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Job quality and well-being in OECD countries

    Xose Picatoste   Affiliation
    ; Mirela Ionela Aceleanu   Affiliation
    ; Andreea Claudia Șerban   Affiliation

Abstract

The lifestyle of world citizens has suffered an unprecedented impact as a result of the health crisis caused by the COVID-19. Economies and worldwide societies expect huge damages comparable to that caused by war. To the effects of this crisis on employment and wages must be added those produced in the workplace, with a foreseeable increase in job strain, not only as of the result of the health security reasons in the workplace but also to the effects on work-life balance, training and promotion possibilities, etc. This research analyses the impact of the economic situation on health, the influence of health on labour strain and on job quality. Using OECD data and a structural equation model, we have investigated the relationship between economy, health, quality of the job, work-life balance and well-being. The importance of security and safeness in the workplace is one of the items for evaluating job strain, particularly when they become even more crucial in pandemic times. This issue implicates not only the real risk of individual and social health but also a stressful situation for workers. The main contribution of our paper relies on establishing and prove causal relations among social and economic variables related to health, well-being and job quality, including safeness at the workplace. Considering that this relationship will probably become reinforced after a pandemic, like COVID-19, the actual relevance of the analysed topic and the achieved results becomes crucial.

Keyword : labour strain, job quality, healthcare, well-being, work-life balance, COVID-19

How to Cite
Picatoste, X., Aceleanu, M. I., & Șerban, A. C. (2021). Job quality and well-being in OECD countries. Technological and Economic Development of Economy, 27(3), 681-703. https://doi.org/10.3846/tede.2021.14731
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May 25, 2021
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References

Alsaywid, B., Housawi, A., Lytras, M., Halabi, H., Abuzenada, M., Alhaidar, S. A., & Abuznadah, W. (2020). Residents’ training in COVID-19 pandemic times: An integrated survey of educational process, institutional support, anxiety and depression by the Saudi Commission for Health Specialties (SCFHS). Sustainability, 12(24), 10530. https://doi.org/10.3390/su122410530

Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modelling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411

Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3). 3–30. https://pubs.aeaweb.org/doi/pdfplus/10.1257/jep.29.3.3

Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/BF02723327

Beauregard, T. A., & Henry, L. C. (2009). Making the link between work-life balance practices and organisational performance. Human Resource Management Review, 19(1), 9–22. https://doi.org/10.1016/j.hrmr.2008.09.001

Biddle, C. J. (2020). Epidemics and pandemics as high consequence events: Expanding leadership challenges and responsibilities in business continuity during the COVID-19 pandemic and beyond. Journal of Business Continuity & Emergency Planning, 14(1), 6–16. https://pubmed.ncbi.nlm.nih.gov/32847650/

Bliese, P. D., Edwards, J. R., & Sonnentag, S. (2017). Stress and well-being at work: A century of empirical trends reflecting theoretical and societal influences, Journal of Applied Psychology, 102(3), 389–402. https://doi.org/10.1037/apl0000109

Bonsaksen, T., Thørrisen, M. M., Skogen, J. C., & Aas, R. W. (2019). Who reported having a high-strain job, low-strain job, active job and passive job? The WIRUS Screening study. PLoS ONE, 14(12): e0227336. https://doi.org/10.1371/journal.pone.0227336

Cazes, S., Hijzen, A., & Saint-Martin, A. (2015). Measuring and assessing job quality: The OECD job quality framework. OECD. https://www.oecd-ilibrary.org/docserver/5jrp02kjw1mr-en.pdf?expires=1587504893&id=id&accname=guest&checksum=9B9CD0DC123E1038543179C8E3353042

Centra, M., & Gualtieri, V. (2014). The quality of work during the employment crisis: The Italian case. International Review of Sociology, 24(2), 241–258. https://doi.org/10.1080/03906701.2014.933025

Chesbrough, H. (2020). To recover faster from Covid-19, open up: Managerial implications from an open innovation perspective. Industrial Marketing Management, 88, 410–413. https://doi.org/10.1016/j.indmarman.2020.04.010

Clark, A. E. (2005). Your money or your life: Changing job quality in OECD countries. British Journal of Industrial Relations, 43(3), 377–400. https://doi.org/10.1111/j.1467-8543.2005.00361.x

Davoine, L., Erhel, C., & Guergoat-Lariviene, M. (2008). Monitoring quality in work: European employment strategy indicators and beyond. International Labour Review, 147(2–3), 163–198. https://doi.org/10.1111/j.1564-913X.2008.00030.x

de la Poza, E., Jodar, L., Merello, P., & Todoli-Signes, A. (2020). Explaining the rising precariat in Spain. Technological and Economic Development of Economy, 26(1), 165–185. https://doi.org/10.3846/tede.2020.11332

Deci, E. L., Olafsen, A. H., & Ryan, R. M. (2017). Self-determination theory in work organisations: The state of a science. Annual Review of Organizational Psychology and Organizational Behavior, 4, 19–43. https://doi.org/10.1146/annurev-orgpsych-032516-113108

Eberegbe, G., & Giovanis, E. (2020). Exploring the impact of job satisfaction domains on firm performance: Evidence from Great Britain. Journal of Applied Economics and Business Research, 10(2), 96–114. https://mpra.ub.uni-muenchen.de/104046/

Elci, E., & Uzunboylu, H. (2020). The development of a universal and cultural values scale for values education. South African Journal of Education, 40(Suppl 1), 1850. http://www.sajournalofeducation.co.za/index.php/saje/article/view/1850/955

Erhel, C., & Guergoat-Larivière, M. (2016). Innovation and job quality regimes: A joint typology for the EU (QuInnE Working Paper WP, 5-2-2016). QuInnE. http://tools.quinne.eu/static/quant_app/WP5_2_25112016_final.pdf

European Commission. (2010). Europe 2020. A strategy for smart, sustainable and inclusive growth. 3.3.2010, COM/2010/2020 final. European Commission, Brussels.

Findlay, P., Warhurst, C., Keep, E., & Lloyd, C. (2017). Opportunity knocks? The possibilities and levers for improving job quality. Work and Occupations, 44(1), 3–22. https://doi.org/10.1177/0730888416689813

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312

Gentilini, U., Almenfi, M., & Orton, I. (2020). Social protection and jobs responses to COVID-19: A realtime review of country measures (A “living paper”, version 1, March 20, 2020). World Bank. Social Protection and Jobs Global Practice. http://www.ugogentilini.net/wp-content/uploads/2020/03/global-review-of-social-protection-responses-to-COVID-19-2.pdf

Goods, C., Veen, A., & Barrat, T. (2019). “Is your gig any good?” Analysing job quality in the Australian platform-based food-delivery sector. Journal of Industrial Relations, 61(4), 502–527. https://doi.org/10.1177/0022185618817069

Green, F. (2006). Demanding work: The paradox of job quality in the affluent economy. Princeton University Press. https://doi.org/10.1515/9781400849437

Greenhaus, J. H., Collins, K. M., & Shaw, J. D. (2003). The relation between work-family balance and quality of life. Journal of Vocational Behavior, 63(3), 510–513. https://doi.org/10.1016/S0001-8791(02)00042-8

Hall, R. (2006). Temporary agency work and HRM in Australia: “Cooperation, specialisation and satisfaction for the good of all”? Personnel Review, 35(2), 158–174. https://doi.org/10.1108/00483480610645803

Hauff, S., & Kirchner, S. (2014). Cross-national differences and trends in job quality: A literature review and research agenda (Discussion paper No. 13, January 2013). University of Hamburg. https://inclusivegrowth.be/downloads/tna-activity-reports/c01-23-working-paper.pdf

Hessels, J., Rietveld, C. A., & van der Zwan, P. (2017). Self-employment and work-related stress: The mediating role of job control and job demand. Journal of Business Venturing, 32(2), 178–196. https://doi.org/10.1016/j.jbusvent.2016.10.007

Hijzen, A., & Menyhert, B. (2016). Measuring labour market security and its implications for individual well-being (OECD social, employment and migration Working Papers, No. 175). OECD Publishing. https://ideas.repec.org/p/oec/elsaab/175-en.html

Inanc, H. (2018). Unemployment, temporary work, and subjective well-being: The gendered effect of spousal labor market insecurity. American Sociological Review, 83(3), 536–566. https://doi.org/10.1177/0003122418772061

Inanc, H., Zhou, Y., Gallie, D., Felstead, A., & Green, F. (2015). Direct participation and employee learning at work. Work and Occupations, 42(4), 447–475. https://doi.org/10.1177/0730888415580650

International Labour Organization. (2013). Decent work indicators: Guidelines for producers and users of statistical and legal framework indicators. (ILO Manual 2nd version). Geneva. https://www.ilo.org/wcmsp5/groups/public/---dgreports/---integration/documents/publication/wcms_229374.pdf

International Labour Organization. (2020, March 18). COVID-19 and the world of work: Impact and policy responses. (ILO Monitor 1st ed.). Geneva. https://www.ilo.org/wcmsp5/groups/public/--dgreports/---dcomm/documents/briefingnote/wcms_738753.pdf

Jöreskog, K. G. (1973). A general method for estimating a linear structural equation system. In A. S. Goldberger & O. D. Duncan (Eds.), Structural equation mode/s in the social sciences (pp. 85–112). Seminar Prcss.

Jöreskog, K. G., & Sörbom, D. (1982). Recent developments in structural equation modeling. Journal of Marketing Research, 19(4), 404–416. https://doi.org/10.1177/002224378201900402

Jurevičienė, D., Skvarciany, V., & Lagunavičiūtė, A. (2020). Factors influencing individuals’ decisionmaking and causing financial crisis. Journal of Business Economics and Management, 21(4), 1149– 1164. https://doi.org/10.3846/jbem.2020.12890

Kalleberg, A. (2011). Good jobs, bad jobs: The rise of polarised and precarious employment systems in the United States, 1970s to 2000s. New York: Russell Sage Foundation. https://arnekalleberg.web.unc.edu/books/good-jobs-bad-jobs/

Kelliher, C., Richardson, J., & Boiarintseva, G. (2019). All of work? All of life? Reconceptualising worklife balance for the 21st century. Human Resource Management Journal, 29(2), 97–112. https://doi.org/10.1111/1748-8583.12215

Luecke, C., & Knabe, A. (2020). How much does others’ protection matter? Employment protection, future labour market prospects and well-being. Oxford Economic Papers, 72(3), 893–914. https://doi.org/10.1093/oep/gpz050

Moen, P., Kelly, E., Fan, W., Lee, S. R., Alemira, D., Kossek, E. E., & Buxton, O. M. (2016). Does a flexibility/support organisational initiative improve high-tech employees’ well-being? Evidence from the work, family, and health network. American Sociological Review, 81(1), 134–164. https://doi.org/10.1177/0003122415622391

Muñoz de Bustillo, R., Fernandez-Macias, E., Anton, J.-I., & Esteve, F. (2011). Measuring more than money: The social economics of job quality. Edward Elgar Publishing. https://doi.org/10.4337/9781849805919

Novo-Corti, I., López-Arranz, A., González-Laxe, F., & Picatoste, J. (2017). Well-being at work: Self perception of workers from a gender perspective. Economic Computation & Economic Cybernetics Studies & Research, 51(3), 161–177. https://ideas.repec.org/a/cys/ecocyb/v50y2017i3p161-177.html

OECD. (2013). How’s life? 2013: Measuring well-being. https://doi.org/10.1787/9789264201392-en

OECD. (2014). OECD Employment Outlook. OECD. https://read.oecd-ilibrary.org/employment/oecdemployment-outlook-2014_empl_outlook-2014-en#page251

OECD. (2016). How good is your job? Measuring and assessing job quality. OECD. https://www.oecd.org/statistics/job-quality.htm

OECD. (2020a). OECD employment Outlook 2020: Worker security and the COVID-19 crisis. OECD Publishing. https://doi.org/10.1787/1686c758-en

OECD. (2020b). OECD.Stat. Statistics – Official statistics of OECD. https://stats.oecd.org/index.aspx?queryid=82335

Osterman, P., & Shulman, B. (2011). Good jobs in America: Making work better for everyone. Russell Sage Foundation. https://www.jstor.org/stable/43550113?seq=1

Ozturk, M., DurdYev, S., Aras, O. N., Ismail, S., & Banaitienė, N. (2019). How effective are labor wages on labor productivity?: An empirical investigation on the construction industry of New Zealand. Technological and Economic Development of Economy, 26(1), 258–270. https://doi.org/10.3846/tede.2020.11917

Rusli, B. N., Edimansyah, B. A., & Naing, L. (2008). Working conditions, self-perceived stress, anxiety, depression and quality of life: A structural equation modelling approach. BMC Public Health, 8(1), 48. https://doi.org/10.1186/1471-2458-8-48

Saladino, V., Algeri, D., & Auriemma, V. (2020). The psychological and social impact of COVID-19: New perspectives of well-being. Frontiers in Psychology, 11, 577684. https://doi.org/10.3389/fpsyg.2020.577684

Schmitt, A., Den Hartog, D. N., & Belschak, F. D. (2016). Transformational leadership and proactive work behaviour: A moderated mediation model including work engagement and job strain. Journal of Occupational and Organizational Psychology, 89(3), 588–610. https://doi.org/10.1111/joop.12143

Sicilia M. A., & Lytras, M. (2005). Scenario-oriented reusable learning object characterisations. International Journal of Knowledge and Learning, 1(4), 332–341. https://doi.org/10.1504/IJKL.2005.008355

Simion, C. J., & Warner, J. T. (1992). Matchmaker, matchmaker – The effect of old boy networks on job match quality, earnings, and tenure. Journal of Labor Economics, 10(3), 306–330. https://doi.org/10.1086/298289

Spruit, M., & Lytras, M. (2018). Applied data science in patient-centric healthcare. Telematics and Informatics, 35(4), 643–653. https://doi.org/10.1016/j.tele.2018.04.002

Twerge, J. M. (2010). A review of the empirical evidence on generational differences in work attitudes. Journal of Business and Psychology, 25(2), 201–210. https://doi.org/10.1007/s10869-010-9165-6

UNICEF, ILO, UN Women. (2020). Family-friendly policies and other good workplace practices in the context of Covid-19: Key steps employers can take. https://www.unicef.org/media/66351/file/Familyfriendly-policies-covid-19-guidance-2020.pdf

United Nations. (2015). Handbook of measuring quality of employment: A statistical framework. New York and Geneva. http://www.unece.org/fileadmin/DAM/stats/publications/2015/ECE_CES_40.pdf

United Nations Statistics Division. (2020). How Covid-19 is changing the world: A statistical perspective. Committee for the Coordination of Statistical Activities. https://unstats.un.org/unsd/ccsa/documents/covid19-report-ccsa.pdf

Vander Elst, T., De Cuyper, N., Baillien, E., Niesen, W., & De Witte, H. (2016). Perceived control and psychological contract breach as explanations of the relationships between job insecurity, job strain and coping reactions: Towards a theoretical integration. Stress and Health, 32(2), 100–116. https://doi.org/10.1002/smi.2584

Vargas-Vera, M., & Lytras, M. (2008). Exploiting semantic web and ontologies for personalised learning services: Towards semantic web-enabled learning portals for real learning experiences. International Journal of Knowledge and Learning, 4(1), 1–17. https://doi.org/10.1504/IJKL.2008.019734

Warhurst C., Wright S., & Lyonette, C. (2017). Understanding and measuring job quality (Research report Part 1 – Thematic Literature Review). Warwick Institute for Employment Research. Warwick, Poland. https://www.cipd.co.uk/Images/understanding-and-measuring-job-quality-3_tcm18-33193.pdf

Warren, T., & Lyonette, C. (2018). Good, bad and very bad part-time jobs for women? Re-examining the importance of occupational class for job quality since the “Great Recession” in Britain. Work, Employment and Society, 32(4), 747–767. https://doi.org/10.1177/0950017018762289

Wright, S. (1934). The method of path coefficients. Annals of Mathematical Statistics, 5(3), 161–215. https://doi.org/10.1214/aoms/1177732676

Wright, S. (1960). Path coefficients and path regressions: Alternative or complementary concepts? Biometrics, 16(2), 189–202. https://doi.org/10.2307/2527551

Zhou, K. Z., Li, J. J., Zhou, N., & Su, C. T. (2008). Market orientation, job satisfaction, product quality, and firm performance: Evidence from China. Strategic Management Journal, 29(9), 985–1000. https://doi.org/10.1002/smj.700

Zikic, J., & Klehe, U. C. (2006). Job loss as a blessing in disguise: The role of career exploration and career planning in predicting reemployment quality. Journal of Vocational Behavior, 69(3), 391–409. https://doi.org/10.1016/j.jvb.2006.05.007