Self-determination theory (SDT) is a theory of human motivation that highlights the distinction between intrinsic and extrinsic motivations. Recent research has advocated its wider use in marketing studies, suggesting that it has strong predictive accuracy for consumer behaviors, and has proposed arguments about the necessity of both intrinsic and extrinsic motivations for marketing outcomes. However, these statements have not been empirically substantiated. We address this gap by studying the motivations for attitude and intention to use anti-food waste apps. Data from 141 users and 227 non-users of the app "Too Good To Go" are analyzed using partial least squares structural equation modeling (PLS-SEM) and several of its methodological extensions (e.g., multigroup analysis and the cross-validated predictive ability test), and necessary condition analysis (NCA). The findings support the argument that SDT accurately predicts consumer attitudes and behaviors, while NCA provides a nuanced view of the necessity of intrinsic and extrinsic motivations.

(2024). The value of self-determination theory in marketing studies: Insights from the application of PLS-SEM and NCA to anti-food waste apps [journal article - articolo]. In JOURNAL OF BUSINESS RESEARCH. Retrieved from https://hdl.handle.net/10446/291306

The value of self-determination theory in marketing studies: Insights from the application of PLS-SEM and NCA to anti-food waste apps

Magno, Francesca
2024-01-01

Abstract

Self-determination theory (SDT) is a theory of human motivation that highlights the distinction between intrinsic and extrinsic motivations. Recent research has advocated its wider use in marketing studies, suggesting that it has strong predictive accuracy for consumer behaviors, and has proposed arguments about the necessity of both intrinsic and extrinsic motivations for marketing outcomes. However, these statements have not been empirically substantiated. We address this gap by studying the motivations for attitude and intention to use anti-food waste apps. Data from 141 users and 227 non-users of the app "Too Good To Go" are analyzed using partial least squares structural equation modeling (PLS-SEM) and several of its methodological extensions (e.g., multigroup analysis and the cross-validated predictive ability test), and necessary condition analysis (NCA). The findings support the argument that SDT accurately predicts consumer attitudes and behaviors, while NCA provides a nuanced view of the necessity of intrinsic and extrinsic motivations.
articolo
2024
Cassia, Fabio; Magno, Francesca
(2024). The value of self-determination theory in marketing studies: Insights from the application of PLS-SEM and NCA to anti-food waste apps [journal article - articolo]. In JOURNAL OF BUSINESS RESEARCH. Retrieved from https://hdl.handle.net/10446/291306
File allegato/i alla scheda:
File Dimensione del file Formato  
1-s2.0-S0148296323008135-main.pdf

accesso aperto

Versione: publisher's version - versione editoriale
Licenza: Creative commons
Dimensione del file 4.86 MB
Formato Adobe PDF
4.86 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/291306
Citazioni
  • Scopus 18
  • ???jsp.display-item.citation.isi??? 19
social impact