Essec\Faculty\Model\Contribution {#2216
  #_index: "academ_contributions"
  #_id: "15961"
  #_source: array:26 [
    "id" => "15961"
    "slug" => "15961-mining-consumer-mindset-metrics-with-user-generated-content"
    "yearMonth" => "2025-09"
    "year" => "2025"
    "title" => "Mining Consumer Mindset Metrics With User-Generated Content"
    "description" => "KÜBLER, R., ADLER, S., WELKE, L., SARSTEDT, M. et KOEN PAUWELS, K. (2025). Mining Consumer Mindset Metrics With User-Generated Content. <i>Schmalenbach Journal of Business Research (SBUR)</i>, 77(3), pp. 1-29."
    "authors" => array:5 [
      0 => array:3 [
        "name" => "KÜBLER Raoul"
        "bid" => "B00806952"
        "slug" => "kubler-raoul"
      ]
      1 => array:1 [
        "name" => "ADLER Susanne"
      ]
      2 => array:1 [
        "name" => "WELKE Lina"
      ]
      3 => array:1 [
        "name" => "SARSTEDT Marko"
      ]
      4 => array:1 [
        "name" => "KOEN PAUWELS Koen"
      ]
    ]
    "ouvrage" => ""
    "keywords" => array:1 [
      0 => """
        Mindset metrics · User-generated content · Construct validity ·\n
        Machine learning · Customer decision journey
        """
    ]
    "updatedAt" => "2025-09-05 17:03:47"
    "publicationUrl" => "https://doi.org/10.1007/s41471-025-00219-4"
    "publicationInfo" => array:3 [
      "pages" => "1-29"
      "volume" => "77"
      "number" => "3"
    ]
    "type" => array:2 [
      "fr" => "Articles"
      "en" => "Journal articles"
    ]
    "support_type" => array:2 [
      "fr" => "Revue scientifique"
      "en" => "Scientific journal"
    ]
    "countries" => array:2 [
      "fr" => "Allemagne"
      "en" => "Germany"
    ]
    "abstract" => array:2 [
      "fr" => "In the wake of digital transformation, marketers gained access to large amounts of user-generated content and data in which consumers specifically mention and discuss brands, products, and services. This data offers rich information potential and may ultimately provide marketers with the ability to use this data pool to approximate survey-based consumer mindset metrics that mirror consumer attitudes alongside the different levels of the decision-making process. We argue that leveraging this potential may ultimately help marketers overcome common limitations of survey-based metrics and enable companies to observe and track mindset metrics that have been so far inaccessible due to financial and other constraints. To this end, we propose a four-step process that first identifies the key aspects of a mindset metric based on the existing body of developed constructs, then pinpoints potential data sources, and subsequently chooses an adequate data transformation tool."
      "en" => "In the wake of digital transformation, marketers gained access to large amounts of user-generated content and data in which consumers specifically mention and discuss brands, products, and services. This data offers rich information potential and may ultimately provide marketers with the ability to use this data pool to approximate survey-based consumer mindset metrics that mirror consumer attitudes alongside the different levels of the decision-making process. We argue that leveraging this potential may ultimately help marketers overcome common limitations of survey-based metrics and enable companies to observe and track mindset metrics that have been so far inaccessible due to financial and other constraints. To this end, we propose a four-step process that first identifies the key aspects of a mindset metric based on the existing body of developed constructs, then pinpoints potential data sources, and subsequently chooses an adequate data transformation tool."
    ]
    "authors_fields" => array:2 [
      "fr" => "Marketing"
      "en" => "Marketing"
    ]
    "indexedAt" => "2025-12-06T04:21:49.000Z"
    "docTitle" => "Mining Consumer Mindset Metrics With User-Generated Content"
    "docSurtitle" => "Journal articles"
    "authorNames" => "<a href="/cv/kubler-raoul">KÜBLER Raoul</a>, ADLER Susanne, WELKE Lina, SARSTEDT Marko, KOEN PAUWELS Koen"
    "docDescription" => "<span class="document-property-authors">KÜBLER Raoul, ADLER Susanne, WELKE Lina, SARSTEDT Marko, KOEN PAUWELS Koen</span><br><span class="document-property-authors_fields">Marketing</span> | <span class="document-property-year">2025</span>"
    "keywordList" => """
      <a href="#">Mindset metrics · User-generated content · Construct validity ·\n
      Machine learning · Customer decision journey</a>
      """
    "docPreview" => "<b>Mining Consumer Mindset Metrics With User-Generated Content</b><br><span>2025-09 | Journal articles </span>"
    "docType" => "research"
    "publicationLink" => "<a href="https://doi.org/10.1007/s41471-025-00219-4" target="_blank">Mining Consumer Mindset Metrics With User-Generated Content</a>"
  ]
  +lang: "en"
  +"_score": 8.671596
  +"_ignored": array:2 [
    0 => "abstract.en.keyword"
    1 => "abstract.fr.keyword"
  ]
  +"parent": null
}