IDEAS home Printed from https://ideas.repec.org/p/rjr/wpiecf/101001.html
   My bibliography  Save this paper

Predictions Regarding the Evolution Of Archiving Documents Generated by Business Entities

Author

Listed:
  • Teodorescu, Narcisa

    (Technical University of Civil Engineering, Bucharest)

  • Teodorescu, Ruxandra

    (University of Agronomical Science and Veterinary Medicine, Bucharest)

Abstract

The documents of any organization are created, modified, distributed through various routes, archived, accessed, re-delivered, re-archived. Taking into account that during the last few years the legislative framework regulating the record, inventory, selection, maintenance and use of archives was issued, according to the European regulations the companies are faced with some problems related to knowledge of the legal regulations in effect regarding archiving documents; methods of registering, recording, archiving and accessing the documents; predicting the evolution of the amounts of documents to be archived; predicting the space necessary for storing the archive; supervision of the archive and handling of the archive. The purpose of this article is to support business entities in order to resolve these issues; to determine the amount of archive for a given time period (n), and to estimate the appropriate archiving space.

Suggested Citation

  • Teodorescu, Narcisa & Teodorescu, Ruxandra, 2010. "Predictions Regarding the Evolution Of Archiving Documents Generated by Business Entities," Working Papers of Institute for Economic Forecasting 101001, Institute for Economic Forecasting.
    • Handle: RePEc:rjr:wpiecf:101001
    as

    Download full text from publisher

    File URL: http://www.ipe.ro/RePEc/WorkingPapers/wpiecf101001.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    mathematical models; management; data estimation;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business 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:rjr:wpiecf:101001. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Corina Saman (email available below). General contact details of provider: https://edirc.repec.org/data/ipacaro.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.