A Framework for Smart Building Technologies Implementation in the Ghanaian Construction Industry: A PLS-SEM Approach

Journal article


Ghansah, F., Owusu-Manu, D.-G, Edwards, D.J and Thwala, W.D (2023). A Framework for Smart Building Technologies Implementation in the Ghanaian Construction Industry: A PLS-SEM Approach. Building Research & Information. https://doi.org/10.1080/09613218.2023.2248294
AuthorsGhansah, F., Owusu-Manu, D.-G, Edwards, D.J and Thwala, W.D
Abstract

This study sought to identify the dimensions and the significant critical factors capable of enhancing Smart Building Technologies' (SBTs') implementation for smart building projects in developing countries. A desk literature review is first conducted to identify and categorize the potential factors. It is further analyzed using partial least square structural equation modelling (PLS-SEM) based on 227 valid data from experts in Ghana. The study revealed four underlying dimensions (i.e., ‘processes and control'[PC], ‘people and skills'[PS], ‘methods and techniques'[MT], and ‘knowledge sharing'[KS]) consisting 14 significant critical factors capable of enhancing SBTs implementation for smart building projects, with the top three comprising ‘appropriate procedures/practices for managing smart building projects (MT3)', ‘appropriate tools/techniques to guide smart building projects to their delivery (MT2)', and ‘skills and experience required to pick project team members for smart building projects (PS1)’. Further analysis with PLS-SEM revealed a significant positive effect of the four underlying dimensions and their positive interrelationships toward framework development. Besides the unique contribution of this study to the knowledge body, it also provides project managers and a construction design team with a structured knowledge of the skills, expertise, attitudes, decision-making, processes, control mechanisms, and effective delivery of smart building projects in developing countries.

KeywordsIntelligent buildings, partial least squares-structural equation modelling, smart building technologies, smart building
Year2023
JournalBuilding Research & Information
PublisherTaylor & Francis
ISSN1466-4321
Digital Object Identifier (DOI)https://doi.org/10.1080/09613218.2023.2248294
Publication dates
Print28 Aug 2023
Publication process dates
Accepted09 Aug 2023
Deposited19 Jan 2024
Accepted author manuscript
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File Access Level
Open
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