Factors Affecting Intention of Consumers in Using Face Recognition Payment in Offline Markets: An Acceptance Model for Future Payment Service

Face recognition payment (FRP), an innovative financial technology service, is a recently developed mode of payment service that has garnered attention in the offline market, particularly in China. However, studies examining the adoption of FRP by consumers are scarce. Therefore, this study proposed...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Dongyan Nan [verfasserIn] Yerin Kim [verfasserIn] Jintao Huang [verfasserIn] Hae Sun Jung [verfasserIn] Jang Hyun Kim [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	face recognition payment financial technology adoption perceived risk relative advantage trust

Übergeordnetes Werk:	In: Frontiers in Psychology - Frontiers Media S.A., 2010, 13(2022)
Übergeordnetes Werk:	volume:13 ; year:2022

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fpsyg.2022.830152

Katalog-ID:	DOAJ047949716

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allfields	10.3389/fpsyg.2022.830152 doi (DE-627)DOAJ047949716 (DE-599)DOAJdaca782ef7cf4ed4a80613b1c5095f00 DE-627 ger DE-627 rakwb eng BF1-990 Dongyan Nan verfasserin aut Factors Affecting Intention of Consumers in Using Face Recognition Payment in Offline Markets: An Acceptance Model for Future Payment Service 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Face recognition payment (FRP), an innovative financial technology service, is a recently developed mode of payment service that has garnered attention in the offline market, particularly in China. However, studies examining the adoption of FRP by consumers are scarce. Therefore, this study proposed a causal model built on the Unified Theory of Acceptance and Use of Technology, and key predictors related to the intention of using FRP were identified. The structural equation model-based results obtained from 305 Chinese participants demonstrated that the intention was most affected by relative advantage. In addition, performance expectancy, effort expectancy, social influence, and perceived risk also had a significant impact. However, trust was found to not significantly affect consumers’ intentions, despite it negatively influencing perceived risk. Thus, the results of this study are expected to provide a set of guidelines for companies regarding the implementation of FRP. face recognition payment financial technology adoption perceived risk relative advantage trust Psychology Dongyan Nan verfasserin aut Yerin Kim verfasserin aut Jintao Huang verfasserin aut Hae Sun Jung verfasserin aut Hae Sun Jung verfasserin aut Jang Hyun Kim verfasserin aut Jang Hyun Kim verfasserin aut Jang Hyun Kim verfasserin aut In Frontiers in Psychology Frontiers Media S.A., 2010 13(2022) (DE-627)631495711 (DE-600)2563826-9 16641078 nnns volume:13 year:2022 https://doi.org/10.3389/fpsyg.2022.830152 kostenfrei https://doaj.org/article/daca782ef7cf4ed4a80613b1c5095f00 kostenfrei https://www.frontiersin.org/articles/10.3389/fpsyg.2022.830152/full kostenfrei https://doaj.org/toc/1664-1078 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_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2086 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_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2022
spelling	10.3389/fpsyg.2022.830152 doi (DE-627)DOAJ047949716 (DE-599)DOAJdaca782ef7cf4ed4a80613b1c5095f00 DE-627 ger DE-627 rakwb eng BF1-990 Dongyan Nan verfasserin aut Factors Affecting Intention of Consumers in Using Face Recognition Payment in Offline Markets: An Acceptance Model for Future Payment Service 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Face recognition payment (FRP), an innovative financial technology service, is a recently developed mode of payment service that has garnered attention in the offline market, particularly in China. However, studies examining the adoption of FRP by consumers are scarce. Therefore, this study proposed a causal model built on the Unified Theory of Acceptance and Use of Technology, and key predictors related to the intention of using FRP were identified. The structural equation model-based results obtained from 305 Chinese participants demonstrated that the intention was most affected by relative advantage. In addition, performance expectancy, effort expectancy, social influence, and perceived risk also had a significant impact. However, trust was found to not significantly affect consumers’ intentions, despite it negatively influencing perceived risk. Thus, the results of this study are expected to provide a set of guidelines for companies regarding the implementation of FRP. face recognition payment financial technology adoption perceived risk relative advantage trust Psychology Dongyan Nan verfasserin aut Yerin Kim verfasserin aut Jintao Huang verfasserin aut Hae Sun Jung verfasserin aut Hae Sun Jung verfasserin aut Jang Hyun Kim verfasserin aut Jang Hyun Kim verfasserin aut Jang Hyun Kim verfasserin aut In Frontiers in Psychology Frontiers Media S.A., 2010 13(2022) (DE-627)631495711 (DE-600)2563826-9 16641078 nnns volume:13 year:2022 https://doi.org/10.3389/fpsyg.2022.830152 kostenfrei https://doaj.org/article/daca782ef7cf4ed4a80613b1c5095f00 kostenfrei https://www.frontiersin.org/articles/10.3389/fpsyg.2022.830152/full kostenfrei https://doaj.org/toc/1664-1078 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_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2086 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_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2022
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allfieldsSound	10.3389/fpsyg.2022.830152 doi (DE-627)DOAJ047949716 (DE-599)DOAJdaca782ef7cf4ed4a80613b1c5095f00 DE-627 ger DE-627 rakwb eng BF1-990 Dongyan Nan verfasserin aut Factors Affecting Intention of Consumers in Using Face Recognition Payment in Offline Markets: An Acceptance Model for Future Payment Service 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Face recognition payment (FRP), an innovative financial technology service, is a recently developed mode of payment service that has garnered attention in the offline market, particularly in China. However, studies examining the adoption of FRP by consumers are scarce. Therefore, this study proposed a causal model built on the Unified Theory of Acceptance and Use of Technology, and key predictors related to the intention of using FRP were identified. The structural equation model-based results obtained from 305 Chinese participants demonstrated that the intention was most affected by relative advantage. In addition, performance expectancy, effort expectancy, social influence, and perceived risk also had a significant impact. However, trust was found to not significantly affect consumers’ intentions, despite it negatively influencing perceived risk. Thus, the results of this study are expected to provide a set of guidelines for companies regarding the implementation of FRP. face recognition payment financial technology adoption perceived risk relative advantage trust Psychology Dongyan Nan verfasserin aut Yerin Kim verfasserin aut Jintao Huang verfasserin aut Hae Sun Jung verfasserin aut Hae Sun Jung verfasserin aut Jang Hyun Kim verfasserin aut Jang Hyun Kim verfasserin aut Jang Hyun Kim verfasserin aut In Frontiers in Psychology Frontiers Media S.A., 2010 13(2022) (DE-627)631495711 (DE-600)2563826-9 16641078 nnns volume:13 year:2022 https://doi.org/10.3389/fpsyg.2022.830152 kostenfrei https://doaj.org/article/daca782ef7cf4ed4a80613b1c5095f00 kostenfrei https://www.frontiersin.org/articles/10.3389/fpsyg.2022.830152/full kostenfrei https://doaj.org/toc/1664-1078 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_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2086 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_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2022
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callnumber-first	B - Philosophy, Psychology, Religion
author	Dongyan Nan
spellingShingle	Dongyan Nan misc BF1-990 misc face recognition payment misc financial technology adoption misc perceived risk misc relative advantage misc trust misc Psychology Factors Affecting Intention of Consumers in Using Face Recognition Payment in Offline Markets: An Acceptance Model for Future Payment Service
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topic_title	BF1-990 Factors Affecting Intention of Consumers in Using Face Recognition Payment in Offline Markets: An Acceptance Model for Future Payment Service face recognition payment financial technology adoption perceived risk relative advantage trust
topic	misc BF1-990 misc face recognition payment misc financial technology adoption misc perceived risk misc relative advantage misc trust misc Psychology
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title	Factors Affecting Intention of Consumers in Using Face Recognition Payment in Offline Markets: An Acceptance Model for Future Payment Service
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title_full	Factors Affecting Intention of Consumers in Using Face Recognition Payment in Offline Markets: An Acceptance Model for Future Payment Service
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title_sort	factors affecting intention of consumers in using face recognition payment in offline markets: an acceptance model for future payment service
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title_auth	Factors Affecting Intention of Consumers in Using Face Recognition Payment in Offline Markets: An Acceptance Model for Future Payment Service
abstract	Face recognition payment (FRP), an innovative financial technology service, is a recently developed mode of payment service that has garnered attention in the offline market, particularly in China. However, studies examining the adoption of FRP by consumers are scarce. Therefore, this study proposed a causal model built on the Unified Theory of Acceptance and Use of Technology, and key predictors related to the intention of using FRP were identified. The structural equation model-based results obtained from 305 Chinese participants demonstrated that the intention was most affected by relative advantage. In addition, performance expectancy, effort expectancy, social influence, and perceived risk also had a significant impact. However, trust was found to not significantly affect consumers’ intentions, despite it negatively influencing perceived risk. Thus, the results of this study are expected to provide a set of guidelines for companies regarding the implementation of FRP.
abstractGer	Face recognition payment (FRP), an innovative financial technology service, is a recently developed mode of payment service that has garnered attention in the offline market, particularly in China. However, studies examining the adoption of FRP by consumers are scarce. Therefore, this study proposed a causal model built on the Unified Theory of Acceptance and Use of Technology, and key predictors related to the intention of using FRP were identified. The structural equation model-based results obtained from 305 Chinese participants demonstrated that the intention was most affected by relative advantage. In addition, performance expectancy, effort expectancy, social influence, and perceived risk also had a significant impact. However, trust was found to not significantly affect consumers’ intentions, despite it negatively influencing perceived risk. Thus, the results of this study are expected to provide a set of guidelines for companies regarding the implementation of FRP.
abstract_unstemmed	Face recognition payment (FRP), an innovative financial technology service, is a recently developed mode of payment service that has garnered attention in the offline market, particularly in China. However, studies examining the adoption of FRP by consumers are scarce. Therefore, this study proposed a causal model built on the Unified Theory of Acceptance and Use of Technology, and key predictors related to the intention of using FRP were identified. The structural equation model-based results obtained from 305 Chinese participants demonstrated that the intention was most affected by relative advantage. In addition, performance expectancy, effort expectancy, social influence, and perceived risk also had a significant impact. However, trust was found to not significantly affect consumers’ intentions, despite it negatively influencing perceived risk. Thus, the results of this study are expected to provide a set of guidelines for companies regarding the implementation of FRP.
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title_short	Factors Affecting Intention of Consumers in Using Face Recognition Payment in Offline Markets: An Acceptance Model for Future Payment Service
url	https://doi.org/10.3389/fpsyg.2022.830152 https://doaj.org/article/daca782ef7cf4ed4a80613b1c5095f00 https://www.frontiersin.org/articles/10.3389/fpsyg.2022.830152/full https://doaj.org/toc/1664-1078
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