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Aggregating Incomplete Lists of Journal Rankings: An Application to Academic Accounting Journals

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  • WADE D. COOK
  • TAL RAVIV
  • ALAN J. RICHARDSON

Abstract

We introduce a branch‐and‐cut algorithm to aggregate published journal rankings based on subsets of the accounting literature in order to create a consensus ranking. The aggregate ranking allows specialist and regional journals, which may only be ranked in a limited number of studies, to be placed with respect to each other and with respect to the generalist journals that are usually included in ranking studies. The approach we develop is a significant advance over ad hoc approaches to aggregating journal rankings that have appeared in the literature and may provide a theoretically sound and replicable basis for further exploration of the concept of journal quality and the stability of journal rankings over time and ranking methods. Compilation de listes incomplètes de revues: une application aux revues comptables spécialisées Résumé Les auteurs ont recours à un algorithme de séparation et coupes pour agréger les classements de revues, à partir de sous‐ensembles de publications comptables, en vue de créer une classification consensuelle. La classification agrégée permet d’ordonner les revues spécialisées et régionales, qui ne sont classées que dans un nombre limité d’études, les unes par rapport aux autres ainsi que par rapport aux revues non spécialisées qui figurent habituellement dans les études de classification. La méthode élaborée par les auteurs est sensiblement supérieure aux méthodes ponctuelles de compilation des classements de revues proposées dans la documentation et peut servir debase théorique solide et renouvelable pour une exploration plus approfondie des notions de qualité des revues et de stabilité des classements dans le temps et selon les méthodes de classification.

Suggested Citation

  • Wade D. Cook & Tal Raviv & Alan J. Richardson, 2010. "Aggregating Incomplete Lists of Journal Rankings: An Application to Academic Accounting Journals," Accounting Perspectives, John Wiley & Sons, vol. 9(3), pages 217-235, September.
    • Handle: RePEc:wly:accper:v:9:y:2010:i:3:p:217-235
    DOI: 10.1111/j.1911-3838.2010.00011.x
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    1. Francisco Salas-Molina & Filippo Bistaffa & Juan A. Rodriguez-Aguilar, 2024. "A General Approach for Computing a Consensus in Group Decision Making That Integrates Multiple Ethical Principles," Papers 2401.07818, arXiv.org, revised Mar 2024.
    2. George Emm Halkos & Nickolaos G. Tzeremes, 2011. "Measuring economic journals’ citation efficiency: a data envelopment analysis approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 979-1001, September.
    3. Christine Wiedman, 2020. "Rewarding Collaborative Research: Role Congruity Bias and the Gender Pay Gap in Academe," Journal of Business Ethics, Springer, vol. 167(4), pages 793-807, December.
    4. Tüselmann, Heinz & Sinkovics, Rudolf R. & Pishchulov, Grigory, 2016. "Revisiting the standing of international business journals in the competitive landscape," Journal of World Business, Elsevier, vol. 51(4), pages 487-498.
    5. S. Douglas Beets & Andrea S. Kelton & Bruce R. Lewis, 2015. "An assessment of accounting journal quality based on departmental lists," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 315-332, January.
    6. Christoph Pelger & Markus Grottke, 2017. "Research diversity in accounting doctoral education: survey results from the German-speaking countries," Business Research, Springer;German Academic Association for Business Research, vol. 10(2), pages 307-336, October.
    7. Salas-Molina, Francisco & Bistaffa, Filippo & Rodríguez-Aguilar, Juan A., 2023. "A general approach for computing a consensus in group decision making that integrates multiple ethical principles," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    8. Rosenthal, Edward C. & Weiss, Howard J., 2017. "A data envelopment analysis approach for ranking journals," Omega, Elsevier, vol. 70(C), pages 135-147.
    9. Akbari, Sina & Escobedo, Adolfo R., 2023. "Beyond kemeny rank aggregation: A parameterizable-penalty framework for robust ranking aggregation with ties," Omega, Elsevier, vol. 119(C).
    10. Laura Vana & Ronald Hochreiter & Kurt Hornik, 2016. "Computing a journal meta-ranking using paired comparisons and adaptive lasso estimators," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 229-251, January.
    11. Merridee l. Bujaki & Bruce J. Mcconomy, 2017. "Productivity in Top‐10 Academic Accounting Journals by Researchers at Canadian Universities at the Start of the 21st Century," Accounting Perspectives, John Wiley & Sons, vol. 16(4), pages 269-313, December.
    12. Yeawon Yoo & Adolfo R. Escobedo, 2021. "A New Binary Programming Formulation and Social Choice Property for Kemeny Rank Aggregation," Decision Analysis, INFORMS, vol. 18(4), pages 296-320, December.
    13. Wohlrabe, Klaus & Friedrich, Elisabeth, 2016. "Ordinal ranking aggregation in bibliometric analysis," MPRA Paper 69144, University Library of Munich, Germany.
    14. 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.
    15. Subochev, Andrey & Aleskerov, Fuad & Pislyakov, Vladimir, 2018. "Ranking journals using social choice theory methods: A novel approach in bibliometrics," Journal of Informetrics, Elsevier, vol. 12(2), pages 416-429.
    16. Tüselmann, Heinz & Sinkovics, Rudolf R. & Pishchulov, Grigory, 2015. "Towards a consolidation of worldwide journal rankings – A classification using random forests and aggregate rating via data envelopment analysis," Omega, Elsevier, vol. 51(C), pages 11-23.

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