effective communication indicators (DECI) in construction projects, this study aims at determination of DECIs in construction projects. For this purpose, a survey containing 52 questions corresponding to potential effective communication indicators was developed and distributed among experienced designers. Based on survey responses and implemented statistical tools, DECIs were identified. Confirmatory factor analysis technique was then utilized to determine major components of DECI. Results revealed that principal components of DECI are design and technology, scope clarity, technical and financial support, facility, experience issues, and decision-making issues. This study assists practitioners make proactive plan to utilize project resources properly in order to manage internal miscommunication.

Original languageEnglish (US)
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)
Pages580-588
Number of pages9
ISBN (Electronic)9780784482438
StatePublished - 2019
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
Period6/17/196/19/19

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Civil and Structural Engineering

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