Food choice in the e-commerce era

Author:

Wang OuORCID,Somogyi SimonORCID,Charlebois Sylvain

Abstract

PurposeThis study associated consumers' food choice motives and socio-demographic characteristics with their attitudes and consumptions towards food shopping with four e-commerce modes: business-to-consumer (B2C), online-to-offline delivery (O2O Delivery), online-to-offline in-store (O2O In-store) and New Retail. It also explored consumer preferences for specific food categories within the four e-commerce modes.Design/methodology/approachAn online survey was administered to 954 participants from three Chinese cities: Beijing, Shanghai and Shenzhen. Descriptive analysis and linear regression were used in the data analysis.FindingsThe following food choice motives (FCMs) and socio-demographic characteristics had a significant effect on food e-commerce attitudes and/or consumption, with some or all of the four e-commerce modes: Taste Appeal, Value for Money, Safety Concerns, Quality Concerns, Processed Convenience, Purchase Convenience, Others' Reviews, City, Gender, Household Size, Age, Income, Occupation and Marital Status. Consumers also have different consumption preferences for food categories in the four e-commerce modes.Originality/valueThis is the first study to associate consumer FCMs and socio-demographics with their e-commerce attitudes and consumption regarding food in four e-commerce modes: B2C, O2O Delivery, O2O In-store and New Retail.

Publisher

Emerald

Subject

Food Science,Business, Management and Accounting (miscellaneous)

Reference75 articles.

1. Agriculture and Agri-Food Canada (2017), “E-grocery market in China”, available at: http://www.agr.gc.ca/eng/industry-markets-and-trade/international-agri-food-market-intelligence/asia/market-intelligence/e-grocery-market-in-china/?id=1504037238257 (accessed 18 July 2018).

2. Mobile food ordering apps: an empirical study of the factors affecting customer e-satisfaction and continued intention to reuse;International Journal of Information Management,2020

3. Categorical variables in regression analysis: a comparison of dummy and effect coding;International Journal of Education,2012

4. Amir, H. and Rizvi, W. (2017), “Influence of perceived risk and familiarity on willingness to transact in online food shopping in developing economies: an (extended) Abstract”, Creating Marketing Magic and Innovative Future Marketing Trends, Springer, Cham, pp. 891-895.

5. How do shoppers behave online? An observational study of online grocery shopping;Journal of Consumer Behaviour,2016

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