Psychological improvement in Employee Productivity by Maintaining Attendance System using Machine Learning Behavior

Abstract

For a very long time, researchers, educationists, practitioners, and psychologists have tried to conduct extensive research on employee productivity at the workplace. It was firmly believed that positive traits of the employees positively affect the performance of employees at the workplace and, at the same time, increase the productivity of the organization. A few organizations have changed their organizational policies to improve employee performance by identifying individuals' positive traits. Positive psychology (PS), unlike traditional psychology, focuses on the positive traits of the individuals rather than on their negative aspects. Hence, this paper intends to analyze the important role of PS in improving employee productivity as well as analyze the psychological improvement in Employee Productivity by Maintaining Attendance Systems, Implementing Corporate Social Responsibility (CSR activities), Entrepreneurial Intentions (EI), and Machine Learning Behavior (MLB). This study paper investigates the role of attendance systems, CSR, EI, and MLB in enhancing the employees' productivity in a positive manner, which will eventually increase organizational productivity. This study proposes a research framework and hypothesis that explains the relationship between employee productivity and organizational attendance system, CSR, EI, and MLB. For this study, a questionnaire was prepared and distributed among the employees working in the selected organizations. These data verify the validity of the proposed hypothesis and research framework. Statistical approaches were employed to analyze the results of the proposed hypothesis. Results of the study found that by maintaining an attendance system, implementing CSR, EI, and MLB, employee performance can be improved positively, thereby increasing organizational productivity.

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