A Comparative Analysis of UTAUT and UTAUT 2 in M-Commerce and M-Banking

Background: The debate over the superiority between UTAUT and UTAUT 2 has driven the development of UTAUT 3. However, this latest model is still not the best solution, as several variables remain less influential. Objective: This study aims to determine which UTAUT model is superior in technology acceptance, particularly for m-commerce and m-banking. Methods: Multiple linear regression was used to determine the direction and magnitude of the influence of independent variables on the dependent variable, analyzing key factors affecting the adoption of mobile banking and m-commerce by comparing UTAUT and UTAUT 2. Results: In m-commerce, UTAUT highlights behavioral intention and facilitating conditions, while UTAUT 2 adds habit and price value as key influencing factors. Conclusion: For m-banking, both models are equally effective, but UTAUT 2 is superior due to the strong influence of habit. In m-commerce, UTAUT 2 is also preferable, as price value significantly affects behavioral intention.

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Publication Details

Journal
INTENSIF Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi
Published
2025-08-31
DOI
https://doi.org/10.29407/intensif.v9i2.24179
Primary Topic
Technology Adoption and User Behaviour
Type
article
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article

A Comparative Analysis of UTAUT and UTAUT 2 in M-Commerce and M-Banking

Tri Wulandari Ginting, Joy Nasten Sinaga
INTENSIF Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi
Technology Adoption and User Behaviour
article

A Comparative Analysis of UTAUT and UTAUT 2 in M-Commerce and M-Banking

Tri Wulandari Ginting, Joy Nasten Sinaga
article en

Abstract

Background: The debate over the superiority between UTAUT and UTAUT 2 has driven the development of UTAUT 3. However, this latest model is still not the best solution, as several variables remain less influential. Objective: This study aims to determine which UTAUT model is superior in technology acceptance, particularly for m-commerce and m-banking. Methods: Multiple linear regression was used to determine the direction and magnitude of the influence of independent variables on the dependent variable, analyzing key factors affecting the adoption of mobile banking and m-commerce by comparing UTAUT and UTAUT 2. Results: In m-commerce, UTAUT highlights behavioral intention and facilitating conditions, while UTAUT 2 adds habit and price value as key influencing factors. Conclusion: For m-banking, both models are equally effective, but UTAUT 2 is superior due to the strong influence of habit. In m-commerce, UTAUT 2 is also preferable, as price value significantly affects behavioral intention.

INTENSIF Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem InformasiVol. 9(2)
Openalex Percentile: Top 77%
Technology Adoption and User Behaviour
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A Comparative Analysis of UTAUT and UTAUT 2 in M-Commerce and M-Banking — Tri Wulandari Ginting, Joy Nasten Sinaga · INTENSIF Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi (2025) | TGRS Research Map | TGRS