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  5. Key Adoption Factors for Collaborative Technologies and Barriers to Information Management in Construction Supply Chains: A System Dynamics Approach

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Article
en
2022

Key Adoption Factors for Collaborative Technologies and Barriers to Information Management in Construction Supply Chains: A System Dynamics Approach

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0 Files

en
2022
Vol 12 (6)
Vol. 12
DOI: 10.3390/buildings12060766

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Muwaffaq Alqurashi
Muwaffaq Alqurashi

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Fawad Amin
Khurram Iqbal Ahmad Khan
Fahim Ullah
+2 more

Abstract

Construction processes are complex and dynamic. Like its other components, the construction supply chain (CSC) involves multiple stakeholders requiring varying levels of information sharing. In addition, the intensity and diversity of information in CSCs require dexterous management. Studies reveal that information complexity can be reduced using collaborative technologies (CTs). However, the barriers to information management (IM) hinder the CTs’ adoption process and cause complexity in CSCs. This research identifies barriers to IM and factors affecting the adoption of CTs in developing countries. In order to understand and address complexity, the system dynamics (SD) approach is adopted in this study. The aim is to investigate if SD can reduce information complexity using CTs. Causal loop diagrams (CLDs) were developed to understand the relationship between the IM barriers and CT adoption factors. The SD model, when simulated, highlighted three main components, i.e., complexity, top management support, and trust and cooperation, among others, as factors affecting the adoption of CTs. Addressing these factors will reduce information complexity and result in better IM in construction projects.

How to cite this publication

Fawad Amin, Khurram Iqbal Ahmad Khan, Fahim Ullah, Muwaffaq Alqurashi, Badr T. Alsulami (2022). Key Adoption Factors for Collaborative Technologies and Barriers to Information Management in Construction Supply Chains: A System Dynamics Approach. , 12(6), DOI: https://doi.org/10.3390/buildings12060766.

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Publication Details

Type

Article

Year

2022

Authors

5

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.3390/buildings12060766

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