Identifying consumer segments from online reviews : data-driven considerations and the use of finite mixture models

Tuma MN (2013)
Bielefeld.

Dissertation | English

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Tuma MN. Identifying consumer segments from online reviews : data-driven considerations and the use of finite mixture models. Bielefeld; 2013.
Tuma, M. N. (2013). Identifying consumer segments from online reviews : data-driven considerations and the use of finite mixture models. Bielefeld.
Tuma, M. N. (2013). Identifying consumer segments from online reviews : data-driven considerations and the use of finite mixture models. Bielefeld.
Tuma, M.N., 2013. Identifying consumer segments from online reviews : data-driven considerations and the use of finite mixture models, Bielefeld.
M.N. Tuma, Identifying consumer segments from online reviews : data-driven considerations and the use of finite mixture models, Bielefeld: 2013.
Tuma, M.N.: Identifying consumer segments from online reviews : data-driven considerations and the use of finite mixture models. Bielefeld (2013).
Tuma, Michael Nche. Identifying consumer segments from online reviews : data-driven considerations and the use of finite mixture models. Bielefeld, 2013.
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Material in PUB:
Dissertation containing PUB record
The Application of Cluster Analysis in Marketing Research: A Literature Analysis
Tuma MN, Scholz S, Decker R (2009)
Business Quest Journal 14.
Dissertation containing PUB record
Finite Mixture Models in Market Segmentation: A Review and Suggestions for Best Practices
Tuma MN, Decker R (2013)
Electronic Journal of Business Research Methods 11(1): 2-15.
Dissertation containing PUB record
Online reviews as a source of marketing research data: a literature analysis
Tuma MN, Decker R (2013)
International Journal of Electronic Marketing and Retailing 5(4): 287-316.
Dissertation containing PUB record
A survey of the challenges and pitfalls of cluster analysis application in market segmentation
Tuma MN, Decker R, Scholz S (2011)
International Journal of Market Research 53(3): 391-414.

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