Abstracts of Annual Conference of Japan Society for Management Information
Annual Conference of Japan Society for Management Information 2015 Autumn
Session ID : J1-17
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Abstract
Quantitative Analysis of the Added Value of Products by Using Text-mining
*Yasuki HashimotoShuhei UenoNoritomo Ouchi
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Abstract
The progress of digitization rapidly promotes high-functionality and multi-functionality of products. However, it is more difficult for users to recognize the functions easily as functions of products become higher and more complex. Consumers don't necessarily evaluate the added value manufactures provide. It is required for firms to understand how consumers recognize the added value of products. The purposes of this study are quantitatively to identify the added value each manufacture provides and to clarify how consumers recognize those values. This study picked up digital still cameras and analyzed the text data of each firm's press-releases and consumers' reviews on a website by using text-mining. We provided new suggestions for understanding the process where added value is formed.
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© 2015 by Japan Society for Management Information
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