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Adler, S. J., Sharma, P. N., & Radomir, L. (2023). Toward open science in PLS-SEM: Assessing the state of the art and future perspectives. Journal of Business Research, 169, 114291. https://doi.org/10.1016/j.jbusres.2023.114291 |
Cho, G., Hwang, H., Sarstedt, M., & Ringle, C. M. (2022). A Prediction-Oriented Specification Search Algorithm for Generalized Structured Component Analysis. Structural Equation Modeling: A Multidisciplinary Journal, 29(4), 611-619. |
Cho, G., Sarstedt, M., & Hwang, H. (2022). A comparative evaluation of factor- and component-based structural equation modelling approaches under (in)correct construct representations. British Journal of Mathematical and Statistical Psychology, 75(2), 220-251. |
Franke, G., Sarstedt, M., & Danks, N. (2021). Assessing measure congruence in nomological networks. Journal of Business Research, 130, 318-334. |
Sarstedt, M. & Danks, N. P. (2022). Prediction in HRM research − A gap between rhetoric and reality. Human Resource Management Journal, 32(2), 485-513. Video abstract. |
Sarstedt, M., Hair, J. F., Pick, M., Liengaard, B. D., Radomir, L., & Ringle, C. M. (2022). Progress in partial least squares structural equation modeling use in marketing in the last decade. Psychology & Marketing, 39(5), 1035-1064.
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Sarstedt, M., Radomir, L., Moisescu, O. I., & Ringle, C. M. (2022). Latent class analysis in PLS-SEM: A review and recommendations for future applications. Journal of Business Research, 138, 398-407. |