Implementation of Flexible Work Arrangement Management System with Data Analytics Using Data Mining for Performance Measurement

The COVID-19 pandemic triggered a shift in work dynamics in the Philippines, prompting the adoption of flexible work options like remote work and flexible hours to adapt to the new normal. The study presents the implementation of FlexiPH: Flexible Work Arrangement Management System to address the challenges and optimize the benefits of flexible work arrangements. This research investigates on the current state of telecommuting and provides solution on the different issues faced by telecommuters in Zamboanga City, Philippines. A mixed-methods approach was employed, combining qualitative interviews and quantitative usability testing to understand the different issues faced by the telecommuters. The findings identified five key themes related to the implementation of telecommuting in the area: Opportunities and Challenges, Productivity Monitoring, Performance Indicators, Employer Support, and the Future of Telecommuting. Additionally, the data analytics and mining features of the application provided valuable insights into employee productivity and the factors impacting performance metrics in telecommuting. FlexiPH effectively addressed the challenges associated with remote work, offering features such as time tracking, productivity monitoring, and performance analysis. Analysis revealed a perfect fit in the regression model, with an R2Score of 1.0. Moreover, the strong positive correlation score of 0.925 between working time and task completion demonstrated the impact of work time to task accomplishment. Lastly, the usability evaluation through the adaptation of Post-Study System Usability Questionnaire confirmed the high usability and user satisfaction of FlexiPH, with average mean scores of 1.25 for the employers and 1.79 for employees, indicating its potential to support efficient and productive flexible work arrangements. In closing, future researchers could focus on integrating FlexiPH with current Human Resource systems. Studying how attendance, payment, and performance evaluation relates to telecommuting could also enhance existing data analytics tools, making them more efficient and effective.