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        <title type="main" level="a">Sizing &amp; Allocation in Labour Market: business strategies and multivariate analysis</title>
        <author>
          <persName n="1" ref="https://orcid.org/0000-0002-4050-5316" type="ORCID">
            <forename>Andrea</forename>
            <surname>Marletta</surname>
            <placeName type="affiliation">University of Milano-Bicocca, Italy</placeName>
          </persName>
        </author>
        <respStmt>
          <resp>This is a section of <title>ASA 2021 Statistics and Information Systems for Policy Evaluation  </title>(DOI: <idno type="DOI">10.36253/978-88-5518-461-8</idno>) by </resp>
          <name>Alessandra Petrucci, Bruno Bertaccini, Luigi Fabbris</name>
        </respStmt>
      </titleStmt>
      <publicationStmt>
        <publisher>Firenze University Press</publisher>
        <pubPlace>Firenze</pubPlace>
        <date when="2021">2021</date>
        <idno type="DOI">https://doi.org/10.36253/978-88-5518-461-8.23</idno>
        <availability>
          <p>Available for academic research purposes</p>
          <p>Open Access</p>
          <p>Copyright Author(s)</p>
          <licence source="text" target="https://creativecommons.org/licenses/by/4.0/legalcode">
            <p>Content licence CC BY 4.0</p>
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            <p>Metadata licence CC0 1.0</p>
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        <p>This is original content, published for academic research purposes</p>
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      <abstract xml:lang="en">
        <p>In Labour Market, the issue of Sizing and Allocation is a discussed problem. In this study, this topic has been considered from a statistical point of view. Indeed, the choice to change the number of your team of employees in a business context needs a very accurate analysis. If for example a firm decides to launch a new product on the market, it could be necessary to recruit new resources. The proposed statistical approach aims to give some hints about the total number of employees analysing the features of the existing market and the territorial geography. From a statistical point of two techniques of multivariate analysis have been presented as exploratory tools. In the application, a Principal Component Analysis has been used to investigate the business environment after some qualitative interviews to the board of the company. In a second step, some different scenarios have been proposed to determine the exact number of new resources using a data hybridization technique including internal and external sources. Finally, the allocation of the new hired of the scenarios on the Italian territory has been achieved thanks to the construction of a territorial potential index.</p>
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        <keywords>
          <list>
            <item>Labour Market</item>
            <item>Multivariate analysis</item>
            <item>Number of employees</item>
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      <p>It is available online at https://doi.org/10.36253/978-88-5518-461-8.23<ref target="https://doi.org/10.36253/978-88-5518-461-8.23" /></p>
      <div>
        <listBibl>
          <head>References</head>
          <bibl n="60595">Istat a. (2020). Health for All. &amp;lt;https://www.istat.it/it/archivio/14562&amp;gt;.</bibl>
          <bibl n="60596">Istat b. (2020). Geo-demo. &amp;lt;http://demo.istat.it/&amp;gt;.</bibl>
          <bibl n="60597">Jolliffe, I. T. (2002). Principal Component Analysis, 2nd edn. Series: Springer Series in Statistics, XXIX, 487. illus. Springer, NY, 28.</bibl>
          <bibl n="60598">Mariani, P., (2002). La statistica in azienda, contesti ed applicazioni. Franco Angeli, Milano.</bibl>
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