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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67152
Volume:
10 |
9 |
Sep 2026
Pages:
1-8
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of civil engineering
VIKRANT UNIVERSITY, GWALIOR
Department of civil engineering
VIKRANT UNIVERSITY, GWALIOR
The construction industry plays a significant role in economic development and employment generation; however, it has historically experienced lower productivity growth compared with many other industries. The adoption of digital technologies such as Building Information Modelling (BIM), artificial intelligence (AI), Internet of Things (IoT), cloud computing, drones, digital twins, and construction management software offers considerable potential to improve productivity, project coordination, cost control, safety, and decision-making. Despite these benefits, the construction sector has been relatively slow to adopt and integrate digital technologies. This research examines the major barriers that restrict the adoption of digital technologies in construction and evaluates their impact on construction productivity. The barriers considered include high initial investment costs, lack of skilled personnel, resistance to organisational change, inadequate digital infrastructure, interoperability issues, cybersecurity concerns, lack of management support, limited awareness of technological benefits, and fragmented project structures. The study proposes that these barriers can reduce the effective utilisation of digital technologies and consequently affect project cost, schedule, quality, resource utilisation, and overall productivity. The paper also discusses strategies for overcoming these barriers through training, organisational support, standardisation, government initiatives, technology investment, and improved collaboration among construction stakeholders.
KEYWORDS
Digital transformation provides an important opportunity for improving construction productivity. Technologies such as BIM, AI, IoT, drones, cloud computing, digital twins, and automation can improve information management, communication, coordination, resource utilisation, and decision-making. However, the successful implementation of these technologies is constrained by several barriers. Financial limitations, lack of skilled workers, resistance to organisational change, inadequate infrastructure, interoperability issues, cybersecurity concerns, fragmented project structures, and unclear returns on investment can prevent construction organisations from achieving the full benefits of digitalisation. Therefore, improving construction productivity through digital technology requires more than purchasing new software or equipment. Organisations need a comprehensive approach involving management commitment, employee training, appropriate infrastructure, standardisation, collaboration, cybersecurity, and continuous evaluation of technology investments. Overcoming these barriers can enable construction organisations to use digital technologies more effectively and achieve improvements in productivity, cost, time, quality, safety, and overall project performance.
· McKinsey & Company — research on construction productivity and digital transformation · World Economic Forum — reports on the future of construction · International Organization for Standardization (ISO) — BIM and information-management standards · National Institute of Building Sciences — BIM and digital construction resources · Autodesk — construction technology research · Dodge Construction Network — construction technology adoption research · Academic journals such as Automation in Construction, Journal of Construction Engineering and Management, Engineering, Construction and Architectural Management, and Construction
Publication Date
9/9/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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