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INDONESIA
Journal of Digital Business and Global Economy
Published by Asosiasi Transformasi Digital dan Bisnis Indonesia
ISSN : -     EISSN : 30908760     DOI : https://doi.org/10.64243/JODIGBI.01.2
Core Subject : Economy,
Economics, Econometrics & Finance
Journal of Digital Business and Global Economy (JODIGBI) is an International Journal, published since 2025. Registered with code of E-ISSN 3090-8760. JODIGBI open-access, and peer-reviewed journal dedicated to publishing high-quality research in the fields of economics and business. This journal serves as a platform for scholars, researchers, and professionals to share their latest findings, theoretical advancements, and practical insights that contribute to the development of global economic and business landscapes. Focus and Scope Journal of Digital Business and Global Economy (JODIGBI) covers all topics related to economics and business. JODIGBI is published six times a year, namely February, April, June, August, October and December, which is published by Asosiasi Transformasi Digital dan Bisnis Indonesia
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis dan Menejemen Intetrnasional
Articles 71 Documents
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Explaining the Adoption Gap in Digital Learning Platforms: The Role of Task-Technology Fit, Performance Expectancy, and Trust Irfan Sholeh; Muhammad Awaluddin
Journal of Digital Business and Global Economy Vol. 2 No. 3 (2026): Journal of Digital Business and Global Economy
Publisher : Asosiasi Transformasi Digital Dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64243/JODIGBI.02.3.20

Abstract

Tempo Institute is a digital learning platform in Indonesia that is facing the challenge that most registered users do not convert into active users. The gap between registered users and active users in this study is referred to as the adoption gap. This study aims to analyze the adoption gap at Tempo Institute by testing an integrated model that combines UTAUT2, Task-Technology Fit (TTF), and Trust. Data were collected from 400 registered users using PLS-SEM techniques to interpret and analyze the data assisted by SmartPLS 4 software. Based on the analysis of this study, Performance Expectancy is the strongest driver of user registration intention, followed by Trust and Task-Technology Fit. But, these three factors have limitations in maintaining long-term active users. Habits and Enabling Conditions are factors that determine whether users remain active on the platform. The main theoretical contribution of this study is the TTF-UTAUT2 Trust Acquisition-Retention Duality Framework, which proposes that the factors that motivate someone to register on a digital learning platform are fundamentally different from the factors that keep them actively using the platform. The differences are important to understand and close the adoption gap in digital learning platforms, especially at Tempo Institute.

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