The project

This project contains two logistic regression examples for SmartPLS 4.

Example 1

The first example is about customer satisfaction with industrial goods. This project contains the data from the study by Festge and Schwaiger (2007) and includes responses from 281 company representatives from 12 countries. The aim of the study was to develop a new measurement instrument for customer satisfaction consisting of 15 constructs measured by 52 items. Sarstedt et al. (2009) used the dataset in their extension of the original model, in which they employed finite mixture PLS (FIMIX-PLS; Hahn et al., 2002; Sarstedt et al., 2011) to account for unobserved heterogeneity.

Example 2

The second example stems from Hair et al.'s (2018) textbook. The data of this textbook example includes 100 observations.

Download and import

Simply download the project and import it in SmartPLS 4.

References

Festge, F., & Schwaiger, M. (2007). The Drivers of Customer Satisfaction with Industrial Goods: An International Study. In C. R. Taylor, & D.-H. Lee (Eds.), Advances in International Marketing - Cross-cultural Buyer Behavior, Vol. 18 (pp. 179-207). Bingley: Emerald.

Hahn C, Johnson M.D., Herrmann A., & Huber F. (2002). Capturing Customer Heterogeneity Using a Finite Mixture PLS Approach. Schmalenbach Business Review, 54(3), 243-269.

Hair, J.F., Black, W.C., Babin, B.J., and Anderson, R.E. (2018). Multivariate Data Analysis, 8th Ed., Cengage: London.

Sarstedt, M., Ringle, C.M., & Schwaiger, M. (2009). Do We Fully Understand the Critical Success Factors of Customer Satisfaction with Industrial Goods? Extending Festge and Schwaiger’s Model to Account for Unobserved Heterogeneity. Journal of Business Market Management, 3(3), 185-206.

Sarstedt, M., Becker, J.-M., Ringle, C.M., & Schwaiger, M. (2011). Uncovering and Treating Unobserved Heterogeneity with FIMIX-PLS: Which Model Selection Criterion Provides an Appropriate Number of Segments?. Schmalenbach Business Review, 63(1), 34-62.