Drávai Viktória Dóra (2025) Effective recruitment channels and selection criteria in the domestic insurance and banking sector – comparative analysis. Kereskedelmi, Vendéglátóipari és Idegenforgalmi Kar.
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Absztrakt (kivonat)
This thesis investigates the recruitment and selection processes within the insurance andbanking sectors, with a particular focus on identifying effective strategies and methods forattracting and selecting the ideal candidates. Inspired by personal experience as both a jobseeker and HR intern at a multinational corporation, the research combines theoreticalfoundations with practical insights gained through qualitative interviews. The first part of thestudy outlines the general framework of recruitment, examining its stages, effectiveness, andcontemporary methods. The second part provides a comparative analysis of three prominentHungarian companies—Allianz Hungária Zrt., OTP Bank Nyrt., and GroupamaBiztosító—based on interviews with their HR experts. Findings highlight that recruitmentchannels and strategies vary depending on job type and organizational goals, with externalheadhunting and internal referrals used for high-level roles, while social media and job portalsare more common for administrative positions. Key selection criteria include professionalcompetence, cultural fit, and personal values, often assessed through interviews andpersonality tests. Challenges such as talent shortages and high salary expectations are alsoaddressed, alongside emerging trends like digital recruitment tools and automation. The studyconcludes that responsiveness, flexibility, and technological adaptation will be critical tofuture recruitment success.
Intézmény
Budapesti Gazdasági Egyetem
Kar
Kereskedelmi, Vendéglátóipari és Idegenforgalmi Kar
Tanszék
Kereskedelem Tanszék
Tudományterület/tudományág
NEM RÉSZLETEZETT
Szak
| Mű típusa: | diplomadolgozat (NEM RÉSZLETEZETT) |
|---|---|
| Kulcsszavak: | banking sector, channels, HR, insurance sector, recruitment, selection |
| SWORD Depositor: | User Archive |
| Felhasználói azonosító szám (ID): | User Archive |
| Rekord készítés dátuma: | 2026. Ápr. 09. 14:55 |
| Utolsó módosítás: | 2026. Ápr. 09. 14:55 |
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