Research projects 

Bitcoin mining

Premier reference book series, editorial book serier, peer-reviewed chapters and sections

Cryptocurrencies

Selected peer-reviewed and original book series with chapters are indexed in Scopus

Airports

International collaboration with premier publishers and effective editorial workflows

Sustainability

Innovation, digitalization, social media marketing, organizational theory and design

Energy

Traditional finance, banking, investment, cryptocurrency markets and FinTech

Decision-making

Recent topics in energy economics, renewable energy, alternative energy routes

Research project series

Academy editors design scientific research projects in cooperation with journal authors, scholars and reviewers. In addition, SSBFNET and international universities cooperate in project development and funding stages. Project coordinators invite authors who successfully publish manuscripts in SSBFNET journals and release the forthcoming project details on social media. Finally, project coordinators publish research papers with project teams as project outcomes through SSBFNET journals, Editorial books, SCI-Expended and Scopus Journals.

Developing a knowledge-based learning ecosystem for young cryptocurrency traders (Open 2022)

The main objective of this project is to set up a knowledge-based ecosystem for young cryptocurrency traders. The project also aims to monitor the current market behavior of leading cryptocurrencies based on cost and benefit criteria to examine the relative importance of the technical and economic determinants before crafting and executing an effective trading strategy. 

Expected results!

The project will contribute to financial literacy as well as fintech literature. The project outcomes will guide young traders/investors in a fierce and risky investment environment by its outputs including SCI indexed papers, publications, in-house trainings, meetings, and conferences.

Project Coordinator

Umit Hacioglu, PhD

Professor of Finance and Applied Business, School of Business, Ibn Haldun University, Istanbul, Turkey

 

Project Grants and Sponsors

Ibn Haldun University

SSBFNET

 

Optimizing Aircraft Cargo Loading for Turkish Cargo (open 2022)

Research team aims at using real-life data to provide a solution for the load and balance problem of Turkish Airlines in their cargo department. The solution will be based on optimization with the use of a mathematical framework of mixed-integer linear programming formulation of the aircraft container loading. This model is preferred to the currently used manual or semi-manual methods as it will provide an optimal solution to the problem and shall ensure faster loadings with more safety in terms of airplane balancing, optimum utilization of airplane cargo space, and less consumption of fuel. This shall ensure an increase in revenue, reduction in cost, and survival of the cargo unit of Turkish Airlines as a profitable cargo company for the future. The project is conceptualized as an initial step of a more advanced project that comprises developing a software tool for Turkish Cargo that will be used for solving load and balance problem by cargo professionals.

Expected results!

The project will contribute to aviation field as well as operations literature. The project outcomes will guide practitioners by its outputs including SCI indexed papers, publications, in-house trainings, meetings, and conferences.

Project Coordinator

Ali Osman Kusakci, PhD

Professor of Operations Management, School of Business, Ibn Haldun University, Istanbul, Turkey

 

Project Grants and Sponsors

Ibn Haldun University

SSBFNET

 

Operational efficiencies of Turkish airports (closed 2022)

dThis project examined the operational efficiencies of 46 Turkish civil airports from 2015 to 2018. Researchers employed a novel hybrid methodology that combines Spherical Fuzzy Sets based Analytic Hierarchy Process (SFS-AHP) and Data Envelopment Analysis (DEA), which provides a solid basis for efficiency analysis. To this end, it can handle the hesitancy and uncertainty that the subjective evaluation process of input and output factors possess. Then, PR team use Self Organizing Maps (SOM), a machine learning method for clustering, to examine the effect of outlier airports on the efficiency scores. Finally, a posthoc analysis has been conducted with Tobit regression model to assess the explanatory power of external factors on the efficiency scores, i.e., tourism potential, number of international flights, distance to the city center, population, public/private ownership, and age of airport. The findings showed that 67.2% of the Turkish airports operate below the optimal efficiency level, and 93.5% of them should make considerable efforts to refine their operations by implementing managerial and structural changes to reduce input factors. The results also suggest that the airports located in high-density touristic areas achieve higher efficiency levels. Those relatively closer to the city center lead to more airport traffic, generating more revenues. Thus, both factors have a significant impact on efficiency scores. The study provided a novel efficiency analysis framework for airport operators and policy makers that helps them make informed decisions.

Project paper ( SCI Q1 Applied Soft Computing)
Project Coordinator

Mustafa Kemal Yilmaz, PhD

Professor of Finance, Dean at School of Business, Ibn Haldun University, Istanbul, Turkey

 

Project Grants and Sponsors

Ibn Haldun University

SSBFNET

 

Crafting performance-based cryptocurrency mining strategies (closed 2021)

Crafting and executing the best cryptocurrency mining strategy is vital to succeeding in cryptocurrency market investments. This study aims to identify the best cryptocurrency mining strategy based on service providers’ performance for cryptocurrency mining using a hybrid analytics approach, which integrates the Analytic Hierarchy Process (AHP) and Fuzzy-TOPSIS techniques, along with sensitivity analysis. The results show that hosted mining is the overall best cryptocurrency mining strategy, followed by home mining and cloud mining, based on both total cost of operations and cryptocurrency payout criteria. The empirical findings also suggest that the critical features of the highest performing service providers (i.e., hosted mining strategies and cloud mining) were their flexibility of contracts and the superior efficiency in terms of the daily payout. Finally, of the three location alternatives for home mining, Turkey ranks first compared to the U.S. and Europe.

Project paper ( SCI Q1 Decision Support System)
Project Coordinator

Umit Hacioglu, PhD

Professor of Finance and Applied Business at School of Business, Ibn Haldun University, Istanbul, Turkey

 

Project Grants and Sponsors

SSBFNET

 

Analysis on the renewable energy investment projects (closed 2021)

The aim of this project is to examine the cost management strategies of low-carbon renewable energy projects. This manuscript has important contributions by evaluating different cost-management to increase renewable energy investment projects. Owing to the analysis results of this study, the ways to minimize carbon emission problem can be presented. Additionally, another important contribution of this study is to generate a novel hybrid model based on Pythagorean fuzzy DEMATEL, TOPSIS and Shapley value to find appropriate policies to improve these projects. Furthermore, the accuracy of the proposed model is measured for each cooperative cost management strategy by using the VIKOR method. In addition, sensitivity analysis is also applied with 5 cases for both the TOPSIS and VIKOR methods by changing the weighting results of the criteria consecutively. It is defined that the proposed model is coherent and applicable for the further studies. Moreover, the ranking results of the sensitivity analysis are also consistent with the different cases. The results indicate that internal process has always the lowest costs for the solar energy alternatives. In addition, customer is the lowest cost factor with respect to the wind energy alternative. Thus, it is obvious that improving the qualification of the employees is essential for the improvement of the solar energy projects. Moreover, the effectiveness of the wind energy investments can be increased with the help of giving significance to the customers. Furthermore, it is also concluded that when the level of the cooperation increases, the efficiency of the investments can be higher. Another important point is that if the investors prefer to make weak or strong cooperative cost management strategy, they should primarily focus on solar energy projects because they have lower costs in comparison with other alternatives.

    Project paper ( SCI Q1 Energy Reports)
    Project Coordinator

    Hasan Dincer, PhD

    Professor of Finance and Energy Economics at School of Business, Medipol University, Istanbul, Turkey

     

    Project Grants and Sponsors

    SSBFNET

     

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