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
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Ringle, C. M., Sarstedt, M., Mitchell, R., & Gudergan, S. P. (2020) · The International Journal of Human Resource Management · doi:10.1080/09585192.2017.1416655 · Cited by 1,943
Rethinking some of the rethinking of partial least squares
Hair, J. F., Sarstedt, M., & Ringle, C. M. (2019) · European Journal of Marketing · doi:10.1108/ejm-10-2018-0665 · Cited by 1,839
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Sarstedt, M., Henseler, J., & Ringle, C. M. (2011) · Advances in International Marketing · doi:10.1108/s1474-7979(2011)0000022012 · Cited by 1,326
Structural model robustness checks in PLS-SEM
Sarstedt, M., Ringle, C. M., Cheah, J.-H., Ting, H., Moisescu, O. I., & Radomir, L. (2020) · Tourism Economics · doi:10.1177/1354816618823921 · Cited by 1,271
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Improving PLS-SEM Use for Business Marketing Research
Guenther, P., Guenther, M., Ringle, C. M., Zaefarian, G., & Cartwright, S. (2023) · Industrial Marketing Management · doi:10.1016/j.indmarman.2023.03.010 · Cited by 800
On the emancipation of PLS-SEM: a commentary on Rigdon (2012)
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Wilden, R., & Gudergan, S. P. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0380-y · Cited by 631
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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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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.