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- W4317367579 abstract "The purpose of this study was to identify consumer perceptions of RMR products, which have recently been attracting attention as a food consumption trend, and to provide basic data for designing a marketing strategy for the restaurant industry. Big data analysis technique was used to identify consumer perception, and for this purpose, atypical data on RMR products were collected from various websites, and key words were derived through morphological analysis of the collected data. A CONCOR analysis was performed on 50 key words derived based on the frequency of appearance, and through this, consumer perceptions related to RMR were classified into 4 groups. Based on the classified four consumer perceptions, this study finally presented academic and practical implications for revitalizing RMR product sales and visiting dining out." @default.
- W4317367579 created "2023-01-19" @default.
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- W4317367579 date "2022-12-31" @default.
- W4317367579 modified "2023-10-17" @default.
- W4317367579 title "A study on consumer perception on “RMR(Restaurant Meal Replacement)” products using big data" @default.
- W4317367579 doi "https://doi.org/10.47584/jfm.2022.25.6.123" @default.
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