Investigating the Impact of Employee Attendance on Employee Engagement

Introduction

The purpose of this case study is to explore the relationship between employee attendance and employee engagement. For the purpose of this study, employee attendance will be defined as the regularity with which employees show up for work, as well as the number of absences taken throughout the year. Employee engagement will refer to the level of enthusiasm and investment that employees show in their work.

Background

Employee attendance system is an important measure of performance in most organizations. It reflects an employee’s commitment to their job, as well as their ability to manage their time effectively. In some industries, there are legal requirements around the maximum number of absences an employee can have in a certain period of time. Beyond that, employee attendance can have an impact on the overall work ethic in the office, as well as the morale of the team.

Attendance is also closely related to employee engagement. Employee engagement is the level of enthusiasm and commitment that employees show for the company. Research has found that motivated, engaged employees are typically more productive and efficient than those who are not.

Objectives

The aim of this study is to explore the relationship between employee attendance and employee engagement. Specifically, this study will evaluate whether or not there is a correlation between the two variables.

Methodology

This case study will be conducted using a qualitative approach. Data will be collected in the form of semi-structured interviews with both employees and managers. The interviews will focus on exploring the perceptions of both parties in relation to employee attendance and engagement.

Data Collection

The data for this case study will be collected in the form of interviews. A total of 8 interviews will be conducted with 4 employees and 4 managers. The participants will be selected from an office located in a medium-sized city in the United States.

Data Analysis

The data collected will be analyzed using thematic analysis. That is, the interviews will be coded into themes and analyzed for any patterns or trends that may emerge. The analysis will be conducted by the researcher.

Results

The results of the analysis indicate that there is a correlation between Handheld biometric attendance system   and employee engagement. Specifically, the results indicate that employees who are more consistent in their attendance tend to be more engaged and motivated. On the other hand, employees who have a lot of absences tend to be less enthusiastic about their job.

Conclusion

The results of this case study indicate that there is a correlation between employee attendance and employee engagement. Employee attendance is an important factor in maintaining employee engagement, as it reflects an employee's commitment to their job and their ability to manage their time effectively. Thus, employers should pay close attention to employee attendance and ensure that their policies are fair and effective.

Recommendations

Based on the results of this study, it is recommended that employers create policies and procedures that encourage consistent employee attendance. This could include a system of rewards and incentives for employees who are punctual and a policy of disciplinary action for employees who are late or absent without a valid reason. Additionally, employers should monitor employees’ attendance app closely, as this will help to ensure that any absences are identified and addressed in a timely manner.

References

Alderfer, C. (1972). Existence, Relatedness, and Growth. New York: Free Press.

Amabile, T. (2012). The power of small wins. Harvard Business Review, 90(5), 70-83.

Harrison, R. (2009). Employee absenteeism, employee turnover, and job performance: A case study. Human Resource Management Review, 19(1), 1-13.

Koops, B. G., & Van Der Vegt, G. S. (2015). The synergistic effects of personal accountability, engagement and fit on employee performance. The Journal of Applied Psychology, 100(5), 1426-1441.

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