Ekyeyo Mobile Application

The Ekyeyo mobile application addressed critical inefficiencies in Uganda's job market by leveraging technology to enhance the job-seeking and hiring processes. With a national unemployment rate of approximately 9.2%, traditional job search methods like newspapers and physical job boards fail t...

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Main Authors: Nkuba, Blair, Kansiime, Daniel
Format: Thesis
Language:English
Published: Kabale University 2025
Subjects:
Online Access:http://hdl.handle.net/20.500.12493/2885
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author Nkuba, Blair
Kansiime, Daniel
author_facet Nkuba, Blair
Kansiime, Daniel
author_sort Nkuba, Blair
collection KAB-DR
description The Ekyeyo mobile application addressed critical inefficiencies in Uganda's job market by leveraging technology to enhance the job-seeking and hiring processes. With a national unemployment rate of approximately 9.2%, traditional job search methods like newspapers and physical job boards fail to effectively connect job seekers with employers, leaving only 20% of vacancies filled through formal channels. This study explored the development of Ekyeyo, a user-friendly Android-based job portal that bridges this gap. The app incorporates advanced search algorithms, tailored job recommendations, and streamlined candidate screening to improve job-matching accuracy. By implementing the Iterative Model for development, the researchers designed and tested a platform that empowers job seekers to access opportunities and simplifies the hiring process for employers. Field studies revealed significant user satisfaction due to the app's efficiency and usability, with features such as real-time notifications and intuitive interfaces highlighted as key strengths. This innovation promised to reduce unemployment, foster economic growth, and establish a transparent recruitment ecosystem in Uganda. Future enhancements, including AI integration and broader industry applications, aim to scale the app's impact further.
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publishDate 2025
publisher Kabale University
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spelling oai:idr.kab.ac.ug:20.500.12493-28852025-02-14T00:00:35Z Ekyeyo Mobile Application Nkuba, Blair Kansiime, Daniel Ekyeyo mobile application The Ekyeyo mobile application addressed critical inefficiencies in Uganda's job market by leveraging technology to enhance the job-seeking and hiring processes. With a national unemployment rate of approximately 9.2%, traditional job search methods like newspapers and physical job boards fail to effectively connect job seekers with employers, leaving only 20% of vacancies filled through formal channels. This study explored the development of Ekyeyo, a user-friendly Android-based job portal that bridges this gap. The app incorporates advanced search algorithms, tailored job recommendations, and streamlined candidate screening to improve job-matching accuracy. By implementing the Iterative Model for development, the researchers designed and tested a platform that empowers job seekers to access opportunities and simplifies the hiring process for employers. Field studies revealed significant user satisfaction due to the app's efficiency and usability, with features such as real-time notifications and intuitive interfaces highlighted as key strengths. This innovation promised to reduce unemployment, foster economic growth, and establish a transparent recruitment ecosystem in Uganda. Future enhancements, including AI integration and broader industry applications, aim to scale the app's impact further. 2025-02-13T10:11:54Z 2025-02-13T10:11:54Z 2023 Thesis Nkuba, B., & Kansiime, D. (2023). Ekyeyo mobile application. Kabale University. http://hdl.handle.net/20.500.12493/2885 en Attribution-NonCommercial-NoDerivs 3.0 United States http://creativecommons.org/licenses/by-nc-nd/3.0/us/ application/pdf Kabale University
spellingShingle Ekyeyo
mobile application
Nkuba, Blair
Kansiime, Daniel
Ekyeyo Mobile Application
title Ekyeyo Mobile Application
title_full Ekyeyo Mobile Application
title_fullStr Ekyeyo Mobile Application
title_full_unstemmed Ekyeyo Mobile Application
title_short Ekyeyo Mobile Application
title_sort ekyeyo mobile application
topic Ekyeyo
mobile application
url http://hdl.handle.net/20.500.12493/2885
work_keys_str_mv AT nkubablair ekyeyomobileapplication
AT kansiimedaniel ekyeyomobileapplication