Exhaustion while teleworking during COVID-19: a moderated-mediation model of role clarity, self-efficacy, and task interdependence

• Authors: Loredana Mihalca , Lucia Lucia Ratiu , Gabriela Brendea , Daniel Metz , Mihaela Dragan , Florin Dobre

Abstracts

EN

Research background: The global COVID-19 pandemic created an unprecedented challenge not only for employees' well-being, but also for the nature of their work, as teleworking became the norm for many of them almost overnight. Thus, there is a need to a more fine-grained understanding of the specific job demands experienced while teleworking during COVID-19, and the specific resources that mitigate the detrimental effects of demands and help employees to adopt resilient responses during and beyond COVID-19. Purpose of the article: Drawing upon the job demands-resources model, the present study aims at investigating the link between work overload (a job demand) and employee well-being (i.e., burnout), considering role clarity (a job resource) as a mediator, and task interdependence and self-efficacy as two potential boundary conditions. Methods: In order to examine the link between work overload, role clarity and emotional exhaustion moderated by task interdependence and self-efficacy, we used survey data from 701 Romanian employees at a large information technology company, who worked from home during COVID-19. We employed regression-based path analysis to examine the hypothesized relations. Findings & value added: The results reveal that role clarity partially mediates the relation between work overload and emotional exhaustion while teleworking during COVID-19. Moreover, the results from the moderated mediation analysis show that role clarity, self-efficacy, and task interdependence interact in their effects on emotional exhaustion. This study has important theoretical and managerial implications for employee well-being that go beyond the pandemic. As this study shows, when high levels of workload and task interdependence cannot be avoided, employees' personal (self-efficacy) and job (role clarity) resources might be particularly useful to reduce their exhaustion while teleworking. Based on these results, managers can design better jobs for remote workers and more flexible work arrangements in the future.

Keywords

EN

teleworking during COVID-19; emotional exhaustion; role clarity; task interdependence; work overload

• Publisher: Instytut Badań Gospodarczych
• Journal: Oeconomia Copernicana
• Year: 2021
• Volume: 12
• Issue: 2
• Pages: 269-306

Dates

published

2021

Contributors

author

Loredana Mihalca

• Babes-Bolyai University

• https://orcid.org/0000000200797975

author

Lucia Lucia Ratiu

• Babes-Bolyai University

• https://orcid.org/0000000260616478

author

Gabriela Brendea

• Babes-Bolyai University

• https://orcid.org/0000000155114986

author

Daniel Metz

• Babes-Bolyai University

• https://orcid.org/0000000266846258

author

Mihaela Dragan

• Babes-Bolyai University

• https://orcid.org/0000000333170105

author

Florin Dobre

• Bucharest University of Economic Studies

• https://orcid.org/0000000177799488

References

• Ahorsu, D. K., Lin, C. Y., Imani, V., Saffari, M., Griffiths, M. D., & Pakpour, A. H. (2020). The fear of COVID-19 scale: development and initial validation. International Journal of Mental Health and Addiction. Advance online publicaion. doi: 10.1007/s11469-020-00270-8.
• Alarcon, G. M. (2011). A meta-analysis of burnout with job demands, resources, and attitudes. Journal of Vocational Behavior, 79(2), 549-562. doi: 10.1016/j.j vb.2011.03.007.
• Allen, T. D., Golden, T. D., & Shockley, K. M. (2015). How effective is telecommuting? Assessing the status of our scientific findings. Psychological Science in the Public Interest, 16(2), 40?68. doi: 10.1177/1529100615593273.
• Aubé, C., Rousseau, V., Mama, C., & Morin, E. M. (2009). Counterproductive behaviors and psychological well-being: the moderating effect of task interdependence. Journal of Business and Psychology, 24(3), 351?361. doi: 10.1007/s10869-009-9113-5.
• Bakker, A. B., & Demerouti, E. (2014). Job demands?resources theory. In P. Y. Chen & C. L. Cooper (Eds.). Work and wellbeing: wellbeing: a complete reference guide, Volume 3, Part 2. John Wiley & Sons, 1?28. doi: 10.1002/978 1118539415.wbwell019.
• Bakker, A. B., & Demerouti, E. (2017). Job demands?resources theory: taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273?285. doi: 10.1037/ocp0000056.
• Bakker, A. B., Demerouti, E., De Boer, E., & Schaufeli, W. B. (2003). Job demands and job resources as predictors of absence duration and frequency. Journal of Vocational Behavior, 62(2), 341?356. doi: 10.1016/S00 01-8791(02)00030-1.
• Bakker, A. B., Demerouti, E., & Euwema, M. C. (2005). Job resources buffer the impact of job demands on burnout. Journal of Occupational Health Psychology, 10(2), 170?180. doi: 10.1037/1076-8998.10.2.170.
• Bakker, A. B., Demerouti, E., & Verbeke, W. (2004). Using the job demands?resources model to predict burnout and performance. Human Resources Management, 43(1), 83?104. doi: 10.1002/hrm.20004.
• Bakker, A. B., Van Emmerik, H., & Van Riet, P. (2008). How job demands, resources, and burnout predict objective performance: a constructive replication. Anxiety, Stress & Coping, 21(3), 309?324. doi: 10.1080/106158008 01958637.
• Bandura, A. (1997). Self-efficacy: the exercise of control. New York, NY: W.H. Freeman
• Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238?246. doi: 10.1037/0033-2909.107.2.238.
• Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588?606. doi: 10.1037/0033-2909.88.3.588.
• Bernerth, J. B., & Aguinis, H. (2016). A critical review and best-practice recommendations for control variable usage. Personnel Psychology, 69(1), 229?283. doi: 10.1111/peps.12103.
• Bliese, P. D., & Castro, C. A. (2000). Role clarity, work overload and organizational support: Multilevel evidence of the importance of support. Work & Stress, 14(1), 65?73. doi: 10.1080/026783700417230.
• Bolisani, E., Scarso, E., Ipsen, C., Kirchner, K., & Hansen, J. P. (2020). Working from home during COVID-19 pandemic: lessons learned and issues. Management & Marketing. Challenges for the Knowledge Society, 15(s1), 458?476. doi: 10.2478/mmcks-2020-0027.
• Britt, T. W., Shuffler, M. L., Pegram, R. L., Xoxakos, P., Rosopa, P., Hirsh, E., & Jackson, W. (2021). Job demands and resources among healthcare professionals during virus pandemics: a review and examination of fluctuations in mental health strain during COVID-19. Applied Psychology, 70(1), 120?149. doi: 10.1111/apps.12304.
• Brown, K. (2020). Depressive symptoms, extreme anxiety, and burnout syndrome among medical personnel providing care to COVID-19 patients. Psychosociological Issues in Human Resource Management, 8(2), 7?16. doi: 10.22381/PI HRM8220201.
• Caillier, J. G. (2014). Toward a better understanding of the relationship between transformational leadership, public service motivation, mission valence, and employee performance: a preliminary study. Public Personnel Management, 43(2), 218?239. doi: 10.1177/0091026014528478.
• Carey, J., Pera, A., & Balica, R. (2020). Emotional fatigue, psychological distress, and clinically significant depression associated with being a COVID-19 frontline healthcare worker. Psychosociological Issues in Human Resource Management, 8(2), 27?36. doi:10.22381/PIHRM822020.
• Chen, G., Gully, S. M., & Eden, D. (2001). Validation of a new general self-efficacy scale. Organizational Research Methods, 4(1), 62?83. doi: 10.1177/10 9442810141004.
• Chong, S., Huang, Y., & Chang, C. H. D. (2020). Supporting interdependent telework employees: a moderated-mediation model linking daily COVID-19 task setbacks to next-day work withdrawal. Journal of Applied Psychology, 105(12), 1408?1422. doi: 10.1037/apl0000843.
• Cole, M. S., Walter, F., & Bruch, H. (2008). Affective mechanisms linking dysfunctional behavior to performance in work teams: a moderated mediation study. Journal of Applied Psychology, 93, 945?958. doi: 10.1037/0021-9010.9 3.5.945.
• Cordes, C. L., & Dougherty, T. W. (1993). A review and an integration of research on job burnout. Academy of Management Review, 18(4), 621?656. doi: 10.2307 /258593.
• Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86(3), 499?512. doi: 10.1037/0021-9010.86.3.499.
• De Clercq, D. (2019). Getting creative with resources: how resilience, task interdependence, and emotion sharing mitigate the damage of employee role ambiguity. Journal of Applied Behavioral Science, 55(3), 369?391. doi: 10.1177/0021886319853803.
• Dima, A. M., ?uclea, C. E., Vrânceanu, D. M., & ?igu, G. (2019). Sustainable social and individual implications of telework: a new insight into the Romanian labor market. Sustainability, 11(13), 3506. doi: https: 10.3390/su11133506.
• Dust, S. B., & Tims, M. (2020). Job crafting via decreasing hindrance demands: the motivating role of interdependence misfit and the facilitating role of autonomy. Applied Psychology, 69(3), 881?912. doi: 10.1111/apps.12212.
• Errichiello, L., & Pianese, T. (2021). The role of organizational support in effective remote work implementation in the Post-COVID era. In D. Wheatley, I. Hardill, & S. Buglass (Eds.). Handbook of research on remote work and worker well-being in the post-COVID-19 era. IGI Global, 221?242.
• Gajendran, R. S., & Harrison, D. A. (2007). The good, the bad, and the unknown about telecommuting: meta-analysis of psychological mediators and individual consequences. Journal of Applied Psychology, 92(6), 1524?1541. doi: 10.1037/ 0021-9010.92.6.1524.
• Gist, M. E., & Mitchell, T. R. (1992). Self-efficacy: a theoretical analysis of its determinants and malleability. Academy of Management Review, 17(2), 183?211. doi: 10.2307/258770.
• Golden, T. D., & Veiga, J. F. (2005). The impact of extent of telecommuting on job satisfaction: resolving inconsistent findings. Journal of Management, 31(2), 301?318. doi: 10.1177/0149206304271768.
• González-Sanguino, C., Ausín, B., Castellanos, M. Á., Saiz, J., López-Gómez, A., Ugidos, C., & Mu?oz, M. (2020). Mental health consequences during the initial stage of the 2020 coronavirus pandemic (COVID-19) in Spain. Brain, Behavior, and Immunity, 87, 172?176. doi: 10.1016/j.bbi.2020.05.040.
• Halbesleben, J. R., & Buckley, M. R. (2004). Burnout in organizational life. Journal of Management, 30(6), 859?879. doi: 10.1016/j.jm.2004.06.004.
• Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis; Publisher: Guilford Press, New-York, London.
• Hayes, A. F. (2018). Partial, conditional, and moderated moderated mediation: Quantification, inference, and interpretation. Communication Monographs, 85(1), 4?40. doi: 10.1080/03637751.2017.1352100.
• Hayes, A. F., & Cai, L. (2007). Using heteroskedasticity-consistent standard error estimators in OLS regression: an introduction and software implementation. Behavior Research Methods, 39, 709?722. doi: 10.3758/bf03192961.
• Heath, C., Sommerfield, A., & von Ungern?Sternberg, B. S. (2020). Resilience strategies to manage psychological distress among healthcare workers during the COVID?19 pandemic: a narrative review. Anaesthesia, 75(10), 1364?1371. doi: 10.1111/anae.15180.
• Hobfoll, S. E. (1989). Conservation of resources: a new attempt at conceptualizing stress. American Psychologist, 44(3), 513?524. doi: 10.1037/0003-066X.44.3 .513.
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1?55. doi: 10.1080/107 05519909540118.
• Ilies, R., Dimotakis, N., & De Pater, I. E. (2010). Psychological and physiological reactions to high workloads: implications for well?being. Personnel Psychology, 63(2), 407?436. doi: 10.1111/j.1744-6570.2010.01175.x.
• Ingusci, E., Signore, F., Giancaspro, M. L., Manuti, A., Molino, M., Russo, V., Zito, M., & Cortese, C. G. (2021). Workload, techno overload, and behavioral stress during COVID-19 emergency: the role of job crafting in remote workers. Frontiers in Psychology. Advance online publication. doi: 10.3389/fp syg.2021.655148.
• Jex, S. M., Bliese, P. D., Buzzell, S., & Primeau, J. (2001). The impact of self-efficacy on stressor?strain relations: coping style as an explanatory mechanism. Journal of Applied Psychology, 86(3), 401?409. doi: 10.1037/0021 -9010.86.3.401.
• Jex, S. M., & Gudanowski, D. M. (1992). Efficacy beliefs and work stress: an exploratory study. Journal of Organizational Behavior, 13(5), 509?517. doi: 10.1002/job.4030130506.
• Judge, T. A., Locke, E. A., Durham, C. C., & Kluger, A. N. (1998). Dispositional effects on job and life satisfaction: the role of core evaluations. Journal of Applied Psychology, 83(1), 17?34. doi: 10.1037/0021-9010.83.1.17.
• Karasek, R. (1990). Lower health risk with increased job control among white collar workers. Journal of Organizational Behavior, 11(3), 171?185. doi: 10.10 02/job.4030110302.
• Kelloway, E. K., & Barling, J. (1990). Item content versus item wording: disentangling role conflict and role ambiguity. Journal of Applied Psychology, 75(6), 738?742. doi: 10.1037/0021-9010.75.6.738.
• Kirkman, B. L., & Chen, G. (2011). Maximizing your data or data slicing? Recommendations for managing multiple submissions from the same dataset. Management and Organization Review, 7(3), 433?446. doi: 10.1111/j.1 740-8784.2011.00228.x.
• Kniffin, K. M., Narayanan, J., Anseel, F., Antonakis, J., Ashford, S. P., Bakker, A. B., Bamberger, P., Bapuji, H., Bhave, D. P., Choi, V. K., Creary, S. J., Demerouti, E., Flynn, F. J., Gelfand, M. J., Greer, L. L., Johns, G., Kesebir, S., Klein, P. G., Lee, S. Y., Ozcelik, H., Petriglieri, J. L., Rothbard, N. P., Rudolph, C. W., Shaw, J. D., Sirola, N., Wanberg, C. R., Whillans, A., Wilmot, M. P., van Vugt, M. (2020). COVID-19 and the workplace: implications, issues, and insights for future research and action. American Psychologist, 76(1), 63?77. doi: 10.1037/amp0000716.
• Korzeb, Z., & Niedziółka, P. (2020). Resistance of commercial banks to the crisis caused by the COVID-19 pandemic: the case of Poland. Equilibrium. Quarterly Journal of Economics and Economic Policy, 15(2), 205?234. doi: 10.24136/eq. 2020.010.
• Kuntz, J. C. (2021). Resilience in times of global pandemic: Steering recovery and thriving trajectories. Applied Psychology, 70(1), 188?215. doi: 10.1111/apps.12 296.
• Kufel, T. (2020). ARIMA-based forecasting of the dynamics of confirmed Covid-19 cases for selected European countries. Equilibrium. Quarterly Journal of Economics and Economic Policy, 15(2), 181?204. doi:10.24136/eq.2020.009.
• Lang, J., Thomas, J. L., Bliese, P. D., & Adler, A. B. (2007). Job demands and job performance: the mediating effect of psychological and physical strain and the moderating effect of role clarity. Journal of Occupational Health Psychology, 12(2), 116?124. doi: 10.1037/1076-8998.12.2.116.
• Lee, R. T., & Ashforth, B. E. (1996). A meta-analytic examination of the correlates of the three dimensions of job burnout. Journal of Applied Psychology, 81(2), 123?133. doi: 10.1037/0021-9010.81.2.123.
• Long, J. S, & Ervin, L. H. (2000). Using heteroskedasticity-consistent standard errors in the linear regression model. American Statistician, 54(3), 217?224. doi: 10.2307/2685594.
• MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004). Confidence limits for the indirect effect: distribution of the product and resampling methods. Multivariate Behavioral Research, 39, 99?128. doi: 10.1207/s15327906mbr 3901_4.
• Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2001). Job burnout. Annual Review of Psychology, 52(1), 397?422. doi: 10.1146/annurev.psych.52.1.397.
• Mihalca, L., Irimias, T., Brendea, G., Teleworking during Covid-19: antecedents of perceived work productivity, job performance, and satisfaction with telework. (submitted).
• Mihalca, L., Ratiu, L., Mengelkamp, C., Brendea, G., Metz, D. Self-management while teleworking during COVID-19: a moderated-mediation model. (submitted).
• Moore, J. E. (2000). One road to turnover: an examination of work exhaustion in technology professionals. MIS Quarterly, 24(1), 141?168. doi: 10.2307/325 0982.
• Moore, C., & Kolencik, J. (2020). Acute depression, extreme anxiety, and prolonged stress among COVID-19 frontline healthcare workers. Psychosociological Issues in Human Resource Management, 8(1), 55?60. doi: 10.22381/PIHRM8120209.
• Ojo, A. O., Fawehinmi, O., & Yusliza, M. Y. (2021). Examining the predictors of resilience and work engagement during the covid-19 pandemic. Sustainability, 13(5), 2902. doi: 10.3390/su13052902.
• Perrewé, P. L., Hochwarter, W. A., Rossi, A. M., Wallace, A., Maignan, I., Castro, S. L., Ralston, D. A. Westman, M., Vollmer, G., Tang, M., Wan, P., & Van Deusen, C. A. (2020). Are work stress relationships universal? A nine-region examination of role stressors, general self-efficacy, and burnout. Journal of International Management, 8(2), 163?187. doi: 10.1016/S1075-4253(02)0005 2-2.
• Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879?903. doi: 10.1037/0021-9010.88.5.879.
• Podsakoff, P. M., & Organ, D. W. (1986). Self-reports in organizational research: problems and prospects. Journal of Management, 12(4), 531?544. doi: 10.117 7/014920638601200408.
• Raveendran, M., Silvestri, L., & Gulati, R. (2020). The role of interdependence in the micro-foundations of organization design: task, goal, and knowledge interdependence. Academy of Management Annals, 14(2), 828?868. doi: 10.546 5/annals.2018.0015.
• Rigotti, T., Yang, L. Q., Jiang, Z., Newman, A., De Cuyper, N., & Sekiguchi, T. (2021). Work?related psychosocial risk factors and coping resources during the COVID?19 crisis. Applied Psychology, 70(1), 3?15. doi: 10.1111/apps.12307.
• Rizzo, J. R., House, R. J., & Lirtzman, S. I. (1970). Role conflict and ambiguity in complex organizations. Administrative Science Quarterly, 15(2), 150-?163. doi: 10.2307/2391486.
• Rubino, C., Luksyte, A., Perry, S. J., & Volpone, S. D. (2009). How do stressors lead to burnout? The mediating role of motivation. Journal of Occupational Health Psychology, 14(3), 289?304. doi: 10.1037/a0015284.
• Rudolph, C. W., Allan, B., Clark, M., Hertel, G., Hirschi, A., Kunze, F., Shockley, K., Shoss, M., Sonnentag, S., & Zacher, H. (2020). Pandemics: implications for research and practice in industrial and organizational psychology. PsyArXiv Preprints. doi: 10.31234/osf.io/k8us2.
• Russell, D., Peplau, L. A., & Cutrona, C. E. (1980). The revised UCLA loneliness scale: concurrent and discriminant validity evidence. Journal of Personality and Social Psychology, 39(3), 472?480. doi: 10.1037/0022-3514.39.3.472.
• Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68?78. doi: 10.1037110003-066X.55.1.68.
• Salanova, M., Peiró, J. M., & Schaufeli, W. B. (2002). Self-efficacy specificity and burnout among information technology workers: an extension of the job demand-control model. European Journal of Work And Organizational Psychology, 11(1), 1?25. doi: 10.1080/13594320143000735.
• Schaubroeck, J., & Merritt, D. E. (1997). Divergent effects of job control on coping with work stressors: the key role of self-efficacy. Academy of Management Journal, 40(3), 738?754. doi: 10.5465/257061.
• Schaufeli, W., & Enzmann, D. (1998). The burnout companion to study and practice: a critical analysis. London: Taylor & Francis LTD, Grundpowder Square.
• Schaufeli, W., Leiter, M., Maslach, C., & Jackson, S. (1996). Maslach burnout inventory-general survey. In C. Maslach, S. E. Jackson & M. P. Leiter (Eds.). The Maslach burnout inventory: test manual. Palo Alto: Consulting Psychologists Press.
• Schaufeli, W. B., & Van Dierendonck, D. (1993). The construct validity of two burnout measures. Journal of Organiational Behavior, 14(7), 631?647. doi: 10.1002/job.4030140703.
• Segers, C. (2020). Psychological resilience, burnout syndrome, and stress-related psychiatric disorders among healthcare professionals during the COVID-19 Crisis. Psychosociological Issues in Human Resource Management, 8(1), 7?12. doi: 10.22381/PIHRM8120201.
• Siu, O. L., Lu, C. Q., & Spector, P. E. (2007). Employees? well?being in Greater China: the direct and moderating effects of general self?efficacy. Applied Psychology, 56(2), 288?301. doi: 10.1111/j.1464-0597.2006.00255.x.
• Soto, C. J., & John, O. P. (2017). The next Big Five Inventory (BFI-2): developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and predictive power. Journal of Personality and Social Psychology, 113(1), 117?143. doi: 10.1037/pspp0000096.
• Spector, P. E., & Jex, S. M. (1998). Development of four self-report measures of job stressors and strain: interpersonal conflict at work scale, organizational constraints scale, quantitative workload inventory, and physical symptoms inventory. Journal of Occupational Health Psychology, 3(4), 356?367. doi: 10.1037/1076-8998.3.4.356.
• Steiger, J. H. (1990). Structural model evaluation and modification: an interval estimation approach. Multivariate Behavioral Research, 25(2), 173?180. doi: 10.1207/s15327906mbr2502_4.
• Stetz, T. A., Stetz, M. C., & Bliese, P. D. (2006). The importance of self-efficacy in the moderating effects of social support on stressor?strain relationships. Work & Stress, 20(1), 49?59. doi: 10.1080/02678370600624039.
• Tri, H. T., Nga, V. T., & Sipko, J. (2019). Predicting overall staffs? creativity and innovative work behavior in banking. Management & Marketing. Challenges for the Knowledge Society, 14(2), 188?202. doi: 10.2478/mmcks-2019-0013.
• Van der Vegt, G. S., Emans, B. J., & Van De Vliert, E. (2006). Patterns of interdependence in work teams: a two?level investigation of the relations with job and team satisfaction. Personnel Psychology, 54(1), 51?69. doi: 10.1111/j. 1744-6570.2001.tb00085.x.
• Van Der Vegt, G. S., Van De Vliert, E., & Oosterhof, A. (2003). Informational dissimilarity and organizational citizenship behavior: the role of intrateam interdependence and team identification. Academy of Management Journal, 46(6), 715?727. doi: 10.2307/30040663.
• Vullinghs, J. T., De Hoogh, A. H., Den Hartog, D. N., & Boon, C. (2020). Ethical and passive leadership and their joint relationships with burnout via role clarity and role overload. Journal of Business Ethics, 165(4), 719?733. doi: 10.1007/s1 0551-018-4084-y.
• Wang, B., Liu, Y., Qian, J., & Parker, S. K. (2021). Achieving effective remote working during the COVID-19 pandemic: a work design perspective. Applied Psychology: an International Review, 70(1), 16?59. doi: 10.1111/apps.12290.
• Welbourne, J. L., & Sariol, A. M. (2017). When does incivility lead to counterproductive work behavior? Roles of job involvement, task interdependence, and gender. Journal of Occupational Health Psychology, 22(2), 194?206. doi: 10.1037/ocp0000029.
• Wong, S. S., DeSanctis, G., & Staudenmayer, N. (2007). The relationship between task interdependency and role stress: a revisit of the job demands?control model. Journal of Management Studies, 44(2), 284?303. doi: 10.1111/j.1467-6486.2007.00689.x.
• Xanthopoulou, D., Bakker, A. B., Demerouti, E., & Schaufeli, W. B. (2007). The role of personal resources in the job demands-resources model. International Journal of Stress Management, 14(2), 121?141. doi: 10.1037/1072-5245.14 .2.121.
• Xanthopoulou, D., Bakker, A. B., Demerouti, E., & Schaufeli, W. B. (2009). Reciprocal relationships between job resources, personal resources, and work engagement. Journal of Vocational Behavior, 74(3), 235?244. doi: 10.1016/j.jv b.2008.11.003.
• Zinecker, M., Doubravský, K., Balcerzak, A.P., Pietrzak, M. B., & Dohnal, M. (2021). The Covid-19 disease and policy response to mitigate the economic impact in the EU: an exploratory study based on qualitative trend analysis. Technological and Economic Development of Economy, 27(3), 742?762. doi: 10.3846/tede.2021.14585.

Identifiers

DOI

10.24136/oc.2021.010

Biblioteka Nauki

19233655