Heterogeneity in consumers' mobile shopping acceptance : a finite mixture partial least squares modelling approach for exploring and characterising different shopper segments
Michael Groß
| Year of publication: |
January 2018
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|---|---|
| Authors: | Groß, Michael |
| Published in: |
Journal of retailing and consumer services. - Amsterdam [u.a.] : Elsevier, ISSN 0969-6989, ZDB-ID 1204385-0. - Vol. 40.2018, p. 8-18
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| Subject: | Mobile shopping (m-shopping) | Multidimensional acceptance understanding | Consumer segmentation | Finite mixtures partial least squares (FIMIX-PLS) | Importance-performance matrix analysis (IPMA) | Technology acceptance model (TAM) | Innovationsakzeptanz | Innovation adoption | Konsumentenverhalten | Consumer behaviour | Partielle kleinste Quadrate | Partial least squares | Online-Handel | Online retailing | Theorie | Theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.jretconser.2017.09.002 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011801708