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Understanding the older shopper: A behavioural typology

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  • Angell, Robert
  • Megicks, Phil
  • Memery, Juliet
  • Heffernan, Troy
  • Howell, Kerry

Abstract

With regard to the contemporary retail environment, to date, the older shopper has been afforded limited academic attention, which is somewhat surprising given the growth of this population in the UK. Consequently, this study presents an empirically derived typology of older grocery shoppers through the application of salient retail attributes and store image dimensions developed through extensive qualitative research techniques. The findings provide an important contribution towards better understanding differences in shopping behaviour amongst older consumers. The identification of six distinct shopper types, including three new distinct groups, contributes to theory, whilst a number of potential implications for retail managers are explored in light of the findings.

Suggested Citation

  • Angell, Robert & Megicks, Phil & Memery, Juliet & Heffernan, Troy & Howell, Kerry, 2012. "Understanding the older shopper: A behavioural typology," Journal of Retailing and Consumer Services, Elsevier, vol. 19(2), pages 259-269.
    • Handle: RePEc:eee:joreco:v:19:y:2012:i:2:p:259-269
    DOI: 10.1016/j.jretconser.2012.01.007
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    References listed on IDEAS

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    1. Babin, Barry J & Darden, William R & Griffin, Mitch, 1994. "Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(4), pages 644-656, March.
    2. Turley, L. W. & Milliman, Ronald E., 2000. "Atmospheric Effects on Shopping Behavior: A Review of the Experimental Evidence," Journal of Business Research, Elsevier, vol. 49(2), pages 193-211, August.
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    Cited by:

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    2. Woohyoung Kim & Alan Hallsworth & Hyun Kim, 2018. "Examining the Effectiveness of Government Policy for Retail Districts: Evidence from Korea," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
    3. Santosh Kumar Biswal & Sreekumar & Arun Kumar Panda, 2016. "Evaluating retail store image - an empirical study in India," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 9(1), pages 68-91.
    4. Cervellon, Marie-Cécile & Sylvie, Jean & Ngobo, Paul-Valentin, 2015. "Shopping orientations as antecedents to channel choice in the French grocery multichannel landscape," Journal of Retailing and Consumer Services, Elsevier, vol. 27(C), pages 31-51.
    5. Rituparna Basu, 2015. "Are They Really Different? A Study on Apparel Shoppers’ Retail Format Perception in USA and India," Global Business Review, International Management Institute, vol. 16(1), pages 123-136, February.
    6. Kamila Migdał-Najman & Krzysztof Najman & Sylwia Badowska, 2020. "The GNG neural network in analyzing consumer behaviour patterns: empirical research on a purchasing behaviour processes realized by the elderly consumers," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(4), pages 947-982, December.

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