The Psychology of Sharing: Multigroup Analysis among Users and Non-Users of Carsharing
Érika Martins Silva Ramos and
Cecilia Jakobsson Bergstad
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Érika Martins Silva Ramos: Department of Psychology, University of Gothenburg, 40530 Gothenburg, Sweden
Cecilia Jakobsson Bergstad: Department of Psychology, University of Gothenburg, 40530 Gothenburg, Sweden
Sustainability, 2021, vol. 13, issue 12, 1-17
Abstract:
The present study investigates the determinants of intention to use carsharing services by an integrated model of psychological predictors of travel behavior. The model proposed is tested by multigroup confirmatory factor analysis (MGCFA) in structural equation modeling (SEM) with further discussion about analysis of invariance and its relevance for comparisons between groups. The sample was classified into four groups: Italian users, Italian non-users, Swedish users, and Swedish non-users of carsharing. The users were respondents who have used or are currently using carsharing, while non-users reported never using the carsharing services. The analysis of data from 6072 respondents revealed that control was the main predictor of intention to use carsharing; driving habits had stronger negative effects for users of carsharing than for non-users; subjective norms positively predicted the intention to use carsharing among all groups; trust was a predictor of intention only for the Italian groups; and climate morality had a small negative effect on the Swedish groups only. The outcomes of this investigation will increase the knowledge about the use of carsharing and help to identify the behavioral and psychological factors that primarily influence people’s intention to use it.
Keywords: transport mode choice; theory of planned behavior; technology acceptance model; habits; analysis of invariance (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:12:p:6842-:d:576522
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