Computational Model Library

SimPLS - The PLS Agent (1.1.0)

Methods are required to establish empirical links and support the implementation of valid agent models. This model contributes to this, by introducing the PLS agent concept. This approach shows a way to transfer results about individual preferences and decision criteria from empirical surveys into an agent decision model. The network of latent variables and their total effects on target constructs from the PLS path model are the basis for agent decision criteria and their effect strengths.
The simulation model SimPLS shows an application of the PLS agent concept and its added value through its consideration in a dynamic context. The simulation model implements the PLS path model TAM about the decision of using innovative products. Simulation experiments analyze the diffusion of innovative products under demographically varying populations consisting of young and aged consumers.

SimPLS_PLS_AGENT.png

Release Notes

Associated Publications

Schubring, S. and Lorscheid, I. and Meyer, M. and Ringle, C. M. (2016). The PLS Agent: Predictive Modeling with PLS-SEM and Agent-based Simulation. Journal of Business Research. (Special Issue on Predictive Modelling)
http://dx.doi.org/10.1016/j.jbusres.2016.03.052

SimPLS - The PLS Agent 1.1.0

Methods are required to establish empirical links and support the implementation of valid agent models. This model contributes to this, by introducing the PLS agent concept. This approach shows a way to transfer results about individual preferences and decision criteria from empirical surveys into an agent decision model. The network of latent variables and their total effects on target constructs from the PLS path model are the basis for agent decision criteria and their effect strengths.
The simulation model SimPLS shows an application of the PLS agent concept and its added value through its consideration in a dynamic context. The simulation model implements the PLS path model TAM about the decision of using innovative products. Simulation experiments analyze the diffusion of innovative products under demographically varying populations consisting of young and aged consumers.

Version Submitter First published Last modified Status
1.1.0 Iris Lorscheid Tue May 17 11:35:16 2016 Tue Feb 20 10:23:29 2018 Published
1.0.0 Iris Lorscheid Mon Apr 18 09:50:36 2016 Tue Feb 20 14:55:36 2018 Published

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