The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.
Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice
Open accessAbstract
Commonly used discrete choice model analyses (e.g., probit, logit and multinomial logit models) draw on the estimation of importance weights that apply to different attribute levels. But directly estimating the importance weights of the attribute as a whole, rather than of distinct attribute levels, is challenging. This article substantiates the usefulness of partial least squares structural equation modeling (PLS-SEM) for the analysis of stated preference data generated through choice experiments in discrete choice modeling. This ability of PLS-SEM to directly estimate the importance weights for attributes as a whole, rather than for the attribute’s levels, and to compute determinant respondent-specific latent variable scores applicable to attributes, can more effectively model and distinguish between rational (i.e., optimizing) decisions and pragmatic (i.e., heuristic) ones, when parameter estimations for attributes as a whole are crucial to understanding choice decisions.
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Cited by
Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021) · Classroom Companion: Business · doi:10.1007/978-3-030-80519-7 · Cited by 10,343
Self-citationHair, J., & Alamer, A. (2022) · Research Methods in Applied Linguistics · doi:10.1016/j.rmal.2022.100027 · Cited by 2,833
Self-citationExecuting and interpreting applications of PLS-SEM: updates for family business researchers
Hair, J. F., Astrachan, C. B., Moisescu, O. I., Radomir, L., Sarstedt, M., Vaithilingam, S., & Ringle, C. M. (2021) · Journal of Family Business Strategy · doi:10.1016/j.jfbs.2020.100392 · Cited by 860
Self-citationFake news and COVID-19: modelling the predictors of fake news sharing among social media users
Apuke, O. D., & Omar, B. (2021) · Telematics and Informatics · doi:10.1016/j.tele.2020.101475 · Cited by 732
Multigroup Analysis using SmartPLS: Step-by-Step Guidelines for Business Research
School of Business and Economics, U. P. M., Cheah, J.-H., Thurasamy, R., School of Management, U. S. M., Memon, M. A., NUST Business School, N. U. O. S. A. T., Chuah, F., Othman Yeop Abdullah Graduate School of Business, U. U. M., Ting, H., & Faculty of Hospitality and Tourism Management, U. U. (2020) · Asian Journal of Business Research · doi:10.14707/ajbr.200087 · Cited by 396
Metadata
- Authors
- Hair, J. F., Ringle, C. M., Gudergan, S. P., Fischer, A., Nitzl, C., & Menictas, C.
- Venue
- Business Research
- Published
- 2018-08-28
- Volume
- 12
- Issue
- 1
- Pages
- 115-142
- ISSN
- 1866-8658 (ISSN-L)
- 2198-3402
- 2198-2627
- OpenAlex
- W2889471592
- Cited by
- 560
- References
- 90
- FWCI
- 32.35
- Type
- journal article
- Language
- en
- Open access
- gold
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- Hair, J. F., Ringle, C. M., Gudergan, S. P., Fischer, A., Nitzl, C., & Menictas, C. (2019). Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice. Business Research. https://doi.org/10.1007/s40685-018-0072-4
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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