PENGARUH TECHNO-STRESS DENGAN E-TRAINING YANG DIMEDIASI WORK-LIFE BALANCE TERHADAP KEPUASAN KERJA (STUDI PADA KARYAWAN DI PT. ALFA)

Abstract

The company that continues to develop through improving work culture and improvements made by the company. In facing the challenges of the pharmaceutical industry that compete with each other, in an increasingly stringent process in the recording process and ensuring that problems are avoided in the future. This changes the way companies continue to improve the standards of the company to be all digital. However, on the other hand, technological innovations provide changes in employee performance along with the level of technological development. And challenges also change from performance processes that become more complicated and require a fairly detailed understanding. Techno-stress in employees who take E-Training is a significant problem. Based on a survey by (Ayyagari et all, 2011), around 45% of employees who took E-Training reported experiencing quite high Techno-stress , in line with the results of a pre-survey on pharmaceutical employees at PT. ALFA showed that around 71.9% of employees were always connected to technology while at home and this Techno-stress caused 93.8% of these employees to have to frequently increase their work speed due to new technology. This indicates that although E-Training provides many benefits, and requires employees' ability to adapt to technology is a challenge that needs to be overcome. And from the pre-survey data shows a high Work-life balance , but technically there are 45.9% of employees who still have to make calls or messages related to work outside of working hours. So in this study, the researcher wants to examine the relationship between Techno-stress that occurs balanced by E-Training with Work-life balance mediation that can provide employee job satisfaction. The population in this study were employees who were still actively working at the AXZ company, with a sample size of 100 respondents. Sampling using a purposive sampling approach. Then the data analysis in this study was carried out using the Structural Equation Modeling (SEM) approach based on Partial Least Square (PLS) using SmartPLS3.3 software.