
This dataset comprises the perceived most challenging operations in the garment industry and the occupational discomfort faced by the workers. Collected through participant surveys, the dataset encompasses demographic information and work related parameters. The primary objective of this dataset is to identify and analyse the prevalence of MSDs in the most challenging operation in the garment industry. Researchers, ergonomists, and occupational health professionals can leverage this dataset to explore further for mitigating MSD risks in the industry. This dataset can be used for finding the Ergonomic interventions and workplace improvements. It can facilitate specific interventions for solving work related diseases among the garment workers. Anyone can use this dataset with proper citation. Note: This dataset adheres to ethical considerations, and participant information is anonymized to ensure confidentiality.
Ergonomics
Ergonomics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
