WITHDRAWN: Factors influencing construction technology adoption in residential projects at Vietnam

Abstract

Globally, construction firms have adopted construction technologies (CT) which have emerged as powerful tools that can be used to work more efficiently. Historically, Vietnam’s construction has failed to adopt CT in comparison to other countries with similar Gross Domestic Product (GDP) per capita, which has resulted in lower productivity. Objectively, this research is threefold: (1) To review the studies to date in CT adoption and identify the challenges reported by authors in previous studies (2) To critically analyze the adoption of CT in construction projects in Vietnam and (3) To propose data driven solutions to facilitate the adoption of CT in Vietnamese construction projects and countries with similar GDP per capita. A comprehensive literature review was conducted and a total of 215 articles were shortlisted for the study. Using the information from previous studies and experts in the construction industry, a questionnaire was designed, and a survey was carried out in Vietnamese construction industry to identify the extent of adoption of CT tools, barriers, drivers, and the most popular CT tools. Autodesk, Microsoft Office and Primavera were the top three CT tools. (1) Unknown impact on productivity, (2) Late implementation of software in construction projects, (3) Lack of understanding on importance and needs in construction industry (4) Lack of funds during budget planning for technological advances and implementation (5) Lack of experts required for technological change and insufficient skills in the industry were identified as the most influential factors in Vietnamese context. From the study made, the authors have provided data driven solutions that can be implemented in Vietnam and all countries facing similar challenges in adoption of CT. Previous studies have not successfully been able to provide important and realistic solutions that can improve the adoption of CT. This study adds to the body of knowledge by identifying the barriers which keep evolving over time. Lastly, to propose data driven solutions that can push the boundaries of CT adoption in construction industry worldwide.