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Influence of motivation on teachers’ job performance

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  • Joti kumari

    (Sichuan University)

  • Jai Kumar

    (Jilin University)

Abstract

Motivation is the key to success in educational institutions, and it empowers a teacher to work with an affection that contributes to the accomplishment of hierarchical objectives. Yet, what drives school teachers to be pleased or motivated to achieve exceptional performance? This contemplation must be considered thoroughly in different regions with different predictors. Therefore, this study aims to identify the factors influencing teachers’ motivation and evaluate the influence of motivation on teachers’ job performance in private schools in Mirpurkhas, Pakistan. We use quantitative statistics and a partial least-squares structural equation modeling (PLS-SEM analysis) design; the data was collected through a survey questionnaire. We found that motivation significantly influences teachers’ job performance. The study revealed that self-determined and non-self-determined motivation and factors influencing teachers’ motivation significantly impact teachers’ job performance. The administration must formulate teachers’ motivational policies and practices to meet their needs. Furthermore, school administrations should provide adequate resources like bonuses, rewards, good communication, moral support, emotional support, and an increment in salaries to ensure quality learning and yield high performance from their teaching staff to improve the relevant education system.

Suggested Citation

  • Joti kumari & Jai Kumar, 2023. "Influence of motivation on teachers’ job performance," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    • Handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-01662-6
    DOI: 10.1057/s41599-023-01662-6
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    1. Rodrigo, L. & Palacios, M., 2021. "What antecedent attitudes motivate actors to commit to the ecosystem of digital social innovation?," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    2. Carsten Hahn & Michael D. Johnson & Andreas Herrmann & Frank Huber, 2002. "Capturing Customer Heterogeneity Using A Finite Mixture Pls Approach," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 54(3), pages 243-269, July.
    3. Sarstedt, Marko & Radomir, Lăcrămioara & Moisescu, Ovidiu Ioan & Ringle, Christian M., 2022. "Latent class analysis in PLS-SEM: A review and recommendations for future applications," Journal of Business Research, Elsevier, vol. 138(C), pages 398-407.
    4. Marko Sarstedt & Jan-Michael Becker & Christian M. Ringle & Manfred Schwaiger, 2011. "Uncovering and Treating Unobserved Heterogeneity with FIMIX-PLS: Which Model Selection Criterion Provides an Appropriate Number of Segments?," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 63(1), pages 34-62, January.
    5. Sarstedt, Marko & Hair, Joseph F. & Ringle, Christian M. & Thiele, Kai O. & Gudergan, Siegfried P., 2016. "Estimation issues with PLS and CBSEM: Where the bias lies!," Journal of Business Research, Elsevier, vol. 69(10), pages 3998-4010.
    6. Lau, Chong M. & Roopnarain, Ketvi, 2014. "The effects of nonfinancial and financial measures on employee motivation to participate in target setting," The British Accounting Review, Elsevier, vol. 46(3), pages 228-247.
    7. Kamel Jedidi & Harsharanjeet S. Jagpal & Wayne S. DeSarbo, 1997. "Finite-Mixture Structural Equation Models for Response-Based Segmentation and Unobserved Heterogeneity," Marketing Science, INFORMS, vol. 16(1), pages 39-59.
    8. Mahmood A. Khwaja & Sumbul Saeed & Maham Urooj, 2018. "Preliminary Environmental Impact Assessment (EIA) Study of China-Pakistan Economic Corridor (CPEC) Northern Route Road Construction Activities in Khyber Pakhtunkhwa (KPK), Pakistan," Working Papers id:12846, eSocialSciences.
    9. Joseph Ato Forson & Eric Ofosu-Dwamena & Rosemary Afrakomah Opoku & Samuel Evergreen Adjavon, 2021. "Employee motivation and job performance: a study of basic school teachers in Ghana," Future Business Journal, Springer, vol. 7(1), pages 1-12, December.
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