What influences teachers’ job satisfaction and how to improve, develop and reorganize the school activities associated with them

  • Anna Crisci
  • Enrica Sepe
  • Pasqualina Malafronte


Job satisfaction is a positive emotional state resulting from a personal appreciation of a his/her own job or experience. The paper reports on a study that examined job satisfaction among secondary school teachers in the province of Naples. Low job satisfaction has recently been cited as a possible cause of the current teaching crisis in Italy. Moreover, it is positively correlated to work performance, and it is expected that a school having teachers with high levels of job satisfaction impart higher levels of education and turns out more successful students. The paper investigates the relationship between individual characteristics, factors and teacher job satisfaction. In particular, it focuses on three individual characteristics that are commonly linked to job satisfaction in the literature, gender, age and years of experience. For this paper, a short version of the questionnaire Common Assessment Framework and Education model shared by European Institute of Public Administration was administered to a sample of secondary school teachers. The use of descriptive analysis resulted in the identification of the following six major factors affecting teacher satisfaction: communication, involvement, leadership, school climate, structure and job satisfaction. We tested the influence of these factors on teacher job satisfaction. A Partial Least Square Path Modelling (PLS-PM) and external analysis in PLS-PM have been used to test the relationships involved in the research model.


Job satisfaction School-based factors Partial least squares External analysis 



We would like to thanks the anonymous referee for carefully reading our manuscript and for giving such constructive comments which substantially helped improving the quality of the paper. What influences teachers’ job satisfaction and how to improve, develop and reorganize school activities associated with them.


  1. Amenta, P., D’ambra, L.: Constrained principal components analysis with external information. Riv. Stat. Appl. 12(1), 7–29 (2000)Google Scholar
  2. Barbaranelli, C., Bortone, I., Di Matteo, F.: La misura della soddisfazione lavorativa: Contributo empirico. Giornale Italiano di Psicologia 27(1), 159–180 (2010)Google Scholar
  3. Bassett-Jones, N., Lloyd, G.C.: Does Herzberg’s motivation theory have staying power? J. Manag. Dev. 24, 929–943 (2005)CrossRefGoogle Scholar
  4. Bishay, A.: Teacher motivation and job satisfaction: a study employing the experience sampling method. J. Undergrad. Sci. 3, 147–154 (1996)Google Scholar
  5. Blase, J., Roberts, J.: The micropolitics of teacher work involvement: effective principals’ impacts on teachers. Alta. J. Educ. Res. 40(1), 67–94 (1994)Google Scholar
  6. Callea, A., Urbini, F., Ingusci, E., Chirumbolo, A.: The relationship between contract type and job satisfaction in a mediated moderation model: the role of job insecurity and psychological contract violation. Econ. Ind. Democr. 37, 399–420 (2016)CrossRefGoogle Scholar
  7. Carr, K.K., Kazanowski, M.K.: Factors affecting job satisfaction of nurses who work in long-term care. J. Adv. Nurs. 19, 878–883 (1994)CrossRefGoogle Scholar
  8. Chen, J.C., Silverthorne, C.: The impact of locus of control on job stress, job performance and job satisfaction in Taiwan. Leadersh. Organ. Dev. J. 29, 572–582 (2008)CrossRefGoogle Scholar
  9. Chin, W.W.: The partial least squares approach for structural equation modelling. Modern Methods Bus. Res. 295, 236–295 (1998)Google Scholar
  10. Ciavolino, E., Carpita, M.: The GME estimator for the regression model with a composite indicator as explanatory variable. Qual. Quant. 49, 955–965 (2015)CrossRefGoogle Scholar
  11. Ciavolino, E., Nitti, M.: Simulation study for PLS path modelling with high-order construct: a job satisfaction model evidence. In: Advanced Dynamic Modeling of Economic and Social Systems, vol. 448, pp. 185–207. Springer, Berlin (2013a)Google Scholar
  12. Ciavolino, E., Nitti, M.: Using the hybrid two-step estimation approach for the identification of second-order latent variable models. J. Appl. Stat. 40, 508–526 (2013b)CrossRefGoogle Scholar
  13. Ciavolino, E., Carpita, M., Al-Nasser, A.: Modelling the quality of work in the italian social co-operatives combining NPCA-RSM and SEM-GME approaches. J. Appl. Stat. 42, 161–179 (2015)CrossRefGoogle Scholar
  14. De Nobile, J.J., McCormick, J.: Job satisfaction of Catholic primary school staff: a study of biographical differences. Int. J. Educ. Manag. 22, 135–150 (2008a)CrossRefGoogle Scholar
  15. De Nobile, J.J., McCormick, J.: Organizational communication and job satisfaction in Australian Catholic primary schools. Educ. Manag. Adm. Leadersh. 36, 101–122 (2008b)Google Scholar
  16. De Shields Jr., O.W., Kara, A., Kaynak, E.: Determinants of business student satisfaction and retention in higher education: applying Herzberg’s two-factor theory. Int. J. Educ. Manag. 19, 128–139 (2005)CrossRefGoogle Scholar
  17. Dinham, S., Scott, C.: Modelling Teacher Satisfaction: Findings from 892 Teaching Staff at 71 Schools. A paper presented to the American educational research association annual meeting, Chicago, IL, April (1997)Google Scholar
  18. Dinham, S., Scott, C.: Teachers’ Work and the Growing Influence of Societal Expectations and Pressures. Paper presented at the American educational research association annual meeting, April, New Orleans, LA (2000)Google Scholar
  19. Dogan, H., İbicioglu, H.: Göller Bölgesindeki (Isparta-Burdur) İşletme Yöneticilerinde. Celal Bayar Üniversitesi Sosyal Bilimler Dergisi (2004)Google Scholar
  20. Fornell, C., Bookstein, F.L.: Two Structural equation model: LISREL and PLS applied to consumer exit voice theory. J. Mark. Res. 19, 440–452 (1982)CrossRefGoogle Scholar
  21. Griva, K., Joekes, K.: UK teachers under stress: can we predict wellness on the basis of characteristics of the teaching job? Psychol. Health 18, 457–471 (2003)CrossRefGoogle Scholar
  22. Herzberg, F.: One more time: how do you motivate employees. Harvard Bus. Rev. 46(1), 53–62 (1968)Google Scholar
  23. Herzberg, F., Mausner, B., Snyderman, B.: The Motivation to Work. Wiley, New York (1959)Google Scholar
  24. Herzberg, F., Mausner, B., Snyderman, B.B.: The Motivation to Work. Transaction Publishers, Piscataway (2011)Google Scholar
  25. Imper, M., Neidt, W.A., Reyes, P.: Factors contributing to teacher satisfaction with participative decision making. J. Res. Dev. Educ. 23, 216–225 (1990)Google Scholar
  26. Ingusci, E., Callea, A., Chirumbolo, A., Urbini, F.: Job crafting and job satisfaction in a sample of Italian teachers: the mediating role of Perceived Organizational Support. Electronic J. Appl. Stat. Anal. 9, 675–687 (2016)Google Scholar
  27. Lowther, M.A., Gill, S.J., Coppard, L.C.: Age and the determinants of teacher job satisfaction. Gerontol. 25(5), 520–525 (1985)CrossRefGoogle Scholar
  28. Ma, X., MacMillan, R.B.: Influences of workplace conditions on teachers’ job satisfaction. J. Educ. Res. 93, 39–47 (1999)CrossRefGoogle Scholar
  29. McCloskey, J.C., McCain, B.E.: Satisfaction, commitment and professionalism of newly employed nurses. J. Nurs. Scholarsh. 19, 20–24 (1987)CrossRefGoogle Scholar
  30. Menon, M.E., Athanasoula-Reppa, A.: Job satisfaction among secondary school teachers: the role of gender and experience. Sch. Leadersh. Manag. 31, 435–450 (2011)CrossRefGoogle Scholar
  31. Moè, A., Pazzaglia, F., Ronconi, L.: When being able is not enough. The combined value of positive affect and self-efficacy for job satisfaction in teaching. Teach. Teach. Educ. 26, 1145–1153 (2010)CrossRefGoogle Scholar
  32. Morris, M.E.: School and district leadership and the job satisfaction of novice teachers: the influence of distributed leadership (2016). Accessed May 2016
  33. Porter, L.W., Lawler, E.E.: Managerial attitudes and performance. Dorsey, Homewood (1968)Google Scholar
  34. Poulin, J.: Job satisfaction of social work supervisors and administrators. Adm. Soc. Work 19, 35–49 (1996)CrossRefGoogle Scholar
  35. Price, J.L.: Reflections on the determinants of voluntary turnover. Int. J. Manpow. 22, 600–624 (2001)CrossRefGoogle Scholar
  36. Rice, E.M., Schneider, G.T.: A decade of teacher empowerment: an empirical analysis of teacher involvement in decision making, 1980–1991. J. Educ. Adm. 32, 43–58 (1994)CrossRefGoogle Scholar
  37. Sanchez G., Trinchera, L., Russolillo G.: Introduction to the R package PLSPM (2015).
  38. Sargent, T., Hannum, E.: Keeping teachers happy: job satisfaction among primary school teachers in rural northwest China. Comp. Educ. Rev. 49, 173–204 (2005)CrossRefGoogle Scholar
  39. Shann, M.H.: Professional commitment and satisfaction among teachers in urban middle schools. J. Educ. Res. 92, 67–73 (1998)CrossRefGoogle Scholar
  40. Skaalvik, E.M., Skaalvik, S.: Teacher self-efficacy and teacher burnout: a study of relations. Teach. Teach. Educ. 26, 1059–1069 (2010)CrossRefGoogle Scholar
  41. Skaalvik, E.M., Skaalvik, S.: Teacher job satisfaction and motivation to leave the teaching profession: relations with school context, feeling of belonging, and emotional exhaustion. Teach. Teach. Educ. 27, 1029–1038 (2011)CrossRefGoogle Scholar
  42. Sergiovanni, T.: Factors which affect satisfaction and dissatisfaction of teachers. J. Educ. Adm. 5, 66–82 (1967)CrossRefGoogle Scholar
  43. Spear, M., Gould, K., Lee, B.: Who Would be a Teacher?: A Review of Factors Motivating and Demotivating Prospective and Practising Teachers. NFER, Slough (2000)Google Scholar
  44. Spector, P.E.: Measurement of human service satisfaction: development of the job satisfaction survey. Am. J. Community Psychol. 13, 693–713 (1985)CrossRefGoogle Scholar
  45. Stello, C.M.: Herzberg’s two-factor theory of job satisfaction: an integrative literature review. In: Unpublished Paper Presented at the 2011 Student Research Conference: Exploring Opportunities in Research, Policy, and Practice, University of Minnesota Department of Organizational Leadership, Policy and Development, Minneapolis, MN (2011)Google Scholar
  46. Takane, Y., Shibayama, T.: Principal component analysis with external information on both subjects and variables. Psychometrika 56(1), 97–120 (1991)CrossRefGoogle Scholar
  47. Tenenhaus, M., Amato, S., Esposito Vinzi, V.: A global goodness-of-fit index for PLS structural equation modelling. In: Proceedings of the XLII SIS Scientific Meeting, pp. 739–742. Contributed Papers, CLEUP, Padova (2004)Google Scholar
  48. Tenenhaus, M., Esposito Vinzi, V., Chatelin, Y.M., Lauro, C.: PLS path modeling. Comput. Stat. Data Anal. 48, 159–205 (2005)CrossRefGoogle Scholar
  49. Thijs, N., Staes, P.: CAF in the Education Sector Successful Stories of Performance Improvement (2014)Google Scholar
  50. Vinzi, V.E., Trinchera, L., Amato, S.: PLS Path Modeling: From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement. Springer, Berlin (2010a)Google Scholar
  51. Vinzi, V.E., Chin, W.W., Henseler, J., Wang, H. (eds.): Handbook of Partial Least Squares: Concepts, Methods and Applications. Springer, Berlin (2010b)Google Scholar
  52. Vroom, V.H., MacCrimmon, K.R.: Toward a stochastic model of managerial careers. Adm. Sci. Q. 13, 26–46 (1968)CrossRefGoogle Scholar
  53. Wertz, C., Linn, R., Joreskog, K.: Intraclass reliability estimates: Testing structural assumptions. Educ. Psychol. Meas. 34(1), 25–33 (1974)CrossRefGoogle Scholar
  54. Wold, H.: Soft modelling by latent variables: the non-linear iterative partial least squares (NIPALS) approach. In: Gani, J. (ed.) Perspectives in Probability and Statistics: Papers in Honour of M. S. Bartlett on the Occasion of His Sixty-Fifth Birthday, pp. 117–142. Applied Probability Trust, Sheffield (1975)Google Scholar
  55. Wright, S.: Correlation and causation. J. Agric. Res. 20, 557–585 (1921)Google Scholar
  56. Wrigth, S.: The method of path coefficients. Ann. Math. Stat. 5, 161–215 (1934)CrossRefGoogle Scholar

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Authors and Affiliations

  1. 1.Department of Law and Economics SciencesPegaso Telematic UniversityNaplesItaly
  2. 2.Department of Economics, Management, InstitutionsUniversity of Naples Federico IINaplesItaly

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