University of Hertfordshire

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Assessing Supermarket Food Shopper Reaction to Horsemeat Scandal in the UK

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  • Fred Yamoah
  • David Yawon
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Original languageEnglish
Pages (from-to)98-107
Number of pages10
JournalInternational Review of Management and Marketing
Volume4
Issue2
Publication statusPublished - 2014

Abstract

Consumer reaction to food scares has been given considerable research attention but insights into specific shopper segments’ reactions to food scares, especially those that do not pose direct health risk to the public is limited. This paper examines how different life-stage shopper segments reacted to the horsemeat scandal in the UK. This paper draws on the analysis of supermarket loyalty card dataset of 1.7 million beef burger shoppers to establish the effect of the horsemeat scandal on retail sales value and volume as well as the rate of withdrawal of life-stage shopper segments from the affected products. The results show consistent weekly decline in retail sales value and volume
across all life-stage segments over six consecutive weeks after the first horsemeat scandal announcement. Young families, pensioners and young adults segments withdrew from affected products in accordance with their typical perception and attitudes to risk. Contrary to expectation older adults withdrew faster than young families from the affected products. The findings of the study offer useful insights and strategic direction for managers working to ensure that food scares are managed to the benefit of the public and the food industry.

Notes

Fred Yamoah, David E. Yawson, ‘Assessing Supermarket Food Shopper Reaction to Horsemeat Scandal in the UK’, International Review of Management and Marketing, Vol. 4(2): 98-107, 2014. The version of record is available online at: http://www.acarindex.com/dosyalar/makale/acarindex-1423904526.pdf IRMM adopts an Open Access policy complying with the definition laid out by the Budapest Open Access Initiative (BOAI). Terms and conditions of Creative Commons Attribution 4.0 International License apply to all published manuscripts. This Journal is licensed under a Creative Commons Attribution 4.0 International License. This licence allows authors to use all articles, data sets, graphics and appendices in data mining applications, search engines, web sites, blogs and other platforms by providing appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.

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