Using web services, Develop an Application Framework for Employee Performance Evaluation & Recognition

Abstract

The most of the companies are engaged in the area of an employee performance evaluations and recognition since, a great performance can take your business to an optimum level whereas poor performing employee can be detrimental to your company’s success. Hence, definitely, the company must be identified the best human resources to achieve the company goals and objectives. In a project-based companies, the most suitable employees are allocating as human resources at the initial stage of the project. Therefore, suggesting the most appropriate and the most suitable employees for a project as resources, will be led to the success of a project. But, if any such company is unable to select the correct employees at the correct time, then the project will be failed due to inappropriate selections of an employees. However, the manual selection of an employees is a tedious task hence, it is a time consuming and not providing the accurate results due to the biasness and the difficulty of keep all angles of hundreds or thousands of employee actions, including behaviors or the performances assessed by them. Further, if any company has unable to follow the accurate employee evaluations without any biases, the whole project will be failed since, the performance will be taken as the input for the allocation of human resources for a project. Therefore, it is necessary to have a software-based solution which is capable enough to find out the appropriate employees for a new project, and the solution is not a straight forward way to solve the problem. So, it is used an intelligent approach to solve the problem and developed an application framework with web APIs which follows the Service Oriented Architecture (SOA), as a mechanism to conduct the performance evaluation and recognition. As the solution to the problem, developed an algorithm which can generate accurate results with less execution time. The bulk data has been involved with the process and the data load also high. Therefore, the data manipulations have been used at the database level, in order to provide the fast execution. Further, the framework has been exposed the methods to outside since, any client application can be plug in to the framework and it will provide the interoperable and cross platform services for any client. This concept is a totally new idea and it will enhance the usability and the reliability when evaluating employee performance and suggesting suitable employees for new project.