Exploring The Relationship Between Technostress, Quality of Work Life, and Performance

Abstract—In recent years, the implementation of ICT in various company has become more and more popular. Although its adoption and implementation have a good impact on the company's business, it also has a negative impact on the employees, which are also known as technostress. The goal of this research is to examine the influence of technostress that affects the employee's work performance. This paper collected data to 446 participants that come from a different area, such as JABODETABEK Indonesia. The study is done online, using Google Form April 28, 2024, to 30 November 2024. And be processed using Partial Least Squares Structural Equation Modeling (PLS-SEM), with using Smart PLS 4.0 for assessing the quality of each variable by measuring data validation and reliability. Several variables will be examined such as techno-overload, techno-invasion, techno-uncertainty, technostress, productivity, quality of work life, exhaustion, job satisfaction, and work performance. This research is using the non-probability purposive sampling with criteria as employees experienced challenges when implementing a new set of skills required for learning new software technologies. This research findings show that 11 out of the 11 hypotheses have significant impact.摘要——近年来，信息通信技术（ICT）在各类企业中的落地应用愈发普及。尽管此类技术的应用与部署可为企业经营带来积极效益，但同时也会给员工带来负面影响，即技术压力（technostress）。本研究旨在探究技术压力对员工工作绩效的影响路径。本次研究共收集了来自印度尼西亚雅加达博戈德塔贝克（JABODETABEK）等多个地区的446名受访者的数据，调研于2024年4月28日至2024年11月30日期间以线上形式开展，采用谷歌表单（Google Form）作为数据收集工具。本研究采用偏最小二乘结构方程模型（Partial Least Squares Structural Equation Modeling, PLS-SEM）开展数据分析，并借助SmartPLS 4.0工具，通过数据验证与信度检验对各变量的质量进行评估。本次研究将考察多项变量，包括技术过载（techno-overload）、技术侵入（techno-invasion）、技术不确定性（techno-uncertainty）、技术压力、工作生产率、工作生活质量、职业倦怠、工作满意度以及工作绩效。本研究采用非概率目的性抽样方法，抽样标准为：员工在学习新软件技术所需的相关技能过程中曾遭遇挑战。研究结果显示，全部11条研究假设均存在显著影响效应。