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Online classified advertising: a review and bibliometric analysis

Author

Listed:
  • Chencheng Fang

    (Tongji University)

  • Jiantong Zhang

    (Tongji University)

  • Wei Qiu

    (Tongji University)

Abstract

The study of online classified advertising has been evolving recently, with rapid growth in the quantity of publications. Many studies have focused on certain aspects of online classified advertising, such as its societal influence. However, an additional analysis of those studies using rigorous bibliometric tools, which are supposed to offer further research guidance, has not yet been performed. This paper therefore begins by identifying 105 published articles, of which 60 works of proven influence are selected. With the help of rigorous bibliometric and network techniques, established and potential research clusters are identified, together with the collaborative relationships among contributing authors and organizations. A systematic review of this field is helpful in graphically depicting the literature over time and identifying current research focuses as well as emerging trends for future research.

Suggested Citation

  • Chencheng Fang & Jiantong Zhang & Wei Qiu, 2017. "Online classified advertising: a review and bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1481-1511, December.
    • Handle: RePEc:spr:scient:v:113:y:2017:i:3:d:10.1007_s11192-017-2524-6
    DOI: 10.1007/s11192-017-2524-6
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    Cited by:

    1. Igor Barahona & Daría Micaela Hernández & Héctor Hugo Pérez-Villarreal & María Pilar Martínez-Ruíz, 2018. "Identifying research topics in marketing science along the past decade: a content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 293-312, October.
    2. Rasul, Tareq & Lim, Weng Marc & Dowling, Michael & Kumar, Satish & Rather, Raouf Ahmad, 2022. "Advertising expenditure and stock performance: A bibliometric analysis," Finance Research Letters, Elsevier, vol. 50(C).
    3. Wenting Yang & Jiantong Zhang & Ruolin Ma, 2020. "The Prediction of Infectious Diseases: A Bibliometric Analysis," IJERPH, MDPI, vol. 17(17), pages 1-19, August.
    4. Lim, Weng Marc & Rasul, Tareq & Kumar, Satish & Ala, Mamun, 2022. "Past, present, and future of customer engagement," Journal of Business Research, Elsevier, vol. 140(C), pages 439-458.

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    More about this item

    Keywords

    Online classified advertising; Literature review; Bibliometrics; Network analysis;
    All these keywords.

    JEL classification:

    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising

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