Factors Affecting Job Search Efficiency on Ethio Jobs: A Study of Job Seekers in Addis Ababa
| dc.contributor.advisor | Kuribachew Gizaw (PhD) _ | |
| dc.contributor.author | Helen Girmay | |
| dc.date.accessioned | 2026-11-06T04:57:44Z | |
| dc.date.available | 2026-11-06T04:57:44Z | |
| dc.date.issued | 2026-11-03 | |
| dc.description.abstract | This paper is a research paper that focuses on factors that affects the efficiency of job search of job seekers. The study only includes candidates who actively use Ethio Jobs in Addis Ababa. The study uses a descriptive and explanatory research design to explore and understand the relationship between platform features and job search efficiency. A mixed-methods approach was used, combination of quantitative and qualitative data. The quantitative data were collected through structured questionnaires distributed to the job seekers using the Ethio Jobs platform in Addis Ababa. While qualitative data were collected through interviews conducted with the platform developers. A total of 292 valid responses were collected and analyzed using SPSS version 27 statistical software to address the research objective. From a sample of 300 job seekers. Participants were selected from active users of Ethio Jobs platform, including graduates, unemployed and employed individuals who are looking for new employment opportunities through Ethio Jobs platform. This explored the relationship of platform usability, job information quality, job matching effectiveness, digital literacy, and job search behavior on job search efficiency. And from qualitative side, participants were selected purposively from platform developers and experienced user. The study investigates the key factors affecting job search efficiency through multiple regression analysis. This explores the relationship between five independent variables and the dependent variable of job search efficiency. The independent variables include platform usability, job information quality, job matching effectiveness, digital literacy and job search behavior. The findings shows that job information quality, platform usability, job matching effectiveness, and job search behavior have statistically significant positive effects on job search efficiency. Among these variables, job information quality was the strongest predictor with a standard regression coefficient of (0.260). This suggests that clear, accurate, complete, and updated job information has the greatest positive influence on improving job search efficiency. However, digital literacy did not show a statistically significant effect, and the qualitative results shows that many job seekers face problems including job description that are incomplete or outdated, job postings that are outdated and a lack of feedback from employers after the job seekers submit there applications. Therefore, These issues can lower trust in digital recruitment platforms and negatively affect user satisfaction and long term engagement. The finding highlights the importance of improving employer responsiveness, x maintaining updated job listings, and strengthening platform monitoring systems to improve overall recruitment efficiency. | |
| dc.identifier.uri | https://etd.aau.edu.et/handle/123456789/9363 | |
| dc.language.iso | en_US | |
| dc.publisher | . Addis ababa university | |
| dc.subject | o improve overall recruitment efficiency | |
| dc.title | Factors Affecting Job Search Efficiency on Ethio Jobs: A Study of Job Seekers in Addis Ababa | |
| dc.type | Thesis |