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Performance Evaluation System for Employee Promotion Eligibility of the IT Industry Sri Lanka.

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dc.contributor.author Senevirathna, Anuji
dc.date.accessioned 2024-02-28T03:31:29Z
dc.date.available 2024-02-28T03:31:29Z
dc.date.issued 2023
dc.identifier.citation Senevirathna, Anuji (2023) Performance Evaluation System for Employee Promotion Eligibility of the IT Industry Sri Lanka.. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2018479
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/1780
dc.description.abstract "Employee performance appraisal plays a major role in a company. But most of the IT companies in Sri Lanka are relying on 6 months or year-end evaluation process, and such organizations are reluctant to evaluate employee progress continuously in a regular manner. Since it isn’t a regular process, it’s hard to evaluate employee performance to offer them promotions. The aim of this project is to identify and analyze the inefficiency of the current performance appraisal systems in the IT sector in Sri Lanka and design, develop, and evaluate a progressive web-based application to conduct employee performance appraisal in a regular manner to offer employee promotion. As preliminary research, a pilot study was carried out among a biased convenience sample of employees who work in the IT population, in a wide range of IT companies to understand the current inefficiency of the performance appraisal process to offer promotions to the employees. After conducting a pilot study along with a literature review to further assess the problem area, it was possible to identify the related issues that contributed to the problem domain. A requirements-gathering process was conducted to identify the necessary specifications for the solution to address the identified problem. The implementation of the platform ""WorkPromo"" was carried out to accomplish the intended objective. The WorkPromo app is a platform that helps IT organizations to conduct employee performance appraisals in a more efficient and accurate manner. It utilizes a machine learning model to predict employee promotion eligibility based on employee sprint-wise and annual review rating data. The software was created to overcome the inefficiencies of the current appraisal procedure and offer a comprehensive solution for employee promotions in Sri Lanka's IT sector. " en_US
dc.language.iso en en_US
dc.publisher IIT en_US
dc.subject Employee performance evaluation en_US
dc.subject Inefficiencies of the performance appraisal en_US
dc.subject IT industry Sri Lanka en_US
dc.title Performance Evaluation System for Employee Promotion Eligibility of the IT Industry Sri Lanka. en_US
dc.type Thesis en_US


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