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Süleyman Deği̇rmen

Biographic Data

ID4463953
NAMESüleyman Deği̇rmen
GIVEN NAMESSüleyman
FAMILY NAMEDeği̇rmen
SIGNATUREDEĞİRMEN S
AFFILIATIONSMersin Üniversitesi
ORCID0000-0001-8750-652X
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2011
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Unmasking role of propensity for and quality of intellectual capital divulgence: A knowledge-based perspective

    Open Access•Wasim Ul Rehman, Süleyman Deği̇rmen et al.•ARTICLE•Sustainable Futures•2025•References: 3

  • Translating the role of artificial intelligence into green intellectual capital initiatives and green business process optimization in achieving corporate environmental performance

    Open Access•Wasim Ul Rehman, Ömür Saltık et al.•ARTICLE•Sustainable Futures•2025•References: 11

  • Viral decisions: Unmasking the impact of Covid-19 info and behavioral quirks on investment choices

    Open Access•Wasim Ul Rehman, Ömür Saltık et al.•ARTICLE•Humanities and Social Sciences…•2024

    This study aims to investigate the impact of behavioral biases on investment decisions and the moderating role of COVID-19 pandemic information sharing. Furthermore, it highlights the significance of considering cognitive biases and sociodemographic factors in analyzing investor behavior and in designing agent-based models for market simulation. The findings reveal that these behavioral factors significantly positively affect investment decisions…

  • Predicting loss aversion behavior with machine-learning methods

    Open Access•Ömür Saltık, Wasim Ul Rehman et al.•ARTICLE•Humanities and Social Sciences…•2023

    This paper proposes to forecast an important cognitive phenomenon called the Loss Aversion Bias via Hybrid Machine Learning Models. One of the unique aspects of this study is using the reaction time (milliseconds), psychological factors (self-confidence scale, Beck’s hopelessness scale, loss-aversion), and personality traits (financial literacy scales, socio-demographic features) as features in classification and regression methods. We found that…

  • The Effects of Foreign Bank Participation on the Turkish Banking System and Crisis

    Open Access•Süleyman Deği̇rmen•ARTICLE•Journal of World-Systems Research•2011

    There is an assertion that the participation of foreign banks in emerging markets is often thought to improve overall bank soundness. Therefore, if the share of foreign banks in a national banking system is large, the system will quickly overcome both financial or currency crises, and quickly recover itself. Since Turkey has been experienced mentioned crises, the aim of this study is to reveal if the assertion is valid for Turkey. Our expectation…

No prominent works on this page.

  • The Effects of Foreign Bank Participation on the Turkish Banking System and Crisis

    Open Access•Süleyman Deği̇rmen•ARTICLE•Journal of World-Systems Research•2011

    There is an assertion that the participation of foreign banks in emerging markets is often thought to improve overall bank soundness. Therefore, if the share of foreign banks in a national banking system is large, the system will quickly overcome both financial or currency crises, and quickly recover itself. Since Turkey has been experienced mentioned crises, the aim of this study is to reveal if the assertion is valid for Turkey. Our expectation…

  • Predicting loss aversion behavior with machine-learning methods

    Open Access•Ömür Saltık, Wasim Ul Rehman et al.•ARTICLE•Humanities and Social Sciences…•2023

    This paper proposes to forecast an important cognitive phenomenon called the Loss Aversion Bias via Hybrid Machine Learning Models. One of the unique aspects of this study is using the reaction time (milliseconds), psychological factors (self-confidence scale, Beck’s hopelessness scale, loss-aversion), and personality traits (financial literacy scales, socio-demographic features) as features in classification and regression methods. We found that…

  • Viral decisions: Unmasking the impact of Covid-19 info and behavioral quirks on investment choices

    Open Access•Wasim Ul Rehman, Ömür Saltık et al.•ARTICLE•Humanities and Social Sciences…•2024

    This study aims to investigate the impact of behavioral biases on investment decisions and the moderating role of COVID-19 pandemic information sharing. Furthermore, it highlights the significance of considering cognitive biases and sociodemographic factors in analyzing investor behavior and in designing agent-based models for market simulation. The findings reveal that these behavioral factors significantly positively affect investment decisions…

  • Unmasking role of propensity for and quality of intellectual capital divulgence: A knowledge-based perspective

    Open Access•Wasim Ul Rehman, Süleyman Deği̇rmen et al.•ARTICLE•Sustainable Futures•2025•References: 3

  • Translating the role of artificial intelligence into green intellectual capital initiatives and green business process optimization in achieving corporate environmental performance

    Open Access•Wasim Ul Rehman, Ömür Saltık et al.•ARTICLE•Sustainable Futures•2025•References: 11

Psychology (3 works) · Artificial Intelligence (2 works) · Business (2 works) · Computer Science (2 works) · Economics (2 works) · Financial Markets and Investment Strategies (2 works) · Social Psychology (2 works) · 2019-20 coronavirus outbreak (1 works) · Assertion (1 works) · Banking stability, regulation, efficiency (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae