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Developing an overall ranking of 79 marketing journals: An introduction of PRINQUAL to marketing

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  • Yoo, Boonghee

Abstract

The PRINQUAL (PRINcipal components of QUALitative data) procedure transforms original variables linearly or nonlinearly and optimizes the properties of the transformed variables’ covariance or correlation matrix. During the transformation procedure, PRINQUAL also imputes missing values measured at all levels of measurement. Although the application of PRINQUAL is endless in marketing, it is virtually unknown to marketing researchers. This study introduces PRINQUAL to marketing by demonstrating its capability, which produces a composite ranking of marketing journals across a variety of studies that used different ways of rankings and ranked a different set of journals. The application PRINQUAL integrates 13 studies and produces overall rankings of 79 marketing journals.

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  • Yoo, Boonghee, 2009. "Developing an overall ranking of 79 marketing journals: An introduction of PRINQUAL to marketing," Australasian marketing journal, Elsevier, vol. 17(3), pages 160-174.
    • Handle: RePEc:eee:aumajo:v:17:y:2009:i:3:p:160-174
    DOI: 10.1016/j.ausmj.2009.05.014
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    Cited by:

    1. Jiang, Ling (Alice) & Zhu, Nibing & Yang, Zhilin & Xu, Shen & Jun, Minjoon, 2018. "The relationships between distance factors and international collaborative research outcomes: A bibliometric examination," Journal of Informetrics, Elsevier, vol. 12(3), pages 618-630.
    2. Kleinaltenkamp, Michael, 2010. "Is marketing academia losing its way? – A commentary from a German perspective," Australasian marketing journal, Elsevier, vol. 18(3), pages 171-173.
    3. Yongchao Ma & Ying Teng & Zhongzhun Deng & Li Liu & Yi Zhang, 2023. "Does writing style affect gender differences in the research performance of articles?: An empirical study of BERT-based textual sentiment analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2105-2143, April.

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