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

Area of Science:

• Organizational Psychology
• Positive Psychology
• Human Resource Management

Background:

• Traditional psychology often focuses on negative aspects, while positive psychology emphasizes individual strengths.
• Employee productivity is crucial for organizational success and has been extensively researched.
• Organizations are increasingly adopting strategies to leverage positive employee traits for performance enhancement.

Purpose of the Study:

• To analyze the role of positive psychology in improving employee productivity.
• To investigate the impact of attendance systems, CSR, EI, and MLB on psychological improvement and productivity.
• To propose a research framework and hypotheses linking employee productivity to these factors.

Main Methods:

• A questionnaire was developed and distributed to employees in selected organizations.
• Statistical approaches were utilized to analyze the collected data.
• The study validated a research framework and hypotheses through empirical data.

Main Results:

• Maintaining attendance systems positively impacts employee performance.
• Implementing Corporate Social Responsibility (CSR) activities enhances employee productivity.
• Entrepreneurial Intentions (EI) and Machine Learning Behavior (MLB) were found to improve employee performance and organizational productivity.

Conclusions:

• Positive psychology principles can be effectively applied to enhance employee productivity.
• Attendance systems, CSR, EI, and MLB are significant drivers of improved employee and organizational performance.
• The study validates the proposed framework, highlighting practical applications for organizations seeking to boost productivity.