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    Social informatics guided social intelligence management and its analysis in the Asia-pacific contexts

    Access Status
    Fulltext not available
    Authors
    Nimmagadda, Shastri
    Mani, N.
    Reiners, Torsten
    Namugenyi, C.
    Date
    2020
    Type
    Conference Paper
    
    Metadata
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    Citation
    Nimmagadda, S. and Reiners, T. and Mani, N. and Namugenyi, C. 2020. Social Informatics guided Social Intelligence Management and its Analysis in the Asia-Pacific Contexts, in Proceedings of the 23rd Pacific Asia Conference on Information Systems (PACIS): Information Systems (IS) for the Future, No. 221. Dubai, UAE: PACIS.
    Source Title
    Proceedings of the 23rd Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020
    Additional URLs
    https://aisel.aisnet.org/pacis2020/index.4.html
    Faculty
    Faculty of Business and Law
    School
    School of Management
    URI
    http://hdl.handle.net/20.500.11937/81140
    Collection
    • Curtin Research Publications
    Abstract

    © Proceedings of the 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020. All rights reserved. The research is aimed at investigating knowledge-based social informatics solutions. Socio-economic development relies on technology use in education and employment sectors. To explore such challenges, we examine the existing indicators of socio-economic development, such as gender equalities, employment, and education and population growth attribute dimensions. To understand them precisely, we analyse large-size human ecosystems and their data analytics. Social-informatics and -intelligence analysis are proposed with the design of logical and physical data schemas in diverse socio-economic contexts and their interoperability in varied geographies. We compute predictive models for different attribute dimensions, usable by technology developers and policy-makers. We interpret the data views of digital human ecosystems in the form of various graphs, tables, and polynomial regressions to envisage the influence of technology on societal collisions. The polynomial regressions suggest a strong positive relationship between different socioeconomic attributes, cognizing the social intelligence and its knowledge management in Asia-Pacific contexts.

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