Journal Information
Library Hi Tech
Impact Factor:

Call For Papers
Aims & Scope

Library Hi Tech (LHT) is an international, double-blind peer-reviewed, SSCI-listed journal that welcomes empirical, conceptual and methodological contributions on any topics relevant to the broad disciplines of information and communication technologies. However, LHT is particularly concerned with information management, technologies, and systems that support libraries and cultural memory, education and the academy, health and medicine, government/public sectors, and non-government organizations (NGOs). LHT covers the IT-enabled creation, curation, representation, communication, storage, retrieval, analysis, and use of records, documents, files, data, learning objects, and other contents. It also acts as a forum for interdisciplinary and emerging topics such as socio-information studies, educational technologies, knowledge management, big data, artificial intelligence, personal information protection, digital literacy, other media and technology innovation topics in their applications to libraries, as well as other education, information, government and NGOs. LHT welcomes research that applies a broad array of approaches and epistemologies, including any mix of qualitative, quantitative, mixed-methods, action, participatory, evaluation, design, development or other established methodologies.

This journal is abstracted and indexed by

    Book Review Index;
    Computer Science Index; 
    Current Index to Journals in Education;
    dblp Computer Science Bibliography;
    Education Full Text;
    Education Research Complete;
    Ergonomics Abstracts;
    Information Science & Technology Abstracts;
    (The) Informed Librarian;
    INSPEC (Electrical and Electronics Abstracts);
    Internet & Personal Computing Abstracts;
    Library and Information Science Abstracts;
    Library Literature and Information Science;
    Library Literature and Information Science Full Text;
    Library, Information Science and Technology Abstracts;
    OmniFile Full Text Mega;
    OmniFile Full Text Select;
Last updated by Dou Sun in 2020-03-18
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