Beyond credit cards: A TEP perspective on buy-now-pay-later adoption

As the utilization of modern fintech credit products, such as Buy-Now-Pay-Later (BNPL), continues to grow, there is a growing need to enhance our understanding of their adoption. This study aims to uncover the determinants of BNPL adoption by identifying factors from technological, economical, and psychological (TEP) perspectives. This research examines consumer adoption of BNPL by drawing upon the Unified Theory of Acceptance and Use of Technology (UTAUT) and Self-Determination Theory (SDT). A cross-sectional research design was utilized in this study, and data from 226 participants were analyzed using Partial Least Square-Structural Equation Modeling (PLS-SEM). Further, the study used importance-performance map analysis (IPMA) to identify the importance and performance of each independent variable against the intention to adopt BNPL. The findings support the hypotheses that technological factors, performance expectancy, and effort expectancy significantly influence the intention to adopt BNPL. Moreover, the economic factor, the flexibility of payment, is positively associated with forming a positive attitude toward BNPL adoption. Further, psychological factors, perceived competence, and perceived relatedness positively influence perceived usefulness, which, in turn, positively affects the intention to adopt BNPL. The study offers valuable strategic insights for BNPL service providers to formulate impactful go-to-market strategies for broadening their customer reach.

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Publication Details

Journal
Journal of Global Scholars of Marketing Science
Published
2024-09-09
DOI
https://doi.org/10.1080/21639159.2024.2391282
Citations
12
Primary Topic
Digital Platforms and Economics
Type
article
Field-Weighted Citation Impact
6.66
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article

Beyond credit cards: A TEP perspective on buy-now-pay-later adoption

Abhishek Vilas Sonavane, Ritika Dadra, Chandan Kumar Behera, Srishti Bachwani
12 citations
Journal of Global Scholars of Marketing Science
Digital Platforms and Economics
6.66
article

Beyond credit cards: A TEP perspective on buy-now-pay-later adoption

Abhishek Vilas Sonavane, Ritika Dadra, Chandan Kumar Behera, Srishti Bachwani
article en
12 citations

Abstract

As the utilization of modern fintech credit products, such as Buy-Now-Pay-Later (BNPL), continues to grow, there is a growing need to enhance our understanding of their adoption. This study aims to uncover the determinants of BNPL adoption by identifying factors from technological, economical, and psychological (TEP) perspectives. This research examines consumer adoption of BNPL by drawing upon the Unified Theory of Acceptance and Use of Technology (UTAUT) and Self-Determination Theory (SDT). A cross-sectional research design was utilized in this study, and data from 226 participants were analyzed using Partial Least Square-Structural Equation Modeling (PLS-SEM). Further, the study used importance-performance map analysis (IPMA) to identify the importance and performance of each independent variable against the intention to adopt BNPL. The findings support the hypotheses that technological factors, performance expectancy, and effort expectancy significantly influence the intention to adopt BNPL. Moreover, the economic factor, the flexibility of payment, is positively associated with forming a positive attitude toward BNPL adoption. Further, psychological factors, perceived competence, and perceived relatedness positively influence perceived usefulness, which, in turn, positively affects the intention to adopt BNPL. The study offers valuable strategic insights for BNPL service providers to formulate impactful go-to-market strategies for broadening their customer reach.

Journal of Global Scholars of Marketing ScienceVol. 34(4)
Indian Institute of Management Lucknow (IN)
Openalex Percentile: Top 4%
Digital Platforms and Economics
6.66
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Beyond credit cards: A TEP perspective on buy-now-pay-later adoption — Abhishek Vilas Sonavane, Ritika Dadra, et al. · Journal of Global Scholars of Marketing Science (2024) | TGRS Research Map | TGRS