MURAL - Maynooth University Research Archive Library



    Exploring demand and capability for managing organizational knowledge in government


    Dzhusupova, Zamira, Estevez, Elsa and Ojo, Adegboyega (2012) Exploring demand and capability for managing organizational knowledge in government. In: dg.o '12: Proceedings of the 13th Annual International Conference on Digital Government Research, June 2012.

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    Abstract

    The ability of governments to develop and effectively manage knowledge assets is now considered a critical capability for electronic governance. Good Knowledge Management (KM) practices in government are usually driven by clear vision and objectives which are part of KM strategies. Developing such government-wide KM vision and objectives requires inputs from individual government agencies and other stakeholders on their needs and priorities (so-called demand-side). However, while there is significant literature on models and tools for measuring KM capabilities (so-called supply-side) and impact of KM practices, very few scholarly work is available on assessment of specific KM needs of individual agencies or other stakeholders. This paper presents an Integrated KM Assessment Model which measures both the demand and supply sides of KM in government. The model was used for assessing the KM needs and capabilities of government agencies in Macao SAR as part of a study for determining the readiness of government as a whole for KM. Results from our study show that innovation in government operations is considered by agencies to be the most KM demanded area, while KM capability for task-specific activities was found to be the weakest KM capability area. In addition, document-intensive and high-volume transaction agencies, such as educational, financial, electronic data interchange agencies have relatively higher KM awareness and capability.
    Item Type: Conference or Workshop Item (Paper)
    Keywords: Knowledge Management and Electronic Government; Knowledge Management Assessment;
    Academic Unit: Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI
    Faculty of Social Sciences > School of Business
    Item ID: 15873
    Identification Number: 10.1145/2307729.2307749
    Depositing User: Adegboyega Ojo
    Date Deposited: 25 Apr 2022 14:49
    Refereed: Yes
    URI: https://mu.eprints-hosting.org/id/eprint/15873
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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