EXAMINING THE MODERATING EFFECT OF EMPLOYEE READINESS ON TECHNOLOGY-DRIVEN PERFORMANCE IN THE MANUFACTURING SECTOR

Authors

DOI:

https://doi.org/10.35631/JISTM.1142014

Keywords:

Advanced Robotic, Artificial Intelligence (AI), Employee Performance, Electronic Monitoring System, Employee Readiness, Technology Innovation

Abstract

Research points that most technological development not innovative and this effect negatively on employee performance. New technological innovation will help employees to work effectively and increase their output dramatically. The aim of this study is to explore more information towards the technology innovation that influence the employee performance. This study examines the relationship between advanced robotics, artificial intelligence (AI) and electronic monitoring system with employee performance in manufacturing industry can be moderated by employee readiness. In addition, this research is intended to examine the relationship between several variables in a quantitative technique. In contrast, 384 respondents are the sample size. Therefore, this study seeks to gather at least 384 respondents from targeted respondents. The unit of research is individual. This research uses convenience sampling since it is readily accessible for the sample to be collected. To conduct this research, researcher use the primary data collection method to gather the data. The questionnaire method is recorded in this research instruments and measurement to collect quantitative data. Moreover, the data analysis is discussed in five studies such as frequency analysis, descriptive analysis, reliability analysis, Pearson correlation analysis and multiple regression analysis. There are six hypotheses tested in this study. In conclusion, there were only four accepted hypotheses and two rejected hypotheses.

 

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Published

2026-03-15

How to Cite

Subramaniam, M., Salleh, S. S. M. M., & Yusuf , D. H. M. (2026). EXAMINING THE MODERATING EFFECT OF EMPLOYEE READINESS ON TECHNOLOGY-DRIVEN PERFORMANCE IN THE MANUFACTURING SECTOR. JOURNAL INFORMATION AND TECHNOLOGY MANAGEMENT (JISTM), 11(42), 222–242. https://doi.org/10.35631/JISTM.1142014