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• W3209163053 abstract "With the development of Internet technology and the digital market in China, consumption through e-commerce platforms and giving online reviews after purchase have become mainstream. However, current market research still uses traditional methods of surveys and questionnaires, which largely influences the efficiency of relevant enterprises in finding key product issues and lowers new product performance. This paper conducts the aspect-based sentiment analysis (ABSA) method to study the impact of consumer sentiment involvement (CSI) on new product performance. We took the ceramic industry as a case study, and collected 3.22 million consumer responses for ABSA. A total of 22 performances of new products were analyzed for CSI hypothesis testing. We found that CSI big data analytics were positively related to new product performance and enterprise innovation. Our study contributes in three ways. First, we extend the concept of co-creation in open innovation studies into an intelligent data intensive context. The data-driven open innovation is conducive to product design and new product performance. Second, we enrich the empirical industry of ABSA sentiment analysis in the Chinese ceramic industry. Third, we contribute to the collaboration method to motivate consumers to participate, which means to make effective product reviews in this research." @default.
• W3209163053 created "2021-11-08" @default.
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• W3209163053 date "2021-10-26" @default.
• W3209163053 modified "2023-10-18" @default.
• W3209163053 title "Consumer Sentiment Involvement in Big Data Analytics and Its Impact on Product Design Innovation" @default.
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• W3209163053 doi "https://doi.org/10.3390/su132111821" @default.
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