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Examining workweek variations in computer usage patterns: An application of ergonomic monitoring software
Alternative work arrangements have emerged as potential solutions to enhance productivity and work-life balance. However, accurate and objective measurement of work patterns is essential to make decisions about adjusting work arrangements. This study aimed at evaluating objective computer usage metr...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325041/ https://www.ncbi.nlm.nih.gov/pubmed/37410732 http://dx.doi.org/10.1371/journal.pone.0287976 |
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author | Roh, Taehyun Esomonu, Chukwuemeka Hendricks, Joseph Aggarwal, Anisha Hasan, Nishat Tasnim Benden, Mark |
author_facet | Roh, Taehyun Esomonu, Chukwuemeka Hendricks, Joseph Aggarwal, Anisha Hasan, Nishat Tasnim Benden, Mark |
author_sort | Roh, Taehyun |
collection | PubMed |
description | Alternative work arrangements have emerged as potential solutions to enhance productivity and work-life balance. However, accurate and objective measurement of work patterns is essential to make decisions about adjusting work arrangements. This study aimed at evaluating objective computer usage metrics as a proxy for productivity using RSIGuard, an ergonomics monitoring software. Data were collected from 789 office-based employees over a two-year period between January 1, 2017 and December 31, 2018 at a large energy company in Texas. A generalized mixed-effects model was utilized to compare computer usage patterns across different days of the week and times of the day. Our findings demonstrate that computer output metrics significantly decrease on Fridays compared to other weekdays, even after controlling for total active hours. Additionally, we found that workers’ output varied depending on the time of day, with reduced computer usage observed in the afternoons and a significant decrease on Friday afternoons. The decrease in the number of typos was much less than that in the number of words typed, indicating reduced work efficiency on Friday afternoons. These objective indicators provide a novel approach to evaluating the productivity during the workweek and can help optimize work arrangements to promote sustainability for the benefit of employers, employees, and the environment. |
format | Online Article Text |
id | pubmed-10325041 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-103250412023-07-07 Examining workweek variations in computer usage patterns: An application of ergonomic monitoring software Roh, Taehyun Esomonu, Chukwuemeka Hendricks, Joseph Aggarwal, Anisha Hasan, Nishat Tasnim Benden, Mark PLoS One Research Article Alternative work arrangements have emerged as potential solutions to enhance productivity and work-life balance. However, accurate and objective measurement of work patterns is essential to make decisions about adjusting work arrangements. This study aimed at evaluating objective computer usage metrics as a proxy for productivity using RSIGuard, an ergonomics monitoring software. Data were collected from 789 office-based employees over a two-year period between January 1, 2017 and December 31, 2018 at a large energy company in Texas. A generalized mixed-effects model was utilized to compare computer usage patterns across different days of the week and times of the day. Our findings demonstrate that computer output metrics significantly decrease on Fridays compared to other weekdays, even after controlling for total active hours. Additionally, we found that workers’ output varied depending on the time of day, with reduced computer usage observed in the afternoons and a significant decrease on Friday afternoons. The decrease in the number of typos was much less than that in the number of words typed, indicating reduced work efficiency on Friday afternoons. These objective indicators provide a novel approach to evaluating the productivity during the workweek and can help optimize work arrangements to promote sustainability for the benefit of employers, employees, and the environment. Public Library of Science 2023-07-06 /pmc/articles/PMC10325041/ /pubmed/37410732 http://dx.doi.org/10.1371/journal.pone.0287976 Text en © 2023 Roh et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Roh, Taehyun Esomonu, Chukwuemeka Hendricks, Joseph Aggarwal, Anisha Hasan, Nishat Tasnim Benden, Mark Examining workweek variations in computer usage patterns: An application of ergonomic monitoring software |
title | Examining workweek variations in computer usage patterns: An application of ergonomic monitoring software |
title_full | Examining workweek variations in computer usage patterns: An application of ergonomic monitoring software |
title_fullStr | Examining workweek variations in computer usage patterns: An application of ergonomic monitoring software |
title_full_unstemmed | Examining workweek variations in computer usage patterns: An application of ergonomic monitoring software |
title_short | Examining workweek variations in computer usage patterns: An application of ergonomic monitoring software |
title_sort | examining workweek variations in computer usage patterns: an application of ergonomic monitoring software |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325041/ https://www.ncbi.nlm.nih.gov/pubmed/37410732 http://dx.doi.org/10.1371/journal.pone.0287976 |
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