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

Area of Science:

• Consumer Behavior
• Technology Adoption
• Fintech

Background:

• Smart wearable devices offer diverse applications in health, sports, and finance.
• Consumer adoption of smart wearable payment devices is a growing area of interest.
• Understanding the drivers of adoption is crucial for market growth.

Purpose of the Study:

• To investigate factors influencing the intention to use smart wearable payment devices among Malaysian consumers.
• To extend the Unified Theory of Technology Acceptance and Use of Technology (UTAUT) model with trust and lifestyle compatibility.
• To analyze the adoption of smart wearable payment devices using established and novel methodologies.

Main Methods:

• Cross-sectional survey data collected online from Malaysian consumers.
• Partial Least Squares Structural Equation Modeling (PLS-SEM) for symmetrical analysis.
• Fuzzy Set Qualitative Comparative Analysis (fsQCA) for asymmetrical analysis.

Main Results:

• Ease of use, lifestyle compatibility, and trust significantly influenced the intention to adopt smart wearable payment devices.
• Social influence and facilitating conditions did not show a significant impact on adoption intention.
• The extended UTAUT model provided insights into consumer adoption drivers.

Conclusions:

• Policy and infrastructure development are essential to foster the adoption of smart wearable payment devices.
• Targeted strategies focusing on ease of use, lifestyle integration, and building trust are recommended.
• Future research should explore other contextual factors and longitudinal adoption patterns.