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Tytuł artykułu

Social and demographic factors in shaping the perception of work as a source of health and safety risks: a study on adult Europeans

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PL
Czynniki społeczne i demograficzne w kształtowaniu postrzegania pracy jako źródła zagrożeń dla zdrowia i bezpieczeństwa: badanie dorosłych Europejczyków
Języki publikacji
EN
Abstrakty
EN
The aim of this article is to assess the impact of selected social and demographic factors on the perception of European adults regarding their workplace as a health and safety risk. This aligns with the sustainable development concept, which emphasizes labor rights protection and a safe working environment. Sustainable work is defined as work that doesn't compromise employees' physical or mental health over time. Utilizing data from the 2021 European Working Conditions Survey, which covered over 70,000 individuals across 36 countries and was conducted via CATI due to the pandemic, the study employs logistic regression. It analyzes three models: one encompassing all European countries, and two focusing on Eastern and Central European countries. The findings demonstrate that factors such as company size, age, occupational group, sector, employment nature, gender, service length, and education significantly influence workplace risk perception. International comparisons highlight differences in these factors across country groups, contributing to the scientific discussion in social sciences.
PL
Celem artykułu jest ocena wpływu wybranych czynników społecznych i demograficznych na postrzeganie przez dorosłych mieszkańców Europy swojej pracy jako źródła zagrożenia dla zdrowia i bezpieczeństwa. Badanie wpisuje się w koncepcję zrównoważonego rozwoju, podkreślającą ochronę praw pracowniczych i bezpieczne środowisko pracy. Zrównoważona praca definiowana jest jako taka, która nie szkodzi zdrowiu fizycznemu czy psychicznemu pracowników w dłuższym okresie. Wykorzystując dane z Europejskiego Badania Warunków Pracy z 2021 roku, obejmującego ponad 70 000 osób w 36 krajach, przeprowadzone metodą CATI z powodu pandemii, badanie zastosowało regresję logistyczną. Analizuje ono trzy modele: obejmujący wszystkie kraje europejskie oraz dwa skoncentrowane na Europie Wschodniej i Środkowej. Wyniki pokazują, że wielkość firmy, wiek, grupa zawodowa, sektor, charakter zatrudnienia, płeć, staż pracy i wykształcenie znacząco wpływają na postrzeganie ryzyka w miejscu pracy. Międzynarodowe porównania ujawniły różnice w tych czynnikach między grupami krajów, przyczyniając się do dyskusji naukowej w naukach społecznych.
Rocznik
Tom
Strony
1--36
Opis fizyczny
Bibliogr. 107 poz., tab.
Twórcy
  • Department of Economic and Social Statistics, University of Lodz, Rewolucji 1905 r. Street 41, 90-214 Lodz, Poland
  • Faculty of Organization and Management, Technical University of Lodz
  • Faculty of Organization and Management, Technical University of Lodz
Bibliografia
  • Abbas, M., Mneymneh, B. E., & Khoury, H. (2018). Assessing on-site construction personnel hazard perception in a Middle Eastern developing country: An interactive graphical approach. Safety Science, 103, 183-196. https://doi.org/10.1016/j.ssci.2017.10.026
  • Agresti, A. (2013). Categorical Data Analysis: Third Edition. New Jersey: John Wiley & Sons. https://mybiostats.files.wordpress.com/2015/03/3rd-ed-alan_agresti_categorical_data_analysis.pdf
  • Agresti, A. (2018). An introduction to categorical data analysis: Third Edition. New Jersey: John Wiley & Sons.
  • Ahonen, E. Q., & Benavides, F. G. (2006). Risk of fatal and non-fatal occupational injury in foreign workers in Spain. Journal of Epidemiology & Community Health, 60(5), 424-426. https://doi.org/10.1136/jech.2005.044099
  • Ajslev, J., Dastjerdi, E. L., Dyreborg, J., Kines, P., Jeschke, K. C., Sundstrup, E., Jakobsen, M. D., Fallentin, N., & Andersen, L. L. (2017). Safety climate and accidents at work: cross-sectional study among 15,000 workers of the general working population. Safety Science, 91, 320-325. https://doi.org/10.1016/j.ssci.2016.08.029
  • Ali-Saleh, O., & Halperin, O. (2022). Cross-Sectional Study of Factors Influencing Perceived Threat and Stress among the Arab Minority in Israel during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health, 19(16), 10326. https://doi.org/10.3390/ijerph191610326
  • Amponsah-Tawiah, K. (2013). Occupational health and safety and sustainable development in Ghana. International Journal of Business Administration, 4(2), 74-78. https://doi.org/10.5430/ijba.v4n2p74
  • Amponsah-Tawiah, K., & Mensah, J. (2016). The impact of safety climate on safety related driving behaviors. Transportation Research Part F: Traffic Psychology and Behaviour, 40, 48-55. https://doi.org/10.1016/j.trf.2016.04.002
  • Aven, T. (2010). On how to define, understand and describe risk. Reliability Engineering & System Safety, 95(6), 623-631. https://doi.org/10.1016/j.ress.2010.01.011
  • Aven, T., & Renn, O. (2010). Risk Management and Governance: Concepts, Guidelines and Applications. Berlin: Springer Science & Business Media. https://link.springer.com/book/10.1007/978-3-642-13926-0
  • Bahn, Z. (2013). Workplace hazard identification and management: the case of an underground mining operation. Safety Science, 57, 129-137. https://doi.org/10.1016/j.ssci.2013.01.010
  • Beck, U. (2001). La société du risque. Sur la voie d’une autre modernité, trad. de l’allemand par L. Bernardi. Paris: Aubier. https://doi.org/10.4000/questionsdecommunication.7281
  • Bhattacharya, A., & Ray, T. (2021). Precarious work, job stress, and health‐related quality of life. American Journal of Industrial Medicine, 64(4), 310-319. https://doi.org/10.1002/ajim.23223
  • Boczkowska, K., Niziołek, K., & Roszko-Wójtowicz, E. (2022). A multivariate approach towards the measurement of active employee participation in the area of occupational health and safety in different sectors of the economy. Equilibrium. Quarterly Journal of Economics and Economic Policy, 17(4), 1051-1085. https://doi.org/10.24136/eq.2022.035
  • Bonem, E. M., Ellsworth, P. C., & Gonzalez, R. (2015). Age differences in risk: Perceptions, intentions and domains. Journal of Behavioral Decision Making, 28(4), 317-330. https://doi.org/10.1002/bdm.1848
  • Borys, D. (2012). The Role of Safe Work Method Statements in the Australian Construction Industry. Safety Science, 50(2), 210-220. https://doi.org/10.1016/j.ssci.2011.08.010
  • Boschman, J. S., van der Molen, H. F., Sluiter, J. K., & Frings-Dresen, M. H. (2013). Psychosocial work environment and mental health among construction workers. Applied Ergonomics, 44(5), 748-755. https://doi.org/10.1016/j.apergo.2013.01.004
  • Brodny, J., & Tutak, M. (2023). The level of implementing sustainable development goal "Industry, innovation and infrastructure" of Agenda 2030 in the European Union countries: Application of MCDM methods. Oeconomia Copernicana, 14(1), 47-102. https://doi.org/10.24136/oc.2023.002
  • Chan, A. P., Javed, A. A., Wong, F. K., Hon, C. K., & Lyu, S. (2017a). Evaluating the safety climate of ethnic minority construction workers in Hong Kong. Journal of Professional Issues in Engineering Education and Practice, 143(4), 04017006. https://doi.org/10.1061/(ASCE)EI.1943-5541.0000333
  • Chan, A. P., Wong, F. K., Hon, C. K., Lyu, S., & Javed, A. A. (2017b). Investigating ethnic minorities' perceptions of safety climate in the construction industry. Journal of Safety Research, 63, 9-19. https://doi.org/10.1016/j.jsr.2017.08.006
  • Chaswa, E. N., Kosamu, I. B. M., Kumwenda, S., & Utembe, W. (2020). Risk perception and its influencing factors among construction workers in Malawi. Safety, 6(2), 33. https://doi.org/10.3390/safety6020033
  • Crundall, D., Chapman, P., Trawley, S., Collins, L., Van Loon, E., Andrews, B., & Underwood, G., (2012). Some hazards are more attractive than others: drivers of varying experience respond differently to different types of hazard. Accident Analysis & Prevention, 45, 600-609. https://doi.org/10.1016/j.aap.2011.09.049
  • Danieluk, B. (2010). Zastosowanie regresji logistycznej w badaniach eksperymentalnych. Psychologia Społeczna, 5(2-3), 199-216. (in Polish).
  • Domínguez, C. R., Mares, J. I. P., & Hernández, R. G. Z. (2021). Hazard identification and analysis in work areas within the Manufacturing Sector through the HAZID methodology. Process Safety and Environmental Protection, 145, 23-38. https://doi.org/10.1016/j.psep.2020.07.049
  • Ehnert, I., Harry, W., & Zink, K. J. (2014). Sustainability and Human Resource Management. Developing sustainable business organizations. London: Springer. https://www.academia.edu/34856555/Sustainability_and_Human_Resource_Management_Developing_Sustainable_Business_Organizations
  • Eiris, R., Jain, A., Gheisari, M., & Wehle, A. (2020). Safety immersive storytelling using narrated 360-degree panoramas: A fall hazard training within the electrical trade context. Safety Science, 127, 104703. https://doi.org/10.1016/j.ssci.2020.104703
  • Elkington, J. (1997). Cannibals with forks. Oxford: Capstone Publishing Limited.
  • Eurofound. (2015). Sustainable Work over the Life Course: Concept Paper. https://doi.org/10.2806/281708
  • Eurofound. (2021). European Working Conditions Telephone Survey 2021. https://www.eurofound.europa.eu/pl/surveys/european-working-conditions-surveys/european-working-conditions-telephone-survey-2021
  • Flynn, J., Slovic, P., & Mertz, C. K. (1994). Gender, Race, and Perception of Environmental Health Risks. Risk Analysis, 14(6), 1101-1108. https://doi.org/10.1111/j.1539-6924.1994.tb00082.x
  • Fragouli, E., & Theodoulou, P. (2015). The way people and societies perceive the nature and context of risk is different, due to psychological and cultural issues. Journal of Economics and Business, 18(1), 29-46. https://www.u-picardie.fr/eastwest/fichiers/art189.pdf
  • García Acosta, V. (2005). El riesgo como construcción social y la construcción social de riesgos. Desacatos, (19), 11-24. https://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1607-050X2005000300002
  • Gruszczyński, R. (2012). Regresja logistyczna jako narzędzie analizy statystycznej. Statystyka, 49(5), 61-80. (in Polish).
  • Hallowell, M. (2010). Safety Risk Perception in Construction Companies in the Pacific Northwest of the USA. Construction Management and Economics, 28, 403-413. https://doi.org/10.1080/01446191003587752
  • Han, Y., Jin, R., Wood, H., & Yang, T. (2019). Investigation of demographic factors in construction employees’ safety perceptions. KSCE Journal of Civil Engineering, 23, 2815-2828. https://doi.org/10.1007/s12205-019-2044-4
  • Hawkes, G., & Rowe, G. (2008). A characterisation of the methodology of qualitative research on the nature of perceived risk: trends and omissions. Journal of Risk Research, 11(5), 617-643. https://doi.org/10.1080/13669870701875776
  • Hosmer, D. W., Lemeshow, S., & Sturdivant, R. X. (2013). Applied logistic regression: Third Edition. New Jersey: John Wiley& Sons. https://doi.org/10.1002/9781118548387
  • Houdmont, J., Leka, S., & Sinclair, R. R. (2012). Contemporary occupational health psychology: Global perspectives on research and practice. New Jersey: John Wiley & Sons. https://doi.org/10.1002/9781119942849
  • Hung, W. T. (2018). Revisiting relationships between personality and job performance: working hard and working smart. Total Quality Management & Business Excellence, 31(7-8), 907-927. https://doi.org/10.1080/14783363.2018.1458608
  • Hung, Y. H., Smith‐Jackson, T., & Winchester, W. (2011). Use of attitude congruence to identify safety interventions for small residential builders. Construction Management and Economics, 29(2), 113-130. https://doi.org/10.1080/01446193.2010.521758
  • Ibrahim, A., Nnaji, C., & Shakouri, M. (2022). Influence of Sociodemographic Factors on Construction Fieldworkers’ Safety Risk Assessments. Sustainability, 14(1), 111. https://doi.org/10.3390/su14010111
  • Javed, A. A., Zhan, W., & Pan, W. (2018). A system dynamics framework of drivers and constraints to enhancing productivity of the Hong Kong construction industry. Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate, Singapore, 117-127. https://doi.org/10.1007/978-981-10-6190-5_12
  • Johnson, S., Cooper, C., Cartwright, S., Donald, I., Taylor, P., & Millet, C. (2005). The experience of work-related stress across occupations. Journal of Managerial Psychology, 20(2), 178-187. https://doi.org/10.1108/02683940510579803
  • Karimi, H., & Taghaddos, H. (2019). The influence of craft workers’ educational attainment and experience level in fatal injuries prevention in construction projects. Safety Science, 117, 417-427. https://doi.org/10.1016/j.ssci.2019.04.022
  • Ključnikov, A., Civelek, M., Klimeš, C., & Farana, R. (2022). Export risk perceptions of SMEs in selected Visegrad countries. Equilibrium. Quarterly Journal of Economics and Economic Policy, 17(1), 173-190. https://doi.org/10.24136/eq.2022.007
  • Kramarova, K., Švábová, L., & Gabrikova, B. (2022). Impacts of the Covid-19 crisis on unemployment in Slovakia: a statistically created counterfactual approach using the time series analysis. Equilibrium. Quarterly Journal of Economics and Economic Policy, 17(2), 343-389. https://doi.org/10.24136/eq.2022.012
  • László, K. D., Pikhart, H., Kopp, M. S., Bobak, M., Pajak, A., Malyutina, S., Salavecz, G., & Marmot, M. (2010). Job insecurity and health: A study of 16 European countries. Social Science & Medicine, 70(6), 867-874. https://doi.org/10.1016/j.socscimed.2009.11.022
  • Lesch, M. F., Rau, P. L. P., Zhao, Z., & Liu, C. (2009). A cross-cultural comparison of perceived hazard in response to warning components and configurations: US vs. China. Applied ergonomics, 40(5), 953-961. https://doi.org/10.1016/j.apergo.2009.02.004
  • Loke, Y. Y., Tan, W. J., Manickam, K., Heng, P., Tjong, C., Lim, G. K., Kheng, L. G., Gan, S. L., & Takala, J. (2013). Economic Cost of Work-Related Injuries and Health in Singapore. Singapore: WSH. https://www.researchgate.net/publication/259220728_Economic_Cost_of_Work-related_Injuries_and_Ill-health_in_Singapore
  • Long, J. S. (1997). Regression models for categorical and limited dependent variables. Sage Publications.
  • Luhmann, N. (1993). Deconstruction as second-order observing. New Literary History, 24(4), 763-782. https://luhmann.ir/wp-content/uploads/2021/07/Deconstruction-as-Second-Order-Observing.pdf
  • Maddala, G. S. (1983). Limited-Dependent and Qualitative Variables in Econometrics. Cambridge: Cambridge University Press.
  • Magnavita, N., & Heponiemi, T. (2011). Violence towards health care workers in a Public Health Care Facility in Italy: a repeated cross-sectional study. BMC Health Services Research, 12, 108. https://doi.org/10.1186/1472-6963-12-108
  • Marhavilas, P., Koulouriotis, D., Nikolaou, I., & Tsotoulidou, S. (2018). International Occupational Health and Safety Management-Systems Standards as a Frame for the Sustainability: Mapping the Territory. Sustainability, 10(10), 3663. https://doi.org/10.3390/su10103663
  • Martinko, M. J., Gundlach, M. J., & Douglas, S. C. (2003). Toward an integrative theory of counterproductive workplace behavior: a causal reasoning perspective. International Journal of Selection and Assessment, 10(1-2), 36-50. https://doi.org/10.1111/1468-2389.00192
  • McFadden, P., Neill, R., Mallett, J., Manthorpe, J., Gillen, P., Moriarty, J., Currie, D., Schroder, H., Ravalier, J., Nicholl, P., & Ross, J. (2022). Mental well-being and quality of working life in UK social workers before and during the COVID-19 pandemic: A propensity score matching study. The British Journal of Social Work, 52(5), 2814-2833. https://doi.org/10.1093/bjsw/bcab198
  • Meijman, T. F., & Mulder, G. (1998). Psychological aspects of workload. In P.J.D. Drenth, H. Thierry & C.J. de Wolff (Eds.), A Handbook of Work and Organizational Psychology. Volume 2: Work Psychology (pp. 5-33). Hove: Psychology Press. https://www.routledge.com/A-Handbook-of-Work-and-Organizational-Psychology-Volume-2-Work-Psychology/Wolff-Drenth-Henk/p/book/9780863775239
  • Meliá, J. L., Mearns, K., Silva, S. A., & Lima, M. L. (2008). Safety climate responses and the perceived risk of accidents in the construction industry. Safety Science, 46(6), 949-958. https://doi.org/10.1016/j.ssci.2007.11.004
  • Memarian, B., & Mitropoulos, P. (2013). Accidents in masonry construction: The contribution of production activities to accidents, and the effect on different worker groups. Safety Science, 59, 179-186. https://doi.org/10.1016/j.ssci.2013.05.013
  • Menard, S. (2001). Applied logistic regression analysis. Sage Publications. https://us.sagepub.com/en-us/nam/book/applied-logistic-regression-analysis-0
  • Meng, X., & Chan, A. H. S. (2020). Demographic influences on safety consciousness and safety citizenship behavior of construction workers. Safety Science, 129, 104835. https://doi.org/10.1016/j.ssci.2020.104835
  • Molamohamadi, Z., Ismail, N., Leman, Z., & Zulkifli, N. (2013). Sustainable Human Resource Management. Proceedings 3rd Annual International Conference on Human Resource Management and Professional Development in the Digital Age, 36-39. https://www.researchgate.net/publication/268460193_Sustainable_Human_Resource_Management
  • Mondi Group. (2013). Mondi sustainable development policy. Report Mondi Group. https://www.responsibilityreports.com/HostedData/ResponsibilityReportArchive/m/LSE_MNDI_2013.pdf
  • Morgan, J., Reidy, J., & Probst, T. (2019). Age Group Differences in Household Accident Risk Perceptions and Intentions to Reduce Hazards. International Journal of Environmental Research and Public Health, 16(12), 2237. https://doi.org/10.3390/ijerph16122237
  • Mučenski, V., Peško, I., Dražić, J., Ćirović, G., Trivunić, M., & Bibić, D. (2015). Construction workers injury risk assessment in relation to their experience and age. Procedia Engineering, 117, 525-533. https://doi.org/10.1016/j.proeng.2015.08.205
  • Namian, M., Albert, A., Zuluaga, C. M., & Behm, M. (2016). Role of safety training: Impact on hazard recognition and safety risk perception. Journal of Construction Engineering and Management, 142(12), 04016073. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001198
  • Naznin, F., Currie, G., & Logan, D., (2016). Exploring the impacts of factors contributing to tram-involved serious injury crashes on Melbourne tram routes. Accident Analysis & Prevention, 94, 238-244. https://doi.org/10.1016/j.aap.2016.06.008
  • Nelson, A., & Zega, Y. A. (2021). Influence of occupational health safety (OHS) culture, commitment management, OHS training on OHS performance in oil & gas contractors company in Batam island. Journal of Business Studies and Management Review, 4(2), 111-118. https://doi.org/10.22437/jbsmr.v4i2.12852
  • Niciejewska, M., & Kiriliuk, O. (2020). Occupational health and safety management in “small size” enterprises, with particular emphasis on hazards identification. Production Engineering Archives, 26(4), 195-201. https://doi.org/10.30657/pea.2020.26.34
  • Nieuwenhuijsen, K., Bruinvels, D., & Frings-Dresen, M. (2010). Psychosocial work environment and stress-related disorders, a systematic review. Occupational Medicine, 60(4), 277-286. https://doi.org/10.1093/occmed/kqq081
  • Nordlöf, H., Wiitavaara, B., Högberg, H., & Westerling, R. (2017). A cross-sectional study of factors influencing occupational health and safety management practices in companies. Safety Science, 95, 92-103. https://doi.org/10.1016/j.ssci.2017.02.008
  • Prades López, A. P. (1999). La Percepción social del riesgo: Algo más que discrepancia expertos/público. Nucleus, (26), 3. http://nucleus.cubaenergia.cu/index.php/nucleus/article/view/329
  • Privara, A. (2022). Economic growth and labour market in the European Union: lessons from COVID-19. Oeconomia Copernicana, 13(2), 355-377. https://doi.org/10.24136/oc.2022.011
  • Ravalier, J. M., McFadden, P., Gillen, P., Mallett, J., Nicholl, P., Neill, R., Manthorpe, J., Moriarty, J., Schroder, H., & Curry, D. (2023). Working Conditions and Well-Being across the COVID Pandemic in UK Social (Care) Workers. The British Journal of Social Work, 53(2), 1225-1242. https://doi.org/10.1093/bjsw/bcac214
  • Ricci, F., Bravo, G., Modenese, A., De Pasquale, F., Ferrari, D., Bello, M., Favero, G., Soddu, S., & Gobba, F. (2021). Risk perception and ethnic background in construction workers: results of a cross-sectional study in a group of trainees of a vocational school in Italy. European Journal of Investigation in Health, Psychology and Education, 11(1), 96-109. https://doi.org/10.3390/ejihpe11010008
  • Ricci, F., Modenese, A., Bravo, G., De Pasquale, F., Ferrari, D., Bello, M., Carozza, L., Longhi, F., Favero, G., Soddu, S., & Gobba, F. (2020). Ethnic background and risk perception in construction workers: Development and validation of an exploratory tool. International Journal of Occupational Medicine and Environmental Health, 33(2), 163-172. https://doi.org/10.13075/ijomeh.1896.01478
  • Rodríguez-Garzón, I., Lucas-Ruiz, V., Martínez-Fiestas, M., & Delgado-Padial, A. (2015). Association between perceived risk and training in the construction industry. Journal of Construction Engineering and Management, 141(5), 04014095. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000960
  • Rodríguez-Garzón, I., Martínez-Fiestas, M., Delgado-Padial, A., & Lucas-Ruiz, V. (2016). An exploratory analysis of perceived risk among construction workers in three Spanish-speaking countries. Journal of Construction Engineering and Management, 142(11), 04016066. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001187
  • Roelofs, C., Sprague-Martinez, L., Brunette, M., & Azaroff, L. (2011). A qualitative investigation of Hispanic construction worker perspectives on factors impacting worksite safety and risk. Environmental Health, 10, 1-9. https://doi.org/10.1186/1476-069X-10-84
  • Rosa, E. A. (1998). Metatheoretical foundations for post-normal risk. Journal of Risk Research, 1(1), 15-44. https://doi.org/10.1080/136698798377303
  • Rosa, E. A. (2003). The logical structure of the social amplification of risk framework (SARF): Metatheoretical foundations and policy implications. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511550461.003
  • Salminen, S. (2004). Have young workers more injuries than older ones? An international literature review. Journal of Safety Research, 35(5), 513-521. https://doi.org/10.1016/j.jsr.2004.08.005
  • Santini, Z. I., Becher, H., Jørgensen, M. B., Davidsen, M., Nielsen, L., Hinrichsen, C., Madsen, K. R., Meilstrup, Ch., Koyanagi, A., Stewart-Brown, S., McDaid, D., & Koushede, V. (2021). Economics of mental well-being: a prospective study estimating associated health care costs and sickness benefit transfers in Denmark. European Journal of Health Economics, 22, 1053-1065. https://doi.org/10.1007/s10198-021-01305-0
  • Senge, P. M., Smith, B., Kruschwitz, N., Laur, J., & Schley, S. (2008). The necessary revolution. How individuals and organizations are working together to create a sustainable world. New York: Doubleday. https://books.google.pl/books?id=xdeihHam61MC&printsec=frontcover&hl=pl&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false
  • Shrader-Frechette, K. (1994). Reductionist Approaches to Risk. In D.G. Mayo & R.D. Hollander (Eds.), Acceptable Evidence: Science and Values in Risk Management (pp. 218-248). Oxford: Oxford University Press. https://doi.org/10.1093/oso/9780195089295.003.0018
  • Siu, O. L., Phillips, D. R., & Leung, T. W. (2003). Age differences in safety attitudes and safety performance in Hong Kong construction workers. Journal of Safety Research, 34(2), 199-205. https://doi.org/10.1016/s0022-4375(02)00072-5
  • Sjöberg, L. (2003). Distal factors in risk perception. Journal of Risk Research, 6(3), 187-211.
  • Skvarciany, V., Lapinskaite, I., & Volskyte, G. (2021). Circular economy as assistance for sustainable development in OECD countries. Oeconomia Copernicana, 12(1), 11-34.
  • Slovic, P. (2016). The Perception of Risk. In R.J. Sternberg, S. Fiske & D. Foss (Eds.), Scientists Making a Difference: One Hundred Eminent Behavioral and Brain Scientists Talk about their Most Important Contributions (pp. 179-182). Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9781316422250.040
  • Slovic, P., Fischhoff, B., & Lichtenstein, S. (1982). Why study risk perception? Risk Analysis, 2(2), 83-93. https://doi.org/10.1111/j.1539-6924.1982.tb01369.x
  • Solé, C. (1998). Acerca de la modernización, la modernidad y elriesgo. Reis, 80, 111-132.
  • Stanisz, A. (2000). Przystępny kurs statystyczny tom II, StatSoft Polska. (in Polish).
  • Svabova, L., Tesarova, E. N., Durica, M., & Strakova, L. (2021). Evaluation of the impacts of the COVID-19 pandemic on the development of the unemployment rate in Slovakia: counterfactual before-after comparison. Equilibrium. Quarterly Journal of Economics and Economic Policy, 16(2), 261-284. https://doi.org/10.24136/eq.2021.010
  • Sweet, S. A., & Grace-Martin, K. (2012). Data Analysis with SPSS: A first course in applied statistics. London: Pearson Education. https://www.pearson.com/store/p/data-analysis-with-spss-a-first-course-in-applied-statistics/P200000003095/9780205019670
  • Szymczak, W. (2010). Modelowanie statystyczne. Warszawa: Wydawnictwo Naukowe PWN. (in Polish).
  • Trillo-Cabello, A. F., Carrillo-Castrillo, J. A., & Rubio-Romero, J. C. (2021). Perception of risk in construction. Exploring the factors that influence experts in occupational health and safety. Safety Science, 133, 104990. https://doi.org/10.1016/j.ssci.2020.104990
  • Urteaga, E., & Eizagirre, A. (2013). La construcción social del riesgo. Empiria. Revista de Metodología de las Ciencias Sociales, 25, 147-170. https://www.redalyc.org/pdf/2971/297125768006.pdf
  • Van der Noordt, M., IJzelenberg, H., Droomers, M., & Proper, K. I. (2014). Health effects of employment: a systematic review of prospective studies. Occupational and Environmental Medicine, 71(10), 730-736. https://doi.org/10.1136/oemed-2013-101891
  • Virglerova, Z., Ivanova, E., Dvorsky, J., Belas, J., & Krulický, T. (2021). Selected factors of internationalisation and their impact on the SME perception of the market risk. Oeconomia Copernicana, 12(4), 1011-1032. https://doi.org/10.24136/oc.2021.033
  • Wang, C., Wang, J., Wang, X., Yu, H., Bai, L., & Sun, Q. (2019). Exploring the impacts of factors contributing to unsafe behavior of coal miners. Safety Science, 115, 339-348. https://doi.org/10.1016/j.ssci.2019.02.003
  • WCED. (1987). Report of the World Commission on Environment and Development: Our Common Future. World Commission on Environment and Development. Oxford University Press. https://sustainabledevelopment.un.org/content/documents/5987our-common-future.pdf
  • WHO. (1994). Global strategy on occupational health for all. https://iris.who.int/bitstream/handle/10665/36845/WHO_OCH_95.1.pdf?sequence=1
  • WHO. (2012). Health indicators of sustainable jobs. Initial findings from a WHO Expert Consultation. https://cdn.who.int/media/docs/default-source/environment-climate-change-and-health/sustainable-development-indicator-jobs.pdf?sfvrsn=e40fc22c_2
  • Wiktorowicz, K. (2016). Regresja logistyczna w badaniach marketingowych. Warszawa: Wydawnictwo Naukowe PWN. (in Polish).
  • Wong, K., Chan, A. H. S., & Alabdulkarim, S. A. (2020). Gender Differences in Risk-Taking-Related Personality Traits and Risk Perception: Implications for Safety Training and Awareness Programs. In P. Arezes (Ed.), Advances in Safety Management and Human Factors (pp. 307- 316). Washington: Springer International Publishing. https://doi.org/10.1007/978-3-030-20497-6_29
  • Yembi Renault, B., Agumba, J. N., & Ansary, N. (2021). Regression analysis of the influence of demographic characteristics using risk management practices within South African small and medium construction enterprises. Journal of Engineering, Design and Technology, 19(6), 1505-1529. https://doi.org/10.1108/JEDT-08-2020-0332
  • Zou, P. X., & Zhang, G. (2009). Comparative study on the perception of construction safety risks in China and Australia. Journal of Construction Engineering and Management, 135(7), 620-627. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000019
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Bibliografia
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