Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Observasi: Jurnal Publikasi Ilmu Psikologi
Karunia Mulya Firdauzy Ahsan
Universitas Negeri Yogyakarta
Physics Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Artificial Intelligence dan Emotional Intelligence sebagai Prediktor Workplace Well-Being pada Karyawan Karunia Mulya Firdauzy Ahsan; Farida Agus Setiawati; Syariful Syariful
Observasi : Jurnal Publikasi Ilmu Psikologi Vol. 4 No. 4 (2026): November : Observasi: Jurnal Publikasi Ilmu Psikologi
Publisher : Asosiasi Riset Ilmu Kesehatan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/observasi.v4i4.2763

Abstract

The development of Artificial Intelligence (AI) has transformed the way employees perform their work and has created both opportunities and challenges for workplace well-being (WWB). Alongside technological change, Emotional Intelligence (EI) represents an important personal resource that may support employees in managing work demands and maintaining positive workplace experiences. This study aims to examine the contribution of AI and EI to WWB among employees. The study used a quantitative survey design involving 86 private-sector employees in Makassar who had experience using AI in their work. Data were collected through online questionnaires using the Workplace Well-Being Questionnaire, Emotional Intelligence Scale, and General Attitudes towards Artificial Intelligence Scale. The analytical framework was changed from mediation analysis to multiple linear regression, with AI and EI positioned as two independent variables and WWB as the dependent variable. Based on the relationships reported in the original dataset, AI was positively associated with WWB (r = 0.578), EI was positively associated with WWB (r = 0.610), and AI and EI were strongly correlated (r = 0.781). The reported structural coefficients also indicate positive effects of AI and EI on WWB. These findings support the interpretation that AI and EI are relevant predictors of workplace well-being.
Co-Authors Farida Agus Setiawati Syariful Syariful