Factors Influencing the Purchase Intention of Autonomous Cars
Even though autonomous cars have not yet crossed into the mainstream car market, their adoption seems inevitable, but not much is known about the purchasing intention of ACs and potential influences on it. To better understand the influences of various factors on purchasing intentions of autonomous...
Ausführliche Beschreibung
Autor*in: |
Darja Topolšek [verfasserIn] Dario Babić [verfasserIn] Darko Babić [verfasserIn] Tina Cvahte Ojsteršek [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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Übergeordnetes Werk: |
In: Sustainability - MDPI AG, 2009, 12(2020), 24, p 10303 |
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Übergeordnetes Werk: |
volume:12 ; year:2020 ; number:24, p 10303 |
Links: |
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DOI / URN: |
10.3390/su122410303 |
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Katalog-ID: |
DOAJ087039834 |
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10.3390/su122410303 doi (DE-627)DOAJ087039834 (DE-599)DOAJca4128e27e5d413ab3c3f85a0b3da805 DE-627 ger DE-627 rakwb eng TD194-195 TJ807-830 GE1-350 Darja Topolšek verfasserin aut Factors Influencing the Purchase Intention of Autonomous Cars 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Even though autonomous cars have not yet crossed into the mainstream car market, their adoption seems inevitable, but not much is known about the purchasing intention of ACs and potential influences on it. To better understand the influences of various factors on purchasing intentions of autonomous cars, research using bibliometrics, an online survey and SEM modelling was performed. Based on an analysis of previous research work and the unified theory of acceptance of technology, an empirical model was produced and tested using data obtained from an online survey involving 266 individuals. The goal was to analyse which characteristics of autonomous cars, socio-demographic variables of potential buyers, and buyers’ personal and social characteristics could potentially influence the adoption of autonomous cars. The results show that factors of car safety, buyer age and level of education, perceived social influence, anxiety and performance expectancy are significantly correlated to purchasing intention of ACs, while correlations with other factors to purchasing intentions have not been proven. autonomous car purchase intention autonomous car adoption SEM modelling Environmental effects of industries and plants Renewable energy sources Environmental sciences Dario Babić verfasserin aut Darko Babić verfasserin aut Tina Cvahte Ojsteršek verfasserin aut In Sustainability MDPI AG, 2009 12(2020), 24, p 10303 (DE-627)610604120 (DE-600)2518383-7 20711050 nnns volume:12 year:2020 number:24, p 10303 https://doi.org/10.3390/su122410303 kostenfrei https://doaj.org/article/ca4128e27e5d413ab3c3f85a0b3da805 kostenfrei https://www.mdpi.com/2071-1050/12/24/10303 kostenfrei https://doaj.org/toc/2071-1050 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 12 2020 24, p 10303 |
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10.3390/su122410303 doi (DE-627)DOAJ087039834 (DE-599)DOAJca4128e27e5d413ab3c3f85a0b3da805 DE-627 ger DE-627 rakwb eng TD194-195 TJ807-830 GE1-350 Darja Topolšek verfasserin aut Factors Influencing the Purchase Intention of Autonomous Cars 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Even though autonomous cars have not yet crossed into the mainstream car market, their adoption seems inevitable, but not much is known about the purchasing intention of ACs and potential influences on it. To better understand the influences of various factors on purchasing intentions of autonomous cars, research using bibliometrics, an online survey and SEM modelling was performed. Based on an analysis of previous research work and the unified theory of acceptance of technology, an empirical model was produced and tested using data obtained from an online survey involving 266 individuals. The goal was to analyse which characteristics of autonomous cars, socio-demographic variables of potential buyers, and buyers’ personal and social characteristics could potentially influence the adoption of autonomous cars. The results show that factors of car safety, buyer age and level of education, perceived social influence, anxiety and performance expectancy are significantly correlated to purchasing intention of ACs, while correlations with other factors to purchasing intentions have not been proven. autonomous car purchase intention autonomous car adoption SEM modelling Environmental effects of industries and plants Renewable energy sources Environmental sciences Dario Babić verfasserin aut Darko Babić verfasserin aut Tina Cvahte Ojsteršek verfasserin aut In Sustainability MDPI AG, 2009 12(2020), 24, p 10303 (DE-627)610604120 (DE-600)2518383-7 20711050 nnns volume:12 year:2020 number:24, p 10303 https://doi.org/10.3390/su122410303 kostenfrei https://doaj.org/article/ca4128e27e5d413ab3c3f85a0b3da805 kostenfrei https://www.mdpi.com/2071-1050/12/24/10303 kostenfrei https://doaj.org/toc/2071-1050 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 12 2020 24, p 10303 |
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10.3390/su122410303 doi (DE-627)DOAJ087039834 (DE-599)DOAJca4128e27e5d413ab3c3f85a0b3da805 DE-627 ger DE-627 rakwb eng TD194-195 TJ807-830 GE1-350 Darja Topolšek verfasserin aut Factors Influencing the Purchase Intention of Autonomous Cars 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Even though autonomous cars have not yet crossed into the mainstream car market, their adoption seems inevitable, but not much is known about the purchasing intention of ACs and potential influences on it. To better understand the influences of various factors on purchasing intentions of autonomous cars, research using bibliometrics, an online survey and SEM modelling was performed. Based on an analysis of previous research work and the unified theory of acceptance of technology, an empirical model was produced and tested using data obtained from an online survey involving 266 individuals. The goal was to analyse which characteristics of autonomous cars, socio-demographic variables of potential buyers, and buyers’ personal and social characteristics could potentially influence the adoption of autonomous cars. The results show that factors of car safety, buyer age and level of education, perceived social influence, anxiety and performance expectancy are significantly correlated to purchasing intention of ACs, while correlations with other factors to purchasing intentions have not been proven. autonomous car purchase intention autonomous car adoption SEM modelling Environmental effects of industries and plants Renewable energy sources Environmental sciences Dario Babić verfasserin aut Darko Babić verfasserin aut Tina Cvahte Ojsteršek verfasserin aut In Sustainability MDPI AG, 2009 12(2020), 24, p 10303 (DE-627)610604120 (DE-600)2518383-7 20711050 nnns volume:12 year:2020 number:24, p 10303 https://doi.org/10.3390/su122410303 kostenfrei https://doaj.org/article/ca4128e27e5d413ab3c3f85a0b3da805 kostenfrei https://www.mdpi.com/2071-1050/12/24/10303 kostenfrei https://doaj.org/toc/2071-1050 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 12 2020 24, p 10303 |
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10.3390/su122410303 doi (DE-627)DOAJ087039834 (DE-599)DOAJca4128e27e5d413ab3c3f85a0b3da805 DE-627 ger DE-627 rakwb eng TD194-195 TJ807-830 GE1-350 Darja Topolšek verfasserin aut Factors Influencing the Purchase Intention of Autonomous Cars 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Even though autonomous cars have not yet crossed into the mainstream car market, their adoption seems inevitable, but not much is known about the purchasing intention of ACs and potential influences on it. To better understand the influences of various factors on purchasing intentions of autonomous cars, research using bibliometrics, an online survey and SEM modelling was performed. Based on an analysis of previous research work and the unified theory of acceptance of technology, an empirical model was produced and tested using data obtained from an online survey involving 266 individuals. The goal was to analyse which characteristics of autonomous cars, socio-demographic variables of potential buyers, and buyers’ personal and social characteristics could potentially influence the adoption of autonomous cars. The results show that factors of car safety, buyer age and level of education, perceived social influence, anxiety and performance expectancy are significantly correlated to purchasing intention of ACs, while correlations with other factors to purchasing intentions have not been proven. autonomous car purchase intention autonomous car adoption SEM modelling Environmental effects of industries and plants Renewable energy sources Environmental sciences Dario Babić verfasserin aut Darko Babić verfasserin aut Tina Cvahte Ojsteršek verfasserin aut In Sustainability MDPI AG, 2009 12(2020), 24, p 10303 (DE-627)610604120 (DE-600)2518383-7 20711050 nnns volume:12 year:2020 number:24, p 10303 https://doi.org/10.3390/su122410303 kostenfrei https://doaj.org/article/ca4128e27e5d413ab3c3f85a0b3da805 kostenfrei https://www.mdpi.com/2071-1050/12/24/10303 kostenfrei https://doaj.org/toc/2071-1050 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 12 2020 24, p 10303 |
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Even though autonomous cars have not yet crossed into the mainstream car market, their adoption seems inevitable, but not much is known about the purchasing intention of ACs and potential influences on it. To better understand the influences of various factors on purchasing intentions of autonomous cars, research using bibliometrics, an online survey and SEM modelling was performed. Based on an analysis of previous research work and the unified theory of acceptance of technology, an empirical model was produced and tested using data obtained from an online survey involving 266 individuals. The goal was to analyse which characteristics of autonomous cars, socio-demographic variables of potential buyers, and buyers’ personal and social characteristics could potentially influence the adoption of autonomous cars. The results show that factors of car safety, buyer age and level of education, perceived social influence, anxiety and performance expectancy are significantly correlated to purchasing intention of ACs, while correlations with other factors to purchasing intentions have not been proven. |
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Even though autonomous cars have not yet crossed into the mainstream car market, their adoption seems inevitable, but not much is known about the purchasing intention of ACs and potential influences on it. To better understand the influences of various factors on purchasing intentions of autonomous cars, research using bibliometrics, an online survey and SEM modelling was performed. Based on an analysis of previous research work and the unified theory of acceptance of technology, an empirical model was produced and tested using data obtained from an online survey involving 266 individuals. The goal was to analyse which characteristics of autonomous cars, socio-demographic variables of potential buyers, and buyers’ personal and social characteristics could potentially influence the adoption of autonomous cars. The results show that factors of car safety, buyer age and level of education, perceived social influence, anxiety and performance expectancy are significantly correlated to purchasing intention of ACs, while correlations with other factors to purchasing intentions have not been proven. |
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Even though autonomous cars have not yet crossed into the mainstream car market, their adoption seems inevitable, but not much is known about the purchasing intention of ACs and potential influences on it. To better understand the influences of various factors on purchasing intentions of autonomous cars, research using bibliometrics, an online survey and SEM modelling was performed. Based on an analysis of previous research work and the unified theory of acceptance of technology, an empirical model was produced and tested using data obtained from an online survey involving 266 individuals. The goal was to analyse which characteristics of autonomous cars, socio-demographic variables of potential buyers, and buyers’ personal and social characteristics could potentially influence the adoption of autonomous cars. The results show that factors of car safety, buyer age and level of education, perceived social influence, anxiety and performance expectancy are significantly correlated to purchasing intention of ACs, while correlations with other factors to purchasing intentions have not been proven. |
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|
score |
7.4008465 |