IDEAS home Printed from https://ideas.repec.org/a/pal/jintbs/v38y2007i5p746-763.html
   My bibliography  Save this article

The Behavioural Homogeneity Evaluation Framework: multi-level evaluations of consumer involvement in international segmentation

Author

Listed:
  • Amanda J Broderick

    (Aston Business School, Aston University, Birmingham, UK)

  • Gordon E Greenley

    (Aston Business School, Aston University, Birmingham, UK)

  • Rene Dentiste Mueller

    (University and College of Charleston, Charleston, South Carolina, USA)

Abstract

This paper presents a generic strategic framework of alternative international marketing strategies and market segmentation based on intra- and inter-cultural behavioural homogeneity. Consumer involvement (CI) is proposed as a pivotal construct to capture behavioural homogeneity, for the identification of market segments. Results from a five-country study demonstrate how the strategic framework can be valuable in managerial decision-making. First, there is evidence for the cultural invariance of the measurement of CI, allowing a true comparison of inter- and intra-cultural behavioural homogeneity. Second, CI influences purchase behaviour, and its evaluation provides a rich source of information for responsive market segmentation. Finally, a decomposition of behavioural variance suggests that national-cultural environment and nationally transcendent variables explain differences in behaviour. The Behavioural Homogeneity Evaluation Framework therefore suggests appropriate international marketing strategies, providing practical guidance for implementing involvement-contingent strategies. Journal of International Business Studies (2007) 38, 746–763. doi:10.1057/palgrave.jibs.8400296

Suggested Citation

  • Amanda J Broderick & Gordon E Greenley & Rene Dentiste Mueller, 2007. "The Behavioural Homogeneity Evaluation Framework: multi-level evaluations of consumer involvement in international segmentation," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 38(5), pages 746-763, September.
  • Handle: RePEc:pal:jintbs:v:38:y:2007:i:5:p:746-763
    as

    Download full text from publisher

    File URL: http://www.palgrave-journals.com/jibs/journal/v38/n5/pdf/8400296a.pdf
    File Function: Link to full text PDF
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: http://www.palgrave-journals.com/jibs/journal/v38/n5/full/8400296a.html
    File Function: Link to full text HTML
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zolfagharian, Mohammadali & Ulusoy, Ebru, 2017. "Inter-Generational Pendula (IGP): Toward a theory of immigrant identity, materialism and religiosity," International Journal of Research in Marketing, Elsevier, vol. 34(3), pages 678-693.
    2. Beugelsdijk, Sjoerd & Slangen, Arjen & Maseland, Robbert & Onrust, Marjolijn, 2014. "The impact of home–host cultural distance on foreign affiliate sales: The moderating role of cultural variation within host countries," Journal of Business Research, Elsevier, vol. 67(8), pages 1638-1646.
    3. Messner, Wolfgang, 2022. "Cultural Heterozygosity: Towards a New Measure of Within-Country Cultural Diversity," Journal of World Business, Elsevier, vol. 57(4).
    4. Tatiana Kostova & Sjoerd Beugelsdijk, 2021. "Integrating Diversity into Distance Research for Added Rigor, Parsimony, and Relevance," Journal of Management Studies, Wiley Blackwell, vol. 58(6), pages 1669-1689, September.
    5. Messner, Wolfgang, 2022. "Advancing our understanding of cultural heterogeneity with unsupervised machine learning," Journal of International Management, Elsevier, vol. 28(2).
    6. Siqueira, Ana Cristina O. & Priem, Richard L. & Parente, Ronaldo C., 2015. "Demand-side Perspectives in International Business: Themes and Future Directions," Journal of International Management, Elsevier, vol. 21(4), pages 261-266.
    7. Messner, Wolfgang, 2024. "Exploring multilevel data with deep learning and XAI: The effect of personal-care advertising spending on subjective happiness," International Business Review, Elsevier, vol. 33(1).
    8. Pookulangara, Sanjukta & Koesler, Kristian, 2011. "Cultural influence on consumers' usage of social networks and its' impact on online purchase intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 18(4), pages 348-354.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:jintbs:v:38:y:2007:i:5:p:746-763. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.