IDEAS home Printed from https://ideas.repec.org/p/ira/wpaper/201825.html
   My bibliography  Save this paper

“The benefits of PSM: an oasis or a mirage?”

Author

Listed:
  • Sahar Awan

    (Universitat Ramon LLull, ESADE Business School.)

  • Germà Bel

    (Department of Econometrics, Statistics and Applied Economics & GiM-IREA University of Barcelona. C/ John Keynes 1-11, 08034 Barcelona. Tel: 34.93.4031131 Fax: 34.93.4024573)

  • Marc Esteve

    (University College London & ESADE.)

Abstract

Scholarly interest in Public Service Motivation has yielded a vast amount of research explicating its benefits for public sector organizations; including increased employee job satisfaction, boosted individual performance, higher intention to stay with the organization, enhanced organizational commitment and organizational citizenship behaviour. However, a closer inspection of the literature reveals mixed empirical evidence for each of these impacts of PSM. We perform a meta-analysis on each of these five impacts of PSM in order to explicate the divergence in the results of the extant literature. We find evidence of the existence of a true effect for PSM over negative outcomes, organisational commitment and organisational citizenship. In addition, we also find that contextual variables, legal origin and corruption of the country, along with the measurement related variables, affect each of the five relationships in a unique manner.

Suggested Citation

  • Sahar Awan & Germà Bel & Marc Esteve, 2018. "“The benefits of PSM: an oasis or a mirage?”," IREA Working Papers 201825, University of Barcelona, Research Institute of Applied Economics, revised Oct 2018.
  • Handle: RePEc:ira:wpaper:201825
    as

    Download full text from publisher

    File URL: http://www.ub.edu/irea/working_papers/2018/201825.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Raffaela Palma & Enrica Sepe, 2017. "Structural equation modelling: a silver bullet for evaluating public service motivation," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 729-744, March.
    2. T. D. Stanley & Stephen B. Jarrell, 2005. "Meta‐Regression Analysis: A Quantitative Method of Literature Surveys," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 299-308, July.
    3. Julian Seymour Gould-Williams & Mark Gatenby, 2010. "The Effects Of Organizational Context And Teamworking Activities On Performance Outcomes," Public Management Review, Taylor & Francis Journals, vol. 12(6), pages 759-787, November.
    4. Klaus E Meyer & Arjen Witteloostuijn & Sjoerd Beugelsdijk, 2017. "What’s in a p? Reassessing best practices for conducting and reporting hypothesis-testing research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 48(5), pages 535-551, July.
    5. Judge, William Q. & McNatt, D. Brian & Xu, Weichu, 2011. "The antecedents and effects of national corruption: A meta-analysis," Journal of World Business, Elsevier, vol. 46(1), pages 93-103, January.
    6. Bel Germà & Fageda Xavier & E. Mildred, 2014. "Is private production of public services cheaper than public production? A meta-regression analysis of solid waste and water services," Public administration issues, Higher School of Economics, issue 3, pages 103-140.
    7. Rafael La Porta & Florencio Lopez‐De‐Silanes & Andrei Shleifer, 1999. "Corporate Ownership Around the World," Journal of Finance, American Finance Association, vol. 54(2), pages 471-517, April.
    8. Treisman, Daniel, 2000. "The causes of corruption: a cross-national study," Journal of Public Economics, Elsevier, vol. 76(3), pages 399-457, June.
    9. Colin J. Roberts, 2005. "Issues in Meta‐Regression Analysis: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 295-298, July.
    10. Nina Mari van Loon & Wouter Vandenabeele & Peter Leisink, 2015. "On the bright and dark side of public service motivation: the relationship between PSM and employee wellbeing," Public Money & Management, Taylor & Francis Journals, vol. 35(5), pages 349-356, September.
    11. Jon Nelson & Peter Kennedy, 2009. "The Use (and Abuse) of Meta-Analysis in Environmental and Natural Resource Economics: An Assessment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(3), pages 345-377, March.
    12. James L. Perry, 2014. "The motivational bases of public service: foundations for a third wave of research," Asia Pacific Journal of Public Administration, Taylor & Francis Journals, vol. 36(1), pages 34-47, January.
    13. Bonin, John P & Jones, Derek C & Putterman, Louis, 1993. "Theoretical and Empirical Studies of Producer Cooperatives: Will Ever the Twain Meet?," Journal of Economic Literature, American Economic Association, vol. 31(3), pages 1290-1320, September.
    14. Daniel Lederman & Norman V. Loayza & Rodrigo R. Soares, 2005. "Accountability And Corruption: Political Institutions Matter," Economics and Politics, Wiley Blackwell, vol. 17, pages 1-35, March.
    15. T. D. Stanley, 2001. "Wheat from Chaff: Meta-analysis as Quantitative Literature Review," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 131-150, Summer.
    16. Aven, Forrest Jr. & Parker, Barbara & McEvoy, Glenn M., 1993. "Gender and attitudinal commitment to organizations: A Meta-analysis," Journal of Business Research, Elsevier, vol. 26(1), pages 63-73, January.
    Full references (including those not matched with items on IDEAS)

    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. Fan, Yubing & Wang, Chenggang & Nan, Zhibiao, 2018. "Determining water use efficiency of wheat and cotton: A meta-regression analysis," Agricultural Water Management, Elsevier, vol. 199(C), pages 48-60.
    2. Fan, Yubing & Wang, Chenggang & Nan, Zhibiao, 2016. "Determining water use efficiency for wheat and cotton: A meta-regression analysis," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236059, Agricultural and Applied Economics Association.
    3. Neves, Pedro Cunha & Afonso, Oscar & Silva, Diana & Sochirca, Elena, 2021. "The link between intellectual property rights, innovation, and growth: A meta-analysis," Economic Modelling, Elsevier, vol. 97(C), pages 196-209.
    4. Joan Costa‐Font & Marin Gemmill & Gloria Rubert, 2011. "Biases in the healthcare luxury good hypothesis?: a meta‐regression analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(1), pages 95-107, January.
    5. Eugen Dimant & Guglielmo Tosato, 2018. "Causes And Effects Of Corruption: What Has Past Decade'S Empirical Research Taught Us? A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 335-356, April.
    6. Elburz, Zeynep & Nijkamp, Peter & Pels, Eric, 2017. "Public infrastructure and regional growth: Lessons from meta-analysis," Journal of Transport Geography, Elsevier, vol. 58(C), pages 1-8.
    7. Stefan Hirsch, 2018. "Successful In The Long Run: A Meta†Regression Analysis Of Persistent Firm Profits," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 23-49, February.
    8. Germà Bel & Xavier Fageda, 2009. "Factors explaining local privatization: a meta-regression analysis," Public Choice, Springer, vol. 139(1), pages 105-119, April.
    9. Tomas Kucera, 2020. "Are Employment Effects of Minimum Wage the Same Across the EU? A Meta-Regression Analysis," Working Papers IES 2020/2, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2020.
    10. Choumert, Johanna & Combes Motel, Pascale & Dakpo, Hervé K., 2013. "Is the Environmental Kuznets Curve for deforestation a threatened theory? A meta-analysis of the literature," Ecological Economics, Elsevier, vol. 90(C), pages 19-28.
    11. Joan Costa-Font & Marin Gemmill & Gloria Rubert, 2008. "Re-visiting the Health Care Luxury Good Hypothesis: Aggregation, Precision, and Publication Biases?," Working Papers in Economics 197, Universitat de Barcelona. Espai de Recerca en Economia.
    12. Femenia, Fabienne, 2019. "A Meta-Analysis of the Price and Income Elasticities of Food Demand," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 68(2), June.
    13. David Guerreiro, 2010. "Une méta-analyse de l'impact des subventions sur le prix mondial du coton," Economie & Prévision, La Documentation Française, vol. 0(4), pages 111-125.
    14. Branger, Frédéric & Quirion, Philippe, 2014. "Would border carbon adjustments prevent carbon leakage and heavy industry competitiveness losses? Insights from a meta-analysis of recent economic studies," Ecological Economics, Elsevier, vol. 99(C), pages 29-39.
    15. Geyer-Klingeberg, Jerome & Hang, Markus & Rathgeber, Andreas W., 2019. "What drives financial hedging? A meta-regression analysis of corporate hedging determinants," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 203-221.
    16. Markus Hang & Jerome Geyer‐Klingeberg & Andreas Rathgeber & Stefan Stöckl, 2018. "Economic Development Matters: A Meta‐Regression Analysis on the Relation between Environmental Management and Financial Performance," Journal of Industrial Ecology, Yale University, vol. 22(4), pages 720-744, August.
    17. Jonathan Jones, 2017. "Agglomeration economies and the location of foreign direct investment: A meta-analysis," Journal of Regional Science, Wiley Blackwell, vol. 57(5), pages 731-757, November.
    18. Havranek, Tomas & Irsova, Zuzana & Janda, Karel, 2012. "Demand for gasoline is more price-inelastic than commonly thought," Energy Economics, Elsevier, vol. 34(1), pages 201-207.
    19. Maria Cipollina & Luca Salvatici, 2010. "Reciprocal Trade Agreements in Gravity Models: A Meta‐Analysis," Review of International Economics, Wiley Blackwell, vol. 18(1), pages 63-80, February.
    20. Fabio Menten & Benoît Chèze & Laure Patouillard & Frédérique Bouvart, 2013. "The use of Meta-Regression Analysis to harmonize LCA literature: an application to GHG emissions of 2nd and 3rd generation biofuels," Working Papers 2013/01, INRA, Economie Publique.

    More about this item

    Keywords

    Personal management; Public Administration; Public Service; Metaregression JEL classification:H83; H89; J68; M12;
    All these keywords.

    JEL classification:

    • H89 - Public Economics - - Miscellaneous Issues - - - Other
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation

    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:ira:wpaper:201825. 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: Alicia García (email available below). General contact details of provider: https://edirc.repec.org/data/feubaes.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.