IDEAS home Printed from https://ideas.repec.org/a/eee/touman/v32y2011i1p16-27.html
   My bibliography  Save this article

Publish and perish? Bibliometric analysis, journal ranking and the assessment of research quality in tourism

Author

Listed:
  • Michael Hall, C.

Abstract

Bibliometric analysis is important in tourism as a result of external evaluation of research quality, interest in impact and prestige factors, and study of the field’s development. Although bibliometric analysis can be applied to any type of publication the main focus is on journals. Five approaches to the evaluation of journal quality are identified: stated preference, citation-based, derived, hybrid, and expert panels. Different productivity, impact and hybrid metrics are used to identify rankings of tourism journals from Scopus/SCImago data, compared with a derived RAE ranking, and three expert panel rankings. The different rankings reinforces that bibliometric understanding of scientific impact is a multi-dimensional construct. However, bibliometric analysis does not occur in an institutional and policy vacuum. The institutional context of government and private organization evaluations of research quality increasingly determine which metrics are applied, with subsequent effects on performance evaluation, career development and future direction of tourism studies.

Suggested Citation

  • Michael Hall, C., 2011. "Publish and perish? Bibliometric analysis, journal ranking and the assessment of research quality in tourism," Tourism Management, Elsevier, vol. 32(1), pages 16-27.
  • Handle: RePEc:eee:touman:v:32:y:2011:i:1:p:16-27
    DOI: 10.1016/j.tourman.2010.07.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0261517710001469
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.tourman.2010.07.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    2. Massimo Franceschet, 2009. "A cluster analysis of scholar and journal bibliometric indicators," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(10), pages 1950-1964, October.
    3. Lokman I. Meho & Kiduk Yang, 2007. "Impact of data sources on citation counts and rankings of LIS faculty: Web of science versus scopus and google scholar," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(13), pages 2105-2125, November.
    4. Pablo D. Batista & Mônica G. Campiteli & Osame Kinouchi, 2006. "Is it possible to compare researchers with different scientific interests?," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(1), pages 179-189, July.
    5. Johan Bollen & Herbert Van de Sompel & Aric Hagberg & Ryan Chute, 2009. "A Principal Component Analysis of 39 Scientific Impact Measures," PLOS ONE, Public Library of Science, vol. 4(6), pages 1-11, June.
    6. Stuart Macdonald & Jacqueline Kam, 2007. "Ring a Ring o’ Roses: Quality Journals and Gamesmanship in Management Studies," Journal of Management Studies, Wiley Blackwell, vol. 44(4), pages 640-655, June.
    7. Franceschet, Massimo, 2010. "The difference between popularity and prestige in the sciences and in the social sciences: A bibliometric analysis," Journal of Informetrics, Elsevier, vol. 4(1), pages 55-63.
    8. Diana Hicks, 1999. "The difficulty of achieving full coverage of international social science literature and the bibliometric consequences," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(2), pages 193-215, February.
    9. Loet Leydesdorff, 2009. "How are new citation‐based journal indicators adding to the bibliometric toolbox?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(7), pages 1327-1336, July.
    10. Macdonald, Stuart & Kam, Jacqueline, 2009. "Publishing in top journals--A never-ending fad?," Scandinavian Journal of Management, Elsevier, vol. 25(2), pages 221-224, June.
    11. Woodside, Arch G., 2009. "Journal and author impact metrics: An editorial," Journal of Business Research, Elsevier, vol. 62(1), pages 1-4, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    2. 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.
    3. Hall, C. Michael & Page, Stephen J., 2015. "Following the impact factor: Utilitarianism or academic compliance?," Tourism Management, Elsevier, vol. 51(C), pages 309-312.
    4. Franceschini, Fiorenzo & Maisano, Domenico, 2010. "The Hirsch spectrum: A novel tool for analyzing scientific journals," Journal of Informetrics, Elsevier, vol. 4(1), pages 64-73.
    5. Franceschet, Massimo, 2010. "Journal influence factors," Journal of Informetrics, Elsevier, vol. 4(3), pages 239-248.
    6. Lutz Bornmann & Alexander Butz & Klaus Wohlrabe, 2018. "What are the top five journals in economics? A new meta-ranking," Applied Economics, Taylor & Francis Journals, vol. 50(6), pages 659-675, February.
    7. Kaur, Jasleen & Radicchi, Filippo & Menczer, Filippo, 2013. "Universality of scholarly impact metrics," Journal of Informetrics, Elsevier, vol. 7(4), pages 924-932.
    8. Parul Khurana & Kiran Sharma, 2022. "Impact of h-index on author’s rankings: an improvement to the h-index for lower-ranked authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4483-4498, August.
    9. Fiorenzo Franceschini & Domenico Maisano, 2011. "Bibliometric positioning of scientific manufacturing journals: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 463-485, February.
    10. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    11. Bornmann, Lutz & Mutz, Rüdiger & Hug, Sven E. & Daniel, Hans-Dieter, 2011. "A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants," Journal of Informetrics, Elsevier, vol. 5(3), pages 346-359.
    12. J Mingers, 2009. "Measuring the research contribution of management academics using the Hirsch-index," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(9), pages 1143-1153, September.
    13. Massimo Franceschet, 2010. "A comparison of bibliometric indicators for computer science scholars and journals on Web of Science and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 243-258, April.
    14. Fiorenzo Franceschini & Domenico Maisano & Anna Perotti & Andrea Proto, 2010. "Analysis of the ch-index: an indicator to evaluate the diffusion of scientific research output by citers," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 203-217, October.
    15. Gaby Haddow & Paul Genoni, 2010. "Citation analysis and peer ranking of Australian social science journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 471-487, November.
    16. Zhang, Lin & Thijs, Bart & Glänzel, Wolfgang, 2011. "The diffusion of H-related literature," Journal of Informetrics, Elsevier, vol. 5(4), pages 583-593.
    17. Liwei Cai & Jiahao Tian & Jiaying Liu & Xiaomei Bai & Ivan Lee & Xiangjie Kong & Feng Xia, 2019. "Scholarly impact assessment: a survey of citation weighting solutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 453-478, February.
    18. Franceschini, Fiorenzo & Maisano, Domenico A., 2010. "Analysis of the Hirsch index's operational properties," European Journal of Operational Research, Elsevier, vol. 203(2), pages 494-504, June.
    19. Judit Bar-Ilan, 2008. "The h-index of h-index and of other informetric topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 591-605, June.
    20. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:touman:v:32:y:2011:i:1:p:16-27. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/tourism-management .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.