IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v53y2019i5d10.1007_s11135-018-0772-z.html
   My bibliography  Save this article

How does public service motivation affect teacher self-reported performance in an education system? Evidence from an empirical analysis in Italy

Author

Listed:
  • Pasquale Sarnacchiaro

    (University of Rome Unitelma Sapienza)

  • Ida Camminatiello

    (University of Campania L. Vanvitelli)

  • Luigi D’Ambra

    (University of Naples Federico II)

  • Raffaela Palma

    (University of Naples Federico II)

Abstract

This paper deals with self-reported teacher performance, and the starting point is the relationship between teacher performance and the main determining factor, public service motivation. This relationship is complex because other relevant key factors, such as organizational citizenship behavior, job satisfaction, and person-organization fit come into play as mediation effects. In an Italian state school system, the authors propose modeling the public service motivation-individual performance process in order to identify the drivers that guarantee successful performance. In its analysis of these aspects, the study draws on data from a survey conducted among teachers working in Campania region in the south of Italy, resulting in a total of 507 valid questionnaires being obtained. In the proposed model, teacher performance is considered to be a consequence of the combined effects of public service motivation and other relevant key factors. The model was tested by using the Rasch models and structural equation modelling. The results of this study provide empirical evidence that teacher performance is, albeit indirectly, influenced by public service motivation.

Suggested Citation

  • Pasquale Sarnacchiaro & Ida Camminatiello & Luigi D’Ambra & Raffaela Palma, 2019. "How does public service motivation affect teacher self-reported performance in an education system? Evidence from an empirical analysis in Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2521-2533, September.
    • Handle: RePEc:spr:qualqt:v:53:y:2019:i:5:d:10.1007_s11135-018-0772-z
    DOI: 10.1007/s11135-018-0772-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-018-0772-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-018-0772-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Geoff Masters, 1982. "A rasch model for partial credit scoring," Psychometrika, Springer;The Psychometric Society, vol. 47(2), pages 149-174, June.
    2. Enrico Ciavolino & Maurizio Carpita & Amjad Al-Nasser, 2015. "Modelling the quality of work in the Italian social co-operatives combining NPCA-RSM and SEM-GME approaches," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(1), pages 161-179, January.
    3. Jarvis, Cheryl Burke & MacKenzie, Scott B & Podsakoff, Philip M, 2003. "A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 199-218, September.
    4. 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.
    5. Rigdon, Edward E., 2016. "Choosing PLS path modeling as analytical method in European management research: A realist perspective," European Management Journal, Elsevier, vol. 34(6), pages 598-605.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ferreira, Diogo Cunha & Marques, Rui Cunha & Nunes, Alexandre Morais & Figueira, José Rui, 2021. "Customers satisfaction in pediatric inpatient services: A multiple criteria satisfaction analysis," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    2. Lucadamo, Antonio & Camminatiello, Ida & D'Ambra, Antonello, 2021. "A statistical model for evaluating the patient satisfaction," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jun-Hwa Cheah & Hiram Ting & T. Ramayah & Mumtaz Ali Memon & Tat-Huei Cham & Enrico Ciavolino, 2019. "A comparison of five reflective–formative estimation approaches: reconsideration and recommendations for tourism research," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(3), pages 1421-1458, May.
    2. Christian Nitzl & Wynne W. Chin, 2017. "The case of partial least squares (PLS) path modeling in managerial accounting research," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 28(2), pages 137-156, May.
    3. Zulfiqar Ali & Hongyi Sun & Murad Ali, 2017. "The Impact of Managerial and Adaptive Capabilities to Stimulate Organizational Innovation in SMEs: A Complementary PLS–SEM Approach," Sustainability, MDPI, vol. 9(12), pages 1-23, November.
    4. Immacolata Di Napoli & Pasquale Dolce & Caterina Arcidiacono, 2019. "Community Trust: A Social Indicator Related to Community Engagement," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(2), pages 551-579, September.
    5. Nicole F. Richter & Sven Hauff & Christian M. Ringle & Siegfried P. Gudergan, 2022. "The Use of Partial Least Squares Structural Equation Modeling and Complementary Methods in International Management Research," Management International Review, Springer, vol. 62(4), pages 449-470, August.
    6. Éva Berde & Emese Kovács & Muyassar Kurbanova, 2023. "The two‐sided paradox of ageism during the COVID‐19 pandemic: The cases of Hungary, Tunisia and Uzbekistan," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(3), pages 606-625, April.
    7. Dolores Gallardo-Vázquez & Luis Enrique Valdez-Juárez & José Luis Lizcano-Álvarez, 2019. "Corporate Social Responsibility and Intellectual Capital: Sources of Competitiveness and Legitimacy in Organizations’ Management Practices," Sustainability, MDPI, vol. 11(20), pages 1-29, October.
    8. Myra Sader & Barthélemy Chollet & Sébastien Brion & Olivier Trendel, 2021. "Supported, detached, or marginalized? The ambivalent role of social capital on stress at work," Post-Print hal-03167159, HAL.
    9. Carmen M. Felipe & José L. Roldán & Antonio L. Leal-Rodríguez, 2017. "Impact of Organizational Culture Values on Organizational Agility," Sustainability, MDPI, vol. 9(12), pages 1-23, December.
    10. Hepola, Janne & Leppäniemi, Matti & Karjaluoto, Heikki, 2020. "Is it all about consumer engagement? Explaining continuance intention for utilitarian and hedonic service consumption," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    11. Salzberger, Thomas & Koller, Monika, 2013. "Towards a new paradigm of measurement in marketing," Journal of Business Research, Elsevier, vol. 66(9), pages 1307-1317.
    12. M. Rosario González‐Rodríguez & Iis Tussyadiah, 2022. "Sustainable development in nature‐based destinations. The social dilemma of an environmental policy," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(4), pages 580-594, August.
    13. Liu, Yuqing & Schuberth, Florian & Liu, Yide & Henseler, Jörg, 2022. "Modeling and assessing forged concepts in tourism and hospitality using confirmatory composite analysis," Journal of Business Research, Elsevier, vol. 152(C), pages 221-230.
    14. Jessica Braojos & Jose Benitez & Javier Llorens & Laura Ruiz, 2020. "Impact of IT integration on the firm’s knowledge absorption and desorption," Post-Print hal-03160729, HAL.
    15. Schlägel, Christopher & Sarstedt, Marko, 2016. "Assessing the measurement invariance of the four-dimensional cultural intelligence scale across countries: A composite model approach," European Management Journal, Elsevier, vol. 34(6), pages 633-649.
    16. Gyeongcheol Cho & Christopher Schlaegel & Heungsun Hwang & Younyoung Choi & Marko Sarstedt & Christian M. Ringle, 2022. "Integrated Generalized Structured Component Analysis: On the Use of Model Fit Criteria in International Management Research," Management International Review, Springer, vol. 62(4), pages 569-609, August.
    17. García-Granero, Eva M. & Piedra-Muñoz, Laura & Galdeano-Gómez, Emilio, 2020. "Measuring eco-innovation dimensions: The role of environmental corporate culture and commercial orientation," MPRA Paper 119909, University Library of Munich, Germany.
    18. Hengky Latan & Christian M. Ringle & Charbel Jose Chiappetta Jabbour, 2018. "Whistleblowing Intentions Among Public Accountants in Indonesia: Testing for the Moderation Effects," Journal of Business Ethics, Springer, vol. 152(2), pages 573-588, October.
    19. Joseph F. Hair & G. Tomas M. Hult & Christian M. Ringle & Marko Sarstedt & Kai Oliver Thiele, 2017. "Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods," Journal of the Academy of Marketing Science, Springer, vol. 45(5), pages 616-632, September.
    20. Eggers, Fabian & Niemand, Thomas & Kraus, Sascha & Breier, Matthias, 2020. "Developing a scale for entrepreneurial marketing: Revealing its inner frame and prediction of performance," Journal of Business Research, Elsevier, vol. 113(C), pages 72-82.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:53:y:2019:i:5:d:10.1007_s11135-018-0772-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.