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What's familiar is excellent: The impact of exposure effect on perceived journal quality

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  • Serenko, Alexander
  • Bontis, Nick

Abstract

The purpose of this study is to test the existence of the exposure effect in journal ranking decisions. The exposure effect emerges when participants of journal ranking surveys assign higher scores to some journals merely because they are more familiar with them rather than on their objective assessment of the overall journal's contribution to the field. Analysis of the journal ranking data from a survey of 233 active researchers in the field of knowledge management and intellectual capital confirmed the existence of the exposure effect. Specifically, it was found that: (1) those who previously published in a particular journal rated it higher than those who did not; (2) those who previously served as a reviewer or editor for a particular journal also rated it higher than those who did not; and (3) a very strong correlation was found between the respondents’ perceptions of overall contribution of a journal and the degree of their familiarity with this outlet. This investigation confirmed a major limitation of the stated preference journal ranking approach that should be taken into consideration in future research and results interpretation.

Suggested Citation

  • Serenko, Alexander & Bontis, Nick, 2011. "What's familiar is excellent: The impact of exposure effect on perceived journal quality," Journal of Informetrics, Elsevier, vol. 5(1), pages 219-223.
    • Handle: RePEc:eee:infome:v:5:y:2011:i:1:p:219-223
    DOI: 10.1016/j.joi.2010.07.005
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    1. Alireza Tourani‐Rad & Stephen Kirkby, 2005. "Investigation of investors' overconfidence, familiarity and socialization," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 45(2), pages 283-300, July.
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    3. Huberman, Gur, 2001. "Familiarity Breeds Investment," The Review of Financial Studies, Society for Financial Studies, vol. 14(3), pages 659-680.
    4. Serenko, Alexander, 2010. "The development of an AI journal ranking based on the revealed preference approach," Journal of Informetrics, Elsevier, vol. 4(4), pages 447-459.
    5. Moussa, Salim & Touzani, Mourad, 2010. "Ranking marketing journals using the Google Scholar-based hg-index," Journal of Informetrics, Elsevier, vol. 4(1), pages 107-117.
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    Cited by:

    1. Denter, Philipp, 2020. "Campaign contests," European Economic Review, Elsevier, vol. 127(C).
    2. William H. Walters & Susanne Markgren, 2019. "Do faculty journal selections correspond to objective indicators of citation impact? Results for 20 academic departments at Manhattan College," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 321-337, January.
    3. Serenko, Alexander & Dohan, Michael, 2011. "Comparing the expert survey and citation impact journal ranking methods: Example from the field of Artificial Intelligence," Journal of Informetrics, Elsevier, vol. 5(4), pages 629-648.
    4. Kaile Gong, 2023. "The influence of discipline consistency between papers and published journals on citations: an analysis of Chinese papers in three social science disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3129-3146, May.
    5. repec:cup:judgdm:v:7:y:2012:i:5:p:639-643 is not listed on IDEAS
    6. Ryazanova, Olga & McNamara, Peter & Aguinis, Herman, 2017. "Research performance as a quality signal in international labor markets: Visibility of business schools worldwide through a global research performance system," Journal of World Business, Elsevier, vol. 52(6), pages 831-841.
    7. Lior Rokach, 2012. "Applying the Publication Power Approach to Artificial Intelligence Journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(6), pages 1270-1277, June.
    8. Yuyan Jiang & Xueli Liu, 2023. "A construction and empirical research of the journal disruption index based on open citation data," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 3935-3958, July.
    9. Serenko, Alexander & Bontis, Nick, 2013. "First in, best dressed: The presence of order-effect bias in journal ranking surveys," Journal of Informetrics, Elsevier, vol. 7(1), pages 138-144.
    10. A. Abrizah & A. Noorhidawati & A. N. Zainab, 2015. "LIS journals categorization in the Journal Citation Report: a stated preference study," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1083-1099, February.
    11. Walters, William H., 2017. "Do subjective journal ratings represent whole journals or typical articles? Unweighted or weighted citation impact?," Journal of Informetrics, Elsevier, vol. 11(3), pages 730-744.
    12. Diarmuid B. Verrier, 2012. "Evidence for the influence of the mere-exposure effect on voting in the Eurovision Song Contest," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 7(5), pages 639-643, September.
    13. Denter, Philipp, 2013. "A theory of communication in political campaigns," Economics Working Paper Series 1302, University of St. Gallen, School of Economics and Political Science.

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