What really predicts digital competence? Evidence from online journalists

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Authors: Hendra Alfani, Alamsyah, Agustinus Rustanta, Dian Novitasari
Cited by: 0
References: 57

Abstract

This study examines the predictors of digital competence among online journalists in Indonesia, focusing on psychological rather than structural determinants. Drawing on survey data from 124 respondents and analyzed through multiple regression with interaction modeling, the research investigates how motivation, news efficacy, and professional certification influence journalist” digital competence. The result show that motivation and news efficacy are strong and significant predictors, while age, education, and institutional factors have no meaningful effect. These findings highlight that digital competence is shaped less by formal structures and more by intrinsic motivation and efficacy beliefs. Guided by Self-Determination Theory and Social Cognitive Theory, this study advances understanding of digital competence as both a psychological and professional construct in the Global South. Practically, it recommends integrating technical training with psychological reinforcement, mentoring, and peer learning to enhance journalist” adaptability and resilience in the digital era.

Fields of Study & Subjects

Journalism and Media Studies Digital literacy in education Media Studies and Communication

Publication details

Journal / source
Media Asia
Volume
53
Issue
1
Pages
87–106
Publication date
2 January 2026
Language
EN