Influence of perceived safety in the technology acceptance model
This study intends to redescribe the Technology Acceptance Model (TAM) combined with belief classification and relation in the theory of reasoned action in a study on the intention to use Autonomous Vehicles (AVs). Using need motivation theory, the study constructs descriptive beliefs in TAM and int...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yao, Shenghui [verfasserIn] Xie, Lifen [verfasserIn] Chen, Yiji [verfasserIn] Zhang, Yan [verfasserIn] Chen, Ying [verfasserIn] Gao, Mingjie [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Transportation research / F - Amsterdam [u.a.] : Elsevier Science, 1998, 99, Seite 36-51 |
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| Übergeordnetes Werk: |
volume:99 ; pages:36-51 |
| DOI / URN: |
10.1016/j.trf.2023.10.010 |
|---|
| Katalog-ID: |
ELV065800419 |
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| 520 | |a This study intends to redescribe the Technology Acceptance Model (TAM) combined with belief classification and relation in the theory of reasoned action in a study on the intention to use Autonomous Vehicles (AVs). Using need motivation theory, the study constructs descriptive beliefs in TAM and introduces Perceived Safety (PS) into TAM to explain the use intention of potential users of AVs. The participants filled out an online questionnaire after watching a video of AVs driving on an open roadway. The study collected 470 valid questionnaires. Statistical Package for the Social Sciences (SPSS) was used to organize data, and structural equation modeling (SEM) was further used to perform hypotheses testing and effect analysis. The results indicated that PS, Perceived Ease of Use (PEU), and Perceived Usefulness (PU) exert direct effects on use intention. PS and PEU also exerted indirect effects use intention through PU, and the total and indirect effects of PS were found to be greater than those of PEU, which validates the significant influence of PS in TAM. Moreover, the findings validated the role of PS as a descriptive belief in TAM in influencing the PU of inferred beliefs. | ||
| 650 | 4 | |a Autonomous vehicle | |
| 650 | 4 | |a Technology acceptance model | |
| 650 | 4 | |a Perceived safety | |
| 650 | 4 | |a Behavioral intention | |
| 650 | 4 | |a Artificial intelligence | |
| 700 | 1 | |a Xie, Lifen |e verfasserin |0 (orcid)0000-0003-0197-0087 |4 aut | |
| 700 | 1 | |a Chen, Yiji |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Yan |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Ying |e verfasserin |4 aut | |
| 700 | 1 | |a Gao, Mingjie |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Transportation research / F |d Amsterdam [u.a.] : Elsevier Science, 1998 |g 99, Seite 36-51 |h Online-Ressource |w (DE-627)320599191 |w (DE-600)2019959-4 |w (DE-576)259485136 |x 1873-5517 |7 nnns |
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10.1016/j.trf.2023.10.010 doi (DE-627)ELV065800419 (ELSEVIER)S1369-8478(23)00210-3 DE-627 ger DE-627 rda eng 380 VZ Yao, Shenghui verfasserin aut Influence of perceived safety in the technology acceptance model 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study intends to redescribe the Technology Acceptance Model (TAM) combined with belief classification and relation in the theory of reasoned action in a study on the intention to use Autonomous Vehicles (AVs). Using need motivation theory, the study constructs descriptive beliefs in TAM and introduces Perceived Safety (PS) into TAM to explain the use intention of potential users of AVs. The participants filled out an online questionnaire after watching a video of AVs driving on an open roadway. The study collected 470 valid questionnaires. Statistical Package for the Social Sciences (SPSS) was used to organize data, and structural equation modeling (SEM) was further used to perform hypotheses testing and effect analysis. The results indicated that PS, Perceived Ease of Use (PEU), and Perceived Usefulness (PU) exert direct effects on use intention. PS and PEU also exerted indirect effects use intention through PU, and the total and indirect effects of PS were found to be greater than those of PEU, which validates the significant influence of PS in TAM. Moreover, the findings validated the role of PS as a descriptive belief in TAM in influencing the PU of inferred beliefs. Autonomous vehicle Technology acceptance model Perceived safety Behavioral intention Artificial intelligence Xie, Lifen verfasserin (orcid)0000-0003-0197-0087 aut Chen, Yiji verfasserin aut Zhang, Yan verfasserin aut Chen, Ying verfasserin aut Gao, Mingjie verfasserin aut Enthalten in Transportation research / F Amsterdam [u.a.] : Elsevier Science, 1998 99, Seite 36-51 Online-Ressource (DE-627)320599191 (DE-600)2019959-4 (DE-576)259485136 1873-5517 nnns volume:99 pages:36-51 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 99 36-51 |
| spelling |
10.1016/j.trf.2023.10.010 doi (DE-627)ELV065800419 (ELSEVIER)S1369-8478(23)00210-3 DE-627 ger DE-627 rda eng 380 VZ Yao, Shenghui verfasserin aut Influence of perceived safety in the technology acceptance model 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study intends to redescribe the Technology Acceptance Model (TAM) combined with belief classification and relation in the theory of reasoned action in a study on the intention to use Autonomous Vehicles (AVs). Using need motivation theory, the study constructs descriptive beliefs in TAM and introduces Perceived Safety (PS) into TAM to explain the use intention of potential users of AVs. The participants filled out an online questionnaire after watching a video of AVs driving on an open roadway. The study collected 470 valid questionnaires. Statistical Package for the Social Sciences (SPSS) was used to organize data, and structural equation modeling (SEM) was further used to perform hypotheses testing and effect analysis. The results indicated that PS, Perceived Ease of Use (PEU), and Perceived Usefulness (PU) exert direct effects on use intention. PS and PEU also exerted indirect effects use intention through PU, and the total and indirect effects of PS were found to be greater than those of PEU, which validates the significant influence of PS in TAM. Moreover, the findings validated the role of PS as a descriptive belief in TAM in influencing the PU of inferred beliefs. Autonomous vehicle Technology acceptance model Perceived safety Behavioral intention Artificial intelligence Xie, Lifen verfasserin (orcid)0000-0003-0197-0087 aut Chen, Yiji verfasserin aut Zhang, Yan verfasserin aut Chen, Ying verfasserin aut Gao, Mingjie verfasserin aut Enthalten in Transportation research / F Amsterdam [u.a.] : Elsevier Science, 1998 99, Seite 36-51 Online-Ressource (DE-627)320599191 (DE-600)2019959-4 (DE-576)259485136 1873-5517 nnns volume:99 pages:36-51 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 99 36-51 |
| allfields_unstemmed |
10.1016/j.trf.2023.10.010 doi (DE-627)ELV065800419 (ELSEVIER)S1369-8478(23)00210-3 DE-627 ger DE-627 rda eng 380 VZ Yao, Shenghui verfasserin aut Influence of perceived safety in the technology acceptance model 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study intends to redescribe the Technology Acceptance Model (TAM) combined with belief classification and relation in the theory of reasoned action in a study on the intention to use Autonomous Vehicles (AVs). Using need motivation theory, the study constructs descriptive beliefs in TAM and introduces Perceived Safety (PS) into TAM to explain the use intention of potential users of AVs. The participants filled out an online questionnaire after watching a video of AVs driving on an open roadway. The study collected 470 valid questionnaires. Statistical Package for the Social Sciences (SPSS) was used to organize data, and structural equation modeling (SEM) was further used to perform hypotheses testing and effect analysis. The results indicated that PS, Perceived Ease of Use (PEU), and Perceived Usefulness (PU) exert direct effects on use intention. PS and PEU also exerted indirect effects use intention through PU, and the total and indirect effects of PS were found to be greater than those of PEU, which validates the significant influence of PS in TAM. Moreover, the findings validated the role of PS as a descriptive belief in TAM in influencing the PU of inferred beliefs. Autonomous vehicle Technology acceptance model Perceived safety Behavioral intention Artificial intelligence Xie, Lifen verfasserin (orcid)0000-0003-0197-0087 aut Chen, Yiji verfasserin aut Zhang, Yan verfasserin aut Chen, Ying verfasserin aut Gao, Mingjie verfasserin aut Enthalten in Transportation research / F Amsterdam [u.a.] : Elsevier Science, 1998 99, Seite 36-51 Online-Ressource (DE-627)320599191 (DE-600)2019959-4 (DE-576)259485136 1873-5517 nnns volume:99 pages:36-51 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 99 36-51 |
| allfieldsGer |
10.1016/j.trf.2023.10.010 doi (DE-627)ELV065800419 (ELSEVIER)S1369-8478(23)00210-3 DE-627 ger DE-627 rda eng 380 VZ Yao, Shenghui verfasserin aut Influence of perceived safety in the technology acceptance model 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study intends to redescribe the Technology Acceptance Model (TAM) combined with belief classification and relation in the theory of reasoned action in a study on the intention to use Autonomous Vehicles (AVs). Using need motivation theory, the study constructs descriptive beliefs in TAM and introduces Perceived Safety (PS) into TAM to explain the use intention of potential users of AVs. The participants filled out an online questionnaire after watching a video of AVs driving on an open roadway. The study collected 470 valid questionnaires. Statistical Package for the Social Sciences (SPSS) was used to organize data, and structural equation modeling (SEM) was further used to perform hypotheses testing and effect analysis. The results indicated that PS, Perceived Ease of Use (PEU), and Perceived Usefulness (PU) exert direct effects on use intention. PS and PEU also exerted indirect effects use intention through PU, and the total and indirect effects of PS were found to be greater than those of PEU, which validates the significant influence of PS in TAM. Moreover, the findings validated the role of PS as a descriptive belief in TAM in influencing the PU of inferred beliefs. Autonomous vehicle Technology acceptance model Perceived safety Behavioral intention Artificial intelligence Xie, Lifen verfasserin (orcid)0000-0003-0197-0087 aut Chen, Yiji verfasserin aut Zhang, Yan verfasserin aut Chen, Ying verfasserin aut Gao, Mingjie verfasserin aut Enthalten in Transportation research / F Amsterdam [u.a.] : Elsevier Science, 1998 99, Seite 36-51 Online-Ressource (DE-627)320599191 (DE-600)2019959-4 (DE-576)259485136 1873-5517 nnns volume:99 pages:36-51 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 99 36-51 |
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10.1016/j.trf.2023.10.010 doi (DE-627)ELV065800419 (ELSEVIER)S1369-8478(23)00210-3 DE-627 ger DE-627 rda eng 380 VZ Yao, Shenghui verfasserin aut Influence of perceived safety in the technology acceptance model 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study intends to redescribe the Technology Acceptance Model (TAM) combined with belief classification and relation in the theory of reasoned action in a study on the intention to use Autonomous Vehicles (AVs). Using need motivation theory, the study constructs descriptive beliefs in TAM and introduces Perceived Safety (PS) into TAM to explain the use intention of potential users of AVs. The participants filled out an online questionnaire after watching a video of AVs driving on an open roadway. The study collected 470 valid questionnaires. Statistical Package for the Social Sciences (SPSS) was used to organize data, and structural equation modeling (SEM) was further used to perform hypotheses testing and effect analysis. The results indicated that PS, Perceived Ease of Use (PEU), and Perceived Usefulness (PU) exert direct effects on use intention. PS and PEU also exerted indirect effects use intention through PU, and the total and indirect effects of PS were found to be greater than those of PEU, which validates the significant influence of PS in TAM. Moreover, the findings validated the role of PS as a descriptive belief in TAM in influencing the PU of inferred beliefs. Autonomous vehicle Technology acceptance model Perceived safety Behavioral intention Artificial intelligence Xie, Lifen verfasserin (orcid)0000-0003-0197-0087 aut Chen, Yiji verfasserin aut Zhang, Yan verfasserin aut Chen, Ying verfasserin aut Gao, Mingjie verfasserin aut Enthalten in Transportation research / F Amsterdam [u.a.] : Elsevier Science, 1998 99, Seite 36-51 Online-Ressource (DE-627)320599191 (DE-600)2019959-4 (DE-576)259485136 1873-5517 nnns volume:99 pages:36-51 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 99 36-51 |
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| title_full |
Influence of perceived safety in the technology acceptance model |
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Yao, Shenghui |
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Transportation research / F |
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eng |
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300 - Social sciences |
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2023 |
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Yao, Shenghui Xie, Lifen Chen, Yiji Zhang, Yan Chen, Ying Gao, Mingjie |
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99 |
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380 VZ |
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Elektronische Aufsätze |
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Yao, Shenghui |
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10.1016/j.trf.2023.10.010 |
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(ORCID)0000-0003-0197-0087 |
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(orcid)0000-0003-0197-0087 |
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380 |
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verfasserin |
| title_sort |
influence of perceived safety in the technology acceptance model |
| title_auth |
Influence of perceived safety in the technology acceptance model |
| abstract |
This study intends to redescribe the Technology Acceptance Model (TAM) combined with belief classification and relation in the theory of reasoned action in a study on the intention to use Autonomous Vehicles (AVs). Using need motivation theory, the study constructs descriptive beliefs in TAM and introduces Perceived Safety (PS) into TAM to explain the use intention of potential users of AVs. The participants filled out an online questionnaire after watching a video of AVs driving on an open roadway. The study collected 470 valid questionnaires. Statistical Package for the Social Sciences (SPSS) was used to organize data, and structural equation modeling (SEM) was further used to perform hypotheses testing and effect analysis. The results indicated that PS, Perceived Ease of Use (PEU), and Perceived Usefulness (PU) exert direct effects on use intention. PS and PEU also exerted indirect effects use intention through PU, and the total and indirect effects of PS were found to be greater than those of PEU, which validates the significant influence of PS in TAM. Moreover, the findings validated the role of PS as a descriptive belief in TAM in influencing the PU of inferred beliefs. |
| abstractGer |
This study intends to redescribe the Technology Acceptance Model (TAM) combined with belief classification and relation in the theory of reasoned action in a study on the intention to use Autonomous Vehicles (AVs). Using need motivation theory, the study constructs descriptive beliefs in TAM and introduces Perceived Safety (PS) into TAM to explain the use intention of potential users of AVs. The participants filled out an online questionnaire after watching a video of AVs driving on an open roadway. The study collected 470 valid questionnaires. Statistical Package for the Social Sciences (SPSS) was used to organize data, and structural equation modeling (SEM) was further used to perform hypotheses testing and effect analysis. The results indicated that PS, Perceived Ease of Use (PEU), and Perceived Usefulness (PU) exert direct effects on use intention. PS and PEU also exerted indirect effects use intention through PU, and the total and indirect effects of PS were found to be greater than those of PEU, which validates the significant influence of PS in TAM. Moreover, the findings validated the role of PS as a descriptive belief in TAM in influencing the PU of inferred beliefs. |
| abstract_unstemmed |
This study intends to redescribe the Technology Acceptance Model (TAM) combined with belief classification and relation in the theory of reasoned action in a study on the intention to use Autonomous Vehicles (AVs). Using need motivation theory, the study constructs descriptive beliefs in TAM and introduces Perceived Safety (PS) into TAM to explain the use intention of potential users of AVs. The participants filled out an online questionnaire after watching a video of AVs driving on an open roadway. The study collected 470 valid questionnaires. Statistical Package for the Social Sciences (SPSS) was used to organize data, and structural equation modeling (SEM) was further used to perform hypotheses testing and effect analysis. The results indicated that PS, Perceived Ease of Use (PEU), and Perceived Usefulness (PU) exert direct effects on use intention. PS and PEU also exerted indirect effects use intention through PU, and the total and indirect effects of PS were found to be greater than those of PEU, which validates the significant influence of PS in TAM. Moreover, the findings validated the role of PS as a descriptive belief in TAM in influencing the PU of inferred beliefs. |
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| title_short |
Influence of perceived safety in the technology acceptance model |
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Xie, Lifen Chen, Yiji Zhang, Yan Chen, Ying Gao, Mingjie |
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