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A Chance Discovery Process to Understanding Spiral Behaviors of Consumers

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3214))

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Abstract

The system engineering based consumer’s behavior analysis methods are developed. The methods consist of the three models described in different viewpoints: process, status, and information structure. Consumer’s behaviors for purchasing soft drinks are analyzed with these methods in a hierarchical process as “totality to individual”. The behavior as a group is analyzed with aggregation data by statistical methods. Then, the discovered knowledge is explained by analyzing the behavior as an individual with the three above-mentioned models. Thus, spiral dynamics of consumer’s behavior generated by repetitive fluctuations of the concern is detected.

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© 2004 Springer-Verlag Berlin Heidelberg

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Kushiro, N., Osawa, Y. (2004). A Chance Discovery Process to Understanding Spiral Behaviors of Consumers. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30133-2_106

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  • DOI: https://doi.org/10.1007/978-3-540-30133-2_106

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23206-3

  • Online ISBN: 978-3-540-30133-2

  • eBook Packages: Springer Book Archive

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