Evidence map›Paper›PMID 38404870›Full record

ArticleHeliyon2024

Industrial practitioner's perception on the application of exoskeleton system in automotive assembly industries: A Malaysian case study.

Woun Yoong Gan, Raja Ariffin Raja Ghazilla, Hwa Jen Yap, Suman Selvarajoo

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  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

4 authors at 1 institution in 1 country.

Woun Yoong GanDepartment of Mechanical Engineering, Faculty of Engineering, Centre for Sustainable and Smart Manufacturing (CSSM), University of Malaya, Kuala Lumpur, Malaysia.
Raja Ariffin Raja GhazillaDepartment of Mechanical Engineering, Faculty of Engineering, Centre for Sustainable and Smart Manufacturing (CSSM), University of Malaya, Kuala Lumpur, Malaysia.
Hwa Jen YapDepartment of Mechanical Engineering, Faculty of Engineering, Centre for Sustainable and Smart Manufacturing (CSSM), University of Malaya, Kuala Lumpur, Malaysia.
Suman SelvarajooDepartment of Mechanical Engineering, Faculty of Engineering, Centre for Sustainable and Smart Manufacturing (CSSM), University of Malaya, Kuala Lumpur, Malaysia.
University of Malaya · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The automotive industry is a key manufacturing industry for the Malaysian economy, where manual jobs and task are still common. Hence, Work-related Musculoskeletal Disorders (WMSD) is a common type of injury among workers. Exoskeleton system has gained global traction as a possible solution to reduce the risk of MSD among workers. Nonetheless, the application of exoskeleton in the automotive industry in Malaysia remains unknown. As such, this study attempts to provide insight into the industry's perception on the potential of exoskeleton application within the context of Malaysian automotive assembly sector. Therefore, a total of 52 management level respondents from various manufacturers participated in this study. It is found that, although the technology seems to be relatively new and disruptive, the respondents have a positive perception towards it with an acceptance rate of 86.5%. Cost of implementation exoskeleton technologies seems to be primary concern from the respondents, other concern such as maintenance cost and ease of application into existing application is also highlighted.

Indexed as

Assistive technologiesAutomotive manufacturingDecision makingExoskeletonWearable devices

Identifiers

PMID38404870
PMCPMC10884500
OpenAlexW4391825118

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.