IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01692069.html
   My bibliography  Save this paper

An Overview of Knowledge Management Techniques for e-Recruitment

Author

Listed:
  • Jorge Martinez-Gil

    (SCCH - Software Competence Center Hagenberg - JKU - University of Linz - Johannes Kepler Universität Linz)

Abstract

The number of potential job candidates and therefore, costs associated with their hiring, has grown significantly in the recent years. This is mainly due to both the complicated situation of the labour market and the increased geographical flexibility of employees. Some initiatives for making the e-Recruitment processes more efficient have notably improved the situation by developing automatic solutions. But there are still some challenges that remain open since traditional solutions do not consider semantic relations properly. This problem can be appropriately addressed by means of a sub discipline of knowledge management called semantic processing. Therefore, we overview the major techniques from this field that can play a key role in the design of a novel business model that is more attractive for job applicants and job providers.

Suggested Citation

  • Jorge Martinez-Gil, 2014. "An Overview of Knowledge Management Techniques for e-Recruitment," Post-Print hal-01692069, HAL.
    • Handle: RePEc:hal:journl:hal-01692069
    DOI: 10.1142/s0219649214500142
    Note: View the original document on HAL open archive server: https://hal.science/hal-01692069
    as

    Download full text from publisher

    File URL: https://hal.science/hal-01692069/document
    Download Restriction: no
    File URL: https://libkey.io/10.1142/s0219649214500142?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. J.O. Daramola & O.O. Oladipupo & A.G. Musa, 2010. "A fuzzy expert system (FES) tool for online personnel recruitments," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 6(4), pages 444-462.
    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. Jorge Martinez-Gil & Alejandra Lorena Paoletti & Mario Pichler, 0. "A Novel Approach for Learning How to Automatically Match Job Offers and Candidate Profiles," Information Systems Frontiers, Springer, vol. 0, pages 1-10.
    2. Jorge Martinez-Gil & Alejandra Lorena Paoletti & Mario Pichler, 2020. "A Novel Approach for Learning How to Automatically Match Job Offers and Candidate Profiles," Information Systems Frontiers, Springer, vol. 22(6), pages 1265-1274, December.

    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. Albérico Travassos Rosário & Joana Carmo Dias & Hélder Ferreira, 2023. "Bibliometric Analysis on the Application of Fuzzy Logic into Marketing Strategy," Businesses, MDPI, vol. 3(3), pages 1-22, July.
    2. Bilal HMOUD & Varallyai LASZLO, 2019. "Will Artificial Intelligence Take Over Humanresources Recruitment And Selection?," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 13, pages 21-30, July.
    3. Magdalena Graczyk-Kucharska & Robert Olszewski & Gerhard-Wilhelm Weber, 2023. "The use of spatial data mining methods for modeling HR challenges of generation Z in greater Poland Region," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(1), pages 205-237, March.

    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:hal:journl:hal-01692069. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.