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Hybrid Connections: Unveiling Emotional Intelligence’s Influence on Hybrid Work Perceptions and Job Performance

Published online by Cambridge University Press:  16 September 2025

Ana Junça-Silva Open the ORCID record for Ana Junça-Silva [Opens in a new window]  and
Helena Damas
Ana Junça-Silva*
Affiliation:
Business Research Unit (BRU–IUL), https://ror.org/014837179 ISCTE-Instituto Universitário de Lisboa , Lisboa, Portugal
Helena Damas
Affiliation:
Escola Superior de Gestão de Tomar, https://ror.org/03gsfpp62 Instituto Politécnico de Tomar , Tomar, Portugal
*
Corresponding author: Ana Junça-Silva; Email: analjsilva@gmail.com
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Abstract

Hybrid work has been the most identified flexible working model to be adopted after the recent pandemic crisis. However, little is known about how and when it may impact job performance. Relying on the Job-Demands-Resources model, we developed a conceptual model testing the indirect effect of perceived effects of hybrid working models on job performance through decreased occupational stress. Furthermore, we also argued that emotional intelligence would play a moderating role in the former indirect relationship. The authors utilized a time-lagged survey approach, gathering data from 1055 hybrid workers employed at diverse financial organizations in Portugal across three distinct time points (T1, T2, T3). Quantitative analysis of the data was conducted using the SPSS PROCESS Macro and JASP software. The findings showed that a positive attitude toward hybrid work positively influenced job performance once it decreased employees’ occupational stress. This relationship was stronger for those who scored higher on emotional intelligence (versus lower scores). The findings enhance our comprehension of emotional intelligence’s significance within the nexus of hybrid work perception, performance, and stress. They underscore the pivotal role of fostering emotional intelligence as a fundamental component of hybrid work management strategies aimed at enhancing both employee well-being and performance in flexible working settings.

Keywords

emotional intelligencehybrid workjob performanceremote worktelework

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Type
Research Article
Information
The Spanish Journal of Psychology , Volume 28 , 2025 , e18
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Universidad Complutense de Madrid and Colegio Oficial de la Psicología de Madrid

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References

Adamovic, M. (2022). How does employee cultural background influence the effects of telework on job stress? The roles of power distance, individualism, and beliefs about telework. International Journal of Information Management, 62, 102437. https://doi.org/10.1016/j.ijinfomgt.2021.102437CrossRefGoogle Scholar
Almeida, F., Rodrigues, H., & Freitas, P. (2024). “No Need to Dress to Impress” evidence on teleworking during and after the pandemic: A systematic review. Administrative Sciences, 14(4), Article 76. https://doi.org/10.3390/admsci14040076CrossRefGoogle Scholar
Ameen, N., Papagiannidis, S., Hosany, A. S., & Gentina, E. (2023). It’s part of the “new normal”: Does a global pandemic change employees’ perception of teleworking?. Journal of Business Research, 164, Article 113956. https://doi.org/10.1016/j.jbusres.2023.113956CrossRefGoogle Scholar
Andrade, C., & Lousã, E. P. (2021). Telework and work–family conflict during COVID-19 lockdown in Portugal: The influence of job-related factors. Administrative Sciences, 11(103), 1–14. https://doi.org/10.3390/admsci11030103CrossRefGoogle Scholar
Bagozzi, R. P., & Yi, Y. (2012). Specification, evaluation, and interpretation of structural equation models. Journal of the Academy of Marketing Science, 40, 8–34. https://doi.org/10.1007/s11747-011-0278-xCrossRefGoogle Scholar
Bakker, A. B., & Demerouti, E. (2017). Job demands–resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273–285. https://doi.org/10.1037/ocp0000056CrossRefGoogle ScholarPubMed
Bakker, A. B., Demerouti, E., & Sanz-Vergel, A. (2023). Job Demands–resources Theory: Ten years later. Annual review of organizational psychology and organizational behavior, 10, 25–53. https://doi.org/10.1146/annurev-orgpsych-120920-053933CrossRefGoogle Scholar
Barros, C., Fernandes, C., & Baylina, P. (2025). Psychosocial risk factors and burnout among teachers: Can emotional intelligence make a difference?. Preprints 2025, 2025071561. https://doi.org/10.20944/preprints202507.1561.v1Google Scholar
Beauregard, T. A., Basile, K. A., & Canónico, E. (2019). Telework: Outcomes and facilitators for employees. In Landers, R. N. (Ed.), The Cambridge handbook of technology and employee behavior (Cambridge Handbooks in Psychology, 511–543). Cambridge University Press. https://doi.org/10.1017/9781108649636.020CrossRefGoogle Scholar
Beno, M. (2021). On-site and hybrid workplace culture of positivity and effectiveness: Case study from Austria. Academic Journal of Interdisciplinary Studies, 10(5), 331–339. https://doi.org/10.36941/ajis-2021-0142CrossRefGoogle Scholar
Borman, W. C., & Motowidlo, S. J. (1993). Expanding the criterion domain to include elements of contextual performance. In Schmitt, N., and Borman, W. C. (Eds.), Personnel selection in organizations (71–98). Jossey-Bass.Google Scholar
Brislin, R.W. (1986). The wording and translation of research instruments. In Lonner, W. L. & Berry, J. W. (Eds.). Field methods in cross-cultural research, (pp. 137–164). Sage Publications.Google Scholar
Campbell, S., Greenwood, M., Prior, S., Shearer, T., Walkem, K., Young, S., Bywaters, D., & Walker, K. (2020). Purposive sampling: complex or simple? Research case examples. Journal of Research in Nursing, 25(8), 652–661. https://doi.org/10.1177/1744987120927206CrossRefGoogle ScholarPubMed
Carmines, E., & Zeller, R. (1979). Reliability and validity assessment. Sage Publications.CrossRefGoogle Scholar
Charalampous, M., Grant, C. A., & Tramontano, C. (2023). Getting the measure of remote E-working: A revision and further validation of the E-work Life Scale. Employee Relations: The International Journal, 45(1), 45–68. https://doi.org/10.1108/ER-11-2021-0483CrossRefGoogle Scholar
Cherniss, C., & Goleman, D. (2001). The emotionally intelligent workplace: How to select for, measure, and improve emotional intelligence in individuals, groups, and organizations. Jossey-BassGoogle Scholar
Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24(4), 385–396. https://doi.org/10.2307/2136404CrossRefGoogle ScholarPubMed
Dawson, J. F., & Richter, A. W. (2006). Probing three-way interactions in moderated multiple regression: Development and application of a slope difference test. Journal of Applied Psychology, 91(4), 917–926. https://doi.org/10.1037/0021-9010.91.4.917CrossRefGoogle ScholarPubMed
De Vries, H., Tummers, L., & Bekkers, V. (2018). The benefits of teleworking in the public sector: Reality or rhetoric? Review of Public Personnel Administration, 39(4), 570–593. https://doi.org/10.1177/0734371X18760124CrossRefGoogle Scholar
Delanoeije, J., & Verbruggen, M. (2020). Between-person and within-person effects of telework: a quasi-field experiment. European Journal of Work and Organizational Psychology, 29(6), 795–808. https://doi.org/10.1080/1359432X.2020.1774557CrossRefGoogle Scholar
Demerouti, E., & Bakker, A. B. (2023). Job demands-resources theory in times of crises: New propositions. Organizational Psychology Review, 13(3), 209–236. https://doi.org/10.1177/20413866221135022CrossRefGoogle Scholar
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. https://doi.org/10.1037//0021-9010.86.3.499CrossRefGoogle ScholarPubMed
Doberstein, C., & Charbonneau, É. (2022). Alienation in pandemic-induced telework in the public sector. Public Personnel Management, 51(4), 491–515. https://doi.org/10.1177/00910260221114788CrossRefGoogle Scholar
Figueiredo, E., Ribeiro, C., Pereira, P., & Passos, C. (2021). Teletrabalho: Contributos e desafios para as organizações [Teleworking: Contributions and challenges for organizations]. Revista Psicologia: Organizações e Trabalho, 21(2), 1427–1438. https://doi.org/10.5935/rpot/2021.2.21642Google Scholar
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/10.1177/002224378101800104CrossRefGoogle Scholar
Freire, C. M. F. D. C., & Alves, L. C. (2023). Perceived schedule flexibility in the context of telework and its impact on stress and satisfaction with family life: The mediation effect of the family-work conflict. International Journal of Organizational Analysis, 32(9), 1913–1926. https://doi.org/10.1108/IJOA-06-2023-3786CrossRefGoogle Scholar
Gohoungodji, P., N’Dri, A. B., & Matos, A. L. B. (2023). What makes telework work? Evidence of success factors across two decades of empirical research: A systematic and critical review. The International Journal of Human Resources Management, 34(3), 605–649. https://doi.org/10.1080/09585192.2022.2112259CrossRefGoogle Scholar
Goleman, D. (1995). Emotional intelligence. Bantam Books.Google Scholar
Goñi-Legaz, S., Núñez, I., & Ollo-López, A. (2024). Home-based telework and job stress: The mediation effect of work extension. Personnel Review, 53(2), 545–561. https://doi.org/10.1108/PR-02-2022-0111CrossRefGoogle Scholar
Grant, C. A., Wallace, L. M., Spurgeon, P. C., Tramontano, C., & Charalampous, M. (2019). Construction and initial validation of the E-Work Life Scale to measure remote E-working. Employee Relations, 41(1), 16–33. https://doi.org/10.1108/ER-09-2017-0229CrossRefGoogle Scholar
Griffin, M. A., Neal, A., & Parker, S. K. (2007). A new model of work role performance: Positive behavior in uncertain and interdependent contexts. Academy of management journal, 50(2), 327–347. https://doi.org/10.5465/amj.2007.24634438CrossRefGoogle Scholar
Hamouche, S., & Parent-Lamarche, A. (2023). Teleworkers’ job performance: A study examining the role of age as an important diversity component of companies’ workforce. Journal of Organizational Effectiveness: People and Performance, 10(2), 293–311. https://doi.org/10.1108/JOEPP-03-2022-0057CrossRefGoogle Scholar
Hayes, A. F. (2018). Partial, conditional, and moderated moderated mediation: Quantification, inference, and interpretation. Communication Monographs, 85(1), 4–40. https://doi.org/10.1080/03637751.2017.1352100CrossRefGoogle Scholar
Hobfoll, S. E., Halbesleben, J., Neveu, J. P., & Westman, M. (2018). Conservation of resources in the organizational context: The reality of resources and their consequences. Annual Review of Organizational Psychology and Organizational Behavior, 5, 103–128. https://doi.org/10.1146/annurev-orgpsych-032117-104640CrossRefGoogle Scholar
Hodzic, S., Scharfen, J., Ripoll, P., Holling, H., & Zenasni, F. (2018). How efficient are emotional intelligence trainings: A meta-analysis. Emotion Review, 10(2), 138–148. https://doi.org/10.1177/1754073917708613CrossRefGoogle Scholar
Junça-Silva, A., Almeida, A., & Rebelo, C. (2024). The effect of telework on emotional exhaustion and task performance via work overload: The moderating role of self-leadership. International Journal of Manpower, 45(2), 398–421. https://doi.org/10.1108/IJM-08-2022-0352CrossRefGoogle Scholar
Junça-Silva, A., & Coelho, N. (2023). The moderating role of organizational culture on the relationship between workers’ attitudes towards telework and happiness. Kybernetes, 52(10), 4357–4374. https://doi.org/10.1108/K-02-2022-0231CrossRefGoogle Scholar
Junça-Silva, A., & Martins, S. (2023). Measuring counterproductive work behavior in telework settings: Development and validation of the Counterproductive [tele] Work Behavior Scale (CTwBS). International Journal of Organizational Analysis, 33(5), 928–948. https://doi.org/10.1108/IJOA-09-2023-3987CrossRefGoogle Scholar
Junça-Silva, A., Neves, P., & Caetano, A. (2024). Procrastination is not only a “thief of time”, but also a thief of happiness: It buffers the beneficial effects of telework on well-being via daily micro-events of IT workers. International Journal of Manpower, 45(1), 89–108. https://doi.org/10.1108/IJM-05-2022-0223CrossRefGoogle Scholar
Junça-Silva, A. (2023a). Where is the missing piece of the work-family conflict? The work-[pet] family conflict. Human Resource Development International, 27(2), 291–299. https://doi.org/10.1080/13678868.2023.2244712CrossRefGoogle Scholar
Junça-Silva, A. (2023b). The Telework Pet Scale: Development and psychometric properties. Journal of Veterinary Behavior, 63, 55–63. https://doi.org/10.1016/j.jveb.2023.05.004CrossRefGoogle Scholar
Junça-Silva, A. (2024). Should I pet or should I work? Human-animal interactions and (tele) work engagement: An exploration of the underlying within-level mechanisms. Personnel Review, 53(5), 1188–1207. https://doi.org/10.1108/PR-09-2022-0588CrossRefGoogle Scholar
Junça-Silva, A., Almeida, M., & Gomes, C. (2022). The role of dogs in the relationship between telework and performance via affect: A moderated mediation analysis. Animals, 12(13), 1727. https://doi.org/10.3390/ani12131727CrossRefGoogle ScholarPubMed
Junça-Silva, A., & Caetano, A. (2024). Uncertainty’s impact on adaptive performance in the post-COVID era: The moderating role of perceived leader’s effectiveness. BRQ Business Research Quarterly, 27(1), 40–56. https://doi.org/10.1177/23409444231202809CrossRefGoogle Scholar
Junça-Silva, A., Silva, S., & Caetano, A. (2022). Jobcrafting, meaningful work and performance: A moderated mediation approach of presenteeism. SN Business & Economics, 2(4), 31. https://doi.org/10.1007/s43546-022-00203-8CrossRefGoogle Scholar
Junça-Silva, A., Violante, C., & Brito, S. (2023). The role of personal and job resources for telework’s affective and behavioral outcomes. Kybernetes, 53(10), 3754–3773. https://doi.org/10.1108/K-01-2023-0147CrossRefGoogle Scholar
Kelly, H. (2010). What Jim Crow’s teachers could do: Educational capital and teachers’ work in under-resourced schools. The Urban Review, 42, 329–350. https://doi.org/10.1007/s11256-009-0132-3CrossRefGoogle Scholar
Kim, T., Mullins, L. B., & Yoon, T. (2021). Supervision of telework: A key to organizational performance. The American Review of Public Administration, 51(4), 263–277. https://doi.org/10.1177/0275074021992058CrossRefGoogle Scholar
Koopmans, L., Bernaards, C., Hildebrandt, V., Buuren, S. V., Beek, A. J., & Vet, H. C. (2013). Development of an individual work performance questionnaire. International Journal of Productivity and Performance Management, 62(1), 6–28. https://doi.org/10.1108/17410401311285273CrossRefGoogle Scholar
Kwon, M., & Jeon, S. H. (2020). Do leadership commitment and performance-oriented culture matter for federal teleworker satisfaction with telework programs? Review of Public Personnel Administration, 40(1), 36–55. https://doi.org/10.1177/0734371X18776049CrossRefGoogle Scholar
Lavrakas, P. J. (2008). Encyclopedia of survey research methods. Sage publications.10.4135/9781412963947CrossRefGoogle Scholar
Little, T. D., Jorgensen, T. D., Lang, K. M., & Moore, E. W. G. (2014). On the joys of missing data. Journal of Pediatric Psychology, 39(2), 151–162. https://doi.org/10.1093/jpepsy/jst048CrossRefGoogle ScholarPubMed
Lopes, S., Couto, R., Rodrigues, A., Sabino, A., Oliveira, Í. M., Dias, P. C., Leite, A., & Carvalho, V. S. (2024). Beyond work: The role of “family-friendly” practices in the subjective well-being of teleworkers and on-site workers in the Covid-19 pandemic. International Journal of Environmental Research and Public Health, 21(4), Article 447. https://doi.org/10.3390/ijerph21040447CrossRefGoogle ScholarPubMed
MacKenzie, S. B., & Podsakoff, P. M. (2012). Common method bias in marketing: Causes, mechanisms, and procedural remedies. Journal of Retailing, 88(4), 542–555. https://doi.org/10.1016/j.jretai.2012.08.001CrossRefGoogle Scholar
Mayer, J. D., Salovey, P., & Caruso, D. R. (2004). Emotional intelligence. Theory, findings, and implications. Psychological Inquiry, 15(3), 197–215. https://doi.org/10.1207/s15327965pli1503_02CrossRefGoogle Scholar
Miao, C., Humphrey, R. H., & Qian, S. (2017). A meta-analysis of emotional intelligence effects on job satisfaction mediated by job resources, and a test of moderators. Personality and Individual Differences, 116, 281–288. https://doi.org/10.1016/j.paid.2017.04.031CrossRefGoogle Scholar
Murmu, S., & Neelam, N. (2022). Impact of emotional intelligence and personality traits on managing team performance in virtual interface. Asian Journal of Business Ethics, 11(Suppl 1), 33–53. https://doi.org/10.1007/s13520-022-00154-1CrossRefGoogle Scholar
Nilles, J. M. (1997). Telework: Enabling distributed organizations. Implications for IT managers. Information Systems Management, 14(4), 7–14. https://doi.org/10.1080/10580539708907069CrossRefGoogle Scholar
Parent-Lamarche, A., & Boulet, M. (2021). Workers’ stress during the first lockdown: Consequences on job performance analyzed with a mediation model. Journal of Occupational and Environmental Medicine, 63(6), 469–475. https://doi.org/10.1097/JOM.0000000000002172CrossRefGoogle ScholarPubMed
Parent-Lamarche, A., & Saade, S. (2024). Interpersonal conflict and psychological well-being at work: The beneficial effects of teleworking and emotional intelligence. International Journal of Conflict Management, 35(3), 547–566. https://doi.org/10.1108/IJCMA-06-2023-0117CrossRefGoogle Scholar
Petrides, K. V., & Furnham, A. (2001). Trait emotional intelligence: Psychometric investigation with reference to established trait taxonomies. European Journal of Personality, 15(6), 425–448. https://doi.org/10.1002/per.416CrossRefGoogle Scholar
Pirsoul, T., Parmentier, M., Sovet, L., & Nils, F. (2023). Emotional intelligence and career-related outcomes: A meta-analysis. Human Resource Management Review, 33(3), Article 100967. https://doi.org/10.1016/j.hrmr.2023.100967CrossRefGoogle Scholar
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. https://doi.org/10.1037/0021-9010.88.5.879CrossRefGoogle ScholarPubMed
Rezvani, A., Barrett, R., & Khosravi, P. (2019). Investigating the relationships among team emotional intelligence, trust, conflict and team performance, Team Performance Management, 25 (1/2), 120–137. https://doi.org/10.1108/TPM-03-2018-0019CrossRefGoogle Scholar
Sadovyy, M., Sánchez-Gómez, M., & Bresó, E. (2021). COVID-19: How the stress generated by the pandemic may affect work performance through the moderating role of emotional intelligence. Personality and Individual Differences, 180, 110986. https://doi.org/10.1016/j.paid.2021.110986CrossRefGoogle ScholarPubMed
Salovey, P., & Mayer, J. D. (1990). Emotional intelligence. Imagination, Cognition and Personality, 9(3), 185–211. https://doi.org/10.2190/DUGG-P24E-52WK-6CDGCrossRefGoogle Scholar
Sánchez-Gómez, M., & Bréso, E. (2020). In pursuit of work performance: Testing the contribution of emotional intelligence and burnout. International Journal of Environmental Research and Public Health, 17(15), 5373. https://doi.org/10.3390/ijerph17155373CrossRefGoogle ScholarPubMed
Schutte, N. S., Malouff, J. M., Thorsteinsson, E. B., Bhullar, N., & Rooke, S. E. (2007). A meta-analytic investigation of the relationship between emotional intelligence and health. Personality and Individual Differences, 42(6), 921–933. https://doi.org/10.1016/j.paid.2006.09.003CrossRefGoogle Scholar
Shagirbasha, S., Iqbal, J., Madhan, K., Chaudhary, S., & Dhall, R. (2024). Workplace isolation during COVID-19 and work–family conflict among academicians: Interplay of psychological stress and organizational identification. International Journal of Manpower, 45(1), 133–154. https://doi.org/10.1108/IJM-04-2022-0190CrossRefGoogle Scholar
Sonnentag, S., Binnewies, C., & Mojza, E. J. (2010). Staying well and engaged when demands are high: The role of psychological detachment. Journal of Applied Psychology, 95(5), 965–976. https://doi.org/10.1037/a0020032CrossRefGoogle ScholarPubMed
Taser, D., Aydin, E., Torgaloz, A. O., & Rofcanin, Y. (2022). An examination of remote e-working and flow experience: The role of technostress and loneliness. Computers in Human Behavior, 127, 107020. https://doi.org/10.1016/j.chb.2021.107020CrossRefGoogle Scholar
Teng-Calleja, M., Mactal, M. T. D. G., & Caringal-Go, J. F. (2024). Examining employee experiences of hybrid work: An ecological approach. Personnel Review, 53(6), 1408–1424. https://doi.org/10.1108/PR-03-2023-0222CrossRefGoogle Scholar
Wang, X., Kim, S. H., & Mokhtarian, P. L. (2023). Teleworking behavior pre-, during, and expected post-COVID: Identification and empirical description of trajectory types. Travel Behaviour and Society, 33, 100628. https://doi.org/10.1016/j.tbs.2023.100628CrossRefGoogle Scholar
Wijayati, D. T., Rahman, Z., Rahman, M. F. W., Arifah, I. D. C., & Kautsar, A. (2022). A study of artificial intelligence on employee performance and work engagement: The moderating role of change leadership. International Journal of Manpower, 43(2), 486–512. https://doi.org/10.1108/IJM-07-2021-0423CrossRefGoogle Scholar
Williams, H. A. (2003). A mediated hierarchical regression analysis of factors related to research productivity of human resource development postsecondary faculty [Doctoral Dissertation, Louisiana State University]. http://etd01.lnx390.lsu.edu:8085/docs/available/etd-0326103-212409/Google Scholar
Wong, C. S., & Law, K. S. (2002). Wong and Law Emotional Intelligence Scale (WLEIS). APA PsycTests. https://doi.org/10.1037/t07398-000CrossRefGoogle Scholar
Wontorczyk, A., & Rożnowski, B. (2022). Remote, hybrid, and on-site work during the SARS-CoV-2 pandemic and the consequences for stress and work engagement. International Journal of Environmental Research and Public Health, 19(4), Article 2400. https://doi.org/10.3390/ijerph19042400CrossRefGoogle ScholarPubMed
Xu, X., Chen, P., Wang, J., Feng, J., Zhou, H., Li, X., Zhong, W., & Hao, P. (2020). Evolution of the novel coronavirus from the ongoing Wuhan outbreak and modeling of its spike protein for risk of human transmission. Science China Life Sciences, 63(3), 457–460. https://doi.org/10.1007/s11427-020-1637-5CrossRefGoogle ScholarPubMed