International Journal of Metaverse & Virtual Transformation

Digital Transformation in Libraries: Identifying the Main Components in a Knowledge Extraction System Based on Single Sign On

Document Type : Original Article

Authors

Mila Malekolkalami 1
Mohammad Hassanzadeh 2

1 Knowledge and Information Science-Knowledge Management, Management and Economics Faculty, Tarbiat Modares University, Tehran, Iran

2 Full-Prof., Knowledge and Information Science-Knowledge Management, Management and Economics faculty, Tarbiat Modares University, Tehran, Iran

Abstract
This study aims to identify the main components in a Knowledge Extraction System based on Single Sign-On in libraries. This research is with a mixed approach and it is an exploration based on the Sandelusky and Bargo (2006) model.  The studies from 2000 to 2022 were analyzed in ATLAS Ti software. In the quantitative phase, the statistical population is 12 experts in knowledge management and libraries who were selected by purposeful sampling. MICMAC software was used for the ISM method. 40 codes were categorized into 4 main themes of knowledge extraction based on SSO features including Infrastructural measures of knowledge extraction, Knowledge organization, Integration of knowledge, and Monitoring and updating knowledge. Access using unit code with the rank of 1 and frequency of 12 is one of the most important components in a knowledge extraction system based on SSO in libraries. According to the ISM, the knowledge extraction system based on SSO in libraries has four levels. Since SSO is one of the hot trends and high topics in the field of libraries, there can be a knowledge extraction system based on SSO features to help share and develop knowledge.

Keywords

Single Sign-On
Knowledge Extraction
Digital Library
Digital Transformation
Artificial Intelligence
Subjects

  • Receive Date 13 September 2024
  • Revise Date 25 October 2024
  • Accept Date 23 November 2024

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