THE ASCENDENCY OF EMOTIONAL INTELLIGENCE ON ACADEMIC TEACHING STAFF STRESS WITH THE MEDIATING ROLE OF PSYCHOLOGICAL CAPITAL
DOI:
https://doi.org/10.2478/eoik-2024-0033Keywords:
Occupational stress, Emotional Intelligence, Academic teaching faculties, Psychological Capital, Partial Least Square Struc- tural Equation ModellingAbstract
Purpose: According to the Workplace Health Reports 2023, around
76% of employees worldwide have experienced moderate-to-high
stress levels. Around 26% of Indians are stressed due to their current
work environment with long working hours, lack of job security, low
wages, and growing competition. It is often believed that teaching is an
extremely difficult job, in particular, academic staff experience a lot of
stress due to several stressors. Emotional intelligence is a set of non-
cognitive abilities, to effectively handle environmental demands and
stresses. The current investigation seeks to project the effect of psy-
chological capital as a mediator linking emotional intelligence (EI) and
occupational stress to academic teaching faculties in Chennai City.
Research Methodology: The proposed study used a questionnaire pre-
pared, and distributed among college faculties of various levels of 325
respondents in Chennai city.
Findings: The research results indicate that while psychological capital
acts as a mediating factor in the association between EI and occupation-
al stress, EI itself has a favorable impact on both psychological capital
and occupational stress.
Research Limitations: We suggest delving further into this in sub-
sequent research to ascertain the degree to which the findings may be
generalized outside the study population. Secondly, we neglected to ex-
amine the influence of additional work-related stressors on the degree
of work-related stress.
Practical/Social Implications: The investigation’s implications can be
used by top management authorities of private colleges and universities
to concentrate on the enhancement of EI and how it reduces the work-
place stress of teaching faculties with the mediating variable as psy-
chological capital, which improves the productivity of the employees.
References
Achyutha, S., & Suneetha, V. L. (2024). A study on the effect of job satisfaction, stress, and emotional
intelligence on job performance among HEI faculty members. In Proceedings of the 3rd Inter-
national Conference on Reinventing Business Practices, Start-ups and Sustainability (ICRBSS
(pp. 603–615). Atlantis Press International BV.
https://doi.org/10.2991/978-94-6463-374-0_51
Alqudah, M. K. m., & Yusof, Y. (2024). Improving environmental performance through innovative ac-
ademic citizenship behaviour: green training and development, green recruitment and selection
as antecedents in a Jordanian Government university. Economics, 0(0).
https://doi.org/10.2478/eoik-2024-0002
Antoniou, A.-S., Polychroni, F., & Vlachakis, A.-N. (2006). Gender and age differences in occupational
stress and professional burnout between primary and high‐school teachers in Greece. Journal of
Managerial Psychology, 21(7), 682–690. https://doi.org/10.1108/02683940610690213
Bell, A. S., Rajendran, D., & Theiler, S. (2012). Job stress, wellbeing, work-life balance and work-life
conflict among Australian academics. E-Journal of Applied Psychology: Clinical and Social
Issues, 8(1). https://doi.org/10.7790/ejap.v8i1.320
Byrne, B. M. (2013). Structural equation modeling with Mplus: Basic concepts, applications, and pro-
gramming. https://doi.org/10.4324/9780203807644
Christopher Westland, J. (2010). Lower bounds on sample size in structural equation modeling. Elec-
tronic Commerce Research and Applications, 9(6), 476–487.
https://doi.org/10.1016/j.elerap.2010.07.003
COMMENTARIES on “seven myths about emotional intelligence” and “emotional intelligence: Theo-
ry, findings, and implications.” (2004). Psychological Inquiry, 15(3), 216–238.
https://doi.org/10.1207/s15327965pli1503_03
Crome, E., Meyer, L., Bosanquet, A., & Hughes, L. (2019). Improving engagement in an early career
academic setting: can existing models guide early career academic support strategies? Higher
Education Research & Development, 38(4), 717–732.
https://doi.org/10.1080/07294360.2019.1576597
Culver, D. (2005). A review of Emotional Intelligence by Daniel Goleman: implications for technical ed-
ucation. FIE ’98. 28th Annual Frontiers in Education Conference. Moving from “Teacher-Cen-
tered” to “Learner-Centered” Education. Conference Proceedings (Cat. No.98CH36214).
https://doi.org/ 10.1109/FIE.1998.738818
Dâmbean, C. A., & Gabor, M. R. (2021). Implications of emotional intelligence in human resource man-
agement. Economics, 9(2), 73–90. https://doi.org/10.2478/eoik-2021-0016
Fong, L., & Law, R. (2013). Hair, J. f. jr., hult, G. t. m., Ringle, C. m., Sarstedt, M. (2014). A primer on
partial least squares structural equation modeling (PLS-SEM). Sage publications. ISBN: 978-1-
-1744-4. 307 pp. European Journal of Tourism Research, 6(2), 211–213.
https://doi.org/10.54055/ejtr.v6i2.134
Gamage, A., De Alwis Seneviratne, R., & Hanna, F. (2016). The effort-reward imbalance questionnaire
in Sinhalese: Translation, validation and psychometric properties in administrators. Psycholog-
ical Studies, 61(2), 96–102. https://doi.org/10.1007/s12646-016-0355-9
Gillespie, N. A., Walsh, M., Winefield, A. H., Dua, J., & Stough, C. (2001). Occupational stress in
universities: staff perceptions of the causes, consequences and moderators of stress. Work and
Stress, 15(1), 53–72. https://doi.org/10.1080/02678370110062449
Gong, Z., Chen, Y., & Wang, Y. (2019). The influence of emotional intelligence on job burnout and job
performance: Mediating effect of psychological capital. Frontiers in Psychology, 10.
https://doi.org/10.3389/fpsyg.2019.02707
Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen,
D. J., Jr, Hair, J. F., Hult, G. T. M., & Calantone, R. J. (2014). Common beliefs and reality about
PLS: Comments on Rönkkö and Evermann (2013). Organizational Research Methods, 17(2),
–209. https://doi.org/10.1177/1094428114526928
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validi-
ty in variance-based structural equation modeling. Journal of the Academy of Marketing Sci-
ence, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Hu, L.-T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to under
parameterized model misspecification. Psychological Methods, 3(4), 424–453.
https://doi.org/10.1037/1082-989x.3.4.424
Hu, L.-T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Con-
ventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary
Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Iriarte Redín, C., & Erro-Garcés, A. (2020). Stress in teaching professionals across Europe. Internation-
al Journal of Educational Research, 103(101623), 101623.
https://doi.org/10.1016/j.ijer.2020.101623
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
Jumani, Z. A., & Muhamad, N. (2023). Development and validation of key antecedents of religious
brand attitude: a cross-cultural quantitative analysis using smart PLS. Journal of Islamic Mar-
keting, 14(11), 2771–2797. https://doi.org/10.1108/jima-06-2022-0177
Khuong, M. N., & Yen, V. H. (2016). Investigate the Effects of Job Stress on Employee Job Perfor-
mance-A Case Study at Dong Xuyen Industrial Zone. Vietnam. International Journal of Trade,
Economics and Finance, 7, 31–37. https://doi.org/10.18178/ijtef.2016.7.2.495
Kinman, G. (2019). Effort-reward imbalance in academic employees: Examining different reward sys-
tems. International Journal of Stress Management, 26(2), 184–192.
https://doi.org/10.1037/str0000128
Kock, F., Berbekova, A., & Assaf, A. G. (2021). Understanding and managing the threat of common
method bias: Detection, prevention and control. Tourism Management, 86(104330), 104330.
https://doi.org/10.1016/j.tourman.2021.104330
Kundi, Y. M., Sardar, S., & Badar, K. (2021). Linking performance pressure to employee work engage-
ment: The moderating role of emotional stability. Personnel Review.
https://doi.org/10.1108/PR-05-2020-0313
Mark, G., & Smith, A. P. (2012). Effects of occupational stress, job characteristics, coping, and attribu-
tional style on the mental health and job satisfaction of university employees. Anxiety, Stress,
and Coping, 25(1), 63–78. https://doi.org/10.1080/10615806.2010.548088
Mayer, J. D., Caruso, D. R., & Salovey, P. (1999). Emotional intelligence meets traditional standards for
an intelligence. Intelligence, 27(4), 267–298. https://doi.org/10.1016/s0160-2896(99)00016-1
Mayer, J. D., & Salovey, P. (1993). The intelligence of emotional intelligence. Intelligence, 17(4), 433–
https://doi.org/10.1016/0160-2896(93)90010-3
Mayer, J., DiPaolo, M., & Salovey, P. (1990). Perceiving affective content in ambiguous visual stimuli:
A component of emotional intelligence. Journal of Personality Assessment, 54(3), 772–781.
https://doi.org/10.1080/00223891.1990.9674037
McCarthy, C. J. (2019). Teacher stress: Balancing demands and resources. Phi Delta Kappan, 101(3),
–14. https://doi.org/10.1177/0031721719885909
Mearns, J., & Cain, J. E. (2003). Relationships between teachers’ occupational stress and their burnout
and distress: Roles of coping and negative mood regulation expectancies. Anxiety, Stress, and
Coping, 16(1), 71–82. https://doi.org/10.1080/1061580021000057040
Meeks, K., Peak, A. S., & Dreihaus, A. (2023). Depression, anxiety, and stress among students, faculty,
and staff. Journal of American College Health: J of ACH, 71(2), 348–354.
https://doi.org/10.1080/07448481.2021.1891913
Nisar, S. K., & Rasheed, M. I. (2020). Stress and performance: Investigating relationship between occu-
pational stress, career satisfaction, and job performance of police employees. Journal of Public
Affairs, 20(1), e1986. https://doi.org/10.1002/pa.1986
Nishad Nawaz , Vijayakumar Gajendera, Uma Maheswari Gopinath, Venkatesan Tharanya. (2024). Nex-
us between emotional intelligence and occupational stress: Role of workplace spirituality among
teaching fraternity. Asia Pacific Management Rev. https://doi.org/10.1016/j.apmrv.2023.11.001
Rajendran, N., Watt, H. M. G., & Richardson, P. W. (2020). Teacher burnout and turnover intent. Aus-
tralian Educational Researcher, 47(3), 477–500. https://doi.org/10.1007/s13384-019-00371-x
Regy, M. M., & Ramesh, N. (2024). Emotional intelligence and occupational stress among nursing pro-
fessionals in tertiary care hospitals of Bangalore: A multicentric, cross-sectional study. Indian
Journal of Occupational and Environmental Medicine, 28(1), 33–37.
https://doi.org/10.4103/ijoem.ijoem_93_23
Rizki, L. P., & Purba, D. E. (2022). Moderating effect of perceived remaining time in the relationship
between job demands and job stress. Asian Academy of Management Journal.
https://doi.org/10.21315/aamj2022.27.1.3
Role overload, role self-distance, role stagnation as determinants of job satisfaction and turnover inten-
tion in the banking sector. (n.d.). Indian Journal of Psychological Medicine.
https://doi.org/10.4103/0253-7176.217022
Salovey, P., & Mayer, J. D. (1990). Emotional intelligence. Imagination, Cognition and Personality,
(3), 185–211. https://doi.org/10.2190/dugg-p24e-52wk-6cdg
Sarrionandia, A., Ramos-Díaz, E., & Fernández-Lasarte, O. (2018). Resilience as a mediator of emo-
tional intelligence and perceived stress: A cross-country study. Frontiers in Psychology, 9.
https://doi.org/10.3389/fpsyg.2018.02653
Shin, J. C., & Jung, J. (2014). Academics job satisfaction and job stress across countries in the changing
academic environments. Higher Education, 67(5), 603–620.
https://doi.org/10.1007/s10734-013-9668-y
Stressors, J. (n.d.). Personality and Burnout in Primary School Teachers. British Journal of Educational
Psychology. https://doi.org/10.1348/000709905X90344
Stuart, H. C., & Moore, C. (2017). Shady characters: The implications of illicit organizational roles for
resilient team performance. Academy of Management Journal, 60(5), 1963–1985.
https://doi.org/10.5465/amj.2014.0512
The moderating effect of the perceived remaining time in the relationship between job demands and job
stress. (n.d.). Asian Academy of Management Journal. https://doi.org/10.21315/aamj2022.27.1.3
Thu Trang, D., Kieu Anh, H., Thuy, N. T. B., & Huy, T. Q. (2023). Impact of emotional intelligence on
the cognitive subjective well-being of Vietnamese college students. European Journal of Edu-
cation and Pedagogy, 4(4), 40–46. https://doi.org/10.24018/ejedu.2023.4.4.708
Tian, F., Shu, Q., Cui, Q., Wang, L., Liu, C., & Wu, H. (2020). The mediating role of psychological capital
in the relationship between occupational stress and fatigue: A cross-sectional study among 1,104
Chinese physicians. Frontiers in Public Health, 8. https://doi.org/10.3389/fpubh.2020.00012
Uzair, Z., & Bhaumik, A. (2023). The relationship between teachers’ emotional intelligence, job stress
on job performance in higher education institutions in the United Arab Emirates during the
COVID-19 pandemic. SAR Journal, 28–36. https://doi.org/10.18421/sar61-05
Van der Doef, M., & Maes, S. (1999). The Job Demand-Control (-Support) Model and psychological
well-being: A review of 20 years of empirical research. Work and Stress, 13(2), 87–114.
https://doi.org/10.1080/026783799296084
Van vegchel, N., de Jonge, J., Bosma, H., & Schaufeli, W. (2005). Reviewing the effort–reward imbal-
ance model: drawing up the balance of 45 empirical studies. Social Science & Medicine (1982),
(5), 1117–1131. https://doi.org/10.1016/j.socscimed.2004.06.043
Walk the talk: Bringing spirituality to workplace through transformational leadership and emotional
intelligence in higher education institutions. (2019). Jurnal Pengurusan, 56.
https://doi.org/10.17576/pengurusan-2019-56-15
Watts, J., & Robertson, N. (2011). Burnout in university teaching staff: a systematic literature review.
Educational Research; a Review for Teachers and All Concerned with Progress in Education,
(1), 33–50. https://doi.org/10.1080/00131881.2011.552235
Zhao, X., Lynch, J. G., Jr, & Chen, Q. (2010). Reconsidering baron and Kenny: Myths and truths about
mediation analysis. The Journal of Consumer Research, 37(2), 197–206.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 ECONOMICS - INNOVATIVE AND ECONOMICS RESEARCH JOURNAL
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.