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Journal of Information and Optimization Sciences cover

Journal of Information and Optimization Sciences

(Since 1980)
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

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Journal of Information and Optimization Sciences
Open Access Research Article

Challenges in the adoption of building information technology (BIM) technology in Indian construction industry (ICI)

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pp. 1577–1593Vol. 44Issue 8November 2023DOI: 10.47974/JIOS-1477XML
Published Online:
13 Jan 2024
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1477
Pages:
1577–1593

Abstract

Aim: This study aims to identify the challenges hindering the adoption of BIM technology in the ICI and provide insights into ways to overcome these challenges. Methodology: A questionnaire using a Likert scale was developed and distributed to 121 participants working for developers in the ICI. Factor analysis was conducted using SPSS 25 to examine the obtained data and identify the primary reasons that impede the adoption of BIM technology. Findings: Factor analysis of the data identified six main factors accounting for 74.31% of the variance. These factors included regulatory framework, lack of expertise, knowledge, and adoption, compatibility issues, resource limitations, and inadequate demand. Originality Value: The research above is unique since it specifically examines the obstacles that are preventing the widespread use of Building Information Modeling (BIM) technology in the building sector in India. While there is existing research on BIM adoption in other countries, there is a lack of comprehensive studies on the specific challenges faced by the Indian construction industry. This study provides insights into the main obstacles to BIM adoption in India and identifies six main factors that have not been extensively studied before. Additionally, the study uses a Likert scale questionnaire and factor analysis to analyze the data, which is a unique approach that has not been widely used in previous research on BIM adoption. Implications: The study’s findings offer valuable insights into the primary barriers hindering the adoption of Building Information Modeling (BIM) in the construction sector of India.. The identified factors can help developers and policymakers in the industry overcome these challenges to improve project efficiency and outcomes. This study can also provide a foundation for future investigations into the adoption of Building Information Modeling (BIM) in India and other emerging economies.. The implications of this study can contribute to the broader understanding of technology adoption in the construction industry, which can lead to better decision-making processes and improved project outcomes.  Limitations and Scope for Future Research: The research has significant drawbacks. First, the study focused on the Indian construction industry and may not apply to other emerging or industrialized nations. Second, the limited sample size may restrict generalizability. The study solely examined BIM adoption barriers and did not provide solutions. Researchers might create techniques to overcome these obstacles and encourage BIM adoption in the Indian building sector. Finally, the research did not consider contractors, architects, and engineers, who may shed light on BIM adoption issues and solutions.

Keywords

Building information modellingTechnologyAdoption

Subject Classifications

32J15

References

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