Building safe organisations: using machine learning to decode safety habits of blue-collar workers in the construction industry Cover

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Building safe organisations: using machine learning to decode safety habits of blue-collar workers in the construction industry

Engineering Management in Production and Services

Volume 18 (2026): Issue 1 (March 2026)

By: Arpit Singh , Ashish Dwivedi , Malini Mittal Bishnoi , Swamynathan Ramakrishnan , Dragan Pamucar and Anchal Patil

Open Access

|Apr 2026

Authors

Arpit Singh

asingh6@jgu.edu.in

Jindal Global Business School, O.P. Jindal Global University, Sonipat, India

Ashish Dwivedi

adwivedi@jgu.edu.in

Jindal Global Business School, O.P. Jindal Global University, Sonipat Narela, Near Jagdishpur Village, Sonipat, India

Malini Mittal Bishnoi

mbishnoi@amityuniversity.ae

School of Humanities Arts and Applied Sciences, Amity University Dubai, Dubai, United Arab Emirates

Swamynathan Ramakrishnan

sramakrishnan@amityuniversity.ae

Amity Business School, Amity University Dubai, Dubai, United Arab Emirates

Dragan Pamucar

pamucar.dragan@sze.hu

Széchenyi István University, Győr, Hungary

Anchal Patil

anchal.patil@imi.edu

IMI Delhi, B-10, Qutab Institutional Area, New Delhi, India

DOI: https://doi.org/10.2478/emj-2026-0004 | Journal eISSN: 2543-912X | Journal ISSN: 2543-6597

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Language: English

Page range: 42 - 59

Submitted on: Jul 1, 2025

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Accepted on: Dec 15, 2025

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Published on: Apr 2, 2026

Published by: Bialystok University of Technology

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

occupational health,

machine learning (ML),

construction industry

Related subjects:

Business and economics,

Business management,

Transportation, logistics, air traffic, shipping,

Mechanical engineering,

Production technology,

Process engineering and industrial engineering

© 2026 Arpit Singh, Ashish Dwivedi, Malini Mittal Bishnoi, Swamynathan Ramakrishnan, Dragan Pamucar, Anchal Patil, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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