Master'sOpen Access

Content analysis of food product pages in online stores within the framework of e-consumer information

2025
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Advisor: Doç. Dr. Fehmi Soner Mazlum

Abstract (EN)

This thesis focuses on the analysis of food product pages offered by online supermarkets in terms of consumer information content. Within this scope, the content and visual design of food product information on virtual store pages are evaluated based on how effectively they provide access to essential information for consumers. In the content analysis, the extent to which mandatory information—required to be present on food packaging under the Turkish Food Codex Regulation on Food Labeling and Consumer Information—is included in the digital environment is examined. Additionally, the visual design of these pages is assessed in terms of how clearly, understandably, and accessibly the information is presented to consumers. For the study, five major online markets in Turkey with high sales volumes (A101, Migros Virtual Market, Getir, Şok Market, and Carrefoursa) were selected. Three different food products were analyzed from each of the following categories: meat products (sucuk), dairy products (cheese), and fruits and vegetables (potatoes). The mandatory labeling information found on the physical products was compared with the consumer information provided for the same products on online platforms. Moreover, certain types of information that are not legally required for distance sales channels were evaluated from the perspective of evolving consumer needs. A key question guiding the research is: "Which types of food information are vital for consumers?" In this context, special emphasis is placed on the visibility of allergen information for the selected products in online supermarkets. The study explores methods to enhance the visibility of food allergens and proposes a design solution accordingly. The goal of this design is to make allergen information clearly, accurately, and easily accessible on online grocery pages through both visual and textual elements.The proposed sample design serves as a preventive measure against potential health risks that consumers with food allergies may face due to inadequate allergen information.

Author

Dr. Eda Zabun

How to Cite

Eda Zabun (Master Thesis). Content analysis of food product pages in online stores within the framework of e-consumer information, 2025, Baskent University.

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