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The Impact of Brand on Consumer Preferences of Milk in Online Purchases: Conjoint Analysis Approach

Author

Listed:
  • Šárka Velčovská

    (Department of Marketing and Business, Faculty of Economics, VŠB-Technical University of Ostrava, 17. listopadu 2172/15, 708 00 Ostrava-Poruba, Czech Republic)

  • Fridrik Rafn Larsen

    (Faculty of Business Administration, School of Social Sciences, University of Iceland, Sæmundargata 2, 102 Reykjavík, Iceland)

Abstract

The aim of the paper is to determine preferences of Czech consumers in online shopping of long-life semi-skimmed milk and to identify the importance of milk attributes in their online buying process, with focus on brand. Specifically, the study is focusing on: 1) identification of the importance of a brand in comparison with packaging, price and quality label in online purchases, 2) finding milk with maximum utility for consumers, and 3) revealing the most preferred brand of milk when other attributes stay the same. Data were collected in September 2018 through an online survey, using full-profile conjoint analysis. A total of 185 respondents 18+ living in the Czech Republic, selected by quota sampling method concerning the role of men and women in household food purchases, completed a questionnaire. Research results reveal that brand is the most important extrinsic quality cue affecting milk choice in online purchases, with relative importance 50.3%. The importance of other surveyed attributes is balanced, with 18.6% for packaging, 17.6% for price and 13.5% for quality label. Comparison of consumer preferences for three different brands of milk with otherwise the same attributes revealed the highest preference for brand coming from the region. A familiar brand plays a key role in maintaining a competitive position in the online grocery market.

Suggested Citation

  • Šárka Velčovská & Fridrik Rafn Larsen, 2021. "The Impact of Brand on Consumer Preferences of Milk in Online Purchases: Conjoint Analysis Approach," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 69(3), pages 345-356.
  • Handle: RePEc:mup:actaun:2021.032
    DOI: 10.11118/actaun.2021.032
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    References listed on IDEAS

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    1. Meyerding, Stephan G.H. & Bauchrowitz, Alexander & Lehberger, Mira, 2019. "Consumer preferences for beer attributes in Germany: A conjoint and latent class approach," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 229-240.
    2. Vithala R. Rao, 2014. "Applied Conjoint Analysis," Springer Books, Springer, edition 127, number 978-3-540-87753-0, July.
    3. Tanushri Banerjee & Arindam Banerjee, 2018. "Web Content Analysis of Online Grocery Shopping Web Sites in India," International Journal of Business Analytics (IJBAN), IGI Global, vol. 5(4), pages 61-73, October.
    4. Claudia Symmank, 2019. "Extrinsic and intrinsic food product attributes in consumer and sensory research: literature review and quantification of the findings," Management Review Quarterly, Springer, vol. 69(1), pages 39-74, February.
    5. Lai, John & Morgan, Stephen & Kassas, Bachir & Kropp, Jaclyn & Gao, Zhifeng, 2020. "Spending of Economic Stimulus Payments and Changes in Food Purchasing During the COVID-19 Pandemic," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 35(3), December.
    6. Chu, Junhong & Arce-Urriza, Marta & Cebollada-Calvo, José-Javier & Chintagunta, Pradeep K., 2010. "An Empirical Analysis of Shopping Behavior Across Online and Offline Channels for Grocery Products: The Moderating Effects of Household and Product Characteristics," Journal of Interactive Marketing, Elsevier, vol. 24(4), pages 251-268.
    7. Dominici, Andrea & Boncinelli, Fabio & Gerini, Francesca & Marone, Enrico, 2021. "Determinants of online food purchasing: The impact of socio-demographic and situational factors," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    8. Caswell, Julie A., 1998. "Valuing the benefits and costs of improved food safety and nutrition," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(4), pages 1-16.
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