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Some aspects of citation behavior: A pilot study in business administration

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  • Chandra G. Prabha

Abstract

This study addressed certain aspects of citation behavior: How many of the sources cited has the author really consulted? How many did the author consult specifically for the preparation of the citing paper? How many of the sources cited does the author consider essential to the development of his own theme? Nineteen members of the faculty from the Department of Business Administration, College of Commerce, University of Illinois, each of whom had published at least one periodical article in the preceding two years, were subjects of the study. Each was given a self‐administered questionnaire, along with the bibliography from one of his articles, and each participated in a follow up interview. Ninety‐six percent of the sources cited had been consulted by the authors, which indicates little evidence of secondhand citation. However, just 63% were consulted specifically in the preparation of the article; and only less than a third were judged essential raw material by those who cited them. If an item is of critical importance, it is likely to be owned by the author. Also, it is likely to have been consulted specifically in the preparation of the article, but criticality is no guarantee that it has been used heavily by the author.

Suggested Citation

  • Chandra G. Prabha, 1983. "Some aspects of citation behavior: A pilot study in business administration," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 34(3), pages 202-206, May.
    • Handle: RePEc:bla:jamest:v:34:y:1983:i:3:p:202-206
    DOI: 10.1002/asi.4630340305
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    Cited by:

    1. Dongqing Lyu & Xuanmin Ruan & Juan Xie & Ying Cheng, 2021. "The classification of citing motivations: a meta-synthesis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3243-3264, April.
    2. Binglu Wang & Yi Bu & Yang Xu, 2018. "A quantitative exploration on reasons for citing articles from the perspective of cited authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 675-687, August.
    3. Renata Avros & Mor Ben Haim & Almog Madar & Elena Ravve & Zeev Volkovich, 2024. "Spotting Suspicious Academic Citations Using Self-Learning Graph Transformers," Mathematics, MDPI, vol. 12(6), pages 1-15, March.
    4. Mee-Jean Kim, 2002. "Citation patterns of Korean physicists and mechanical engineers: Differences by type of publication source and type of authorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(3), pages 421-436, November.
    5. Renata Avros & Saar Keshet & Dvora Toledano Kitai & Evgeny Vexler & Zeev Volkovich, 2023. "Detecting Pseudo-Manipulated Citations in Scientific Literature through Perturbations of the Citation Graph," Mathematics, MDPI, vol. 11(18), pages 1-17, September.
    6. Teresa H. Jones & Claire Donovan & Steve Hanney, 2012. "Tracing the wider impacts of biomedical research: a literature search to develop a novel citation categorisation technique," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 125-134, October.
    7. Sehrish Iqbal & Saeed-Ul Hassan & Naif Radi Aljohani & Salem Alelyani & Raheel Nawaz & Lutz Bornmann, 2021. "A decade of in-text citation analysis based on natural language processing and machine learning techniques: an overview of empirical studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6551-6599, August.

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