• Title of article

    Identifying the Content Production Risk Components in Digital Libraries: A Qualitative Study

  • Author/Authors

    Mohammad Salehi, Raheleh Islamic Azad University science and research Branch, Tehran, Iran , Babalhavaeji, Fahimeh Department of Communication and Knowledge Science - Islamic Azad University Science and Research Branch, Tehran, Iran , Samiei, Mitra Department of Communication and Knowledge Sciences - Faculty of Psychology & Educational Sciences - Alameh Tabatabai University, Tehran, Iran , Hariri, Nadjla Department of Communication and Knowledge Science - Islamic Azad University Science and Research Branch, Tehran, Iran

  • Pages
    20
  • From page
    55
  • To page
    74
  • Abstract
    Risk management is a preventive activity that identifies project risks and technical and non-technical problems for key managers and stakeholders by identifying project risks. The introduction of new digital forms of information not only has created rich and extraordinary opportunities for libraries to expand community access to information and create a positive relationship between libraries and users but poses some degree of risk. The present study employs a qualitative research approach with The Fuzzy Delphi Method (FDM). For data collection, a researcher-made questionnaire was used to identify the risks of content production in digital libraries. The FDM was employed for complete analysis using 20 IT experts on a 5-point Likert scale. The study identified 61 sub-components under nine main content production risk components: human, environmental, infrastructure, conservation and maintenance, technical, copyright, integration, evaluations of resource content, and information security risks. The present study addresses the content production risk components so that authorities can assist in planning and decision-making to prevent and resolve content production issues in digital libraries.
  • Keywords
    risk management , risk identification , digital libraries , content production
  • Journal title
    International Journal of Information Science and Management (IJISM)
  • Serial Year
    2022
  • Record number

    2729797