Production
https://prod.org.br/article/doi/10.1590/0103-6513.20220071
Production
Thematic Section - Production Engineering leading the Digital Transformation

Analysis of the work quality and productivity during the COVID-19 pandemic

Carlos Jefferson de Melo Santos; Ângelo Marcio Oliveira Sant’Anna; Joilson Nascimento Paim

http://dx.doi.org/10.1590/0103-6513.20220071 Production, vol.33, e20220071, 2023
PDF
Downloads: 0
Views: 548

Abstract

Paper aims: This paper analyzes the work quality and productivity of during the COVID-19 pandemic from five Brazilian regions with three work models: face-to-face, virtual and workshiting.

Originality: Despite the number of studies on COVID-19 since the pandemic’s beginning, the literature lacks research that demonstrates relationships between productivity and the emergence of problems, illnesses, and adverse situations that compromise worker performance in the routines of these three work models.

Research method: The study used an experimental, descriptive, and transversal research design, without identification data Southeast of the participant, as anonymous and exclusive research, with 801 participants from different regions of Brazil (North, Northeast, Midwest, Northeast, and South), with different age groups. The work consisted of work issues focusing on the quality of work pandemic, for issues of analysis of time and productivity problems. The questions were about health issues in 6 parts of the study: mental demographics and increased sleep quality, fear of SARS-CoV-2, exercise, stress, and productivity.

Main findings: There was a strong significant relationship between the three work models and five variables: area of activity, work equipment used during quarantine, diseases found during the pandemic, problems reported during quarantine pandemic like sleep, stress, workload performed, and future expectations regarding the work performed and the pandemic. Significant relationships were also found with diseases before the pandemic, those perceived and reported during the pandemic period studied, and the sleep profile before and during. The statistical significance relationship was also strong between the areas of work audience and new diseases during the pandemic.

Implications for theory and practice: The research practically validates several other theoretical studies, with guidelines for the scientific community on work behavior for the three work models. The results, together with the relationships found by the statistical analysis of the p-value of the variables, help the public and private authorities to understand and rethink preventive measures in the emergence of new diseases and the optimization of work operations without compromising their quality and productivity.

Keywords

COVID-19, Home office, Face-to-face, Productivity, Quality of work, Workshifting

References

Adams, J. G., & Walls, R. M. (2020). Supporting the health care workforce during the COVID-19 global epidemic. Journal of the American Medical Association, 323(15), 1439-1440. http://dx.doi.org/10.1001/jama.2020.3972. PMid:32163102.

Assunção, M. V. D., Medeiros, M., Moreira, L. N. R., Paiva, I. V. L., & Paes, C. A. D. (2020). Resilience of Brazilian supply chains with the impacts of Covid-19. Holos, 5(36), e10802. http://dx.doi.org/10.15628/holos.2020.10802.

Backes, D. A. P., Arias, M. I., Storopoli, J. E., & Ramos, H. R. (2020). The effects of the covid-19 pandemic on organizations: a look to the future. Revista Iberoamericana de Gestión Estratégica, 19(4), 1-10. Retrieved in 2022, May 19, from http://repositoriodigital.uns.edu.ar/handle/123456789/5410

Bigalke, J. A., Greenlund, I. M., & Carter, J. R. (2020). Sex differences in self-report anxiety and sleep quality during COVID-19 stay-at-home orders. Biology of Sex Differences, 11(1), 56. http://dx.doi.org/10.1186/s13293-020-00333-4. PMid:33050941.

Bouziri, H., Smith, D. R. M., Descatha, A., Dab, W., & Jean, K. (2020). Working from home in the time of COVID-19: how to best preserve occupational health? Occupational and Environmental Medicine, 77(7), 509-510. http://dx.doi.org/10.1136/oemed-2020-106599. PMid:32354748.

Brooks, S. K., Webster, R. K., Smith, L. E., Woodland, L., Wessely, S., Greenberg, N., & Rubin, G. J. (2020). The psychological impact of quarantine and how to reduce it: rapid review of the evidence. Lancet, 395(10227), 912-920. http://dx.doi.org/10.1016/S0140-6736(20)30460-8. PMid:32112714.

Cendales, B., Useche, S., & Gómez, V. (2014). Psychosocial work factors, blood pressure and psychological strain in male bus operators. Industrial Health, 52(4), 279-288. http://dx.doi.org/10.2486/indhealth.2013-0156. PMid:24869893.

Chakraborty, I., & Maity, P. (2020). COVID-19 outbreak: migration, effects on society, global environment and prevention. The Science of the Total Environment, 728, 138882. http://dx.doi.org/10.1016/j.scitotenv.2020.138882. PMid:32335410.

Chamola, V., Hassija, V., Gupta, V., & Guizani, M. (2020). A comprehensive review of the COVID-19 pandemic and the role of IoT, drones, AI, blockchain, and 5G in managing its impact. IEEE Access, 8, 90225-90265. http://dx.doi.org/10.1109/ACCESS.2020.2992341.

Cirrincione, L., Plescia, F., Ledda, C., Rapisarda, V., Martorana, D., Moldovan, R. E., Theodoridou, K., & Cannizzaro, E. (2020). COVID-19 pandemic: prevention and protection measures to be adopted at the workplace. Sustainability, 12(9), 3603. http://dx.doi.org/10.3390/su12093603.

Collins, M. (2005). The (not so simple) case for teleworking: a study at Lloyd’s of London. New Technology, Work and Employment, 20(2), 115-132. http://dx.doi.org/10.1111/j.1468-005X.2005.00148.x.

Cordova, M., Floriani, D. E., Gonzalez-Perez, M. A., Hermans, M., Mingo, S., Monje-Cueto, F., Nava-Aguirre, K. M., Rodriguez, C. A., & Salvaj, E. (2021). COVID-19 and higher education: responding to local demands and the consolidation of e-internationalization in Latin American universities. Academia, 34(4), 493-509. http://dx.doi.org/10.1108/ARLA-01-2021-0020.

Cucinotta, D., & Vanelli, M. (2020). WHO declares COVID-19 a pandemic. Acta Biomedica, 91(1), 157-160. PMid:32191675.

Deguchi, Y., Iwasaki, S., Niki, A., Kadowaki, A., Hirota, T., Shirahama, Y., Nakamichi, Y., Okawa, Y., Uesaka, Y., & Inoue, K. (2022). Relationships between occupational stress, change in work environment during the COVID-19 pandemic, and depressive and anxiety symptoms among non-healthcare workers in Japan: a cross-sectional study. International Journal of Environmental Research and Public Health, 19(2), 983. http://dx.doi.org/10.3390/ijerph19020983. PMid:35055803.

Deloitte. (2020). How to reduce the pandemic impact on employees: a guide for company leaders. London: Deloitte. Retrieved in 17 April 2023, from https://www2.deloitte.com/ua/en/pages/human-capital/articles/impact-of-covid-19.html

Drake, T. M., Docherty, A. B., Weiser, T. G., Yule, S., Sheikh, A., & Harrison, E. M. (2020). The effects of physical distancing on population mobility during the COVID-19 pandemic in the UK. The Lancet, 2(8), e385-e387. PMid:32835195.

Fadel, M., Salomon, J., & Descatha, A. (2020). Coronavirus outbreak: the role of companies in preparedness and responses. The Lancet, 5(4), e193. http://dx.doi.org/10.1016/S2468-2667(20)30051-7. PMid:32119831.

Galea, S. (2020). Compassion in a time of COVID-19. The Lancet, 395(10241), 1897-1898. http://dx.doi.org/10.1016/S0140-6736(20)31202-2.

Gerding, T., Syck, M., Daniel, D., Naylor, J., Kotowski, S. E., Gillespie, G. L., Freeman, A. M., Huston, T. R., & Davis, K. G. (2021). An assessment of ergonomic issues in the home offices of university employees sent home due to the COVID-19 pandemic. Work, 68(4), 981-992. http://dx.doi.org/10.3233/WOR-205294. PMid:33867366.

Golan, M. S., Jernegan, L. H., & Linkov, I. (2020). Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic. Environment Systems & Decisions, 40(2), 222-243. http://dx.doi.org/10.1007/s10669-020-09777-w. PMid:32837820.

Gomes, R. F. S., Gauss, L., & Lacerda, D. P. (2021). Fast-response measures to mitigate the COVID-19 health and economic impacts within the organizations: the case of Thyssenkrupp Elevator Brazil. Production, 31, e20200062. http://dx.doi.org/10.1590/0103-6513.20200062.

Green, F. (2020). Schoolwork in lockdown: new evidence on the epidemic of educational poverty. London: Centre for Learning and Life Chances in Knowledge Economies and Societies. Research paper 67.

Gudbjartsson, D. F., Helgason, A., Jonsson, H., Magnusson, O. T., Melsted, P., Norddahl, G. L., Saemundsdottir, J., Sigurdsson, A., Sulem, P., Agustsdottir, A. B., Eiriksdottir, B., Fridriksdottir, R., Gardarsdottir, E. E., Georgsson, G., Gretarsdottir, O. S., Gudmundsson, K. R., Gunnarsdottir, T. R., Gylfason, A., Holm, H., Jensson, B. O., Jonasdottir, A., Jonsson, F., Josefsdottir, K. S., Kristjansson, T., Magnusdottir, D. N., Roux, L., Sigmundsdottir, G., Sveinbjornsson, G., Sveinsdottir, K. E., Sveinsdottir, M., Thorarensen, E. A., Thorbjornsson, B., Löve, A., Masson, G., Jonsdottir, I., Möller, A. D., Gudnason, T., Kristinsson, K. G., Thorsteinsdottir, U., & Stefansson, K. (2020). Spread of SARS-CoV-2 in the Icelandic population. The New England Journal of Medicine, 382(24), 2302-2315. http://dx.doi.org/10.1056/NEJMoa2006100. PMid:32289214.

Hair Junior, J. F., Page, M., & Brunsveld, N. (2003). Essentials of business research methods. Hoboken: Wiley.

Haren, P., & Simchi-Levi, D. (2020). How coronavirus could impact the global supply chain by mid-March. Brighton: Harvard Business Review. Retrieved in 14 July 2020, from https://hbr.org/2020/02/how-coronavirus-could-impact-the-global-supply-chain-by-mid-march

Iida, I. (1990). Ergonomia: projeto e produção. São Paulo: Edgar Blücher.

International Labour Organization. (2020). ILO monitor: COVID-19 and the world of work: updated estimates and analysis (6th ed.). Geneva: ILO. Retrieved in 16 November 2020, from https://www.ilo.org/wcmsp5/groups/public/@dgreports/@dcomm/documents/briefingnote/wcms_755910.pdf

Luo, M., Guo, L., Yu, M., Jiang, W., & Wang, H. (2020). The psychological and mental impact of coronavirus disease 2019 (COVID-19) on medical staff and the general public: a systematic review and meta-analysis. Psychiatry Research, 291, 113190. http://dx.doi.org/10.1016/j.psychres.2020.113190. PMid:32563745.

MacLean, K. F. E., Neyedli, H. F., Dewis, C., & Frayne, R. J. (2022). The role of at home workstation ergonomics and gender on musculoskeletal pain. Work, 71(2), 309-318. http://dx.doi.org/10.3233/WOR-210692. PMid:35095004.

Minoura, A., Ishimaru, T., Kokaze, A., & Tabuchi, T. (2021). Increased work from home and low back pain among Japanese desk workers during the coronavirus disease 2019 pandemic: a cross-sectional study. International Journal of Environmental Research and Public Health, 18(23), 12363. http://dx.doi.org/10.3390/ijerph182312363. PMid:34886088.

Namwat, C., Suphanchaimat, R., Nittayasoot, N., & Iamsirithaworn, S. (2020). Thailand’s response against coronavirus disease 2019: challenges and lessons learned. OSIR Journal, 13(1), 33-37.

Nowakowska, K. (2021). Rok z koronawirusem: od paniki, przez luz, do fatalizmu. Warsaw: Dziennik Gazeta Prawna. Retrieved in 1 June 2021, from https://www.gazetaprawna.pl/wiadomosci/kraj/artykuly/8111858,szczepienia-maseczki-rok-z-koronawirusem-zycie-codzienne.html

Nunes, F. (2005). Most relevant enablers and constraints influencing the spread of telework in Portugal. New Technology, Work and Employment, 20(2), 133-149. http://dx.doi.org/10.1111/j.1468-005X.2005.00149.x.

Organisation for Economic Cooperation and Development. (2020a). Coronavirus (Covid-19): SME policy responses. Paris: OECD. Retrieved in 11 November 2020, from http://www.oecd.org/coronavirus/policy-responses/coronavirus-covid-19-sme-policy-responses-04440101

Organisation for Economic Cooperation and Development. (2020b). OECD family database. Paris: OECD. Retrieved in 17 April 2023, from https://www.oecd.org/els/family/database.htm

Organisation for Economic Cooperation and Development. (2021). OECD economic outlook. Interim report March 2021. Paris: OECD. https://dx.doi.org/10.1787/34bfd999-en.

Radulović, A. H., Žaja, R., Milošević, M., Radulović, B., Luketić, I., & Božić, T. (2021). Work from home and musculoskeletal pain in telecommunications workers during COVID-19 pandemic: a pilot study. Arhiv za Higijenu Rada i Toksikologiju, 72(3), 232-239. PMid:34587664.

Rafael, L. M., & Silva, S. L. (2022). The mediating role of socialization in the relationship between interdepartmental integration and product portfolio performance. Production, 32, e20220010. http://dx.doi.org/10.1590/0103-6513.20220010.

Sant’Anna, A. M. O. (2015). Framework of decision in data modeling for quality improvement. The TQM Journal, 27(1), 135-149. http://dx.doi.org/10.1108/TQM-06-2013-0066.

Santamaría, M. D., Ozamiz-Etxebarria, N., Rodríguez, I. R., Albondiga-Mayor, J. J., & Gorrochategi, M. P. (2021). Psychological impact of COVID-19 in a sample of Spanish health professionals. Revista de Psiquiatría y Salud Mental, 14(2), 106-112. https://doi.org/10.1016/j.rpsmen.2020.05.002.

Shirali, G., Shekari, M., & Angali, K. A. (2018). Assessing reliability and validity of an instrument for measuring resilience safety culture in sociotechnical systems. Safety and Health at Work, 9(3), 296-307. http://dx.doi.org/10.1016/j.shaw.2017.07.010. PMid:30370161.

Thulin, E., Vilhelmson, B., & Johansson, M. (2019). New telework, time pressure, and time use control in everyday life. Sustainability, 11(11), 3067. http://dx.doi.org/10.3390/su11113067.

Wang, Y., Kala, M. P., & Jafar, T. H. (2020). Factors associated with psychological distress during the coronavirus disease 2019 (COVID-19) pandemic in the predominantly general population: a systematic review and meta-analysis. PLoS One, 15(12), e0244630. http://dx.doi.org/10.1371/journal.pone.0244630. PMid:33370404.

Xiong, J., Lipsitz, O., Nasri, F., Lui, L. M. W., Gill, H., Phan, L., Chen-Li, D., Iacobucci, M., Ho, R., Majeed, A., & McIntyre, R. S. (2020). Impact of the COVID-19 pandemic on the mental health of the general population: a systematic review. Journal of Affective Disorders, 277, 55-64. http://dx.doi.org/10.1016/j.jad.2020.08.001. PMid:32799105.

Yang, Z., Ji, L. J., Yang, Y., Wang, Y., Zhu, L., & Cai, H. (2021). Meaning making helps cope with COVID-19: a longitudinal study. Personality and Individual Differences, 174, 110670. http://dx.doi.org/10.1016/j.paid.2021.110670. PMid:33518865.
 

Submitted date:
06/03/2022

Accepted date:
04/17/2023

6463c1d3a9539528e21ce752 production Articles
Links & Downloads
1980-5411 (Electronic) 0103-6513 (Printed)
Production ©2024 All rights reserved.

Production

Share this page
Page Sections