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subject:"Kleinste-Quadrate-Methode"
~isPartOf:"Cogent business & management"
~isPartOf:"Discussion paper / Sonderforschungsbereich 386 der Ludwig-Maximilians-Universität München"
~isPartOf:"Gabler Edition Wissenschaft"
~isPartOf:"Journal of retailing and consumer services"
~person:"Groß, Michael"
~subject:"Consumer behaviour"
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Kleinste-Quadrate-Methode
Consumer behaviour
Consumer segmentation
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Finite mixtures partial least squares (FIMIX-PLS)
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Importance-performance matrix analysis (IPMA)
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Innovation adoption
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Innovationsakzeptanz
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Konsumentenverhalten
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Market segmentation
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Marktsegmentierung
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Mobile shopping (m-shopping)
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Multidimensional acceptance understanding
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Partial least squares
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Partielle kleinste Quadrate
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Groß, Michael
Boulesteix, Anne-Laure
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Ahmad, Imam Safawi
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Andersch, Henrike
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Arnold, Christian
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Bushashe, Million Adafre
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Charlton, Nathalie
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Cogent business & management
Discussion paper / Sonderforschungsbereich 386 der Ludwig-Maximilians-Universität München
Gabler Edition Wissenschaft
Journal of retailing and consumer services
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Heterogeneity in consumers' mobile shopping acceptance : a finite mixture partial least squares modelling approach for exploring and characterising different shopper segments
Groß, Michael
- In:
Journal of retailing and consumer services
40
(
2018
),
pp. 8-18
Persistent link: https://www.econbiz.de/10011801708
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