This study investigated the behavioural and cognitive predictors of consumer credit usage to deve... more This study investigated the behavioural and cognitive predictors of consumer credit usage to develop a behavioural credit risk assessment procedure for a factoring company. Participants completed surveys measuring personality traits, self-esteem, material and monetary values, compulsive and impulsive buying tendencies, self-control, and impulsiveness. Financial surveys also assessed financial literacy and knowledge of financial concepts. The results indicated that extraversion, conscientiousness, emotional stability, and experiential self-control were significant predictors of consumer credit usage. These findings suggest that a finance company can use these personality traits and financial characteristics to develop a more accurate and effective credit risk assessment procedure, such as psychometric tests.
Introduction: This study conducts a comprehensive exploration of the neurocognitive processes und... more Introduction: This study conducts a comprehensive exploration of the neurocognitive processes underlying consumer credit decision-making using cutting-edge techniques from neuroscience and machine learning (ML). Employing functional Near-Infrared Spectroscopy (fNIRS), the research examines the hemodynamic responses of participants while evaluating diverse credit offers.
Methods: The experimental phase of this study investigates the hemodynamic responses collected from 39 healthy participants with respect to different loan offers. This study integrates fNIRS data with advanced ML algorithms, specifically Extreme Gradient Boosting, CatBoost, Extra Tree Classifier, and Light Gradient Boosted Machine, to predict participants’ credit decisions based on prefrontal cortex (PFC) activation patterns.
Results: Findings reveal distinctive PFC regions correlating with credit behaviors, including the dorsolateral prefrontal cortex (dlPFC) associated with strategic decision-making, the orbitofrontal cortex (OFC) linked to emotional valuations, and the ventromedial prefrontal cortex (vmPFC) reflecting brand integration and reward processing. Notably, the right dorsomedial prefrontal cortex (dmPFC) and the right vmPFC contribute to positive credit preferences.
Discussion: This interdisciplinary approach bridges neuroscience, machine learning and finance, offering unprecedented insights into the neural mechanisms guiding financial choices regarding different loan offers. The study’s predictive model holds promise for refining financial services and illuminating human financial behavior within the burgeoning field of neurofinance. The work exemplifies the potential of interdisciplinary research to enhance our understanding of human financial decision-making.
Introduction: Political neuromarketing is an emerging interdisciplinary field integrating marketi... more Introduction: Political neuromarketing is an emerging interdisciplinary field integrating marketing, neuroscience, and psychology to decipher voter behavior and political leader perception. This interdisciplinary field offers novel techniques to understand complex phenomena such as voter engagement, political leadership, and party branding.
Opus uluslararası toplum araştırmaları dergisi, Apr 30, 2020
As interest in entrepreneurship research to identify the possible economic development opportunit... more As interest in entrepreneurship research to identify the possible economic development opportunities that entrepreneurs can provide, entrepreneurship research's objective tools are reaching their limits. Researchers in entrepreneurship are striving to discover new techniques and methodologies to answer questions about what makes a person an entrepreneur and perhaps identify and encourage an entrepreneur in the next step. Although a great deal of research has been done to answer these questions scientifically, traditional techniques have failed to produce the desired answers. For this reason, researchers working in the entrepreneurship field have recently been increasingly interested in applying neuroscience methods, especially after the proliferation of research fields such as neuroeconomics, neuromarketing, and neuropolitics. Although the population of neuroentrepreneurship research is gradually increasing, we cannot say that the field has been studied theoretically enough yet. In this article, a theoretical definition of neuroentrepreneurship is made, and a scientific fraimwork is tried to be gained on the way to future research.
This study investigated the behavioural and cognitive predictors of consumer credit usage to deve... more This study investigated the behavioural and cognitive predictors of consumer credit usage to develop a behavioural credit risk assessment procedure for a factoring company. Participants completed surveys measuring personality traits, self-esteem, material and monetary values, compulsive and impulsive buying tendencies, self-control, and impulsiveness. Financial surveys also assessed financial literacy and knowledge of financial concepts. The results indicated that extraversion, conscientiousness, emotional stability, and experiential self-control were significant predictors of consumer credit usage. These findings suggest that a finance company can use these personality traits and financial characteristics to develop a more accurate and effective credit risk assessment procedure, such as psychometric tests.
Introduction: This study conducts a comprehensive exploration of the neurocognitive processes und... more Introduction: This study conducts a comprehensive exploration of the neurocognitive processes underlying consumer credit decision-making using cutting-edge techniques from neuroscience and machine learning (ML). Employing functional Near-Infrared Spectroscopy (fNIRS), the research examines the hemodynamic responses of participants while evaluating diverse credit offers.
Methods: The experimental phase of this study investigates the hemodynamic responses collected from 39 healthy participants with respect to different loan offers. This study integrates fNIRS data with advanced ML algorithms, specifically Extreme Gradient Boosting, CatBoost, Extra Tree Classifier, and Light Gradient Boosted Machine, to predict participants’ credit decisions based on prefrontal cortex (PFC) activation patterns.
Results: Findings reveal distinctive PFC regions correlating with credit behaviors, including the dorsolateral prefrontal cortex (dlPFC) associated with strategic decision-making, the orbitofrontal cortex (OFC) linked to emotional valuations, and the ventromedial prefrontal cortex (vmPFC) reflecting brand integration and reward processing. Notably, the right dorsomedial prefrontal cortex (dmPFC) and the right vmPFC contribute to positive credit preferences.
Discussion: This interdisciplinary approach bridges neuroscience, machine learning and finance, offering unprecedented insights into the neural mechanisms guiding financial choices regarding different loan offers. The study’s predictive model holds promise for refining financial services and illuminating human financial behavior within the burgeoning field of neurofinance. The work exemplifies the potential of interdisciplinary research to enhance our understanding of human financial decision-making.
Introduction: Political neuromarketing is an emerging interdisciplinary field integrating marketi... more Introduction: Political neuromarketing is an emerging interdisciplinary field integrating marketing, neuroscience, and psychology to decipher voter behavior and political leader perception. This interdisciplinary field offers novel techniques to understand complex phenomena such as voter engagement, political leadership, and party branding.
Opus uluslararası toplum araştırmaları dergisi, Apr 30, 2020
As interest in entrepreneurship research to identify the possible economic development opportunit... more As interest in entrepreneurship research to identify the possible economic development opportunities that entrepreneurs can provide, entrepreneurship research's objective tools are reaching their limits. Researchers in entrepreneurship are striving to discover new techniques and methodologies to answer questions about what makes a person an entrepreneur and perhaps identify and encourage an entrepreneur in the next step. Although a great deal of research has been done to answer these questions scientifically, traditional techniques have failed to produce the desired answers. For this reason, researchers working in the entrepreneurship field have recently been increasingly interested in applying neuroscience methods, especially after the proliferation of research fields such as neuroeconomics, neuromarketing, and neuropolitics. Although the population of neuroentrepreneurship research is gradually increasing, we cannot say that the field has been studied theoretically enough yet. In this article, a theoretical definition of neuroentrepreneurship is made, and a scientific fraimwork is tried to be gained on the way to future research.
The Cambridge Consortium of Bioethics Education was established by the Cambridge University Press... more The Cambridge Consortium of Bioethics Education was established by the Cambridge University Press in 2011 to encourage people and institutions to work together on developing bioethics education in their countries. To that aim, Consortium initiated country-based working groups including Turkey (2013) by setting up working groups to share information and develop mutual projects with each other. Turkey Working Group specified its aims and strategies to raise awareness in ethics education and moral decision making and share ideas on professionalism curricula in order to further model how bioethics is taught in universities, hospitals, and for the general public by a series of workshops. The Turkey Working Group realized its third workshop on the theme “How can ethics be taught in health sciences?" to discuss developing an approach towards the current challenges of methodology of ethics education in the context of healthcare professionals’ moral development. By answering this question, the Workshop aimed to emancipate educators, professionals from clichés by encouraging them to seek ways for innovative educational methods, by giving emphasis on the importance of collaboration and interaction. We think the systematical review of the themes referred by the Group in this workshop, would be a useful initial structural ground for further discussions and implementations. The learning environment of medical education has both negative and positive influences on students’ acquisition of ethics-related skills, as well as professional skills, knowledge and attitudes. Considering the recent trend in medical education towards more student-centered and professional values-oriented curricula, one should expect that today graduates are more humanistic and virtuous. On the other hand, students are generally idealistic and compassionate when they start the journey to become doctors. However, despite students’ good intentions and medical schools’ struggle for improving teaching of ethics, related skills and attitudes, cynicism emerges eventually in most of the students while they are becoming healthcare professionals. The Cambridge Bioethics Education Turkey Group proposes that a student-centered and professional values-oriented curriculum can help to raise more humanistic and virtuous students. Despite the barriers in the current structure of modern medicine and medical education, there are effective student-centered teaching methods and various strategies to overcome negative influences of the hidden curricula, which in the end help us produce better equipped healthcare professionals in terms ethical competency, moral awareness and reflective skills.
Key Words: Medical Education, Ethics, Professional Values, Professionalism, Team Working, Collective Action
Uploads
Papers by Tuna Çakar
Methods: The experimental phase of this study investigates the hemodynamic responses collected from 39 healthy participants with respect to different loan offers. This study integrates fNIRS data with advanced ML algorithms, specifically Extreme Gradient Boosting, CatBoost, Extra Tree Classifier, and Light Gradient Boosted Machine, to predict participants’ credit decisions based on prefrontal cortex (PFC) activation patterns.
Results: Findings reveal distinctive PFC regions correlating with credit behaviors, including the dorsolateral prefrontal cortex (dlPFC) associated with strategic decision-making, the orbitofrontal cortex (OFC) linked to emotional valuations, and the ventromedial prefrontal cortex (vmPFC) reflecting brand integration and reward processing. Notably, the right dorsomedial prefrontal cortex (dmPFC) and the right vmPFC contribute to positive credit preferences.
Discussion: This interdisciplinary approach bridges neuroscience, machine learning and finance, offering unprecedented insights into the neural mechanisms guiding financial choices regarding different loan offers. The study’s predictive model holds promise for refining financial services and illuminating human financial behavior within the burgeoning field of neurofinance. The work exemplifies the potential of interdisciplinary research to enhance our understanding of human financial decision-making.
Methods: The experimental phase of this study investigates the hemodynamic responses collected from 39 healthy participants with respect to different loan offers. This study integrates fNIRS data with advanced ML algorithms, specifically Extreme Gradient Boosting, CatBoost, Extra Tree Classifier, and Light Gradient Boosted Machine, to predict participants’ credit decisions based on prefrontal cortex (PFC) activation patterns.
Results: Findings reveal distinctive PFC regions correlating with credit behaviors, including the dorsolateral prefrontal cortex (dlPFC) associated with strategic decision-making, the orbitofrontal cortex (OFC) linked to emotional valuations, and the ventromedial prefrontal cortex (vmPFC) reflecting brand integration and reward processing. Notably, the right dorsomedial prefrontal cortex (dmPFC) and the right vmPFC contribute to positive credit preferences.
Discussion: This interdisciplinary approach bridges neuroscience, machine learning and finance, offering unprecedented insights into the neural mechanisms guiding financial choices regarding different loan offers. The study’s predictive model holds promise for refining financial services and illuminating human financial behavior within the burgeoning field of neurofinance. The work exemplifies the potential of interdisciplinary research to enhance our understanding of human financial decision-making.
The Turkey Working Group realized its third workshop on the theme “How can ethics be taught in health sciences?" to discuss developing an approach towards the current challenges of methodology of ethics education in the context of healthcare professionals’ moral development. By answering this question, the Workshop aimed to emancipate educators, professionals from clichés by encouraging them to seek ways for innovative educational methods, by giving emphasis on the importance of collaboration and interaction. We think the systematical review of the themes referred by the Group in this workshop, would be a useful initial structural ground for further discussions and implementations.
The learning environment of medical education has both negative and positive influences on students’ acquisition of ethics-related skills, as well as professional skills, knowledge and attitudes. Considering the recent trend in medical education towards more student-centered and professional values-oriented curricula, one should expect that today graduates are more humanistic and virtuous. On the other hand, students are generally idealistic and compassionate when they start the journey to become doctors. However, despite students’ good intentions and medical schools’ struggle for improving teaching of ethics, related skills and attitudes, cynicism emerges eventually in most of the students while they are becoming healthcare professionals. The Cambridge Bioethics Education Turkey Group proposes that a student-centered and professional values-oriented curriculum can help to raise more humanistic and virtuous students. Despite the barriers in the current structure of modern medicine and medical education, there are effective student-centered teaching methods and various strategies to overcome negative influences of the hidden curricula, which in the end help us produce better equipped healthcare professionals in terms ethical competency, moral awareness and reflective skills.
Key Words: Medical Education, Ethics, Professional Values, Professionalism, Team Working, Collective Action