Guest editorial

Shiau, Wen‐Lung; Pu, Xiaodie; Ray, Soumya; Chen, Charlie C.

doi:10.1108/imds-12-2020-727

Cited by 2 publications

(1 citation statement)

References 21 publications

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“…This (Chin et al, 2003), PLS-SEM relaxes the assumptions of a normal distribution (Hair et al, 2019;Shiau et al, 2019Shiau et al, , 2020Wold, 1982). According to skewness and kurtosis values, if a calculated z-value exceeds the commonly used critical ratio and the absolute value is 2.58 (0.01 significance level) or 1.96 (0.05 significance level), then the distribution is nonnormal (Hair et al, 2019)…”

Section: Methodsmentioning

confidence: 99%

Insights into customers' psychological mechanism in facial recognition payment in offline contactless services: integrating belief–attitude–intention and TOE–I frameworks

Shiau

Liu

Zhou

et al. 2023

INTR

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PurposeFacial recognition payment is an emerging mobile payment method that uses human biometrics for personal identification. The purpose of this study is to examine how users' salient beliefs regarding the technology–organization–environment–individual (TOE–I) dimensions affect their attitudes and how attitudes subsequently influence the intention to use facial recognition payment in offline contactless services.Design/methodology/approachThis study comprehensively investigates customers' decision-making psychological mechanism of using facial recognition payment by integrating the belief–attitude–intention (B–A–I) model and the extended TOE–I framework. Data from 420 valid samples were collected through an online survey and analyzed using partial least squares structural equation modeling.FindingsResearch results indicate that convenience and perceived herd exert positive effects on trust and satisfaction. Meanwhile, familiarity has a significantly positive effect only on trust but not on satisfaction. In contrast, perceived privacy risk exhibits a negative effect on both trust and satisfaction. Trust and satisfaction positively influence the intention to use facial recognition payment. Unexpectedly, self-awareness negatively moderates the effect of satisfaction on intention to use, but its effect on the relationship between trust and intention to use is non-significant.Originality/valueTo the best of the authors’ knowledge, this study is one of the early studies that explicate customers' psychological mechanism in facial recognition payment in offline contactless services through an understanding of the B–A–I causal linkages with the identification of users' perceptions from a comprehensive context-specific perspective. This study enriches the literature on facial recognition payment and explores the moderating role of self-awareness in the relationship between users' attitudes and intention to use, thereby revealing a complex psychological process in the usage of offline facial recognition payment systems.

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Section: Methodsmentioning

confidence: 99%

Insights into customers' psychological mechanism in facial recognition payment in offline contactless services: integrating belief–attitude–intention and TOE–I frameworks

Shiau

Liu

Zhou

et al. 2023

INTR

Self Cite

View full text Add to dashboard Cite

show abstract

Employees' Behavioral Intention to Adopt Facial Recognition Payment to Service Customers

Shiau,

Liu,

Cheng

et al. 2024

Journal of Organizational and End User Computing

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Facial recognition payment (FRP) is a crucial technology for digital transformation among merchants. However, few studies have explored employees' adoption of FRP. This study combined the status quo bias theory and the value-based adoption model to investigate the critical factors affecting employees' behavioral intention of FRP, including switching benefits, job insecurity, colleague opinion, top management support, and inertia. The results show that switching benefits, job insecurity, colleague opinion, top management support, and inertia are essential factors that determine employees' behavioral intention of FRP. Surprisingly, the perceived customer value negatively moderates the relationship between perceived value and behavioral intention. Furthermore, the authors provide rigorous endogeneity tests for the research model. Overall, this study contributes to the status quo bias and value-based adoption model theories and literature in organizations' digital transformation and offers valuable insights to eliminate resistance and encourage the active use of FRP.

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Guest editorial

Cited by 2 publications

References 21 publications

Insights into customers' psychological mechanism in facial recognition payment in offline contactless services: integrating belief–attitude–intention and TOE–I frameworks

Insights into customers' psychological mechanism in facial recognition payment in offline contactless services: integrating belief–attitude–intention and TOE–I frameworks

Employees' Behavioral Intention to Adopt Facial Recognition Payment to Service Customers

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