Evidence map›Paper›PMID 39572581›Full record

ArticleScientific reports2024

Internet of things (IoT) for safety and efficiency in construction building site operations.

Abdul Mateen Khan, Khaled A Alrasheed, Ahsan Waqar, Hamad Almujibah, Omrane Benjeddou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

5 authors.

Abdul Mateen KhanDepartment of Civil Engineering, International Islamic University, Islamabad, 44000, Pakistan. abdulmateen.msce28@iiu.edu.pk.
Khaled A AlrasheedCollege of Engineering and Petroleum, Kuwait University, Kuwait City, Kuwait.
Ahsan WaqarUniversity of Lahore, Gujrat Campus, Jalalpur Jattan Road, Gujrat, Punjab, 50700, Pakistan.
Hamad AlmujibahDepartment of Civil Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif City, 21974, Saudi Arabia.
Omrane BenjeddouDepartment of Civil Engineering, College of Engineering, Prince Sattam bin Abdulaziz University, Alkharj, 16273, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Internet of Things (IoT) technologies present transformative opportunities through connectivity of intelligent devices, environmental sensors, and integrated management systems. This study aims to investigate the benefits and impact of IoT implementation on construction sites by analyzing relationships between key factors and outcomes for safety and efficiency. Hypotheses were developed proposing positive correlations between each factor and effective IoT adoption on construction sites. Structural equation modeling analysis on survey data from construction professionals and site reports strongly validated the research hypotheses. Positive path coefficients and high statistical significance confirmed environmental monitoring (0.38), equipment management (0.343), predictive analytics and maintenance (0.222) and safety monitoring (0.369) as crucial enablers for successful IoT integration leading to safer and more productive construction operations. The findings highlight imperative focus areas and provide actionable insights for construction stakeholders on strategies to effectively leverage IoT capabilities.

Indexed as

Environmental monitoringEquipment managementPredictive analytics and maintenanceSafety monitoring

Identifiers

PMID39572581
PMCPMC11582823

What OpenQuestion holds

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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.