Job Satisfaction Moderated Burnout, Work-Life Balance, And Lecturer Performance During The Industrial Revolution 4.0.

Authors

  • Ilham Ilham Faculty of Economics and Business, University of Southeast Sulawesi
  • Andi Tenri Olle Faculty of Economics and Business, Indonesian Muslim University

DOI:

https://doi.org/10.54099/ijmba.v4i1.1037

Keywords:

Job satisfaction,, Burnout, , Work-life balance,, Lecturer performance,, Private universitie

Abstract

Objective: This study investigates the moderating role of job satisfaction in the relationship between burnout, work-life balance, and lecturer performance in the era of Industrial Revolution 4.0.

This methodology/approach uses a quantitative approach with purposive sampling and partial least squares (PLS) analysis. Using a quantitative research design, a cross-sectional survey was conducted to collect data from the university lecturers. Standard questionnaires were used to measure job satisfaction, burnout, work-life balance, and lecturer performance. Data will be collected through an online survey platform with a minimum response rate of 70%, involving 121 random permanent lecturers from various private universities at the Higher Education Service Institution (LLDIKTI) Region IX Sulawesi. Descriptive statistics were used to summarize the data, and inferential statistics were tested using the partial least squares (PLS) hypothesis.

Findings – Burnout did not significantly affect lecturer performance, while a higher work-life balance led to increased job satisfaction. Increased burnout reduces lecturer performance, but work-life balance has a direct impact on performance. Higher job satisfaction improves lecturer performance and weakens the negative effects of burnout. Job satisfaction moderates the relationship between work-life balance and lecturer performance. These findings emphasize the importance of managing burnout and promoting work-life balance to improve job satisfaction and performance among lecturers in the context of Industrial Revolution 4.0. This study contributes to the understanding of the complex relationship between these variables and provides insights for developing strategies to support lecturers’ well-being and performance in the face of technological advances and changes in the work environment

References

REFERENCES

Aamir, A., Hamid, A. B. A., Haider, M., & Akhtar, C. S. (2016). Work-life balance, job satisfaction, and nurses’ retention: Moderating role of work volition. International Journal of Business Excellence, 10(4), 488–501.

Abdullah, D. N. M. A., & Yuen, F. C. (2011). The impact of job burnout towards job performance among nurses. 2011 IEEE Symposium on Business, Engineering and Industrial Applications (ISBEIA), 351–356.

Assiddiki, A. H. (2023). The Influence of Leadership and Work Environment on Job Satisfaction and Its Impact on Employee Performance. International Journal of Business, Management and Economics, 4(4), 293–310.

Astuti, R. J., MARYATI, T., & HARSONO, M. (2020). The effect of workplace spirituality on workplace deviant behavior and employee performance: The role of job satisfaction. The Journal of Asian Finance, Economics and Business, 7(12), 1017–1026.

Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16, 74–94.

Bakker, A. B., & Leiter, M. P. (2010). Work engagement: A handbook of essential theory and research. Psychology press.

Camilleri, V. (2024). Chapter 11 - Perspectives on the ethics of a VR-based empathy experience for educators. In S. Caballé, J. Casas-Roma, & J. B. T.-E. in O. A. S. Conesa (Eds.), Intelligent Data-Centric Systems (pp. 211–228). Academic Press. https://doi.org/https://doi.org/10.1016/B978-0-443-18851-0.00020-2

Çetinkaya, F., & Karabulut, N. (2016). Validity and reliability of the Turkish version of the Visual Analog Sleep Scale. Kontakt, 18(2), e84–e89.

Chakraborty, A. R., & Mansor, N. N. A. (2013). Adoption of Human Resource Information System: A Theoretical Analysis. Procedia - Social and Behavioral Sciences, 75, 473–478. https://doi.org/10.1016/j.sbspro.2013.04.051

Chan, S. C. H. (2019). Participative leadership and job satisfaction: The mediating role of work engagement and the moderating role of fun experienced at work. Leadership & Organization Development Journal, 40(3), 319–333.

Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14(2), 189–217.

Cohen, J. (2013). Statistical power analysis for the behavioral sciences. Routledge.

Dita Di Apriyanti, Rina Anindita, D. A. P. (2021). The Role of Job Crafting on Teacher Performance During the Covid-19 Pandemic Through Burnout and Work-Life Balance. Jurnal Ilmiah Manajemen Dan Bisnis.

Dousin, O., Collins, N., & Kler, B. K. (2019). Work-life balance, employee job performance and satisfaction among doctors and nurses in Malaysia. International Journal of Human Resource Studies, 9(4), 306–319.

Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. University of Akron Press.

Fornell, C., & Larcker, D. F. (1981a). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.

Fornell, C., & Larcker, D. F. (1981b). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Sage publications Sage CA: Los Angeles, CA.

Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101–107.

Ghozali, I., & Latan, H. (2015a). Konsep, Teknik, Aplikasi Menggunakan Smart PLS 3.0 Untuk Penelitian Empiris. BP Undip. Semarang.

Ghozali, I., & Latan, H. (2015b). Partial least squares concepts, techniques and applications using the smartpls 3.0 program for empirical research. Semarang: Badan Penerbit UNDIP, 4(1).

Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185–214.

Hair, J. F., Anderson, R. E., Babin, B. J., & Black, W. C. (2010). Multivariate data analysis: A global perspective (Vol. 7). Upper Saddle River, NJ: Pearson.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152.

Hair, J. F., Sarstedt, M., Pieper, T. M., & Ringle, C. M. (2012). The use of partial least squares structural equation modeling in strategic management research: a review of past practices and recommendations for future applications. Long Range Planning, 45(5–6), 320–340.

Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40, 414–433.

Hais Jr, J. F., Black, B. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: global edition. London: Pearson Education.

Hauff, S., Richter, N. F., Sarstedt, M., & Ringle, C. M. (2024). Importance and performance in PLS-SEM and NCA: Introducing the combined importance-performance map analysis (cIPMA). Journal of Retailing and Consumer Services, 78, 103723. https://doi.org/https://doi.org/10.1016/j.jretconser.2024.103723

Henseler, J., & Fassott, G. (2010). Testing moderating effects in PLS path models: An illustration of available procedures. Handbook of Partial Least Squares: Concepts, Methods and Applications, 713–735.

Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In New challenges to international marketing (Vol. 20, pp. 277–319). Emerald Group Publishing Limited.

Hilman, H., Edward, Y. R., & Faris, S. (2022). The Effect Of Work Life Balance And Work Stress On Performance With Job Satisfaction As Intervening Variables At The Office Of Theministry Of Religion, Selatan Tapanuli Regency. International Journal of Science, Technology & Management, 3(5), 1321–1328.

Joana Carolina, C.-V., Gabriela, R.-G., & Ismael, M.-C. (2024). Effect of the economic, social and technological factors on sustainable entrepreneurship over time. Journal of Business Research, 173, 114457. https://doi.org/https://doi.org/10.1016/j.jbusres.2023.114457

Johari, J., Yean Tan, F., & Tjik Zulkarnain, Z. I. (2018). Autonomy, workload, work-life balance and job performance among teachers. International Journal of Educational Management, 32(1), 107–120.

Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS‐SEM: The inverse square root and gamma‐exponential methods. Information Systems Journal, 28(1), 227–261.

Kumari, P., & Aithal, P. S. (2022). Impact of emotional labour, work-life balance, and job satisfaction on cabin crews’ job performance. International Journal of Management, Technology and Social Sciences (IJMTS), 7(2), 225–240.

Locke, E. A. (1976). The nature and causes of job satisfaction. Handbook of Industrial and Organizational Psychology.

Malini, H., & Yulianty, Y. (2023). The Effect of Work-Life Balance, Burnout, and Competence on Job Satisfaction of Health Workers. Journal of Health Management Research; Vol 2 No 2 (2023): Journal of Health Management Research, Vol. 22 No, 260–278. https://doi.org/10.37036/jhmr.v2i2.437

Mardanov, I. (2020). Intrinsic and extrinsic motivation, organizational context, employee contentment, job satisfaction, performance and intention to stay. Evidence-Based HRM: A Global Forum for Empirical Scholarship, 9(3), 223–240.

McDonald, R. P. (1996). Path analysis with composite variables. Multivariate Behavioral Research, 31(2), 239–270.

Moon, T. W., & Hur, W.-M. (2011). Emotional intelligence, emotional exhaustion, and job performance. Social Behavior and Personality: An International Journal, 39(8), 1087–1096.

Mustaqim, M. H., Nurhayati, M., & Riyanto, S. (2023). The Influence Of Work Competence And Work Stress On Performance With Job Satisfaction As A Mediation Variable. International Journal of Management and Business Applied, 2(2), 49–58.

Nair, A., Fischer, A. R. H., Moscatelli, S., Socaciu, C., Kohl, C., Stetkiewicz, S. S., Menary, J., Baekelandt, A., Nanda, A. K., & Jorasch, P. (2023). European consumer and societal stakeholders’ response to crop improvements and new plant breeding techniques. Food and Energy Security, 12(1), e417.

Netemeyer, R. G., Boles, J. S., & McMurrian, R. (1996). Development and validation of work–family conflict and family–work conflict scales. Journal of Applied Psychology, 81(4), 400.

Olsen, E., Bjaalid, G., & Mikkelsen, A. (2017). Work climate and the mediating role of workplace bullying related to job performance, job satisfaction, and work ability: A study among hospital nurses. Journal of Advanced Nursing, 73(11), 2709–2719.

Pangemanan, F. L., Pio, R. J., & Tumbel, T. M. (2017). The effect of work-life balance and burnout on job satisfaction. Journal of Business Administration (JAB), 5(003).

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.

Rambe, H., & Pareke, F. J. S. (2024). The Role of Burnout Mediation in the Influence of Emotional Exhaustion and Work Overload on the Job Performance of Civil Servants of the Bengkulu Provincial Government. Jesya (Journal of Sharia Economics and Economics), 7(1), 814–829.

Rigdon, E. E., Schumacker, R. E., & Wothke, W. (2017). A comparative review of interaction and nonlinear modeling. Interaction and Nonlinear Effects in Structural Equation Modeling, 1–16.

Ringle, C. M., Sarstedt, M., Mitchell, R., & Gudergan, S. P. (2020). Partial least squares structural equation modeling in HRM research. The International Journal of Human Resource Management, 31(12), 1617–1643.

Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. SmartPLS GmbH, Boenningstedt. Journal of Service Science and Management, 10(3), 32–49.

Risnawati, W. I., & Astuti, M. (2022). Determinants of Employee Performance: Work Conflicts, Job Stress, and Job Satisfaction. Academia Open, 7, 10–21070.

Robina‐Ramírez, R., Torrecilla‐Pinero, J., Leal‐Solís, A., & Pavón‐Pérez, J. A. (2024). Tourism as a driver of economic and social development in underdeveloped regions. Regional Science Policy & Practice, 16(1), 12639. https://doi.org/https://doi.org/10.1111/rsp3.12639

Sarstedt, M., Hair, J. F., Ringle, C. M., Thiele, K. O., & Gudergan, S. P. (2016). Estimation issues with PLS and CBSEM: Where the bias lies! Journal of Business Research, 69(10), 3998–4010.

Schaufeli, W. B., Leiter, M. P., & Maslach, C. (2009). Burnout: 35 years of research and practice. Career Development International, 14(3), 204–220.

Sharma, N., & Fatima, J. K. (2024). Influence of perceived value on omnichannel usage: Mediating and moderating roles of the omnichannel shopping habit. Journal of Retailing and Consumer Services, 77, 103627. https://doi.org/https://doi.org/10.1016/j.jretconser.2023.103627

Shomotova, A., Karabchuk, T., & Ibrahim, A. (2024). Leadership potential and self-perceived employability of undergraduate students in the United Arab Emirates. International Journal of Educational Research Open, 7, 100335. https://doi.org/https://doi.org/10.1016/j.ijedro.2024.100335

Spector, P. E. (1997). Job satisfaction: Application, assessment, causes, and consequences (Vol. 3). Sage.

Suminar, B., & Yulianti, E. (2013). The effect of emotional exhaustion on job satisfaction and its impact on performance. IAMURE International Journal of Business and Management, 5(1), 1.

Downloads

Published

2024-11-27

How to Cite

Ilham, I., & Olle, A. T. . (2024). Job Satisfaction Moderated Burnout, Work-Life Balance, And Lecturer Performance During The Industrial Revolution 4.0. International Journal of Management and Business Applied, 4(1), 1–17. https://doi.org/10.54099/ijmba.v4i1.1037