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Managing web repositories in emerging economies: Case studies of browsing web directories

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  • Chung, Wingyan

Abstract

Over the past decade, worldwide Internet usage has grown tremendously, with the most rapid growth in some emerging economies such as Latin America and the Middle East, where people speaking different languages actively seek information on the web. Global search engines may not adequately address local users’ needs while regional web portals may lack rich web content. Different from search engines, web directories organize sites and pages into intuitive hierarchical structures to facilitate browsing. However, high-quality web directories in users’ native languages often do not exist and their development requires much domain knowledge not readily available. In this research, we proposed a novel semi-automatic approach to facilitate web repository management. We applied the approach to developing web directories in the business and health-care domains for the Spanish-speaking and Arabic-speaking communities respectively. The two directories contain respectively 4735 and 5107 unique sites and pages with a maximum depth of 5 levels. Results of experiments involving 37 native speakers show that these directories outperformed existing benchmark directories in terms of browsing effectiveness and efficiency, providing strong implications for information professionals and multinational enterprise managers.

Suggested Citation

  • Chung, Wingyan, 2012. "Managing web repositories in emerging economies: Case studies of browsing web directories," International Journal of Information Management, Elsevier, vol. 32(3), pages 232-238.
    • Handle: RePEc:eee:ininma:v:32:y:2012:i:3:p:232-238
    DOI: 10.1016/j.ijinfomgt.2011.11.004
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    References listed on IDEAS

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    1. Wingyan Chung & Hsinchun Chen & Edna Reid, 2009. "Business stakeholder analyzer: An experiment of classifying stakeholders on the Web," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(1), pages 59-74, January.
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    Cited by:

    1. Chung, Wingyan, 2014. "BizPro: Extracting and categorizing business intelligence factors from textual news articles," International Journal of Information Management, Elsevier, vol. 34(2), pages 272-284.

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