PrinceAna, John Adinya Odey, Anthony Otiko, Gabriel Akibi Inyan,Etim Esu Oyo-Ita , Favour Prince Ana and Eyo Eyoanwan Eniang

Department of Computer Science, University of Cross River, Nigeria
Department of Computer Science, University of Calabar, Nigeria.

*Corresponding Author: rince Ana, Department of Computer Science, University of Cross River, Nigeria.

Received: August 14, 2023; Published: August 22, 2023

Abstract

The Staff Productivity Management Information System is a software application designed to help organizations manage and improve productivity of their staff. The management of task and the ability to evaluate task performance is a major problem to members of staff and the organizations. The system provides a platform for managers and supervisors to evaluate the task performance of their staff members based on a set of predefined metrics such as quality of work, productivity, communication skills, teamwork and problem-solving abilities. The evaluation process involves the use of metrics and rating scales which are designed to ensure fairness and consistency in evaluation across the organization. The system provides tools for setting performance goals, tracking progress and communicating feedback to staff members. The staff productivity management Information system is designed to be user-friendly, customized and scalable to meet the needs of organizations of different sizes and industries. HTML, CSS and JavaScript were used to design the Front-end while PHP, and MySQL were used to develop the Back end of the system. The system has the potential to improve organizational performance, employee engagement and job satisfaction by providing a data-driven approach to managing staff productivity.

Keywords: Staff; Productivity; Management; Performance; Evaluation Task; Evaluator; Organization; Database; Web-Based; System

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Citation

Citation: Prince Ana., et al. “Design and Implementation of Staff Productivity Management Information System". Acta Scientific Computer Sciences 5.9 (2023): 26-32.

Copyright

Copyright: © 2023 Prince Ana., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.