dc.contributor.author |
Abou Hamdan, Lilian Fadi |
dc.date.accessioned |
2020-03-27T20:42:26Z |
dc.date.available |
2020-03-27T20:42:26Z |
dc.date.issued |
2019 |
dc.date.submitted |
2019 |
dc.identifier.other |
b23631697 |
dc.identifier.uri |
http://hdl.handle.net/10938/21594 |
dc.description |
Project. M.H.R.M. American University of Beirut. Suliman S. Olayan School of Business, 2019. Pj:1970. |
dc.description |
First Reader : Dr. Imad Bou Hamad, Associate Professor, Suliman S. Olayan School of Business ; Second Reader : Dr. Lina Daouk-Öyry, Assistant Professor, Suliman S. Olayan School of Business. |
dc.description |
Includes bibliographical references (leaves 30-31) |
dc.description.abstract |
Artificial Intelligence’s (AI) scope has rapidly grown in the workplace, playing a strategic role in recruitment and selection by automating various tasks in the processes to identify and reach the talented, skilled and passive job seekers in less time and at a smaller cost, while excluding subjectivity and biases for efficient decision-making. Screening resumes automatically and matching a vacancy’s requirements to the applicant’s profile provided significant support in the screening phase, as it decreases the number of errors that may occur when thousands of resumes are manually filtered (Enachescu, 2016). Using AI, recruiters can rank the resumes based on skill and experience, get a deep insight into personality-related assets and better measure the applicant’s fit for the job, beyond the traditional resumes in order to successfully match them with available job openings, and avoid biased decisions (Dickson and Nusair, 2010). Therefore, the aim of our study is to scope out the existing literature around the topic while specifically examining the role of AI technological software in the recruitment and selection processes, hence providing the reader with a practical understanding of the future of human factor in the recruitment and selections processes. |
dc.format.extent |
1 online resource (ix, 80 leaves) |
dc.language.iso |
eng |
dc.subject.classification |
Pj:001970 |
dc.subject.lcsh |
Artificial intelligence. |
dc.subject.lcsh |
Employees -- Recruiting. |
dc.subject.lcsh |
Decision making. |
dc.title |
The role of artificial intelligence in the recruitment and selection processes : a systematic review. |
dc.title.alternative |
A systematic review. |
dc.type |
Student Project |
dc.contributor.department |
School of Business |
dc.contributor.faculty |
Suliman S. Olayan School of Business |
dc.contributor.institution |
American University of Beirut |