Evidence map›Paper›PMID 38384510›Full record

ArticleHeliyon2024

Awareness, adoption readiness and challenges of railway 4.0 technologies in a developing economy.

Imoleayo A Awodele, Modupe C Mewomo, Angel M Gento Municio, Albert P C Chan, Amos Darko, Ridwan Taiwo, Nathaniel A Olatunde, Emmanuel C Eze, Oluwaseyi A Awodele

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. 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
3.8field-weighted citation impact, top 7% of its field
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, 11 citations in OpenAlex.

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

9 authors at 7 institutions in 6 countries.

Imoleayo A AwodeleConstruction Management and Quantity Surveying Department, Durban University of Technology, Durban, 4001, South Africa.
Modupe C MewomoConstruction Management and Quantity Surveying Department, Durban University of Technology, Durban, 4001, South Africa.
Angel M Gento MunicioOrganizacion de Empresas y CIM, University of Valladolid, Spain.
Albert P C ChanDepartment of Building and Real Estate, Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Amos DarkoDepartment of Construction Management, University of Washington Seattle, WA, USA.
Ridwan TaiwoDepartment of Building and Real Estate, Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Nathaniel A OlatundeDepartment of Quantity Surveying, Federal University Oye-Ekiti, Ekiti State, Nigeria.
Emmanuel C EzeArchitecture and Built Environment, Northumbria University Newcastle, United Kingdom.
Oluwaseyi A AwodeleDepartment of Quantity Surveying, Federal University of Technology Akure, 340110, Nigeria.
Durban University of Technology · ZAHong Kong Polytechnic University · HKFederal University of Technology · NGFederal University Oye Ekiti · NGNorthumbria University · GBUniversidad de Valladolid · ESUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The railway industry has witnessed increasing adoption of digital technologies, known as Railway 4.0, that is revolutionizing operations, infrastructure, and transportation systems. However, developing countries face challenges in keeping pace with these technological advancements. With limited research on Railway 4.0 adoption in developing countries, this study was motivated to investigate the awareness, readiness, and challenges faced by railway professionals towards implementing Railway 4.0 technologies. The aim was to assess the level of awareness and preparedness and identify the key challenges influencing Railway 4.0 adoption in Nigeria's railway construction industry. A questionnaire survey (was distributed to professionals in the railway construction sector to gather their perspectives on awareness of, preparation for, and challenges associated with the use of Railway 4.0 technologies. The results revealed that awareness of Railway 4.0 technologies was moderate, while readiness was low among the professionals. Using exploratory factor analysis, 10 underlying challenge constructs were identified including lack of technical know-how, resistance to change, infrastructure limitations, and uncertainty about benefits, amongst others. Partial Least Square Structural Equation Modelling (PLS-SEM) confirmed these constructs, with reliability and availability, lack of technical know-how, lack of training and resources, and uncertainties in benefit and gains having significant influence on awareness and readiness. The study concludes that focused efforts in training, infrastructure improvement, supportive policies, and communicating the advantages of Railway 4.0 are critical to drive adoption in Nigeria and other developing economies. The findings provide insights into tailoring Railway 4.0 implementation strategies for developing contexts.

Indexed as

AwarenessChallengesRailway 4.0ReadinessTechnologies

Identifiers

PMID38384510
PMCPMC10878949
OpenAlexW4391755971

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.