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Journal of Revenue and Pricing Management

, Volume 16, Issue 5, pp 466–482 | Cite as

Journal segmentation and competitive position based on revenue management research publications

  • Miguel Ángel Domingo-Carrillo
  • Esther Chávez-Miranda
  • María Dolores Cubiles-de la Vega
Research Article

Abstract

This work is focused on studying the editorial profile of journals which have published articles on Revenue Management in Tourism. To do so, these were put into groups according to how they addressed three dimensions: the research methodology used (R), their topic (T), and the strategy of Revenue Management dealt with (S). Applying cluster analysis, 67 top journals were grouped together after considering a total of 293 references published in a 25-year period (1989–2013). The results show comparatively the great variety of journals and profiles that have disseminated works on Revenue Management in Tourism. The following has been identified (1) journals with singular behaviors which broadly respond to the variety of methodologies, topics, and strategies of Revenue Management, (2) groups of journals which are centered on specific aspects, and (3) others which still deal marginally with the discipline. It is especially useful for researchers, enabling them to, based on critical aims, define a publication strategy, and for editors, offering them the possibility of ascertaining the relative position of their journal with respect to others.

Keywords

revenue management research tourism, journal segmentation journal categorization journal profile journal competitive position 

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Copyright information

© Macmillan Publishers Ltd 2017

Authors and Affiliations

  • Miguel Ángel Domingo-Carrillo
    • 1
  • Esther Chávez-Miranda
    • 2
  • María Dolores Cubiles-de la Vega
    • 3
  1. 1.Faculty of Tourism and Finance, Department of Financial Economics and Operations ManagementUniversity of SevillaSevilleSpain
  2. 2.Revenue Management, Department of Financial Economics and Operations Management, Faculty of Tourism and FinanceUniversity of SevillaSevilleSpain
  3. 3.Department of Statistics and Operations Research, Faculty of MathematicsUniversity of SevillaSevilleSpain

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