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Data Management in Tourism: Chaotic and Quixotic

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Abstract

Large quantities of data continue to be collected describing many facets of travel and tourism. These new data are layered on top of extensive collection efforts of the past causing claims of data overload and information and knowledge underload. Using travel demand data and examples from throughout the world, this paper discusses issues and problems encountered at various levels in utilizing data. Further, it points out alternative ways in which these data might be managed to create a knowledge management framework.

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© 2000 Springer-Verlag Wien

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O’Leary, J.T. (2000). Data Management in Tourism: Chaotic and Quixotic. In: Fesenmaier, D.R., Klein, S., Buhalis, D. (eds) Information and Communication Technologies in Tourism 2000. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6291-0_14

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  • DOI: https://doi.org/10.1007/978-3-7091-6291-0_14

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-83483-1

  • Online ISBN: 978-3-7091-6291-0

  • eBook Packages: Springer Book Archive

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