Positive and negative valences, personal innovativeness and intention to use facial recognition for payments

Palash, Md. Abu Saeed; Talukder, Md. Shamim; Islam, A. K. M. Najmul; Bao, Yukun

doi:10.1108/imds-04-2021-0230

Cited by 38 publications

(7 citation statements)

References 139 publications

(228 reference statements)

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“…Personal innovation in technology (i.e., a person's propensity to experiment with new technologies) appeared to be insignificant in explaining intention. These findings are also inconsistent with those of previous studies [ 75 , 76 ]. There are several possible reasons for these contradictory results.…”

Section: Discussioncontrasting

confidence: 99%

Modelling the mass consumption potential of Plant Based Meat: Evidence from an emerging economy

Yang,

Reza,

Yang

et al. 2024

Heliyon

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Section: Discussioncontrasting

confidence: 99%

Modelling the mass consumption potential of Plant Based Meat: Evidence from an emerging economy

Yang,

Reza,

Yang

et al. 2024

Heliyon

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“…On online channels, many people quickly express their opinions about experience goods like eagerly anticipated movies or highly regarded restaurants (Mishra and Satish, 2016). Since hedonic benefits provide consumers with an emotive experience, they may produce idiosyncratic feelings such as satisfaction, denoting a comprehensive evaluation of the extent to which customers experience contentment and hold positive emotional perceptions, as demonstrated in Table 1 (Palash et al, 2022;Flint et al, 2011). Hence, we argue that:…”

Section: Hedonic Benefitsmentioning

confidence: 98%

Assessing user benefits and privacy concerns in utilitarian and hedonic mobile augmented reality apps

Qin,

David,

Harun

et al. 2023

IMDS

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PurposeThe application of mobile augmented reality (MAR) for enhancing user experiences and consumer patronizing intention has been the focus of recent MAR literature. Few studies examine the differences between apps. This study fills the research gap by examining how consumers assess their experiences with different MAR applications and how their decision-making process is performed, particularly in the setting of smartphones.Design/methodology/approachA web-based online survey was administered to collect data on consumers' perceptions of two different MAR apps: utilitarian and hedonic apps. Reliability and validity of the measurement scales, non-response bias and comment method bias were assessed. With the support of measurement model, partial least square (PLS) was employed to test the research hypotheses.FindingsThis study reveals that the technological attributes of augmented reality (AR) apps have significant effects on consumer perceptions of their utilitarian and hedonic benefits, including interactivity, visual quality, service quality, technicality and aesthetics. Moreover, this study shows that consumers of hedonic apps place more importance on their enjoyment with the MAR app; consumers of utilitarian apps focus more on the accrued functional values. The findings provide practical insights for retailers in AR marketing and application development in the MAR environment.Originality/valueThis study provides a comprehensive viewpoint for analyzing ongoing use and purchase intentions simultaneously in a unified theoretical framework. In addition, it compares different types of MAR apps: hedonic and utilitarian. Furthermore, it is one of the first few studies attempting to provide a comprehensive understanding of the predictive role of MAR technologies by incorporating privacy concerns into the research model based on user and gratification framework.

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“…Most customers opt to shop in smart stores to save checkout waiting time. If customers spend a great deal of time completing purchases, they will opt for an alternative efficient shopping environment (Chen et al, 2018;Chiu et al, 2014;Collier et al, 2015;Palash et al, 2022). The potential benefits for customers may be a quicker transaction, shopping efficiency and time savings.…”

Section: Imds 1233mentioning

confidence: 99%

Utilitarian and/or hedonic shopping – consumer motivation to purchase in smart stores

Chang

Hsu

Chen

et al. 2023

IMDS

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PurposeRecently, smart retail technology has emerged as an innovative technology that can improve consumer motivation and behavior in smart stores. Although prior studies have investigated factors influencing the adoption of smart retail technology, to the authors’ knowledge, no previous work has investigated the determinants of purchase intentions. The ultimate goal for retailers should be shopping, not technology adoption. However, traditional brick-and-mortar stores and theories focus on investing in utilitarian factors to attract customers. This study proposes that hedonic motivation should also play an important role, as new technologies may arouse customer curiosity and increase pleasant experiences. Therefore, the purpose of this study is to explore utilitarian and hedonic motivations that promote customers' purchase; intentions in smart stores. Specifically, the authors address the research questions: (1) What are the constituents of utilitarian motivation? (2) What are the constituents of hedonic motivation? (3) What are the factors that influence customers' purchase intentions? By answering the questions, the findings help retailers understand how to motivate customers to make purchases in smart stores.Design/methodology/approachTo investigate consumer motivation and purchase intentions, the customers who made purchases in smart stores were invited to participate in the questionnaire survey. This study collected 307 data in smart retail settings. Partial least squares (PLS) software was used to assess the reliability, validity and the paths and significance of all hypotheses.FindingsThe results show that perceived ease of use directly and indirectly influences purchase intentions through utilitarian and hedonic motivations. Utilitarian motivation is a formative second-order construct comprised of merchandise price, merchandise quality, location convenience, speed of shopping and product recommendation. Hedonic motivation is a reflective second-order construct composed of control, curiosity, joy, focused immersion and temporal dissociation. The findings provide insights into the successful implementation of smart retail technology and offer retailers to better understand consumer motivation and purchase intentions in smart stores.Originality/valueThis study is the first to examine how consumer motivation influences purchase intentions in smart stores. This study posits and verifies the extended hedonic system acceptance model (HSAM) to explain consumer motivation for shopping in smart retail settings. This study also models the original first-order utilitarian and hedonic constructs as second-order formative and reflective constructs, respectively. Utilitarian motivation regarding functional benefits is developed based on the 5Ps of marketing and situational factors, while hedonic motivation regarding pleasant experiences is proposed based on cognitive absorption.

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Positive and negative valences, personal innovativeness and intention to use facial recognition for payments

Cited by 38 publications

References 139 publications

Modelling the mass consumption potential of Plant Based Meat: Evidence from an emerging economy

Modelling the mass consumption potential of Plant Based Meat: Evidence from an emerging economy

Assessing user benefits and privacy concerns in utilitarian and hedonic mobile augmented reality apps

Utilitarian and/or hedonic shopping – consumer motivation to purchase in smart stores

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