DescriptionAccording to Statistics Denmark, in the period from 12 March to 26 May, the job centres stopped allocating jobs and demanded that people who received unemployment benefits or cash benefits be available for the labour market (Wendy Takacs Jensen, 2020). The seed company is leading a product innovation process with municipalities and employers to radically improve the labour market integration of unemployed people. What would happen if technologies can help in finding alignment between the person and the occupation? How much time and effort will be saved for both employers and employees and the whole society when the match with the right job opportunity is done using data analytics? The goal of this analysis is to make finding a job easier and faster for a job seeker and recruiter. It also helps to connect the right candidate based on his experience, expertise, and personality with the right job.
The e-recruiting system is still not fully automated in most recruitment agencies. The aim of this project is to reduce the paperwork of the HR staff and automate some work in order to find the best candidate for a job position. The basic idea of the Seed platform is to prepare the best candidate to a job interview by choosing him based on his personality traits. That would shorten the employment process and reduce the bias in choosing employees based on the ordinary job employment process that uses resumes and job applications. In this case, the candidate name and gender will not be shown until the interview stage of the employment process. The matching algorithm can help in making a list of candidates that are suitable for a specific job and arrange them in order based on their ranking. That would help in putting the right person in the right job without making any prior determination to employ for example a man or distinct ethnicity in a specific job. This analysis supports the theory that work will be more enjoyable when there is congruence between one’s personality and one’s occupation. The results of analysing three samples and comparing them with the US census shows that more people with an advanced degree (Master or higher) have taken the test than the US census. The data contributes a clear understanding of personality traits for more than 127,000 individuals. While the previous research of the SAPA project has focused on measuring personality traits in general, my own research was focused on taking the measurements into the workplace and eliminate any factors are not related to work as well as improve the questions of the test to make it clear to participants that this test is going to be used in professional circumstances.
|Period||31 Aug 2020 → 21 Feb 2021|
|Examinee||Emad Elddin Hasan Hallak|
|Examination held at|
|Degree of Recognition||National|