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Towards a consolidation of worldwide journal rankings – A classification using random forests and aggregate rating via data envelopment analysis

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  • Tüselmann, Heinz
  • Sinkovics, Rudolf R.
  • Pishchulov, Grigory

Abstract

The question of how to assess research outputs published in journals is now a global concern for academics. Numerous journal ratings and rankings exist, some featuring perceptual and peer-review-based journal ranks, some focusing on objective information related to citations, some using a combination of the two. This research consolidates existing journal rankings into an up-to-date and comprehensive list. Existing approaches to determining journal rankings are significantly advanced with the application of a new classification approach, ‘random forests’, and data envelopment analysis. As a result, a fresh look at a publication׳s place in the global research community is offered. While our approach is applicable to all management and business journals, we specifically exemplify the relative position of ‘operations research, management science, production and operations management’ journals within the broader management field, as well as within their own subject domain.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jomega:v:51:y:2015:i:c:p:11-23
    DOI: 10.1016/j.omega.2014.08.002
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    as
    1. Sönke Albers, 2009. "Misleading Rankings of Research in Business," German Economic Review, Verein für Socialpolitik, vol. 10(3), pages 352-363, August.
    2. Chiang Kao & Hsiou-Wei Lin & San-Lin Chung & Wei-Chi Tsai & Jyh-Shen Chiou & Yen-Liang Chen & Liang-Hsuan Chen & Shih-Chieh Fang & Hwei-Lan Pao, 2008. "Ranking Taiwanese management journals: A case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(1), pages 95-115, July.
    3. Jones, M. J. & Brinn, T. & Pendlebury, M., 1996. "Journal evaluation methodologies: A balanced response," Omega, Elsevier, vol. 24(5), pages 607-612, October.
    4. Lovell, C. A. Knox & Pastor, Jesus T., 1999. "Radial DEA models without inputs or without outputs," European Journal of Operational Research, Elsevier, vol. 118(1), pages 46-51, October.
    5. Günther G. Schulze & Susanne Warning & Christian Wiermann, 2008. "Zeitschriftenrankings für die Wirtschaftswissenschaften – Konstruktion eines umfassenden Metaindexes," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 9(3), pages 286-305, August.
    6. Bruno S. Frey & Katja Rost, 2010. "Do rankings reflect research quality?," Journal of Applied Economics, Universidad del CEMA, vol. 13, pages 1-38, May.
    7. Bancroft, Diccon R. E. & Gopinath, C. & Kovacs, Agnes M. & Rejto, Lidia K., 1999. "A new methodology for aggregating tables: Summarizing journal quality data," Journal of Business Venturing, Elsevier, vol. 14(3), pages 311-319, May.
    8. Timothy Clark & Mike Wright, 2007. "Reviewing Journal Rankings and Revisiting Peer Reviews: Editorial Perspectives," Journal of Management Studies, Wiley Blackwell, vol. 44(4), pages 612-621, June.
    9. Wolfgang Glänzel & Henk F. Moed, 2002. "Journal impact measures in bibliometric research," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(2), pages 171-193, February.
    10. Cook, Wade D. & Doyle, John & Green, Rodney & Kress, Moshe, 1997. "Multiple criteria modelling and ordinal data: Evaluation in terms of subsets of criteria," European Journal of Operational Research, Elsevier, vol. 98(3), pages 602-609, May.
    11. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "A survey of DEA applications," Omega, Elsevier, vol. 41(5), pages 893-902.
    12. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    13. K S Park & I Jeong, 2011. "How to treat strict preference information in multicriteria decision analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(10), pages 1771-1783, October.
    14. 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.
    15. Theuβl, Stefan & Reutterer, Thomas & Hornik, Kurt, 2014. "How to derive consensus among various marketing journal rankings?," Journal of Business Research, Elsevier, vol. 67(5), pages 998-1006.
    16. Diskin, Abraham & Felsenthal, Dan S., 2007. "Individual rationality and bargaining," LSE Research Online Documents on Economics 24233, London School of Economics and Political Science, LSE Library.
    17. 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.
    18. Joe Zhu, 2014. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 1, pages 1-9, Springer.
    19. Llamazares, Bonifacio & Pea, Teresa, 2009. "Preference aggregation and DEA: An analysis of the methods proposed to discriminate efficient candidates," European Journal of Operational Research, Elsevier, vol. 197(2), pages 714-721, September.
    20. Hapfelmeier, A. & Hothorn, T. & Ulm, K., 2012. "Recursive partitioning on incomplete data using surrogate decisions and multiple imputation," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1552-1565.
    21. Cook, Wade D. & Tone, Kaoru & Zhu, Joe, 2014. "Data envelopment analysis: Prior to choosing a model," Omega, Elsevier, vol. 44(C), pages 1-4.
    22. 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.
    23. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "Data envelopment analysis 1978–2010: A citation-based literature survey," Omega, Elsevier, vol. 41(1), pages 3-15.
    24. K S Park & I Jeong, 2011. "How to treat strict preference information in multicriteria decision analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(10), pages 1771-1783, October.
    25. Stefano Benati & Silvana Stefani, 2011. "The Academic Journal Ranking Problem: A Fuzzy-Clustering Approach," Journal of Classification, Springer;The Classification Society, vol. 28(1), pages 7-20, April.
    26. A C B Tse, 2001. "Using mathematical programming to solve large ranking problems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(10), pages 1144-1150, October.
    27. Christopher Paul & William Mason & Daniel McCaffrey & Sarah Fox, 2008. "A cautionary case study of approaches to the treatment of missing data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 17(3), pages 351-372, July.
    28. Liu, W.B. & Zhang, D.Q. & Meng, W. & Li, X.X. & Xu, F., 2011. "A study of DEA models without explicit inputs," Omega, Elsevier, vol. 39(5), pages 472-480, October.
    29. Wang, Ying-Ming & Chin, Kwai-Sang, 2010. "Some alternative models for DEA cross-efficiency evaluation," International Journal of Production Economics, Elsevier, vol. 128(1), pages 332-338, November.
    30. Meredith, Jack R. & Steward, Michelle D. & Lewis, Bruce R., 2011. "Knowledge dissemination in operations management: Published perceptions versus academic reality," Omega, Elsevier, vol. 39(4), pages 435-446, August.
    31. Sönke Albers, 2009. "Misleading Rankings of Research in Business," German Economic Review, Verein für Socialpolitik, vol. 10(3), pages 352-363, August.
    32. Foroughi, A.A. & Tamiz, M., 2005. "An effective total ranking model for a ranked voting system," Omega, Elsevier, vol. 33(6), pages 491-496, December.
    33. Green, Rodney H. & Doyle, John R. & Cook, Wade D., 1996. "Preference voting and project ranking using DEA and cross-evaluation," European Journal of Operational Research, Elsevier, vol. 90(3), pages 461-472, May.
    34. Frank L DuBois & David Reeb, 2000. "Ranking the International Business Journals," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 31(4), pages 689-704, December.
    35. Abraham Diskin & Dan Felsenthal, 2007. "Individual rationality and bargaining," Public Choice, Springer, vol. 133(1), pages 25-29, October.
    36. Moed, Henk F., 2010. "Measuring contextual citation impact of scientific journals," Journal of Informetrics, Elsevier, vol. 4(3), pages 265-277.
    37. Loet Leydesdorff, 2008. "Caveats for the use of citation indicators in research and journal evaluations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(2), pages 278-287, January.
    38. Hashimoto, Akihiro, 1997. "A ranked voting system using a DEA/AR exclusion model: A note," European Journal of Operational Research, Elsevier, vol. 97(3), pages 600-604, March.
    39. Garry D. Bruton & Chung‐Ming Lau, 2008. "Asian Management Research: Status Today and Future Outlook," Journal of Management Studies, Wiley Blackwell, vol. 45(3), pages 636-659, May.
    40. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, September.
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