Extended UTAUT2-Based Analysis of User Acceptance of EIGER’s Mobile Shopping App
DOI:
https://doi.org/10.59141/jrssem.v4i7.782Keywords:
user acceptance;, EIGER;, UTAUT2;, mobile shopping appAbstract
This study investigates user acceptance of the EIGER Adventure mobile application, designed to enhance online shopping convenience for outdoor gear enthusiasts in Indonesia. The research employs an extended UTAUT2 model, incorporating Perceived Risk and Trust variables, to analyze factors influencing consumer behavior. A purposive sampling method was used to collect data from 478 respondents who are active users of the EIGER application. The research adopts a quantitative approach, with data analyzed using Structural Equation Modeling (SEM) through SmartPLS 4. The results indicate that Social Influence and Trust significantly affect Behavioral Intention to use the app, while Habit influences both Behavioral Intention and Use Behavior. Furthermore, Behavioral Intention was found to have a positive impact on Use Behavior, suggesting that users’ intention to use the app strongly predicts actual usage behavior. These findings offer valuable insights into the factors driving user acceptance and app adoption, emphasizing the importance of Trust and Social Influence in shaping consumer behavior. The study also highlights the role of Habit in both the intention to use and actual usage of mobile shopping apps. Based on these findings, the study provides recommendations for strategies to improve user engagement and optimize the development of mobile shopping apps, particularly in the outdoor gear industry, to better meet consumer expectations and enhance the overall shopping experience
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Primanola Perdananti, Siska Noviaristanti
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International. that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
