Predicting Sustainable Consumption Behavior of Europeans Using the CVPAT

Lena Frömbling; Svenja Damberg; Ulla Saari; Christian M. Ringle

doi:10.1007/978-3-031-34589-0_13

Abstract

This chapter aims to explain and predict the sustainable consumption behavior among Europeans. We build on the study by Saari et al. (2021) and used the partial least squares structural equation modeling (PLS-SEM) approach to construct an alternative model. Thereby, we rely on the ISSP Environment III dataset and select nine European countries (N = 11,675). Subsequently, we tested both models in terms of their predictive ability by using the cross-validated predictive ability test (CVPAT). We find that the proposed alternative model shows a significantly lower average loss and, hence, inherits higher out-of-sample predictive ability than the established model. We recommend further testing both models to ensure theoretical generalizability. Our study adds value to research regarding sustainable consumption behavior, in that we not only consider the explanation of the effects in our model, but also include a predictive angle by applying a novel methodology.

Original language	English
Title of host publication	State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM)
Subtitle of host publication	Methodological Extensions and Applications in the Social Sciences and Beyond
Editors	Lăcrămioara Radomir, Raluca Ciornea, Huiwen Wang, Yide Liu, Christian M. Ringle, Marko Sarstedt
Publisher	Springer
Pages	115-121
Number of pages	7
ISBN (Electronic)	978-3-031-34589-0
ISBN (Print)	978-3-031-34588-3
DOIs	https://doi.org/10.1007/978-3-031-34589-0_13
Publication status	Published - 2023
Publication type	A3 Book chapter
Event	International Conference on Partial Least Squares Structural Equation Modeling - Cluj-Napoca, Romania Duration: 6 Sept 2023 → 9 Sept 2023

Publication series

Name	Springer Proceedings in Business and Economics
ISSN (Print)	2198-7246
ISSN (Electronic)	2198-7254

Conference

Conference	International Conference on Partial Least Squares Structural Equation Modeling
Country/Territory	Romania
City	Cluj-Napoca
Period	6/09/23 → 9/09/23

Keywords

Sustainability
Consumption behavior
Explanation
Prediction
CVPAT
PLS-SEM

Publication forum classification

Publication forum level 0

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-34589-0_13

https://urn.fi/URN:NBN:fi:tuni-202311069412Licence: Unspecified

Embargoed Document

Predicting Sustainable
Accepted author manuscript, 75.9 KB
Licence: Unspecified
Embargo ends: 16/09/25

Cite this

Frömbling, L., Damberg, S., Saari, U., & Ringle, C. M. (2023). Predicting Sustainable Consumption Behavior of Europeans Using the CVPAT. In L. Radomir, R. Ciornea, H. Wang, Y. Liu, C. M. Ringle, & M. Sarstedt (Eds.), State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM): Methodological Extensions and Applications in the Social Sciences and Beyond (pp. 115-121). (Springer Proceedings in Business and Economics). Springer. https://doi.org/10.1007/978-3-031-34589-0_13

Frömbling, Lena ; Damberg, Svenja ; Saari, Ulla et al. / Predicting Sustainable Consumption Behavior of Europeans Using the CVPAT. State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM): Methodological Extensions and Applications in the Social Sciences and Beyond. editor / Lăcrămioara Radomir ; Raluca Ciornea ; Huiwen Wang ; Yide Liu ; Christian M. Ringle ; Marko Sarstedt. Springer, 2023. pp. 115-121 (Springer Proceedings in Business and Economics).

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abstract = "This chapter aims to explain and predict the sustainable consumption behavior among Europeans. We build on the study by Saari et al. (2021) and used the partial least squares structural equation modeling (PLS-SEM) approach to construct an alternative model. Thereby, we rely on the ISSP Environment III dataset and select nine European countries (N = 11,675). Subsequently, we tested both models in terms of their predictive ability by using the cross-validated predictive ability test (CVPAT). We find that the proposed alternative model shows a significantly lower average loss and, hence, inherits higher out-of-sample predictive ability than the established model. We recommend further testing both models to ensure theoretical generalizability. Our study adds value to research regarding sustainable consumption behavior, in that we not only consider the explanation of the effects in our model, but also include a predictive angle by applying a novel methodology. ",

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Frömbling, L, Damberg, S, Saari, U & Ringle, CM 2023, Predicting Sustainable Consumption Behavior of Europeans Using the CVPAT. in L Radomir, R Ciornea, H Wang, Y Liu, CM Ringle & M Sarstedt (eds), State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM): Methodological Extensions and Applications in the Social Sciences and Beyond. Springer Proceedings in Business and Economics, Springer, pp. 115-121, International Conference on Partial Least Squares Structural Equation Modeling, Cluj-Napoca, Romania, 6/09/23. https://doi.org/10.1007/978-3-031-34589-0_13

Predicting Sustainable Consumption Behavior of Europeans Using the CVPAT. / Frömbling, Lena; Damberg, Svenja; Saari, Ulla et al.
State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM): Methodological Extensions and Applications in the Social Sciences and Beyond. ed. / Lăcrămioara Radomir; Raluca Ciornea; Huiwen Wang; Yide Liu; Christian M. Ringle; Marko Sarstedt. Springer, 2023. p. 115-121 (Springer Proceedings in Business and Economics).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

TY - CHAP

T1 - Predicting Sustainable Consumption Behavior of Europeans Using the CVPAT

AU - Frömbling, Lena

AU - Damberg, Svenja

AU - Saari, Ulla

AU - Ringle, Christian M.

PY - 2023

Y1 - 2023

N2 - This chapter aims to explain and predict the sustainable consumption behavior among Europeans. We build on the study by Saari et al. (2021) and used the partial least squares structural equation modeling (PLS-SEM) approach to construct an alternative model. Thereby, we rely on the ISSP Environment III dataset and select nine European countries (N = 11,675). Subsequently, we tested both models in terms of their predictive ability by using the cross-validated predictive ability test (CVPAT). We find that the proposed alternative model shows a significantly lower average loss and, hence, inherits higher out-of-sample predictive ability than the established model. We recommend further testing both models to ensure theoretical generalizability. Our study adds value to research regarding sustainable consumption behavior, in that we not only consider the explanation of the effects in our model, but also include a predictive angle by applying a novel methodology.

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KW - Consumption behavior

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BT - State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM)

A2 - Radomir, Lăcrămioara

A2 - Ciornea, Raluca

A2 - Wang, Huiwen

A2 - Liu, Yide

A2 - Ringle, Christian M.

A2 - Sarstedt, Marko

PB - Springer

T2 - International Conference on Partial Least Squares Structural Equation Modeling

Y2 - 6 September 2023 through 9 September 2023

ER -

Frömbling L, Damberg S, Saari U, Ringle CM. Predicting Sustainable Consumption Behavior of Europeans Using the CVPAT. In Radomir L, Ciornea R, Wang H, Liu Y, Ringle CM, Sarstedt M, editors, State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM): Methodological Extensions and Applications in the Social Sciences and Beyond. Springer. 2023. p. 115-121. (Springer Proceedings in Business and Economics). Epub 2022 Sept 6. doi: 10.1007/978-3-031-34589-0_13