Real-time analysis and predictability of the health functional food market using big data
| Autor: | Seokwon Lim, Sang-Oh Kim, Sang-Soon Kim |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
business.industry
Computer science Big data Application programming interfaces Health functional food Market trend Applied Microbiology and Biotechnology Data type Stock market index Online search Market analysis Online shopping Market data Programming Econometrics Predictability business Research Article Food Science Biotechnology |
| Zdroj: | Food Science and Biotechnology |
| ISSN: | 2092-6456 1226-7708 |
| DOI: | 10.1007/s10068-021-00999-5 |
| Popis: | This study conducted a real-time analysis of the health functional food market using big data. To assess the scope of big data in market analysis, big data of the health food category were compared and analyzed with actual market data. Data were first collected using a program to obtain data, through application programming interfaces, followed by SPSS to compare and analyze the actual market index and shopping search word data. The correlation between the online search data and the actual market was high, indicating that online search data can be used to predict the trend of the actual market. Various types of data, such as items and major functional ingredients, can be collected and analyzed through the program developed for this study, which is also used to predict the market trend. The results demonstrate how APIs can be used to predict market size in the food industry effectively. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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