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https://rfos.fon.bg.ac.rs/handle/123456789/3010Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Marković, Lazar | en_US |
| dc.creator | Labus, Aleksandra | en_US |
| dc.creator | Rodić, Branka | en_US |
| dc.creator | Sovtić, Danica | en_US |
| dc.creator | Trpkov, Aleksandra | en_US |
| dc.date.accessioned | 2025-12-10T07:00:03Z | - |
| dc.date.available | 2025-12-10T07:00:03Z | - |
| dc.date.issued | 2025-08 | - |
| dc.identifier.uri | https://rfos.fon.bg.ac.rs/handle/123456789/3010 | - |
| dc.description.abstract | The digital transformation of human resource management is reshaping recruitment practices through the integration of advanced technologies, including artificial intelligence (AI) and blockchain. This paper examines the concept of e-recruitment facilitated by AI and blockchain-based competency passports, which consolidate verified records of formal and informal learning, certifications, and employment history. These passports, stored on a decentralized and tamper-proof blockchain ledger, provide candidates with secure, portable, and verifiable digital identities. Upon consent, employers and recruiters can access a candidate’s credentialed background, enabling faster and more accurate pre-selection while reducing reliance on manual verification. AI algorithms enhance the recruitment process by analyzing competency data, matching candidates to job prof iles, predicting performance, and identifying potential risks. The combination of these technologies enables more transparent, efficient, and fair hiring processes, while also ensuring that candidates retain control over their personal data. This paper presents a developed model of the ecosystem for e-recruitment based on AI and blockchain highlighting the roles and technology-enabled processes of key stakeholders, including candidates, educational institutions, employers, HR departments, and regulatory bodies. The model offers a comprehensive view of how emerging technologies can be effectively embedded throughout the recruitment life cycle. Furthermore, the study elaborates on the system’s technical architecture, discusses challenges such as legal compliance and interoperability, and proposes strategic recommendations for gradual adoption. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | VISOKA ŠKOLA “INTERNACIONALNA POSLOVNO–INFORMACIONA AKADEMIJA” TUZLA | en_US |
| dc.rights | openAccess | en_US |
| dc.source | 8th INTERNATIONAL SCIENTIFIC CONFERENCE ON DIGITAL ECONOMY DIEC 2025 | en_US |
| dc.subject | Human Resource Management | en_US |
| dc.subject | E-recruitment. | en_US |
| dc.subject | Blockchain | en_US |
| dc.subject | artificial intelligence | en_US |
| dc.subject | Competency Passport | en_US |
| dc.title | E-Recruitment Powered by Artificial Intelligence and Blockchain-Based Competency Passports | en_US |
| dc.type | conferenceObject | en_US |
| dc.citation.epage | 25 | en_US |
| dc.citation.other | Marković, L., Labus, A., Rodić, B., Sovtić, D., & Trpkov, А. (2025). E-Recruitment Powered by Artificial Intelligence and Blockchain-Based Competency Passports, In: Proceedings of the 8th International Scientific Conference on Digital Economy DIEC 2025 (pp. 5-25). Tuzla, Bosna i Hercegovina, ISSN 2566 - 4522. https://ipi-akademija.ba/file/diec-8-online/372 | en_US |
| dc.citation.rank | M61 | en_US |
| dc.citation.spage | 5 | en_US |
| dc.type.version | publishedVersion | en_US |
| item.fulltext | With Fulltext | - |
| item.openairetype | conferenceObject | - |
| item.grantfulltext | open | - |
| item.cerifentitytype | Publications | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| item.languageiso639-1 | en | - |
| Appears in Collections: | Radovi istraživača / Researchers’ publications | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| DIEC8-online-zbornikradova.pdf | 9.5 MB | Adobe PDF | View/Open |
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