IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Une Validation Des Temps Standards D'Operation Dans Le Secteur Des Services

  • Gervais Thenet

    (CREM - Centre de Recherche en Economie et Management - CNRS : UMR6211 - Université de Rennes I - Université de Caen)

Registered author(s):

    Cet article décrit, en recourrant aux approches DEA et aux frontières de production stochastisques, la mise en place d'un outil de benchmaking interne dans le secteur des services. Il permet également de valider l'utilisation de temps standards d'opérations lorsque la fonction de production n'est pas toujours bien spécifiée ou se prête difficilement à des évaluations de la performance administrative.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://halshs.archives-ouvertes.fr/docs/00/54/80/49/PDF/07-THENET.pdf
    Download Restriction: no

    Paper provided by HAL in its series Post-Print with number halshs-00548049.

    as
    in new window

    Length:
    Date of creation: May 2006
    Date of revision:
    Publication status: Published - Presented, COMPTABILITE, CONTROLE, AUDIT ET INSTITUTION(S), 2006, Tunisia
    Handle: RePEc:hal:journl:halshs-00548049
    Note: View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00548049/en/
    Contact details of provider: Web page: http://hal.archives-ouvertes.fr/

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    2. Ferrier, Gary D. & Lovell, C. A. Knox, 1990. "Measuring cost efficiency in banking : Econometric and linear programming evidence," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 229-245.
    3. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(03), December.
    4. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    5. Brynjolfsson, Erik. & Hitt, Lorin M., 1995. "Paradox lost? : firm-level evidence on the returns to information systems spending," Working papers 3786-95., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    6. Baba Prasad & Patrick T. Harker, 1997. "Examining the Contribution of Information Technology Toward Productivity and Profitability in U.S. Retail Banking," Center for Financial Institutions Working Papers 97-09, Wharton School Center for Financial Institutions, University of Pennsylvania.
    7. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    8. Grabowski, Richard & Rangan, Nanda & Rezvanian, Rasoul, 1993. "Organizational forms in banking: An empirical investigation of cost efficiency," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 531-538, April.
    9. Frank R. Lichtenberg, 1993. "The Output Contributions of Computer Equipment and Personnel: A Firm- Level Analysis," NBER Working Papers 4540, National Bureau of Economic Research, Inc.
    10. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    11. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    12. Jacques De Bandt, 1988. "Le débat sur la productivité dans les services : des problèmes mal posés," Revue d'Économie Industrielle, Programme National Persée, vol. 43(1), pages 179-195.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:hal:journl:halshs-00548049. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CCSD)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.