Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Didieji duomenys atrankos procese / ; Big data in recruitment.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Additional Information
    • Contributors:
      Girdauskienė, Lina
    • Publication Information:
      Institutional Repository of Kaunas University of Technology
    • Publication Date:
      2021
    • Collection:
      KTU ePubl (Kaunas University of Technology / Kauno Technologijos Universitetas)
    • Abstract:
      Relevance of the Topic. Organizations use big data in the recruitment process, as it is the recruitment process that is one of the essential processes of an organization to carry out its activities effectively. The recruitment process covers all activities and practices of organizations, which in turn helps to identify and attract potential candidates, optimizing the strategy of the recruitment process. Based on the analysis of big data, organizations can more effectively select the most suitable employees according to the relevant parameters, based on skills, specific knowledge, experience, personality. The analysis of big data can help not only to attract the right candidates, but also to determine how many employees will be needed in the future, it is to predict recruitment needs in real time. Also, not only is the collection and analysis of big data important to organizations, but also the sources of data extraction. Properly selected sources of big data allow organizations to accumulate high-quality, value-creating data that, in further analysis, contributes to a more objective decision-making, that is, a fully appropriate candidate selection (Scholz, 2017). Object of the Project – big data in recruitment. Aim of the Project - develop big data in recruitment process classifier. Tasks of the Project: 1. To reveal the concept of big data and determine the typology of big data, sources and their classification criteria; 2. Define the essential stages of the recruitment process; 3. To prepare a classifier of big data in recruitment process; 4. Empirically evaluate the classifier of big data in recruitment process. Key Research Results. The study revealed that in the I stage of the recruitment process, informants use structured, semi-structured and unstructured data types, these data are obtained from sources such as, internal databases, external databases, information portals, personal portals, social media, cloud computing, internet of things, business management systems. Unstructured data is extracted in ...
    • File Description:
      application/pdf
    • Relation:
      https://epubl.ktu.edu/object/elaba:93919348/93919348.pdf; https://vb.ktu.edu/KTU:ELABAETD93919348&prefLang=en_US
    • Online Access:
      https://vb.ktu.edu/KTU:ELABAETD93919348&prefLang=en_US
    • Rights:
      info:eu-repo/semantics/openAccess
    • Accession Number:
      edsbas.4A1A2ECF