The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Capturing Customer Heterogeneity using a Finite Mixture PLS Approach
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Citations
Cites
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Cited by
When to Use and How to Report the Results of PLS-SEM
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019) · European Business Review · doi:10.1108/ebr-11-2018-0203 · Cited by 27,541
Pls-Sem: indeed a silver bullet
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011) · Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679190202 · Cited by 21,631
Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research
F. Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014) · European Business Review · doi:10.1108/ebr-10-2013-0128 · Cited by 11,728
An assessment of the use of partial least squares structural equation modeling in marketing research
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-011-0261-6 · Cited by 8,088
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013) · Long Range Planning · doi:10.1016/j.lrp.2013.01.001 · Cited by 5,310
Metadata
- Authors
- Hahn, C., Johnson, M. D., Herrmann, A., & Huber, F.
- Venue
- Schmalenbach Business Review
- Published
- 2002-07
- Volume
- 54
- Issue
- 3
- Pages
- 243-269
- ISSN
- 1439-2917 (ISSN-L)
- 2194-072X
- OpenAlex
- W3123747783
- Cited by
- 300
- References
- 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- green
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- Hahn, C., Johnson, M. D., Herrmann, A., & Huber, F. (2002). Capturing Customer Heterogeneity using a Finite Mixture PLS Approach. Schmalenbach Business Review. https://doi.org/10.1007/bf03396655
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
