IDEAS home Printed from https://ideas.repec.org/a/qua/journl/v12y2015i2p71-92.html
   My bibliography  Save this article

Mediating Effects of Organizational Citizenship Behavior on Organizational Performance: Empirical Analysis of Public Employees in Guadalajara, Mexico

Author

Listed:
  • Simon A. Andrew

    (University of North Texas)

  • Filadelfo Leon-Cazares

    (University of Guadalajara)

Abstract

While much has been written about the importance of recruiting and retaining employees displaying voluntary and spontaneous actions, few have explored the mediating effect of citizenship behaviors on organizational performance. This study examines the direct and indirect effects of transformational leadership style, public service motivation, and organizational citizenship behavior (OCB) on public organization performance. It is hypothesized that when employees perceived that a public organization is practicing a transformational leadership style (TLS), they are likely to have a favorable view on the performance of their organization, but the effect is indirect and mediated by OCB. At the same time, if employees have a strong desire to serve and improve the welfare of others, they are likely to perform beyond their job requirements and thus, likely to express a positive view on the organizational performance. A structural equation modeling was used to examine the perceptions of 1,016 public employees in the Guadalajara Metropolitan Area, Mexico. The results suggest that Mexican public employees display OCB (extra role behaviors) that will be associated with a better public organizational performance because of the higher levels of PSM (public service motivation). TLS are also associated to a better organizational performance as well as to perform OCBs. But we did not find the mediator role of OCB between TLS and the organizational performance.

Suggested Citation

  • Simon A. Andrew & Filadelfo Leon-Cazares, 2015. "Mediating Effects of Organizational Citizenship Behavior on Organizational Performance: Empirical Analysis of Public Employees in Guadalajara, Mexico," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 12(2), pages 71-92, Julio-Dic.
  • Handle: RePEc:qua:journl:v:12:y:2015:i:2:p:71-92
    as

    Download full text from publisher

    File URL: http://econoquantum.cucea.udg.mx/index.php/EQ/article/view/4861
    Download Restriction: no

    File URL: http://econoquantum.cucea.udg.mx/index.php/EQ/issue/view/430
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Grindle, Merilee S., 1997. "Divergent cultures? When public organizations perform well in developing countries," World Development, Elsevier, vol. 25(4), pages 481-495, January.
    2. Little, Roderick J A, 1988. "Missing-Data Adjustments in Large Surveys," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 287-296, July.
    3. Anabella Davila & Marta M. Elvira, 2007. "Psychological contracts and performance management in Mexico," International Journal of Manpower, Emerald Group Publishing Limited, vol. 28(5), pages 384-402, August.
    4. Little, Roderick J A, 1988. "Missing-Data Adjustments in Large Surveys: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 300-301, July.
    5. Anabella Davila & Marta M. Elvira, 2007. "Psychological contracts and performance management in Mexico," International Journal of Manpower, Emerald Group Publishing, vol. 28(1), pages 384 - 402, July.
    6. Yoon, Mahn Hee & Suh, Jaebeom, 2003. "Organizational citizenship behaviors and service quality as external effectiveness of contact employees," Journal of Business Research, Elsevier, vol. 56(8), pages 597-611, August.
    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. Yusuf Anthony Olukayode & Musa Nofiu Abiodun & Kadiri Dele Samuel & Ebunoluwa Esther Ilori & Opawole Akintayo, 2022. "Capability improvement measures of the public sector for implementation of building information modeling in construction projects," Organization, Technology and Management in Construction, Sciendo, vol. 14(1), pages 2710-2730, January.
    2. Hazem Khaled Shehadeh & Mohammed Abed Hussein Al Taee, 2022. "Organizational Ambidexterity and Its Impact on Organizational Citizenship Behavior: A Case Study in Islamic International Arab Bank in Amman City-Jordan," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 11, July.

    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. Joost Ginkel & Pieter Kroonenberg, 2014. "Using Generalized Procrustes Analysis for Multiple Imputation in Principal Component Analysis," Journal of Classification, Springer;The Classification Society, vol. 31(2), pages 242-269, July.
    2. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Incomplete panels and selection bias : A survey," Discussion Paper 1992-7, Tilburg University, Center for Economic Research.
    3. Gerko Vink & Laurence E. Frank & Jeroen Pannekoek & Stef Buuren, 2014. "Predictive mean matching imputation of semicontinuous variables," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(1), pages 61-90, February.
    4. Martin, Eisele & Zhu, Junyi, 2013. "Multiple imputation in a complex household survey - the German Panel on Household Finances (PHF): challenges and solutions," MPRA Paper 57666, University Library of Munich, Germany.
    5. Dang, Hai-Anh & Carletto, Calogero, 2022. "Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation," IZA Discussion Papers 14997, Institute of Labor Economics (IZA).
    6. Daniel Schunk, 2007. "A Markov Chain Monte Carlo Multiple Imputation Procedure for Dealing with Item Nonresponse in the German SAVE Survey," MEA discussion paper series 07121, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    7. Brownstone, David, 1997. "Multiple Imputation Methodology for Missing Data, Non-Random Response, and Panel Attrition," University of California Transportation Center, Working Papers qt2zd6w6hh, University of California Transportation Center.
    8. Zachary H. Seeskin, 2016. "Evaluating the Use of Commercial Data to Improve Survey Estimates of Property Taxes," CARRA Working Papers 2016-06, Center for Economic Studies, U.S. Census Bureau.
    9. F. Di Lascio & Simone Giannerini & Alessandra Reale, 2015. "Exploring copulas for the imputation of complex dependent data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(1), pages 159-175, March.
    10. Ankita Patnaik & Jeffrey Hemmeter & Arif Mamun, "undated". "Promoting Readiness of Minors with Autism Spectrum Disorder: Evidence from a Randomized Controlled Trial," Mathematica Policy Research Reports a74c93d9bdce40709ad81cdbc, Mathematica Policy Research.
    11. Westermeier, Christian & Grabka, Markus M., 2016. "Longitudinal Wealth Data and Multiple Imputation: An Evaluation Study," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 10(3), pages 237-252.
    12. Youngjoo Cho & Debashis Ghosh, 2021. "Quantile-Based Subgroup Identification for Randomized Clinical Trials," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 13(1), pages 90-128, April.
    13. Ahfock, Daniel & Pyne, Saumyadipta & McLachlan, Geoffrey J., 2022. "Statistical file-matching of non-Gaussian data: A game theoretic approach," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
    14. Yanqing Sun & Li Qi & Fei Heng & Peter B. Gilbert, 2020. "A hybrid approach for the stratified mark‐specific proportional hazards model with missing covariates and missing marks, with application to vaccine efficacy trials," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(4), pages 791-814, August.
    15. Jonathan Hambur & Gianni La Cava, 2018. "Do Interest Rates Affect Business Investment? Evidence from Australian Company-level Data," RBA Research Discussion Papers rdp2018-05, Reserve Bank of Australia.
    16. Arif Mamun & David Wittenburg & Noelle Denny-Brown & Michael Levere & David Mann & Rebecca Coughlin & Sarah Croake & Heather Gordon & Denise Hoffman & Rachel Holzwart & Rosalind Keith & Brittany McGil, "undated". "Promoting Opportunity Demonstration: Interim Evaluation Report," Mathematica Policy Research Reports caa99d38a8b14f968ea3438e5, Mathematica Policy Research.
    17. Miguel Szekely & Nora Lustig & Martin Cumpa & Jose Antonio Mejia, 2004. "Do we know how much poverty there is?," Oxford Development Studies, Taylor & Francis Journals, vol. 32(4), pages 523-558.
    18. Friedrich Schneider, 2017. "Shadow Economies around the World: New Results for 158 Countries over 1991-2015," Economics working papers 2017-10, Department of Economics, Johannes Kepler University Linz, Austria.
    19. Giuseppe Arbia & Giuseppe Espa & Diego Giuliani, 2016. "Dirty spatial econometrics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 177-189, January.
    20. A. R. Linero, 2017. "Bayesian nonparametric analysis of longitudinal studies in the presence of informative missingness," Biometrika, Biometrika Trust, vol. 104(2), pages 327-341.

    More about this item

    Keywords

    Transformational Leadership; OCB; Organizational Performance; Public Service Motivation; Structural Equation Modeling;
    All these keywords.

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • H83 - Public Economics - - Miscellaneous Issues - - - Public Administration

    Statistics

    Access and download statistics

    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:qua:journl:v:12:y:2015:i:2:p:71-92. 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: Sandra Ivett Portugal Padilla (email available below). General contact details of provider: https://edirc.repec.org/data/dmudgmx.html .

    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.