Serkan Eti
Biographic Data
| ID | 3508947 |
|---|---|
| NAME | Serkan Eti |
| GIVEN NAMES | Serkan |
| FAMILY NAME | Eti |
| SIGNATURE | ETI S |
| AFFILIATIONS | Istanbul Medipol University |
| ORCID | 0000-0002-4791-4091 |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Addressing the missing gap in uninterrupted solar energy research through an automated literature mining and fuzzy decision support system
This study addresses the uncertainty problem in determining the most effective strategies for uninterrupted solar energy production. A significant gap in the literature is the limited number of comprehensive, data-driven analyses regarding which criteria should be prioritized in solar energy projects, and which next-generation technologies offer more suitable alternatives. Therefore, the aim of this study is to develop an integrated framework com…
Addressing the missing psychological priorities in green consumption through an original fuzzy multi-criteria decision model
Although increasing green consumption plays a critical role in solving today's environmental problems, a significant problem remains the insufficient clarification of the relative importance of the psychological factors shaping this behavior. While numerous psychological factors influencing green consumption have been identified in the current literature, there are limited studies on which of these factors are more critical and which strategies s…
A behavior-sensitive multi-criteria framework for policy evaluation
This study evaluates the 8-year performance of the EU-Türkiye Consensus. It employs a multi-criterion, behavior-based decision model to address uncertainties surrounding its future. The core problem is that the Consensus has been examined in a fragmented manner across legal, political, diplomatic, and humanitarian dimensions. As a result, there is no comprehensive scientific framework to identify the most sustainable strategic option. Existing li…
Prioritizing resilience-related organizational practices in SMEs
Small and medium-sized enterprises (SMEs) increasingly operate under conditions of uncertainty driven by technological change, environmental turbulence, and unexpected disruptions. While organizational resilience has received growing scholarly attention, limited research has examined how SMEs prioritize alternative resilience-related organizational practices when faced with multiple competing options and constrained resources. This study addresse…
Psychology meets artificial intelligence
Decision-making in highly complex environments, such as environmental investment planning, often involves uncertainty, competing priorities, and the integration of both technical and human factors. From a psychological perspective, this raises challenges related to cognition, judgment, and the interaction between human experts and computational systems. Addressing these issues, this study introduces a novel human-centered decision-making framewor…
Human–computer collaboration in decision-making
There is still no consensus in the literature on how renewable energy investments aligned with the Sustainable Development Goals (SDGs) should be prioritized. This lack of clarity creates uncertainty for policymakers and investors and weakens the long-term sustainability perspective in decision-making. To address this gap, this study develops a novel Dynamic Multi-Facet Fuzzy Set (DMFFS)–based decision-making model to identify the most appropriat…
Optimizing leadership selection for inclusive climate
Establishing an inclusive climate in organizations has become a strategic priority for increasing employee engagement, effectively managing diversity, and achieving sustainable organizational success. Much of the existing research either focuses on a single leadership type or fails to consider the relationship between leadership and inclusive climate with a holistic approach. The aim of this study is to identify the most appropriate leadership ty…
An artificial intelligence-augmented multi-criteria decision framework for identifying critical determinants of anti-immigrant attitudes in societal systems
Anti-immigrant attitudes define prejudiced, exclusionary, and discriminatory approaches toward immigrants, and these attitudes have multilayered economic, psychological, and social consequences that threaten social cohesion in societies. The fundamental problem of this study is that, despite the multidimensional nature of the factors fueling anti-immigrant sentiment, there is no clear consensus in the literature on which of these factors are most…
Ranking work–family conflict management strategies through a novel multi-criteria decision-making model
Work family conflict has become a critical organizational problem as increasing job demands and changing work structures intensify the pressure on employees' personal lives. The core challenge in this context is determining which organizational strategies should be prioritized to effectively reduce stress and role incompatibility under limited resources. Although numerous studies discuss work family conflict, the literature lacks systematic and q…
Rethinking energy investment policies during economic downturns using an advanced hybrid decision-making model
Economic recessions restrict public and private energy investments by tightening budgets, increasing uncertainty, and intensifying the need for strategic resource allocation, yet the literature offers limited guidance on which criteria should be prioritized under such conditions. This study aims to develop a structured and data-driven approach to identify the most critical factors shaping energy investment decisions during economic downturns. To …
Towards Evidence-Based Migration Governance
Role of internal audits in strengthening environmental, social and governance (ESG) performance for sustainable corporate growth
A novel artificial intelligence-based fuzzy decision-making approach to carbon capture technology investment performance
Integrating psychological factors into AI-supported decision-making for reverse brain drain policies
Scenario-driven decision models for rare element waste management by integrating koch snowflake fuzzy sets and euclidean expert weighting
The most critical factors must be determined to effectively manage environmental wastes generated during the extraction of rare elements. Otherwise, businesses may not be able to effectively manage their limited financial and human resources. This situation negatively affects the financial performance of the projects. The limited number of existing studies in the literature causes environmental risks to be insufficiently managed and recycling pro…
Evaluation of Qualifications of Emergency Assembly Areas in Istanbul using the Spherical Fuzzy Mairca Process
Disasters are inevitable facts of life. It is difficult to deal with disasters and emergencies because of the uncertainties they contain. Managing disasters and emergencies requires integrity with before and after processes. No matter how well-informed people may be when faced with a disaster, they may not act consciously due to the shock of the event, fear and anxiety. Therefore, the recovery phase after a disaster is very important. In the pres…
Determining the social exclusion levels of international students from different regions using the Mairca and Topsis method
This study aims to determine the regions of Turkey in which visiting international students experience the highest levels of social exclusion. Based on non-numerical data and expert opinions, in order to help researchers and policymakers to understand this sector is considered the most significant contribution of this study to the field. According to the results obtained in the study, it was determined that the primary group of students coming fr…
No prominent works on this page.
Determining the social exclusion levels of international students from different regions using the Mairca and Topsis method
This study aims to determine the regions of Turkey in which visiting international students experience the highest levels of social exclusion. Based on non-numerical data and expert opinions, in order to help researchers and policymakers to understand this sector is considered the most significant contribution of this study to the field. According to the results obtained in the study, it was determined that the primary group of students coming fr…
Evaluation of Qualifications of Emergency Assembly Areas in Istanbul using the Spherical Fuzzy Mairca Process
Disasters are inevitable facts of life. It is difficult to deal with disasters and emergencies because of the uncertainties they contain. Managing disasters and emergencies requires integrity with before and after processes. No matter how well-informed people may be when faced with a disaster, they may not act consciously due to the shock of the event, fear and anxiety. Therefore, the recovery phase after a disaster is very important. In the pres…
Role of internal audits in strengthening environmental, social and governance (ESG) performance for sustainable corporate growth
A novel artificial intelligence-based fuzzy decision-making approach to carbon capture technology investment performance
Integrating psychological factors into AI-supported decision-making for reverse brain drain policies
Scenario-driven decision models for rare element waste management by integrating koch snowflake fuzzy sets and euclidean expert weighting
The most critical factors must be determined to effectively manage environmental wastes generated during the extraction of rare elements. Otherwise, businesses may not be able to effectively manage their limited financial and human resources. This situation negatively affects the financial performance of the projects. The limited number of existing studies in the literature causes environmental risks to be insufficiently managed and recycling pro…
Addressing the missing gap in uninterrupted solar energy research through an automated literature mining and fuzzy decision support system
This study addresses the uncertainty problem in determining the most effective strategies for uninterrupted solar energy production. A significant gap in the literature is the limited number of comprehensive, data-driven analyses regarding which criteria should be prioritized in solar energy projects, and which next-generation technologies offer more suitable alternatives. Therefore, the aim of this study is to develop an integrated framework com…
Addressing the missing psychological priorities in green consumption through an original fuzzy multi-criteria decision model
Although increasing green consumption plays a critical role in solving today's environmental problems, a significant problem remains the insufficient clarification of the relative importance of the psychological factors shaping this behavior. While numerous psychological factors influencing green consumption have been identified in the current literature, there are limited studies on which of these factors are more critical and which strategies s…
A behavior-sensitive multi-criteria framework for policy evaluation
This study evaluates the 8-year performance of the EU-Türkiye Consensus. It employs a multi-criterion, behavior-based decision model to address uncertainties surrounding its future. The core problem is that the Consensus has been examined in a fragmented manner across legal, political, diplomatic, and humanitarian dimensions. As a result, there is no comprehensive scientific framework to identify the most sustainable strategic option. Existing li…
Prioritizing resilience-related organizational practices in SMEs
Small and medium-sized enterprises (SMEs) increasingly operate under conditions of uncertainty driven by technological change, environmental turbulence, and unexpected disruptions. While organizational resilience has received growing scholarly attention, limited research has examined how SMEs prioritize alternative resilience-related organizational practices when faced with multiple competing options and constrained resources. This study addresse…
Psychology meets artificial intelligence
Decision-making in highly complex environments, such as environmental investment planning, often involves uncertainty, competing priorities, and the integration of both technical and human factors. From a psychological perspective, this raises challenges related to cognition, judgment, and the interaction between human experts and computational systems. Addressing these issues, this study introduces a novel human-centered decision-making framewor…
Human–computer collaboration in decision-making
There is still no consensus in the literature on how renewable energy investments aligned with the Sustainable Development Goals (SDGs) should be prioritized. This lack of clarity creates uncertainty for policymakers and investors and weakens the long-term sustainability perspective in decision-making. To address this gap, this study develops a novel Dynamic Multi-Facet Fuzzy Set (DMFFS)–based decision-making model to identify the most appropriat…
Optimizing leadership selection for inclusive climate
Establishing an inclusive climate in organizations has become a strategic priority for increasing employee engagement, effectively managing diversity, and achieving sustainable organizational success. Much of the existing research either focuses on a single leadership type or fails to consider the relationship between leadership and inclusive climate with a holistic approach. The aim of this study is to identify the most appropriate leadership ty…
An artificial intelligence-augmented multi-criteria decision framework for identifying critical determinants of anti-immigrant attitudes in societal systems
Anti-immigrant attitudes define prejudiced, exclusionary, and discriminatory approaches toward immigrants, and these attitudes have multilayered economic, psychological, and social consequences that threaten social cohesion in societies. The fundamental problem of this study is that, despite the multidimensional nature of the factors fueling anti-immigrant sentiment, there is no clear consensus in the literature on which of these factors are most…
Ranking work–family conflict management strategies through a novel multi-criteria decision-making model
Work family conflict has become a critical organizational problem as increasing job demands and changing work structures intensify the pressure on employees' personal lives. The core challenge in this context is determining which organizational strategies should be prioritized to effectively reduce stress and role incompatibility under limited resources. Although numerous studies discuss work family conflict, the literature lacks systematic and q…
Rethinking energy investment policies during economic downturns using an advanced hybrid decision-making model
Economic recessions restrict public and private energy investments by tightening budgets, increasing uncertainty, and intensifying the need for strategic resource allocation, yet the literature offers limited guidance on which criteria should be prioritized under such conditions. This study aims to develop a structured and data-driven approach to identify the most critical factors shaping energy investment decisions during economic downturns. To …
Towards Evidence-Based Migration Governance
Fuzzy logic (10 works) · Energy and Environmental Sustainability (4 works) · Expert system (3 works) · Fuzzy set (3 works) · Integrated Energy Systems Optimization (3 works) · Multi-Criteria Decision Making (3 works) · Sustainable development (3 works) · Artificial Intelligence (2 works) · Business (2 works) · Computer Science (2 works)