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Intermediation and Decision Support System for the Management of Unemployment: The Simulator of Duration

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Digital Economy. Emerging Technologies and Business Innovation (ICDEc 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 290))

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Abstract

Nowadays, many studies revealed a mismatch between job’s offers and demands on job market due to several factors such as the lack of reliable data and the shortage role of public mediators. Therefore we proposed a new support system for the management of unemployment.

For this purpose, we have applied a Search Hierarchical Association Rules for Knowledge algorithm (SHARK) in order to bring light on individual determinants of unemployment duration in Tunisia. Hence, Discrete-choice models have been used to establish a accurate mechanism which describes the behaviour of long-term unemployed in Tunisia.

Thus, we developed a simulator to estimate efficiently the unemployment duration in order to enhance the process of matching by public intermediaries.

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Notes

  1. 1.

    Information technologies.

  2. 2.

    Knowledge Discovery in Databases.

  3. 3.

    Hegland, M. (2001). Data mining techniques. Acta Numerica 2001, 10, 313–355.

  4. 4.

    According to The National Institute of statistics of Tunisia and to ILO recommendations.

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Authors and Affiliations

  1. Economics, Management and Quantitative Finance Laboratory (LaREMFiQ), IHEC, Sousse, Tunisia

    Anis Ben Ahmed Lachiheb

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  1. Anis Ben Ahmed Lachiheb
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Correspondence to Anis Ben Ahmed Lachiheb .

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Editors and Affiliations

  1. University of Manouba, Manouba, Tunisia

    Rim Jallouli

  2. University of Alberta, Edmonton, Alberta, Canada

    Osmar R. Zaïane

  3. University of Tunis, Tunis, Tunisia

    Mohamed Anis Bach Tobji

  4. University of Manouba, Manouba, Tunisia

    Rym Srarfi Tabbane

  5. University of Twente, Enschede, The Netherlands

    Anton Nijholt

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Lachiheb, A.B.A. (2017). Intermediation and Decision Support System for the Management of Unemployment: The Simulator of Duration. In: Jallouli, R., Zaïane, O., Bach Tobji, M., Srarfi Tabbane, R., Nijholt, A. (eds) Digital Economy. Emerging Technologies and Business Innovation. ICDEc 2017. Lecture Notes in Business Information Processing, vol 290. Springer, Cham. https://doi.org/10.1007/978-3-319-62737-3_9

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  • DOI: https://doi.org/10.1007/978-3-319-62737-3_9

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