Spanish, Portuguese, and Latin America (LACAIS Chapter)
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Paper Type
Complete
Paper Number
1141
Description
This study aims to create an algorithm to processes open data. The top expected outcome is to generate interpretable ideas, mapping the needs of the consumer market as the starting point to the innovation process at companies with clients as the focus of the method. The model was built using Twitter data to analyze the clothes industry, focusing on three companies operating in Brazil. It is possible to conclude: clients can be a source of important information to companies that, can organize the content in practical action on behalf of innovation and competitiveness. The results are more reliable for the negative sentiment, having in mind the precision and recall indicators higher (>=0.7). Besides, to the fast fashion segment, it is clear the appreciation of attributes, such as fast delivery, efficient service, size diversity, promotions and discounts, and the relevant role of communication campaigns, in particular, with social media influencers.
Recommended Citation
de França Mota, Leticia Miranda and Mantovani, Daielly, "Co-innovation in the clothes industry: aggregating the customer's vision from open data" (2021). AMCIS 2021 Proceedings. 3.
https://aisel.aisnet.org/amcis2021/lacais/lacais/3
Co-innovation in the clothes industry: aggregating the customer's vision from open data
This study aims to create an algorithm to processes open data. The top expected outcome is to generate interpretable ideas, mapping the needs of the consumer market as the starting point to the innovation process at companies with clients as the focus of the method. The model was built using Twitter data to analyze the clothes industry, focusing on three companies operating in Brazil. It is possible to conclude: clients can be a source of important information to companies that, can organize the content in practical action on behalf of innovation and competitiveness. The results are more reliable for the negative sentiment, having in mind the precision and recall indicators higher (>=0.7). Besides, to the fast fashion segment, it is clear the appreciation of attributes, such as fast delivery, efficient service, size diversity, promotions and discounts, and the relevant role of communication campaigns, in particular, with social media influencers.
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