Kaplan, Muhittin

Profil fotoğrafı
 E-posta Adresi
muhittin.kaplan@ihu.edu.tr
ORCID Profili
0000-0002-0685-7641
WoS Profili
AAB-7632-2020
Scopus Profili
55431878300
YÖK Araştırmacı Profili
2FC8EA0A5F6FE1FD
TR-Dizin Profili
892205
SOBİAD Profili
37527
Web Sitesi
akademik.ihu.edu.tr/tr/muhittin-kaplan

Araştırma projeleri

Organizasyon Birimleri

Organizasyon Birimi Logosu
Organizasyon Birimi
Yönetim Bilimleri Fakültesi, İktisat Bölümü
İktisat Bölümü, başta Türkiye ve çevre ülkeler olmak üzere küresel ekonomileri anlayan, var olan sorunları analiz ederken, iktisadi kuramları ve kavramları yetkin ve özgün bir şekilde kullanma becerisine sahip bireyler yetiştirmeyi amaçlamaktadır.

Adı Soyadı

Muhittin Kaplan

İlgi Alanları

İş Ekonomisi, Çevre Bilimleri ve Ekoloji, Alan Çalışmaları, Uluslararası İlişkiler, Kamu Yönetimi

Kurumdaki Durumu

Aktif Personel

Filtreler

20241
Filtreleri Sıfırla

Ayarlar

WoS Q: Q4 ×

Arama Sonuçları

Listeleniyor 1 - 1 / 1
  • Küçük Resim
    Yayın
    Exploring the impact of behavioural factors and personality traits on private pension system participation: A machine learning approach
    (İstanbul University Press, 2024) Verberi, Can; Kaplan, Muhittin; Yönetim Bilimleri Fakültesi, İktisat Bölümü
    This study aims to investigate the effects of personality traits, in addition to basic financial literacy, private pension literacy and behavioural factors on Private Pension System (PPS) participation using machine learning algorithms. The PPS participation model was trained using both random forest and LightGBM algorithms, and the contributions of model inputs in the prediction of pension participation were interpreted using the Tree SHAP algorithms with swarmplots. The data employed in the empirical analysis is survey data collected from the Şırnak province of Türkiye with a sample size of 449. The findings of the study shows that: (i) PPS participation is more likely for females and middle-aged people; (ii) High basic financial literacy has a negative impact on PPS participation; (iii) Extraversion is the key personality trait affecting PPS participation; (iv) Advanced pension literacy has more impact on participation than simple pension literacy: (v) Present-fatalistic tendency is key behavioural factor and it negatively affects PPS; (vi) Present-hedonistic, conscientiousness, future-time orientation, and locus of control tendencies increase PPS participation. Furthermore, the distribution of colours in LightGBM has a greater degree of uniformity in both directions compared with the random forest algorithm. Finally, to increase PPS participation, the results of the study suggest the implementation of the following policy measures: Tailored pension literacy programmes can help to increase pension participation rates. Incentives should be created to prevent narrow-minded behaviour and establish a sense of protection and control around PPS, targeting middle-aged individuals and women.