The role of digital technologies in enhancing construction project management.

Sarfraz Qadir, Aawag Moshen Alawag, Abdullah O Baarimah, Nabeel Zia, Masoud Alajmi, Hamad R Almujibah, Hashem Alyami

Abstract read

In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Sarfraz QadirSchool of computing, Engineering and Built Environment, Glasgow Caledonian University, London Campus, 40 Fashion Street, Spitalfields, London, E1 6PX, UK.

Aawag Moshen AlawagFaculty of Engineering and Information Technology, Taiz University, Taiz, 6803, Yemen. mohsen.alawag@taiz.edu.ye.

Abdullah O BaarimahDepartment of Civil and Construction Engineering, College of Engineering, A'Sharqiyah University, 400, Ibra, Oman.

Nabeel ZiaSchool of computing, Engineering and Built Environment, Glasgow Caledonian University, London Campus, 40 Fashion Street, Spitalfields, London, E1 6PX, UK.

Masoud AlajmiDepartment of Computer Engineering, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia.

Hamad R AlmujibahDepartment of Civil Engineering, College of Engineering, Taif University, P. O. Box 11099, Taif City 21974, Saudi Arabia.

Hashem AlyamiDepartment of Computer Science, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif 21944, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines how digital technologies enhance construction project management in England, addressing the limited empirical evidence on their real-world adoption. While Building Information Modelling (BIM), automation, and the Internet of Things (IoT) are widely discussed, their measurable impact on project performance remains uncertain. Drawing on the Technology-Organization-Environment (TOE) framework and Diffusion of Innovation (DOI) theory, this research introduces a context-specific TOE adaptation that identifies and prioritises adoption drivers for the English construction sector. Using Exploratory Factor Analysis (EFA) and Mean Square Ranking (MSR) of 75 professional responses, the study establishes a hierarchical adoption model linking technological readiness, organisational capability, and environmental regulation to efficiency, safety, and sustainability outcomes. The dual-stage EFA-MSR approach, validated through real-project case studies, provides the first quantitative prioritisation of TOE factors within a developed-economy construction context. The findings offer actionable guidance for policymakers and project managers seeking data-driven strategies to accelerate digital transformation in construction. The study is exploratory in nature because it investigates an underexamined national context, adapting and quantifying TOE constructs for England's construction sector rather than developing new theoretical propositions.

Indexed as

CostDigital technologiesManagementResourceSafety

Identifiers

PMID41361021

DOI10.1038/s41598-025-31955-6

PMCPMC12796221

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.