Productivity in a pandemic

effect of occupational health conditions and digital communications in the manufacturing industry

Authors

DOI:

https://doi.org/10.14488/BJOPM.1642.2023

Keywords:

Productivity, Occupational health, Communication, Pandemic

Abstract

Goal: The purpose of the study is to identify how Occupational Health conditions and digital communications are related to Productivity in times of pandemic in the manufacturing industry on the Tamaulipas and Texas border.

Design / Methodology / Approach: An own instrument was designed for this study; it was applied to 104 informants with responsibility in productive areas in the manufacturing industry; the analysis was performed with SmartPLS.

Results: a positive relationship was identified between independent variables of Digital Communications and Occupational Health conditions with respect to the dependent variable Productivity and they explain 69.8% (R2); workers gave more weight to the relationship between Occupational Health conditions with Productivity (51.5%), than to the relationship between Digital Communications and Productivity (39.2%).

Limitations of the investigation: the study was analyzed from the perspective of the worker; participation was limited due to access issues due to the pandemic.

Practical implications: the study shows an analysis procedure with PLS.

Originality / Value: The article shows its relevance by presenting a model to establish relationships between worker health conditions and digital communications with an effect on labor productivity that will have an effect in the post-pandemic.

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References

Abubakar, A., Omeke, K., Ozturk M., Hussain, S. and Imran, M. (2020), “The Role of Artificial Intelligence Driven 5G Networks in COVID-19 Outbreak: Opportunities, Challenges, and Future Outlook” Front. Comms, Vol. 1. DOI: https://www.doi.org/10.3389/frcmn.2020.575065

Aday, S. and Seckin, M. (2020), “Impact of COVID-19 on the food supply chain”, Food Quality and Safety, Vol. 4, pp. 167–180. DOI: https://doi.org/10.1093/fqsafe/fyaa024

Appelbaum, S., Adam, J., Lessard, J. et al. (2005), "A case study analysis of the impact of satisfaction and organizational citizenship on productivity," Management Research News, Vol. 28, No. 5, pp. 1–26. Retrieved from: https://www.researchgate.net/publication/247622829_A_Case_Study_Analysis_of_the_Impact_of_Satisfaction_and_Organizational_Citizenship_on_Productivity

Akif, M., Guler, K., Guneser, M. et al. (2021), “Working From Home During a Pandemic Investigation of the Impact of COVID-19 on Employee Health and Productivity”, JOEM, Vol. 63, No. 9. DOI: https://doi.org/10.1097/JOM.0000000000002277

Araya, L. and Pedreros, M. (2013), "Analysis of content motivation theories: an extension to the chilean labor market of the year 2009", Revista de Ciencias Sociales, Vol. 4, No. 142, pp. 45 – 61. Retrieved from: https://www.redalyc.org/articulo.oa?id=15333870004

Badri, A., Gbodossou, A. and Nadeau, S. (2012), “Occupational health and safety risks: Towards the integration into project management”, Safety Science, Vol. 50, pp. 190–198. https://doi.org/10.1016/j.ssci.2011.08.008

Belsley, D., Kuh, E. and Welsch, R. (1980) "Identifying Influential Data and Sources of Collinearity", New York, Wiley. https://www.wiley.com/en-us/Regression+Diagnostics:+Identifying+Influential+Data+and+Sources+of+Collinearity-p-9780471691174

Betancourt, L., Ochoa, E., Velásquez, C. et al. (2020), “Occupational safety and health in the context of the COVID-19 pandemic: an exploratory review”, Rev. Public Health, Vol. 22, No. 3, pp. 1-8. DOI: https://doi.org/10.15446/rsap.V22n3.87238

Buonprisco, G., Ricci, S., Perri, R. and De sio, S. (2021), “Health and Telework: New Challenges after COVID-19 Pandemic”, European Journal of Environment and Public Health, Vol. 5, No. 2, em0073. https://doi.org/10.21601/ejeph/9705

Burdorf, A., Porru, F. and Rugulies, R. (2020), “The COVID-19 (Coronavirus) pandemic: consequences for occupational health”, Scand J Work Environ Health, Vol. 46, No. 3, pp. 229–230. DOI: https://doi.org/10.5271/sjweh.3893

Cañas, J., Coronado, R., Gilmer, R. et al. (2009), “The Impact of the Maquiladora Industry on U.S”, Border Cities. Growth and Change, Vol. 44, No. 3, pp. 415–442. https://onlinelibrary.wiley.com/doi/10.1111/grow.12014

Cardoso, G., Nieves, H., Godinho, M. et al. (2021), “Performance evaluation of occupational health and safety in relation to the COVID-19 fighting practices established by WHO: Survey in multinational industries”, Safety Science, Vol. 141. https://doi.org/10.1016/j.ssci.2021.105331

Celina, H. and Campo, A, (2005)”, Methodology of research and critical reading of studies”, Revista Colombiana de Psiquiatría, Vol. 34, No. 4, pp. 572-580. http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0034-74502002000400008

Cesare, M., Pascucci, M., Sapienza, M. et al. (2020), “ Impact of the Burden of COVID-19 in Italy: Results of Disability-Adjusted Life Years (DALYs) and Productivity Loss”, Int. J. Environ. Res and Public Health, Vol. 17, 4233. DOI: https://doi.org/10.3390/ijerph17124233

Chirico, F. and Magnavita, N. (2020), “The Crucial Role of Occupational Health Surveillance for Health-care Workers During the COVID-19 Pandemic”, Workplace Health Saf, Vol. 69, No. 1, pp. 5-6. DOI: https://doi.org/10.1177/2165079920950161

Cuc, L., Feher, A., Cuc, P., Szentesi, S., Rad, D., Rad, G., Pantea, M. and Joldes, C. (2022), “A Parallel Mediation Analysis on the Effects of Pandemic Accentuated Occupational Stress on Hospitality Industry Staff Turnover Intentions in COVID-19 Context”, Int. J. Environ. Res. Public Health, 19. https:// doi.org/10.3390/ijerph191912050

Dhir, S., Dutta, T. and Ghosh, P. (2019), “Linking employee loyalty with job satisfaction using PLS–SEM modelling”, Emerald Publishing Limited, pp. 0048-3486. DOI: https://doi.org/10.1108/PR-03-2019-0107

Duran, M. (2010), "Psychological well-being: stress and quality of life in the workplace", Revista nacional de administración, Vol. 1, No. 1, pp. 71-83. https://doi.org/10.22458/rna.v1i1.285

Ekpenyong, U., Bimbo, A., Gbemi, O. and Etete, U. (2022), “Supply disruption in the wake of COVID-19 crisis and organizational performance: mediated by organisational productivity and customer satisfaction”, Journal of Humanities and Applied Social Sciences, Vol. 3, No. 5, pp. 319-338. DOI https://doi.org/10.1108/JHASS-08-2020-0138

Erazo, S., Paz, D. and Cardona, J. (2020), “Contribution of Information and Communications Technologies to productivity”, in: SMEs in Santiago de Cali. 2020 15th Iberian Conference on Information Systems and Technologies (CISTI) 24 – 27 June 2020, Seville, Spain ISBN: 978-989-54659-0-3

Escobedo, M., Hernandez, J., Stephen, V. et al. (2016), “Structural Equation Models: Characteristics, Phases, Construction, Application and Results”, Science & Work, Vol. 18, pp. 16-22.

Fassoulis, K. and Alexopoulos, N. (2015), “The workplace as a factor of job satisfaction and productivity: A case study of administrative personnel at the University of Athens”, Journal of Facilities Management, Vol. 13, No. 4, pp. 332-349. https://doi.org/10.1108/JFM-06-2014-0018

Feltner, C., Peterson, K., Palmieri, W. et al. (2016), "The Effectiveness of Total Worker Health Interventions: A Systematic Review for a National Institutes of Health Pathways to Prevention Workshop", Ann Intern Med., 165, pp. 262-269. DOI: https://doi.org/10.7326/M16-0626

Fernal, J., Li, H and Mitchel, O. (2021), “Labor Productivity in a Pandemic”, FRBSF Economic Letter 2021-22.

Fornell, C. and Larcker, D. (1981), “Evaluating structural equation models with unobservable variables and measurement error”, J. Market. Beef. Vol. 18, No. 1, pp. 39–50. https://doi.org/10.2307/3151312

García, J., Morales, A., Díaz, J., Blanco, J., Jiménez, E. and Puig, R. (2022), “Machinery Lean Manufacturing Tools for Improved Sustainability: The Mexican Maquiladora Industry Experience”, Mathematics, 10, 1468. https://doi.org/10.3390/math10091468

Guzmán, J., Rococo, G., Pandi, A., Padrones, J. and Jared, J. (2022), “Evaluating workplace safety in the oil and gas industry during the COVID-19 pandemic using occupational health and safety Vulnerability Measure and partial least square Structural Equation Modelling”, Cleaner Engineering and Technology, Vol. 6. https://doi.org/10.1016/j.clet.2021.100378

Grenčíková, A., Kordoš, M., and Berkovic, V. (2020), “Impact of Industry 4.0 on labor productivity in the Slovak Republic”, Problems and Perspectives in Management, Vol. 18, No. 2, pp. 396-408. DOI: https://doi.org/10.21511/ppm.18(2).2020.32

Hair, J., Black, W., Babin, B. et al. (2010), “Multivariaty Data Analysis a Global perspective”, Pearson.

Hair, J., Hult, G. and Ringle, C. (2016), “Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)”, New York, SAGE Publications.

Henseler, J., Ringle., C. and Sarstedt, M. (2016), “Testing measurement invariance of composites using partial least squares”, Int. Market. Rev., Vol. 33, No. 3, pp. 405–431. https://doi.org/10.1108/IMR-09-2014-0304

Kaynak, R., Tuygun, A., Elci, M. et al. (2016), “Effects of Occupational Health and Safety Practices on Organizational Commitment, Work Alienation, and Job Performance: Using the PLS-SEM Approach”, International Journal of Business and Management, Vol. 11, No. 5. http://dx.doi.org/10.5539/ijbm.v11n5p146

Kirsten, W. (2010), “Making the Link between Health and Productivity at the Workplace —A Global Perspective”, Industrial Health, Vol. 48, pp. 251–255. https://doi.org/10.2486/indhealth.48.251

Khalid, K. and Masood, T. (2007), "Impact of Employee Participation On Job Satisfaction, Employee Commitment and Employee Productivity," International Review of Business Research Papers, Vol. 3, No. 2, pp. 54–68.

Kodjo, E. and Changjung, D. (2009), "The Influence of Organizational Culture on Organizational Learning, Worker Involvement and Worker Productivity," International Journal of Business and Management, Vol. 4, No. 9, pp. 243-250. DOI: https://doi.org/10.5539/ijbm.v4n9p243

Kunrath, T., Dresch, A. and Veit, D. (2022), “Supply chain management and industry 4.0: a theoretical approach”, Brazilian Journal of Operations and Production Management, Vol. 20, No. 1, e20231263. https://doi.org/10.14488/BJOPM.1263.2023

Kunst, R., Avila, L., Binotto, A. et al. (2019), “Improving devices communication in Industry 4.0 wireless networks”, Engineering Applications of Artificial Intelligence, Vol. 83, pp. 1–12. https://doi.org/10.1016/j.engappai.2019.04.014

Larochea, E., Esperancea, S. and Mosconib, E. (2020), “Use of social media platforms for promoting healthy employee lifestyles and occupational health and safety prevention: A systematic review”, Safety Science, 131. https://doi.org/10.1016/j.ssci.2020.104931

LaDou, J. (2003), “International Occupational Health. International Journal of Hygiene and Environmental Health”, 206, pp. 303-313. http://dx.doi.org/10.1078/1438-4639-00226

Leso, V., Fontana, L. and Lavvicoli, I. (2018), “The occupational health and safety dimension of Industry 4.0”, Med Lav, 109, pp. 327-338. DOI: https://doi.org/10.23749/mdl.v110i5.7282

Lingard, H. (2013), “Occupational health and safety in the construction industry, Construction Management and Economics”, Vol. 31, No. 6, pp. 505-514. DOI: https://doi.org/10.1080/01446193.2013.816435

Morrar, R., Abdeljawad, I., Jabr, S. et al. (2019), “The Role of Information and Communications Technology (ICT) in Enhancing Service Sector Productivity in Palestine: An International Perspective”, Journal of Global Information Management Volume, Vol. 27, No. 1. DOI: https://doi.org/10.4018/JGIM.2019010103

Mustafa, M. (2020)”, The triple-edged sword of COVID-19: understanding the use of digital technologies and the impact of productive, disruptive, and destructive nature of the pandemic”, Information Systems Management,Vol. 37, No. 4, pp. 310-317, DOI: https://doi.org/10.1080/10580530.2020.1820634

Ngubo, S., Kruger, C., Hancke, G. et al. (2016), “An occupational health and safety monitoring system”, 2016 IEEE 14th International Conference on Industrial Informatics (INDIN), pp. 966-971. DOI: https://doi.org/10.1109/INDIN.2016.7819301

Nguyen., H. and Tran, M. (2021), “The Effect of Perceived Organizational Support on Employee Engagement During the COVID-19 Pandemic: An Empirical Study in Vietnam”, Journal of Asian Finance, Economics and Business, Vol. 8, No. 6, pp. 0415–0426. DOI: https://doi.org/10.13106/jafeb.2021.vol8.no6.0415

Ninaus, K., Diehl, S. and Terlutter, R. (2021), “Employee perceptions of information and communication technologies in work life, perceived burnout, job satisfaction and the role of work-family balance”, Journal of Business Research, Vol. 136, No. 2021, pp. 652–666. https://doi.org/10.1016/j.jbusres.2021.08.007

Nowrouzi, B., Sithamparanathan, G., Nadesar, N., Gohar, B. and Markus, O. (2021), “Factors associated with work performance and mental health of healthcare workers during pandemics: a systematic review and meta-analysis”, Journal of Public Health, pp. 1–9. DOI: https://doi.org/10.1093/pubmed/fdab173

Nuñez, I. (2011), "Safety capital: the management of organizational knowledge on occupational health and safety", Journal of Workplace Learning, Vol. 23, No. 1, pp. 56–71. http://dx.doi.org/10.1108/13665621111097254

Obrenovic, B., Du, J., Godinic, D. et al. (2020), “Sustaining Enterprise Operations and Productivity during the COVID-19 Pandemic: Enterprise Eectiveness and Sustainability Model”, Sustainability, Vol. 12, 5981. DOI: https://doi.org/10.3390/su12155981

Okeke, O. (2021), “The Appliction of Theory of Planned Behavior in the Context of Ict-Enabled Occupational Health and Safety System in South Africa During Covid-19 Pandemic”, International Journal of Business and Management Studies, Vol. 13, No. 1, pp. 97-124. DOI: https://doi.org/10.34111/ijbms.20210106

Onaran, O. (2009), “Wage share, globalization and crisis: the case of the manufacturing industry in Korea, Mexico and Turkey”, International Review of Applied Economics, Vol. 23, No. 2, pp. 113–134. DOI: https://doi.org/10.1080/02692170802700435

Patanjali, S. and Bhatta, N. (2022), “Work from Home During the Pandemic: The Impact of Organizational Factors on the Productivity of Employees in the IT Industry”, journals-permissions-india. DOI: https://doi.org/10.1177/09722629221074137

Peltomaki, P. and Husman, K. (2002), “Networking between occupational health services, client enterprises and other experts: difficulties, supporting factors and benefits”, International Journal of Occupational Medicine and Environmental Health, Vol. 15, No. 2, pp. 139-145. DOI: https://doi.org/10.1186/s12889-016-3924-x

Peters, S., Dennerlein, J., Wagner, J. and Sorensen, G. (2022), “Work and worker health in the post-pandemic world: a public health perspective”, Lancet Public Health, Vol. 7. DOI: https://doi.org/10.1016/S2468-2667(21)00259-0

Ramírez, Y. and Nembhard, D. (2004), "Measuring knowledge worker productivity, A taxonomy", Journal of Intellectual Capital, Vol. 5, No. 4, pp. 602-628. DOI: https://doi.org/OJI:10.1108/14691930410567040

Ramos, V., López, J., Ramos, R., García, J., Ochoa, I., Guerrero, P., Verdugo, R. and Verdugo, S. (2022), “Ergonomic Factors That Impact Job Satisfaction and Occupational Health during the SARS-CoV-2 Pandemic Based on a Structural Equation Model: A Cross-Sectional Exploratory Analysis of University Workers”, Int. J. Environ. Res. Public Health, 2022, Vol. 19, 10714. https://doi.org/10.3390/ijerph191710714

Reina, V. (2016), "Productivity of human resources, product innovation and export performance: An empirical investigation", Intangible Capital, Vol. 1, No. 2, pp. 619-641. DOI: http://dx.doi.org/10.3926/ic.746

Riascos, S., Paz, D. and Cardona, J. (2020). "Contribution of Information Technology and Communications to productivity in SMEs in Santiago de Cali," 2020 15th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1-5. DOI: https://doi.org/10.23919/CISTI49556.2020.9141082

Ruiz, C., Ortega, M., Soriano, G., Romero, M., Allende, R., Caballinas, J. and Gómez, J. (2021), “Psychological Distress Among Occupational Health Professionals During Coronavirus Disease 2019 Pandemic in Spain: Description and Effect of Work Engagement and Work Environment”, Frontiers, Vol. 12. DOI: https://doi.org/10.3389/fpsyg.2021.765169

Saeed, N., Bader, A., Naffouri, T. and Alouini M. (2020), “When Wireless Communication Responds to COVID-19: Combating the Pandemic and Saving the Economy”, Front. Comms. Net. 1:566853. DOI: https://doi.org/10.3389/frcmn.2020.566853

Sauti, C, (2020), “Behavioural actions of shop-floor employees towards occupational health and safety measures during the COVID-19 pandemic restrictions. a case of the agriculture industry in Zimbabwe”, Sociological Review, LIV, No. 3, pp. 888–919. DOI: https://doi.org/10.5937/socpreg54-27652

Seva, R., Tejero, L. and Fadrilan, V. (2021), “Barriers and facilitators of productivity while working from home during pandemic”, J Occup Health. 63. https://doi.org/10.1002/1348-9585.12242

Shikdar, A. and Das., B. (2003), "The relationship between worker satisfaction and productivity in a repetitive industrial task", Applied Ergonomics, 34, pp. 603–610. DOI: https://doi.org/10.1016/S0003-6870(03)00057-7

Shoss, M. (2021), “Occupational Health Psychology Research and the COVID-19 Pandemic”, Journal of Occupational Health Psychology, Vol. 26, No. 4, pp. 259–260. https://doi.org/10.1037/ocp0000292

Siriwardhana, Y., Alwis, C., Gur, G., Ylianttila, M. and Liyanage, M. (2020), “The Fight Against the COVID-19 Pandemic with 5G Technologies”, IEEE ENGINEERING MANAGEMENT REVIEW, Vol. 48, No. 3, pp. 72-84. IEEE DOI 10.1109/EMR.2020.3017451

Suhardi, A., Prasetia, A. and Marinda, V. (2021), “Analysis Of Differences In The Productivity Of Msmes Sentra Rajut As A Pandemic Impact Of Covid-19”, Turkish Journal of Computer and Mathematics Education, Vol. 12, No. 8 pp. 1590-1595.

Toscano, F. and Zapala, S. (2020), “Social Isolation and Stress as Predictors of Productivity Perception and RemoteWork Satisfaction during the COVID-19 Pandemic: The Role of Concern about the Virus in a Moderated Double”, Mediation. Sustainability, 12. DOI: https://doi.org/10.3390/su12239804

Tovalin, H. (2005), “A Community-Based Study of Occupational Health Conditions in Six Industrial Activities”, Science & Work, 18. https://pesquisa.bvsalud.org/portal/resource/pt/lil-437729

Young, S. and Brand, J. (2005), “Effects of control over office workspace on perceptions of the work environment and work outcomes”, Journal of Environmental Psychology, Vol. 25, No. 3, pp. 323-333. https://doi.org/10.1016/j.jenvp.2005.08.001

Velez, M. A. (2010.), "Quality of working life in temporary employees of the Aburrá Valley – Colombia", Revista Ciencias Estratégicas. Vol. 18, No. 24, pp. 225-236. DOI: https://doi.org/10.20872/24478407/regmpe.v3n2p1-27

Vilela, J. and Faria, F. (2022), “Industry 4.0 and 5G Technology on Firms Network: a balanced competitive expansion conceptual model development”, Brazilian Journal of Operations and Production Management, Vol. 19, No. 3, e20221426. https://doi.org/10.14488/BJOPM.2022.1426

Zanella, R., Frazzon, E. and Uhlmann, I. (2022), “Social Manufacturing: from the theory to the practice”, Brazilian Journal of Operations & Production Management, Vol. 19, No. 3, e20221241. https://doi.org/10.14488/BJOPM.2021.047

Zhou, K., Liu, T. and Zhou, L. (2015). Industry 4.0: Towards Future Industrial Opportunities and Challenges. 12th Conference on Fuzzy Systems and Knowledge Discovery. https://ieeexplore.ieee.org/abstract/document/7382284

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Published

2023-10-25

How to Cite

Hernández, S. R., Martínez, M. A. D., & Zubirías, G. C. (2023). Productivity in a pandemic: effect of occupational health conditions and digital communications in the manufacturing industry . Brazilian Journal of Operations & Production Management, 20(4), 1642 . https://doi.org/10.14488/BJOPM.1642.2023

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Research paper