IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v50y2016i2p921-936.html

Models for quality analysis of services in the local public administration

Author

Listed:
  • Mihail Titu

  • Amelia Bucur

Abstract

The quality of services in the local public administration in Romania is a subject of high actuality in the context of the ever changing modern society, of making activities more efficient, aligning them to the international standards of democracy foundation in Romania (Androniceanu , in Noutăţi în managementul public, 1992 ; Baltador, in Managementul capacităţii admininistrative în administraţia publică locală, 2005 ; Comsa, in Măsurarea performanţei municipiilor reşedinţă de judeţ din România în furnizarea serviciilor publice locale în perioada 2003–2005, 2006 ; Raboca, in Măsurarea satisfacţiei clienţilor serviciilor publice, 2008 ). The mathematical modelling can be used successfully in this field too, at least through the quantifications that can be done with the help of the aggregated indicators. The scope of the article is to identify, describe and evaluate the services quality indicators in the local public administration and mathematical models in a society based on optimal communication of institutions with the citizens and to propose solutions in order to prevent and limit deficiencies in this communication. The research models were: the management theory, mathematical modelling and simulation. The results are made out of two global indicators for the quantification of the services quality in the local public administration, from justifying their composition by using the multi-criteria optimization and the simulation example in the SPSS16 software, for the statistical analysis of the defined indicators. The two types of global indicators that are proposed for quantifying the quality of the services in the local public administration can be used for both precise analysis, as well as estimations regarding the evolution of the quality level within the mentioned services or for establishing conclusions and measure plans regarding improving the quality of services in the local public administration. The scientific foundation of quality and quality management in the field of services in the local public administration together with an application of a study represent another part of this scientific paper. Using the group of quality indicators and the SWOT analysis previously proposed, by dividing this group into sub-groups corresponding to the four components of the Deming cycle, it was created and proposed a mathematical programming solution, which offers an optimal solution for the evaluation and improvement of services in the local public administration. Copyright Springer Science+Business Media Dordrecht 2016

Suggested Citation

  • Mihail Titu & Amelia Bucur, 2016. "Models for quality analysis of services in the local public administration," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 921-936, March.
  • Handle: RePEc:spr:qualqt:v:50:y:2016:i:2:p:921-936
    DOI: 10.1007/s11135-015-0183-3
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-015-0183-3
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11135-015-0183-3?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Ani MATEI & Tatiana-Camelia DOGARU, 2010. "The Administrative Convergence in the Balkan Area. Empirical Analysis of Social Policy in Romania and Bulgaria," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 3(3(544)), pages 5-24, March.
    2. Ralph L. Keeney, 1982. "Feature Article—Decision Analysis: An Overview," Operations Research, INFORMS, vol. 30(5), pages 803-838, October.
    3. Warren Torgerson, 1952. "Multidimensional scaling: I. Theory and method," Psychometrika, Springer;The Psychometric Society, vol. 17(4), pages 401-419, December.
    4. Mareschal, Bertrand, 1986. "Stochastic multicriteria decision making and uncertainty," European Journal of Operational Research, Elsevier, vol. 26(1), pages 58-64, July.
    5. P. L. Yu, 1973. "A Class of Solutions for Group Decision Problems," Management Science, INFORMS, vol. 19(8), pages 936-946, April.
    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. Agnieszka WÓJCIK-MAZUR & Justyna LUKOMSKA-SZAREK & Anna MARTYNKO & Krzysztof PIONTEK, 2022. "Impact Of The Covid-19 Pandemic On The Quality Of Customer Service In The Local Government Units," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2022(39), pages 133-153.

    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. Carlos Alós-Ferrer & Jaume García-Segarra & Miguel Ginés-Vilar, 2018. "Anchoring on Utopia: a generalization of the Kalai–Smorodinsky solution," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 6(2), pages 141-155, October.
    2. Alexander Strehl & Joydeep Ghosh, 2003. "Relationship-Based Clustering and Visualization for High-Dimensional Data Mining," INFORMS Journal on Computing, INFORMS, vol. 15(2), pages 208-230, May.
    3. Ralph L. Keeney & Robin S. Gregory, 2005. "Selecting Attributes to Measure the Achievement of Objectives," Operations Research, INFORMS, vol. 53(1), pages 1-11, February.
    4. Milad Zamanifar & Seyed Mohammad Seyedhoseyni, 2017. "Recovery planning model for roadways network after natural hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(2), pages 699-716, June.
    5. Ringuest, Jeffrey L. & Graves, Samuel B., 2000. "A sampling-based method for generating nondominated solutions in stochastic MOMP problems," European Journal of Operational Research, Elsevier, vol. 126(3), pages 651-661, November.
    6. Omer F. Baris, 2018. "Timing effect in bargaining and ex ante efficiency of the relative utilitarian solution," Theory and Decision, Springer, vol. 84(4), pages 547-556, June.
    7. Diaz-Balteiro, Luis & Romero, Carlos, 2004. "In search of a natural systems sustainability index," Ecological Economics, Elsevier, vol. 49(3), pages 401-405, July.
    8. Chen, Lisa Y. & Wang, Tien-Chin, 2009. "Optimizing partners' choice in IS/IT outsourcing projects: The strategic decision of fuzzy VIKOR," International Journal of Production Economics, Elsevier, vol. 120(1), pages 233-242, July.
    9. Tahani Coolen-Maturi, 2014. "A new weighted rank coefficient of concordance," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(8), pages 1721-1745, August.
    10. Jens Gudmundsson & Jens Leth Hougaard & Chiu Yu Ko, 2024. "Sharing Sequentially Triggered Losses: Automated Conflict Resolution Through Smart Contracts," Management Science, INFORMS, vol. 70(3), pages 1773-1786, March.
    11. Sancar Adali & Carey E. Priebe, 2016. "Fidelity-Commensurability Tradeoff in Joint Embedding of Disparate Dissimilarities," Journal of Classification, Springer;The Classification Society, vol. 33(3), pages 485-506, October.
    12. Torkayesh, Ali Ebadi & Pamucar, Dragan & Ecer, Fatih & Chatterjee, Prasenjit, 2021. "An integrated BWM-LBWA-CoCoSo framework for evaluation of healthcare sectors in Eastern Europe," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    13. Domenech, B. & Ferrer-Martí, L. & Pastor, R., 2015. "Hierarchical methodology to optimize the design of stand-alone electrification systems for rural communities considering technical and social criteria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 182-196.
    14. José Antón & Ana Tarquis & Juan Grau & Elena Sánchez & Antonio Saa & Mari-Cruz Díaz, 2014. "Application of Decision Theory methods for a soil classification in the Community of Madrid (Spain)," Annals of Operations Research, Springer, vol. 219(1), pages 203-229, August.
    15. Chunqiao Tan & Xiaohong Chen, 2013. "Interval‐Valued Intuitionistic Fuzzy Multicriteria Group Decision Making Based on VIKOR and Choquet Integral," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    16. Hisham Alidrisi, 2021. "An Innovative Job Evaluation Approach Using the VIKOR Algorithm," JRFM, MDPI, vol. 14(6), pages 1-19, June.
    17. Roberto Cervelló Royo & Fernando García García & Francisco Guijarro-Martínez & Ismael Moya-Clemente, 2011. "Housing Ranking: a model of equilibrium between buyers and sellers expectations," ERSA conference papers ersa11p314, European Regional Science Association.
    18. Song, Zhao-Yu & Lin, Cheng-Wei & Feng, Xuehao & Lee, Paul Tae-Woo, 2024. "An empirical study of the performance of the sixth generation ports model with smart ports with reference to major container ports in mainland China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    19. Büsing, Christina & Goetzmann, Kai-Simon & Matuschke, Jannik & Stiller, Sebastian, 2017. "Reference points and approximation algorithms in multicriteria discrete optimization," European Journal of Operational Research, Elsevier, vol. 260(3), pages 829-840.
    20. F. Blasco & E. Cuchillo-Ibáñez & M. A. Morón & C. Romero, 1999. "On the Monotonicity of the Compromise Set in Multicriteria Problems," Journal of Optimization Theory and Applications, Springer, vol. 102(1), pages 69-82, July.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:spr:qualqt:v:50:y:2016:i:2:p:921-936. 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.