The Psychology of Sharing: Multigroup Analysis among Users and Non-Users of Carsharing
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...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
|
Series: | Sustainability |
Subjects: | |
Online Access: | https://www.mdpi.com/2071-1050/13/12/6842 |
id |
doaj-a53cf82083664f2d8e41b99cceb5a36d |
---|---|
record_format |
Article |
spelling |
doaj-a53cf82083664f2d8e41b99cceb5a36d2021-07-01T00:24:53ZengMDPI AGSustainability2071-10502021-06-01136842684210.3390/su13126842The Psychology of Sharing: Multigroup Analysis among Users and Non-Users of CarsharingÉrika Martins Silva Ramos0Cecilia Jakobsson Bergstad1Department of Psychology, University of Gothenburg, 40530 Gothenburg, SwedenDepartment of Psychology, University of Gothenburg, 40530 Gothenburg, SwedenThe 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.https://www.mdpi.com/2071-1050/13/12/6842transport mode choicetheory of planned behaviortechnology acceptance modelhabitsanalysis of invariance |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Érika Martins Silva Ramos Cecilia Jakobsson Bergstad |
spellingShingle |
Érika Martins Silva Ramos Cecilia Jakobsson Bergstad The Psychology of Sharing: Multigroup Analysis among Users and Non-Users of Carsharing Sustainability transport mode choice theory of planned behavior technology acceptance model habits analysis of invariance |
author_facet |
Érika Martins Silva Ramos Cecilia Jakobsson Bergstad |
author_sort |
Érika Martins Silva Ramos |
title |
The Psychology of Sharing: Multigroup Analysis among Users and Non-Users of Carsharing |
title_short |
The Psychology of Sharing: Multigroup Analysis among Users and Non-Users of Carsharing |
title_full |
The Psychology of Sharing: Multigroup Analysis among Users and Non-Users of Carsharing |
title_fullStr |
The Psychology of Sharing: Multigroup Analysis among Users and Non-Users of Carsharing |
title_full_unstemmed |
The Psychology of Sharing: Multigroup Analysis among Users and Non-Users of Carsharing |
title_sort |
psychology of sharing: multigroup analysis among users and non-users of carsharing |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2021-06-01 |
description |
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. |
topic |
transport mode choice theory of planned behavior technology acceptance model habits analysis of invariance |
url |
https://www.mdpi.com/2071-1050/13/12/6842 |
work_keys_str_mv |
AT erikamartinssilvaramos thepsychologyofsharingmultigroupanalysisamongusersandnonusersofcarsharing AT ceciliajakobssonbergstad thepsychologyofsharingmultigroupanalysisamongusersandnonusersofcarsharing AT erikamartinssilvaramos psychologyofsharingmultigroupanalysisamongusersandnonusersofcarsharing AT ceciliajakobssonbergstad psychologyofsharingmultigroupanalysisamongusersandnonusersofcarsharing |
_version_ |
1721348763663990784 |