Psychological Improvement in Employee Productivity by Maintaining Attendance System, CSR, Entrepreneurial Intentions and Machine Learning Behavior

Abstract

Worker efficiency is an essential part for the organizational success and affected by many factors but time theft activity along with non-compliances of corporate social responsibilities (CSR) and lack of entrepreneurial intentionsare the leading causes of reduction. Thus, the present study aims to examine the impact of CSR, entrepreneurial intentions and maintains of attendance system on the worker efficiency of manufacturing industry in Malaysia. The purpose of the research also includes the mediating role of machine learning performance among the nexus of CSR, maintains attendance system and worker efficiency. This study has adopted the quantitative methods of data collection and survey questionnaires were used for gathering the data from respondents, and smart-PLS has been used for analysis. The results exposed that CSR, entrepreneurial intentions and maintains of attendance system have a positive association with worker efficiency of manufacturing industry in Malaysia. The outcomes also indicated that machine learning performance of workers positively mediates among the nexus of CSR, maintains of attendance system and worker efficiency. The results also estimated that maintains of attendance system approach has a psychological impact on worker working performances that enhance organizational efficiency and performance. This helps enforce organizational policies and regulations and improve organizational performance through accurate and consistent attendance processing.