Let’s face it: Are customers ready for facial recognition technology at quick-service restaurants?

Ciftci, Olena; Choi, Eun-Kyong; Berezina, Katerina

doi:10.1016/j.ijhm.2021.102941

Cited by 49 publications

(31 citation statements)

References 43 publications

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“…functionality) during their shopping experience (Çavus ¸o glu et al, 2020;Jones et al, 2006). Retailers have sought to increase consumers' hedonic shopping value and implementing innovative payment systems like FRP can be an effective approach because of the potential enjoyability and fun associated with it (Ciftci et al, 2021). In addition, hedonic shopping value appears to be a strong motivator of retail shoppers' satisfaction (Atulkar and Kesari, 2017;Kesari and Atulkar, 2016).…”

mentioning

confidence: 99%

Consumer attitudes toward facial recognition payment: an examination of antecedents and outcomes

Dang

Nguyen

et al. 2021

IJBM

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PurposeFacial recognition payment (FRP) has been recently introduced as a new cashless payment method in retail store context. Anchored on information systems and consumer theories, this research aims to investigate the key antecedents and outcomes of consumer attitudes toward this innovative payment method.Design/methodology/approachThis research used a survey method to obtain data from 795 consumers at retail stores in China. The data were then analyzed by different statistical methods, including descriptive statistics, reliability analysis and structural equation modeling.FindingsResults show that perceived usefulness, perceived ease of use and perceived innovativeness positively affect consumer attitudes toward FRP, while perceived risk negatively impacts such attitudes. In addition, consumer attitudes enhance store satisfaction, and hedonic shopping value plays a mediating role in this relationship.Practical implicationsThis study encourages retailers to adopt FRP that can enhance consumer hedonic shopping value and satisfaction.Originality/valueThis study contributes to the literature by explaining both the antecedents and the outcomes of consumer attitudes toward FRP in retail context. The study also provides fresh insights into how such attitudes can improve consumers' shopping values and satisfaction in an emerging market.

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confidence: 99%

Consumer attitudes toward facial recognition payment: an examination of antecedents and outcomes

Dang

Nguyen

et al. 2021

IJBM

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“…Although the UTAUT model could achieve successful outcomes in the adoption processes of a variety of IS/IT technologies in different cultural settings, it does not show a notable difference with TAM [10] and TPB [11] in terms of revealing factors of impulsive behavior after the COVID-19 pandemic phenomenon. Furthermore, precedents of UTAUT-based mobile application research have been well conducted with a wide range of subjects including mobile commerce [12], mobile banking and payment [13,14], ehealth and hospitals [15,16], and some restaurants and hotels [3,17,18]. The potential mechanisms as moderators and mediators of intervention effects within are not included in the explanatory variables that explain intentions to use mobile applications.…”

Section: -1-mobile Application Implication In Business Contextmentioning

confidence: 99%

“…This construct has been found to have a significant influence in deciding technological acceptability and use. Following this, previous research has postulated and evaluated the beneficial impact of perceived pleasure on mobile internet uptake and mobile banking [3,9]. Price Value (PV) refers to the consumer's cognitive tradeoff between perceived advantages and the monetary cost of such benefits.…”

Section: Definition Of Constructs In the Utaut-2mentioning

confidence: 99%

“…Experience will recall it in a different way, but IP drives innovation in a proactive way, which embeds cognitive knowledge in further development of innovative ideas and the intention of TNA adoption. Performance Expectancy (PE) 1 Effort Expectancy (EE) 2 Social Influence (SI) 3 Facilitating Conditions (FC) 4 Hedonic Motivation (HM) 5 Price Value (PV) 6 Habit Behavior (HB) 7 Behavioural Intention 14…”

Section: -2-structural Model and Hypothesis Proposedmentioning

confidence: 99%

“…In regards to mobile applications, previous research has investigated mobile applications in various tourism and hospitality industries using a variety of theories, such as travel application booking using the Theory of Planned Behavior (TPB) [1] and smart hotel by using the Technology Acceptance Model (TAM) [2]. Other studies have used the UTAUT as a research model regarding the application of facial recognition systems (FRS) in quick-service restaurants [3]. More research is therefore needed because relatively few studies have investigated mobile app adoption in the context of restaurant, hotel, and attraction search and notification, particularly employing UTAUT-2 as a theoretical framework during the COVID-19 pandemic between 2020 and 2022.…”

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confidence: 99%

See 2 more Smart Citations

Factors Affecting SMEs' Intention to Adopt a Mobile Travel Application based on the Unified Theory of Acceptance and Use of Technology (UTAUT-2)

et al. 2022

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This study is part of a government research project which aims to synthesise the current evidence on the factors affecting the intention of mobile application adoption called ‘Tripper Notifier Application’ (TNA) for the hospitality and tourism industrial sector in Thailand. The focus is on small and medium enterprises (SMEs), which emphasize restaurants, hotels, and attraction sites. The present article examines various factors influencing the intention to use such applications by employing the Unified Theory of Acceptance and Use of Technology 2 (UTAUT-2) as the theoretical underpinning of this research paradigm. Using 84 selected research papers in Scopus published between 2020 and 2022, A thematic analysis incorporating a grounded theory approach to systematically generate themes was conducted, and the findings found three main themes, including business transformation capabilities (BTC), digital transformation capabilities (DTC), and personal innovativeness (PI), as an extension of UTAUT-2 as mediator and moderator variables. To this end, the study fills the research gaps and extends the UTAUT-2 framework by including an initiative of twelve inside attributes-based lines, including performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, habit behavior, behavioral intention, and use behavior, together with three moderators: age, gender, and experience. Finally, the context dimensions of the UTAUT-2 extensions were mapped to highlight all the constructs of the TNA adoption framework for future research directions. The novel contribution of this study is to fill the gap with both theoretical and practical knowledge. On the theoretical level, this study constitutes constructs based on UTAUT-2 theory as a research-based setting to fill a gap in research. On the practical level, it provides insights and information about new capabilities that SME owners, managers, and practitioners should consider in order to differentiate their own capabilities. Doi: 10.28991/esj-2021-SP1-014 Full Text: PDF

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Acceptance of or resistance to facial recognition payment: A systematic review

Yu,

Wang,

Bian

et al. 2024

J of Consumer Behaviour

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With increasing evidence supporting the use of biometric identification methods for authentication, this study aims to enhance our understanding of the factors influencing the acceptance of and resistance to facial recognition payment (FRP) systems. To provide a comprehensive review of these factors, we conducted a systematic literature review (SLR) of empirical studies. We examined 22 key research articles from an initial pool of 1372 publications, identifying 37 factors that influence consumer acceptance or resistance to FRP. These factors were categorized into usage‐related aspects, attitudes and evaluations, user‐related traits, privacy and security concerns, and other factors. Our findings reveal that the most frequently cited factors include performance expectancy, effort expectancy, perceived usefulness, and perceived ease of use. These factors are crucial in contexts where FRP can increase productivity by providing prompt information and effective assistance. This research proposes a collective model for understanding the determinants of FRP acceptance or resistance, integrating theoretical frameworks and empirical findings. The model emphasizes the context‐dependency of user acceptance, highlighting the importance of addressing both technological and psychological factors. It incorporates usage characteristics, user characteristics, and privacy and security concerns, which are mediated by attitudes and evaluations. The proposed model provides a comprehensive framework for understanding and addressing the factors influencing acceptance of and resistance to FRP, guiding FRP service providers in developing effective strategies to increase user adoption, with future research needed to refine and assess the model further.

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Let’s face it: Are customers ready for facial recognition technology at quick-service restaurants?

Cited by 49 publications

References 43 publications

Consumer attitudes toward facial recognition payment: an examination of antecedents and outcomes

Consumer attitudes toward facial recognition payment: an examination of antecedents and outcomes

Factors Affecting SMEs' Intention to Adopt a Mobile Travel Application based on the Unified Theory of Acceptance and Use of Technology (UTAUT-2)

Acceptance of or resistance to facial recognition payment: A systematic review

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