Essec\Faculty\Model\Contribution {#2216
  #_index: "academ_contributions"
  #_id: "2154"
  #_source: array:26 [
    "id" => "2154"
    "slug" => "optimal-career-strategies-and-brain-drain-in-academia"
    "yearMonth" => "2016-01"
    "year" => "2016"
    "title" => "Optimal Career Strategies and Brain Drain in Academia"
    "description" => "SEIDL, A., WRZACZEK, S., EL OUARDIGHI, F. et FEICHTINGER, G. (2016). Optimal Career Strategies and Brain Drain in Academia. <i>Journal of Optimization Theory and Applications</i>, 168(1), pp. 268-295."
    "authors" => array:4 [
      0 => array:3 [
        "name" => "EL OUARDIGHI Fouad"
        "bid" => "B00000177"
        "slug" => "el-ouardighi-fouad"
      ]
      1 => array:1 [
        "name" => "SEIDL A."
      ]
      2 => array:1 [
        "name" => "WRZACZEK S."
      ]
      3 => array:1 [
        "name" => "FEICHTINGER G."
      ]
    ]
    "ouvrage" => ""
    "keywords" => array:4 [
      0 => "Optimal control"
      1 => "Academic career"
      2 => "History dependence"
      3 => "Human capital"
    ]
    "updatedAt" => "2021-02-02 16:16:18"
    "publicationUrl" => "https://link.springer.com/article/10.1007/s10957-015-0747-3"
    "publicationInfo" => array:3 [
      "pages" => "268-295"
      "volume" => "168"
      "number" => "1"
    ]
    "type" => array:2 [
      "fr" => "Articles"
      "en" => "Journal articles"
    ]
    "support_type" => array:2 [
      "fr" => "Revue scientifique"
      "en" => "Scientific journal"
    ]
    "countries" => array:2 [
      "fr" => null
      "en" => null
    ]
    "abstract" => array:2 [
      "fr" => "The present paper investigates by means of an optimal control model how the reward of competencies in research and teaching in the private sector affects investments into these skills as well as the decision on whether and when to optimally leave academia. As the decision between academia and industry is obvious if a scientist has strong preference for either, we focus on scenarios where this is not the case."
      "en" => "The present paper investigates by means of an optimal control model how the reward of competencies in research and teaching in the private sector affects investments into these skills as well as the decision on whether and when to optimally leave academia. As the decision between academia and industry is obvious if a scientist has strong preference for either, we focus on scenarios where this is not the case."
    ]
    "authors_fields" => array:2 [
      "fr" => "Systèmes d'Information, Data Analytics et Opérations"
      "en" => "Information Systems, Data Analytics and Operations"
    ]
    "indexedAt" => "2024-12-03T17:21:44.000Z"
    "docTitle" => "Optimal Career Strategies and Brain Drain in Academia"
    "docSurtitle" => "Journal articles"
    "authorNames" => "<a href="/cv/el-ouardighi-fouad">EL OUARDIGHI Fouad</a>, SEIDL A., WRZACZEK S., FEICHTINGER G."
    "docDescription" => "<span class="document-property-authors">EL OUARDIGHI Fouad, SEIDL A., WRZACZEK S., FEICHTINGER G.</span><br><span class="document-property-authors_fields">Information Systems, Data Analytics and Operations</span> | <span class="document-property-year">2016</span>"
    "keywordList" => "<a href="#">Optimal control</a>, <a href="#">Academic career</a>, <a href="#">History dependence</a>, <a href="#">Human capital</a>"
    "docPreview" => "<b>Optimal Career Strategies and Brain Drain in Academia</b><br><span>2016-01 | Journal articles </span>"
    "docType" => "research"
    "publicationLink" => "<a href="https://link.springer.com/article/10.1007/s10957-015-0747-3" target="_blank">Optimal Career Strategies and Brain Drain in Academia</a>"
  ]
  +lang: "en"
  +"_type": "_doc"
  +"_score": 9.19509
  +"parent": null
}