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Preference-neutral attribute weights in the journal-ranking problem

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  • I Horowitz

    (University of Florida)

Abstract

A linear programming model is proposed for assigning linear attribute weights in the journal-ranking problem. The constraints in the model are derived solely from any quasi-dominance relations that can be established between the journals. The objective function of the model minimizes the maximum difference between the implied valuations for the pair of journals that define a constraint. In the sense that personal inputs are not introduced, the derived weights are preference neutral. The feasibility of the procedure is demonstrated for two sets of data. By considering various random samples of journals from the larger data set, it is shown that large differences can emerge in the attribute weights and in the journal rankings from different samples of journals, even when the sample sizes are large relative to the population size.

Suggested Citation

  • I Horowitz, 2003. "Preference-neutral attribute weights in the journal-ranking problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(5), pages 452-457, May.
    • Handle: RePEc:pal:jorsoc:v:54:y:2003:i:5:d:10.1057_palgrave.jors.2601531
    DOI: 10.1057/palgrave.jors.2601531
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Domingo Docampo & Vicente Safón, 2021. "Journal ratings: a paper affiliation methodology," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 8063-8090, September.
    3. Bruce A. Reinig & Ira Horowitz, 2018. "Using Mathematical Programming to Select and Seed Teams for the NCAA Tournament," Interfaces, INFORMS, vol. 48(3), pages 181-188, June.
    4. Ira Horowitz, 2004. "Aggregating Expert Ratings Using Preference-Neutral Weights: The Case of the College Football Polls," Interfaces, INFORMS, vol. 34(4), pages 314-320, August.

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