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A review of Web searching studies and a framework for future research

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  • Bernard J. Jansen
  • Udo Pooch

Abstract

Research on Web searching is at an incipient stage. This aspect provides a unique opportunity to review the current state of research in the field, identify common trends, develop a methodological framework, and define terminology for future Web searching studies. In this article, the results from published studies of Web searching are reviewed to present the current state of research. The analysis of the limited Web searching studies available indicates that research methods and terminology are already diverging. A framework is proposed for future studies that will facilitate comparison of results. The advantages of such a framework are presented, and the implications for the design of Web information retrieval systems studies are discussed. Additionally, the searching characteristics of Web users are compared and contrasted with users of traditional information retrieval and online public access systems to discover if there is a need for more studies that focus predominantly or exclusively on Web searching. The comparison indicates that Web searching differs from searching in other environments.

Suggested Citation

  • Bernard J. Jansen & Udo Pooch, 2001. "A review of Web searching studies and a framework for future research," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(3), pages 235-246.
    • Handle: RePEc:bla:jamist:v:52:y:2001:i:3:p:235-246
    DOI: 10.1002/1097-4571(2000)9999:99993.0.CO;2-F
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    Cited by:

    1. Iwanicki Grzegorz & Dłużewska Anna & Kay Melanie Smith, 2016. "Assessing the Level of Popularity of European Stag Tourism Destinations," Quaestiones Geographicae, Sciendo, vol. 35(3), pages 15-29, September.
    2. Brenčič, Vera, 2014. "Search online: Evidence from acquisition of information on online job boards and resume banks," Journal of Economic Psychology, Elsevier, vol. 42(C), pages 112-125.
    3. Yan Yan & Shanwu Tian & Jingjing Zhang, 2020. "The impact of a paper’s new combinations and new components on its citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 895-913, February.
    4. Bo Jiang & Xinya Li & Sijiang Liu & Chuanyan Hao & Gangyao Zhang & Qiaomin Lin, 2022. "Experience of Online Learning from COVID-19: Preparing for the Future of Digital Transformation in Education," IJERPH, MDPI, vol. 19(24), pages 1-18, December.
    5. Pan, Bing, 2015. "The power of search engine ranking for tourist destinations," Tourism Management, Elsevier, vol. 47(C), pages 79-87.
    6. Dotsika, Fefie, 2010. "Semantic APIs: Scaling up towards the Semantic Web," International Journal of Information Management, Elsevier, vol. 30(4), pages 335-342.
    7. Veda C. Storey & Andrew Burton-Jones & Vijayan Sugumaran & Sandeep Purao, 2008. "CONQUER: A Methodology for Context-Aware Query Processing on the World Wide Web," Information Systems Research, INFORMS, vol. 19(1), pages 3-25, March.

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