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논문 기본 정보

저자정보
(우석대학교)
저널정보
한국조리학회 Culinary Science & Hospitality Research Culinary Science & Hospitality Research Vol.32 No.10(Wn.195)
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    초록·키워드

    The global spread of K-Food and Korean cultural content has expanded interest in Korean sauces as convenient products that convey traditional flavors and support diverse culinary applications. Nevertheless, limited research has examined how K-Sauce is represented across English-language online environments beyond individual fermented sauces or menu items. This study therefore investigated the semantic structure of K-Sauce in global online discourse and derived implications for product development and overseas market expansion. A total of 9,926 English-language texts containing the search term “Korean sauce” were collected from Google web pages, Google News, and Facebook between July 1, 2024, and June 30, 2026. Following data cleaning and morphological analysis, term frequency analysis, TF-IDF, semantic network, centrality, and CONCOR analyses were conducted. The CONCOR analysis identified four semantic clusters. “Product Attributes & Choice Factors” encompassed sensory qualities, health, vegan and reduced-content attributes, convenience, price, brand, and review information. “Ingredients & Culinary Characteristics” comprised ingredients, seasonings, and cooking methods. “Consumption Experience & Globalization” reflected dining and street-food experiences, purchasing and recommendation information, and interactions with global and fusion food cultures. “Traditional Fermented Sauces & K-Food” connected gochujang, ganjang, doenjang, and ssamjang with representative Korean dishes, including bulgogi, bibimbap, tteokbokki, and chicken. These findings indicate that global online discourse frames K-Sauce as a multidimensional product category combining product attributes, Korean ingredients, culinary applications, consumption experiences, and Korean food culture. Academically, this study extends the conceptual scope of K-Sauce and empirically demonstrates its semantic structure using multi-channel, English-language unstructured data. Practically, the results suggest developing reduced-sugar, reduced-sodium, vegan, dipping, marinade, and multipurpose products; adapting flavor intensity and usage information to local food cultures; and linking traditional sauces with familiar dishes through localized recipes, brand storytelling, and experiential marketing.

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