Exploring the smart wearable payment device adoption intention: Using the symmetrical and asymmetrical analysis methods

Abstract

The smart wearable device is a new breed of mobile device that offers diversified utilities for health, sport, and finance for consumers worldwide. The current study aims to investigate the provocation of the intention to use smart wearable payment devices among Malaysian consumers. The unified theory of technology acceptance and use of technology (UTAUT) was employed with the cross-sectional survey-based data to explain the adoption of the smart wearable payment device. Furthermore, the UTAUT model was extended with trust and lifestyle compatibility factors to investigate smart wearable payment device adoption. The survey-based data were collected through the online survey and analyzed through the symmetrical modeling approach of partial least squares structural education modeling (PLS-SEM) to evaluate theoretical associations between the study constructs. The fuzzy set qualitative comparative analysis (fsQCA) was employed as an asymmetrical approach. As a result, it was found that the ease of use, lifestyle compatibility, and trust significantly impacted the intention to adopt smart wearable payment devices. However, social influence and facilitating conditions did not support the intention of adopting smart wearable payment devices. Adopting these devices requires policy and infrastructure development to harness the adoption of smart wearable payment devices. This paper is concluded with study limitations and future research suggestions.

Configuration Analysis of Technology Readiness, Technology Acceptance, and Public Satisfaction Regarding Continued Induction Stove Use in Indonesia

“…Based on program implementation studies of new technology, readiness, user acceptance, and satisfaction are the factors that determine sustainability developed of new technologies such as TAM 1; TAM 2; TAM 3 [16], [33], [34], TRAM [35], [36] and UTAUT [17], [37], [38]. The factors that are usually involved in those models are technology readiness, which is related to user readiness and community acceptance of new technology or programs [39], [40].…”

“…Under certain conditions, the introduction and application of a new technology or program may entail many factors that are interrelated and mutually influential (interdependence) to achieve a certain target [16], [17]. That is, the influence of multiple factors is simultaneous, namely, the relationship of each factor to the results is analyzed through the combination of other factor conditions [19], [48].…”

“…In the field of health technology, Nguyen et al [19] applied fsQCA to analyze the acceptance of 19 tracing application technologies for 288 United States respondents. Hayat et al [17] examined user acceptance of smart device-based payment technology. Most research using the fsQCA method is related to the field of information technology, which is experiencing rapid growth; thus, it is relevant to study readiness and acceptance.…”

“…Researchers on the application of technology, both in the field of information technology and non-IT, state that fsQCA can be used to clarify conditions simultaneously (in the form of a combination of conditions) that influence a user's desire to try, use, or buy a technology product that is relatively new. Some researchers also complement the SEM-based correlation analysis [51]- [53] and PLS SEM [17], [18], [54].…”

Predicting the intention and adoption of wearable payment devices using hybrid SEM-neural network analysis

“…They only focused on cognitive factors and technology factors. Likewise, Hayet et al 17 using fuzzy set qualitative comparative analysis studied adoption factor of WPD in Malaysian perspectives, but and failed to use the indirect relationships. Chuah et al 16 researched on WPD adoption in Malaysia incorporating the control variable like age and gender, but did not used new constructs other than TAM and ignored to stress on any particular generation (young generation) cohort.…”