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Muhamad Ekhsan
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Talent: Journal of Economics and Business
Published by PT Lentera Ilmu Nusantara
ISSN : -     EISSN : 30316383     DOI : https://doi.org/10.59422/jeb.v1i01
Core Subject : Economy, Science,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance
Talent: Journal of Economics and Business, published by Lentera Ilmu Nusantara. Talent: Journal of Economics and Business accommodates the publication of research results in the field of Business and Economics conducted by lecturers as a manifestation of the Tri Darma of Higher Education. Talent: Journal of Economics and Business is an electronic journal that is professionally managed using the Open Journal System, published 4 times a year, namely in March, June, September and December.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 1 Documents
 1 
Search results for , issue "Vol. 4 No. 01 (2026): March 2026" : 1 Documents clear
The Role of Employee Well-Being and Work-Life Balance in Driving Adaptive Performance in Manufacturing Companies Kusuma, Mita Sri; Sapruwan, Muhamad
Talent: Journal of Economics and Business Vol. 4 No. 01 (2026): March 2026
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/jeb.v4i01.1186

Abstract

This study aims to analyze the effect of Employee Well-Being and Work–Life Balance to Adaptive Performance manufacturing company employees. The dynamic changes in the work environment require manufacturing employees to possess high adaptive performance. Psychological well-being and work–life balance are considered important factors in supporting employees' adaptability. This study aims to examine the effect of employee well-being and work–life balance on adaptive performance among manufacturing employees in the Bekasi area. This study employs a quantitative approach using a survey method through an online questionnaire. Convenience sampling was applied, resulting in 65 respondents. Data analysis is planned to be conducted using Structural Equation Modeling (SEM) with a Partial Least Square (PLS) approach. The findings of this study are expected to contribute theoretically to organizational behavior literature and practically to manufacturing companies in improving employees' adaptive performance.

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