2021
DOI: 10.1016/j.techsoc.2020.101515
|View full text |Cite
|
Sign up to set email alerts
|

Service transformation under industry 4.0: Investigating acceptance of facial recognition payment through an extended technology acceptance model

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

9
116
1
1

Year Published

2021
2021
2024
2024

Publication Types

Select...
9
1

Relationship

1
9

Authors

Journals

citations
Cited by 139 publications
(127 citation statements)
references
References 66 publications
9
116
1
1
Order By: Relevance
“…This relationship is adapted from the extended UTAUT theory. Researchers suggested the facilitating conditions construct as a significant predictor of IT technology adoption (Zhong et al, 2021). Other studies also have found a meaningful correlation between facilitating conditions and intention to adopt new technologies (Venkatesh et al, 2012;Haris and Sugito, 2015;Maruping et al, 2017).…”
Section: Facilitating Conditionmentioning
confidence: 98%
“…This relationship is adapted from the extended UTAUT theory. Researchers suggested the facilitating conditions construct as a significant predictor of IT technology adoption (Zhong et al, 2021). Other studies also have found a meaningful correlation between facilitating conditions and intention to adopt new technologies (Venkatesh et al, 2012;Haris and Sugito, 2015;Maruping et al, 2017).…”
Section: Facilitating Conditionmentioning
confidence: 98%
“…In a study explaining consumer intention to use biometric facial recognition for payment, Moriuchi (2021) confirmed a trust-attitudeintention hierarchy. Moreover, Zhong et al (2021), using an extended Technology Acceptance Model (TAM), found that perceived enjoyment, perceived ease of use (PEU) and PU positively affect attitude towards FRP, which in turn lead to usage intention. An empirical research seeking to understand the barriers of FRP usage by Liu et al (2021) highlighted that privacy concerns and perceived privacy risk make consumers resistant to using FRP.…”
mentioning
confidence: 99%
“…(4) Moreover, as restaurant precautionary measures can reduce consumers' perceived physical risk, restaurants should provide more measures to reduce the possibilities of infection. Recently, in order to avoid close contact and minimize the risks of coronavirus infection, contactless payment methods like facial recognition payment have been increasingly popular [78]. Besides providing more contactless payment services, restaurants should also regularly carry out COVID-19 disinfection, offer hand sanitizer/divided dining spaces, or use robots to serve, which in turn, may diminish the risk perceptions of consumers and enable them to enjoy more when they are dining out.…”
Section: Managerial Implicationsmentioning
confidence: 99%