SAE Technical Paper Series 2021
DOI: 10.4271/2021-28-0120
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Role of Battery Charging Infrastructure in Electric Vehicle Adoption in India: An Application of Technology Acceptance Model

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Cited by 3 publications
(1 citation statement)
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“…TAM-based research has also been extended to consider not only the purchase and use of EVs, but also intentions to use charging infrastructure and associated innovations in demand side In the context of EVs, and in the past decade alone, versions of the TAM have proven useful in modelling such things as (a) the predictors of EV purchase intentions [40]; (b) the value of road-testing and experience in shaping use intentions [47]; (c) the role of marketing and promotion in shaping purchase intentions [49]; and (d) the relative acceptability of EVs compared with autonomous vehicles and car-sharing [50]. TAM-based research has also been extended to consider not only the purchase and use of EVs, but also intentions to use charging infrastructure and associated innovations in demand side management [51][52][53]. For example, Wang et al [51] successfully used an extended version of the TAM to model the acceptance of two forms of EV charging scheduling (EVCS) in China.…”
Section: Modelling Public Acceptance Of Evs and Charging Infrastructurementioning
confidence: 99%
“…TAM-based research has also been extended to consider not only the purchase and use of EVs, but also intentions to use charging infrastructure and associated innovations in demand side In the context of EVs, and in the past decade alone, versions of the TAM have proven useful in modelling such things as (a) the predictors of EV purchase intentions [40]; (b) the value of road-testing and experience in shaping use intentions [47]; (c) the role of marketing and promotion in shaping purchase intentions [49]; and (d) the relative acceptability of EVs compared with autonomous vehicles and car-sharing [50]. TAM-based research has also been extended to consider not only the purchase and use of EVs, but also intentions to use charging infrastructure and associated innovations in demand side management [51][52][53]. For example, Wang et al [51] successfully used an extended version of the TAM to model the acceptance of two forms of EV charging scheduling (EVCS) in China.…”
Section: Modelling Public Acceptance Of Evs and Charging Infrastructurementioning
confidence: 99%