Analysis of online food purchasing behavior: a study of Sri Lankan consumers

Piyumi Wijesinghe1,†, Shashika D. Rathnayaka2,†, Niranga Bandara3, Jung Min Heo4,*, Dinesh D. Jayasena1,*

1Department of Animal Science, Uva Wellassa University, Badulla 90000, Sri Lanka
2The Rowett Institute, University of Aberdeen, Aberdeen, Ab25 2zd UK
3Department of Technical Education, National Institute of Education, Maharagama 10280, Sri Lanka
4Department of Animal Science and Biotechnology, Chungnam National University, Daejeon 34134, Korea

†These authors equally contributed to this work as first author.

*Corresponding authors:,


Online shopping has been undergoing significant developments in the South Asian region in the last decade. Using a representative sample of Sri Lankan consumers, this study explored online food purchasing behavior in Sri Lanka, a developing nation and island in South Asia. Data were collected from 562 respondents from all nine provinces in Sri Lanka using an online survey. Consumer attitudes were evaluated using factor analysis, and factor scores were added as explanatory variables to the final model. An ordered logistic regression model was used to examine the impact of consumer demographics, economic variables, and consumer attitudes on online food purchases. Online food purchasing intensity was categorized into four groups that suited ordinal rankings: zero for never, low for rarely, medium for occasionally, and high for regularly. Results indicated that age, income, education, and living in urban areas affect the online food purchasing behavior of Sri Lankan consumers. In addition, trust, convenience, and attitudes toward price were powerful drivers of online food purchasing. The findings have a number of significant managerial ramifications for creating strategies to promote online food purchases in developing South Asian nations like Sri Lanka. Moreover, promoting online shopping could be a potential solution for traffic congestion, ultimately helping to mitigate the negative externalities associated with it, such as carbon emissions and air pollution.


e-commerce, factor analysis, online food shopping, ordered logistic regression

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