{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T14:26:13Z","timestamp":1771338373830,"version":"3.50.1"},"reference-count":33,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T00:00:00Z","timestamp":1759622400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.mdpi.com"],"crossmark-restriction":true},"short-container-title":["Information"],"abstract":"<jats:p>In many developing regions, recruitment still relies heavily on traditional methods that often ignore the importance of aligning a candidate\u2019s personality with the job role. This mismatch can lead to poor performance, dissatisfaction, and high turnover. To address this, the study presents a personality-aware recommendation system that combines the Myers\u2013Briggs Type Indicator (MBTI) with machine learning to support smarter hiring decisions. The system is tailored for the South Asian job market and includes two main components: a web-based MBTI assessment for applicants and a dashboard for HR professionals powered by a XGBoost classifier. This model was trained on a dataset correlating applicant profiles and the flagged preferences of MBTI with the job. Experience and the number of skills, education level, and encoded MBTI types were the key features, and the SMOTE method was employed to balance the dataset. The model attained an accuracy of 74.30%, having balanced precision and recall measures. It was also discriminative, the ROC AUC was 0.84, and the precision\u2013recall AUC was 0.85. One example of utilizing the Software Developer position in real life demonstrated the success of the system to filter and rank candidates at the same time according to both technical and personality-specific criteria. Overall, this study emphasizes the worth of combining insights from psychological profiling with machine learning in order to develop a more holistically, fair, and efficient hiring process.<\/jats:p>","DOI":"10.3390\/info16100863","type":"journal-article","created":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T15:05:06Z","timestamp":1759763106000},"page":"863","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Personality-Informed Candidate Recommendation Framework for Recruitment Using MBTI Typology"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3034-0586","authenticated-orcid":false,"given":"Hamza Wazir","family":"Khan","sequence":"first","affiliation":[{"name":"Department of Business Studies, Namal University Mianwali, Mianwali 42250, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1457-3021","authenticated-orcid":false,"given":"Mian Usman","family":"Sattar","sequence":"additional","affiliation":[{"name":"Data Science Research Centre, University of Derby, Kedleston Road, Derby DE22 1GB, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samreen","family":"Noor","sequence":"additional","affiliation":[{"name":"Department of Business Studies, Namal University Mianwali, Mianwali 42250, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-6408-3849","authenticated-orcid":false,"given":"Muna I.","family":"Alyousef","sequence":"additional","affiliation":[{"name":"Department of Management Information System, College of Business Administration, University of Hail, Ha\u2019il 81451, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,10,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"88524","DOI":"10.1007\/s11356-023-28498-6","article-title":"Impact of green HRM practices on sustainable performance: Mediating role of green innovation, green culture, green employees\u2019 behavior","volume":"30","author":"Shahzad","year":"2023","journal-title":"Environ. 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