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Web Content Mining Framework for Discovering University Formations’ Compatibility with the Market Needs

Author

Listed:
  • Camelia Elena CIOLAC

    (The Bucharest Academy of Economic Studies, Romania)

  • Florica LUBAN

    (The Bucharest Academy of Economic Studies, Romania)

  • Razvan Catalin DOBREA

    (The Bucharest Academy of Economic Studies, Romania)

Abstract

This paper aims to provide a decision tool for both academia and business in order to better reach convergence between the qualifications offered and demanded for fresh graduates. The study discovers the IT market’s request of capabilities by applying web-mining techniques on the main Romanian job web portals. Then, the study gathers information about the specific qualifications provided to students in both undergraduate and master computer science programs in five representative Romanian universities. Based on these findings, we propose a model to evaluate the degree of alignment of these two sets. The model is useful for all stakeholders: universities, companies including small and medium size enterprises, as a tool of career planning and it can be adapted to assess the best mobility program for students, as further discussed in the paper.

Suggested Citation

  • Camelia Elena CIOLAC & Florica LUBAN & Razvan Catalin DOBREA, 2010. "Web Content Mining Framework for Discovering University Formations’ Compatibility with the Market Needs," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 11(5), pages 1001-1016, December.
    • Handle: RePEc:rom:rmcimn:v:11:y:2010:i:5:p:1001-1016
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    File URL: https://www.rmci.ase.ro/no11vol5/20.pdf
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    References listed on IDEAS

    as
    1. Salas-Velasco, Manuel, 2009. "Beyond lectures and tutorials: Formal on-the-job training received by young European university graduates," Research in Economics, Elsevier, vol. 63(3), pages 200-211, September.
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    More about this item

    Keywords

    knowledge discovery; web content mining; e-recruitment; software agents; IT education.;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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