• DocumentCode
    526560
  • Title

    Notice of Retraction
    A resilience framework for evaluating adaptive allocation in information resources: An ecology view

  • Author

    Zheng lu ; Le zhongJian

  • Author_Institution
    Sch. of Inf. Technol., Jiangxi Univ. of finance & Econ., Nanchang, China
  • Volume
    4
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    344
  • Lastpage
    347
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    Adaptive allocation brings adaptive approaches in pursuit of sustainable social resource use and social-ecological information resilience. However, a lack of evidence from consistent evaluation of adaptive allocation exacerbates the doubt of this allocation. This paper revisits the issue of evaluation in information resource allocation and recasts it in light of complex adaptive systems thinking. An evaluative framework for adaptive allocation is developed which directs attention toward four broad components: society ecosystem conditions, information ecosystem conditions, ecological sustainability and process. Scale-specific parameters are offered for each component to facilitate systematic learning from experience and encourage comparisons. Conclusions highlight the importance of systematically incorporating evaluation into the adaptive allocation process and recognize the challenge for information resource agencies and researchers to shift from a conventional to a complex adaptive system perspective.
  • Keywords
    information resources; socio-economic effects; adaptive allocation; ecological sustainability; ecology view; information ecosystem condition; information resource allocation; scale-specific parameter; social-ecological information resilience; society ecosystem condition; sustainable social resource use; Economics; Resilience; Resource management; Adaptive allocation; Complex adaptive system; Evaluation; Resilience; information resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5564589
  • Filename
    5564589