Emergence of collective intelligence in online communities

Monika Mačiulienė, Aelita Skaržauskienė

    Research output: Contribution to journalArticle

    10 Citations (Scopus)

    Abstract

    The main focus of this study is on the scientific identification of preconditions for collective intelligence (CI) to emerge and the prediction of possible development scenarios based on qualitative research results. The research subject is online communities that use innovative social technologies encouraging collective decision making, creativity, entrepreneurship and cooperation. The research treats such platforms of indirect communication as environments for the development of CI. The qualitative content analysis aims at exploring similarities, differences, and relations between interview segments and the theoretical framework for CI Potential Index. Qualitative research allows to deepen the understanding of CI and specifies a further direction for theoretical and empirical research. The research conclusions lead to the re-design and alteration of the proposed methodological framework for CI Potential Index.

    Original languageEnglish
    Pages (from-to)1718-1724
    Number of pages7
    JournalJournal of Business Research
    Volume69
    Issue number5
    DOIs
    Publication statusPublished - May 1 2016

    Fingerprint

    Online communities
    Collective intelligence
    Qualitative research
    Social technologies
    Communication
    Creativity
    Content analysis
    Empirical research
    Scenarios
    Redesign
    Prediction
    Entrepreneurship
    Theoretical framework
    Collective decision-making

    Keywords

    • Collective intelligence
    • Knowledge management
    • Online communities
    • Social indices

    ASJC Scopus subject areas

    • Marketing

    Cite this

    Emergence of collective intelligence in online communities. / Mačiulienė, Monika; Skaržauskienė, Aelita.

    In: Journal of Business Research, Vol. 69, No. 5, 01.05.2016, p. 1718-1724.

    Research output: Contribution to journalArticle

    @article{a4ecb1fec2124e87ba9c8e76bc291494,
    title = "Emergence of collective intelligence in online communities",
    abstract = "The main focus of this study is on the scientific identification of preconditions for collective intelligence (CI) to emerge and the prediction of possible development scenarios based on qualitative research results. The research subject is online communities that use innovative social technologies encouraging collective decision making, creativity, entrepreneurship and cooperation. The research treats such platforms of indirect communication as environments for the development of CI. The qualitative content analysis aims at exploring similarities, differences, and relations between interview segments and the theoretical framework for CI Potential Index. Qualitative research allows to deepen the understanding of CI and specifies a further direction for theoretical and empirical research. The research conclusions lead to the re-design and alteration of the proposed methodological framework for CI Potential Index.",
    keywords = "Collective intelligence, Knowledge management, Online communities, Social indices",
    author = "Monika Mačiulienė and Aelita Skaržauskienė",
    year = "2016",
    month = "5",
    day = "1",
    doi = "10.1016/j.jbusres.2015.10.044",
    language = "English",
    volume = "69",
    pages = "1718--1724",
    journal = "Journal of Business Research",
    issn = "0148-2963",
    publisher = "Elsevier Inc.",
    number = "5",

    }

    TY - JOUR

    T1 - Emergence of collective intelligence in online communities

    AU - Mačiulienė, Monika

    AU - Skaržauskienė, Aelita

    PY - 2016/5/1

    Y1 - 2016/5/1

    N2 - The main focus of this study is on the scientific identification of preconditions for collective intelligence (CI) to emerge and the prediction of possible development scenarios based on qualitative research results. The research subject is online communities that use innovative social technologies encouraging collective decision making, creativity, entrepreneurship and cooperation. The research treats such platforms of indirect communication as environments for the development of CI. The qualitative content analysis aims at exploring similarities, differences, and relations between interview segments and the theoretical framework for CI Potential Index. Qualitative research allows to deepen the understanding of CI and specifies a further direction for theoretical and empirical research. The research conclusions lead to the re-design and alteration of the proposed methodological framework for CI Potential Index.

    AB - The main focus of this study is on the scientific identification of preconditions for collective intelligence (CI) to emerge and the prediction of possible development scenarios based on qualitative research results. The research subject is online communities that use innovative social technologies encouraging collective decision making, creativity, entrepreneurship and cooperation. The research treats such platforms of indirect communication as environments for the development of CI. The qualitative content analysis aims at exploring similarities, differences, and relations between interview segments and the theoretical framework for CI Potential Index. Qualitative research allows to deepen the understanding of CI and specifies a further direction for theoretical and empirical research. The research conclusions lead to the re-design and alteration of the proposed methodological framework for CI Potential Index.

    KW - Collective intelligence

    KW - Knowledge management

    KW - Online communities

    KW - Social indices

    UR - http://www.scopus.com/inward/record.url?scp=84959099640&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84959099640&partnerID=8YFLogxK

    U2 - 10.1016/j.jbusres.2015.10.044

    DO - 10.1016/j.jbusres.2015.10.044

    M3 - Article

    VL - 69

    SP - 1718

    EP - 1724

    JO - Journal of Business Research

    JF - Journal of Business Research

    SN - 0148-2963

    IS - 5

    ER -