Research PROJECTS

BUSSECON International Academy provided research grants for academy members in 2022

 

Green Flight Activity Research Project

The aviation industry harms the environment mainly via the creation of carbon emissions. Hence, action needs to be taken to ensure the environmental sustainability of the aviation industry such as the recycling of waste products, effective waste management and the introduction of energy efficiency measures. Simultaneously, the implementation of improvements to remediate such problems leads to the creation of additional costs for aviation companies. Companies thus need to conduct comprehensive priority analyses regarding the optimum strategy for the sustainability of the aviation industry.

However, there is a very limited number of studies in the literature that focused on which approach should be prioritized.

This Project aimed at the assessment of the viability of investing in so-called green flight measures in the aviation industry, for which a completely original decision-making model was created. 

Project Coordinator

Prof.Dr. Tamer Aksoy, School of Business at Ibn Haldun University, Istanbul Turkey

 

 

Tamer Aksoy received the B.A. degree in economics from the Faculty of Political Sciences, Ankara University, the M.A. degree in economics from Hacettepe University, and the Ph.D. degree in international banking from Gazi University. He has also a long and extensive work experience spanning over 33 years. He worked for Citicorp Investment Bank, Zurich, Switzerland for a short time. He served as an Internal Auditor, an Inspector (for ten years) and the Chief Audit Executive (CAE) of Group’s internal audit function (for 23 years) for OYAK. He worked for OYAK Maritime and Port Management Inc. of the Group as an Advisor to the CEO. He also acted as a member of the Board of Directors of various leading commercial companies in different sectors, such as Adana Cement, Bolu Cement, Goodyear Tyres-Turkey, Omsan Logistics, Oysa Cement, and Oyak Bank. Furthermore, including the Global Institute of Internal Auditors (IIA) in USA, he undertook many duties on voluntary-basis for local/international professional foundations as a committee member, the head of committee, a member of BODs/advisory boards. He has also international professional licenses of CPA, CFE, Independent Auditor (BD), and CRMA. He is a Professor of accounting and finance with the School of Business, Ibn Haldun University. His research interests include strategic auditing, internal control, financial accounting, financial management, corporate risk management, and international banking.
Project Team

Prof.Dr. Hasan Dincer, School of Business, Istanbul Medipol University, Turkey

Prof.Dr. Umit Hacioglu, School of Business,  Ibn Haldun University, Turkey

Doç.Dr. Serhat Yuksel, School of Business, Istanbul Medipol University, Turkey

Dr. Robin Maialeh, Research Institute for Labour and Social Affairs, Prague, Czech Republic

 

Project Grants

BUSSECON International Academy, Ibn Haldun University, Istanbul Medipol University

Main Project Output

Q1 SCI Scientific Paper published by IEEE 

T. Aksoy, S. Yüksel, H. Dınçer, U. Hacioglu and R. Maialeh, “Complex Fuzzy Assessment of Green Flight Activity Investments for Sustainable Aviation Industry,” in IEEE Access, vol. 10, pp. 127297-127312, 2022, doi: 10.1109/ACCESS.2022.3226584.

 

Big Data Analytics

The effect of big data analytics on firm performance and the effects of intermediary variables on this relationship are not yet clearly understood. Drawing on the dynamic capability view (DCV), this project investigates the mediating effect of a data-driven culture on the relationship between big data analytics management capability and firm performance (i.e., operational and financial performance). Drawing on survey data from 432 big data experts across 132 firms operating in Turkey, our findings indicate that big data analytics management capability and a data-driven culture have significant positive effects on both the operational and financial performance of a firm. In addition, a data-driven culture significantly mediates the links between big data analytics management capability and the measures of both operational and financial performance. Hence, our findings offer a valuable guide for managers utilizing big data or making big data investments to increase firm performance.

Project Coordinator

Prof.Dr. Cemal Zehir, Faculty of Economics and Administrative Sciences, Yildiz Technical University, 34220, Esenler, Istanbul, Turkey

Editor in Chief, International Journal of Business Ecosystem & Strategy, Bussecon International Acadely, School of Business, IHU, Turkey

Project Team

Prof.Dr. Ekrem Tatoğlu, School of Business, Ibn Haldun University; Academy Member at Bussecon International.

Dr. Tugba Karaboga, Faculty of Economics and Administrative Sciences, Yildiz Technical University, 34220, Esenler, Istanbul, Turkey

Dr. Aykut Karaboga, Faculty of Education, Amasya University, 05100, Amasya, Turkey

Dr. Abderaouf Bouguerra, Surrey Business School, University of Surrey, GU2 7XH, Guildford, UK

Scientific Research Output

Q1 SSCI Paper

Karaboga, T., Zehir, C., Tatoglu, E. et al. Big data analytics management capability and firm performance: the mediating role of data-driven culture. Rev Manag Sci (2022). https://doi.org/10.1007/s11846-022-00596-8

 

Green Project Investments
Green energy projects contribute to the sustainable economic development of countries by employing environmentally friendly energy production strategies. However, environmental priorities should be examined for this situation. Therefore, priority analysis should be executed for the environmental issues while implementing green investment projects.
This project proposes a unique decision-making model based on orthopair fuzzy sets and the golden cut degrees for the environmental priorities of green project investments.
The main novelty of the study stems from its proposed integrated model by equipping the Multi-SWARA, and TOPSIS based on the q-ROFSs technique with the golden cut. A set of criteria is identified for measuring the green projects’ environmental priorities while several project alternatives are also determined with the supporting literature. Appropriately, the extensions of Multi-SWARA and TOPSIS methods have been applied for weighting and ranking the factors in the integrated approach. Additionally, a comparative evaluation is performed with the help of the VIKOR method to rank the alternatives. Besides, the sensitivity analysis is applied to illustrate the coherency of the weighting results in the decision-making approach. Accordingly, 5 cases are considered to measure the effects of changing weight results. It is defined that this model is coherent and could be extended for further studies. It is concluded that reducing emissions is essential for the environmental priorities of green project investments. The most critical alternatives are pollution control, waste management, and eco-friendly transportation activities. Therefore, this study recommends that investors in green projects should prioritize the strategies for minimizing the carbon emissions problem. In this context, investing in renewable energy technologies will help green project investors solve this problem.

 

Project Coordinator

Prof.Dr. Hasan Dinçer, Istanbul Medipol University, Turkey

Hasan Dınçer received the B.A. degree in financial markets and investment management from Marmara University and the Ph.D. degree in finance and banking with his thesis titled The Effect of Changes on the Competitive Strategies of New Service Development in the Banking Sector. He has work experience in the finance industry as a portfolio specialist and his major academic studies focusing on financial instruments, performance evaluation, and economics. He is a Professor of finance with the Faculty of Economics and Administrative Sciences, Istanbul Medipol University, Istanbul, Turkey. He is the Executive Editor of the International Journal of Finance and Banking Studies (IJFBS) and the Founder Member of the Society for the Study of Business and Finance (SSBF) and academy member of Bussecon International. He has about 200 scientific articles and some of them is indexed in SSCI, SCI-Expended and Scopus. He is also an editor of many different books published by Springer and IGI
Project Team

Prof. Tamer Aksoy, Doc.Dr. Serhat Yuksel, Prof.Dr. Umit Hacioglu, Dr. Alexey Mikhaylov, and Dr. Sergey E. Barykin

Scientific Project Output

SCI Q1 Scientific Paper

Dınçer, H., Yüksel, S., Mikhaylov, A., Barykin, S. E., Aksoy, T., & Hacioğlu, Ü. (2022). Analysis of environmental priorities for green project investments using an integrated q-rung orthopair fuzzy modeling. IEEE Access, 10, 50996-51007.

 

Microgeneration Energy Technologies
Investments in microgeneration technologies help boost clean energy usage while reducing pollution. However, selecting the appropriate investment remains the most critical phase in developing these technologies.
This project aims to design a multi-criteria decision-making method (MCDM) to evaluate investment alternatives for microgeneration energy technologies. The proposed MCDM is based on a Multi Stepwise Weight Assessment Ratio Analysis (M-SWARA), to define the relative importance of the factors. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and q-Rung Orthopair Fuzzy Soft Sets (q-ROFSs) are used to rank investment alternatives.
Calculations were also made with Intuitionistic Fuzzy Sets (IFSs) and Pythagorean Fuzzy Sets (PFSs). For analysis, five evaluation criteria were selected based on the literature: frequency of maintenance, ease of installation, environmental adaptation, transmission technologies, and cost efficiency. Similarly, six alternatives for microgeneration technology investments were selected: ground source heat pumps, micro hydroelectric power, micro combined heat and power, micro bioelectrochemical fuel cell systems, small-scale wind turbines, and photovoltaic systems. The results showed that cost efficiency was the most significant factor in the effectiveness of microgeneration energy investments, and the photovoltaic system was the best alternative to increase microgeneration energy technology investment performance. Furthermore, the results were the same for the analyses made with IFSs and PFSs, demonstrating the reliability of the proposed method. Therefore, investors in microgeneration technologies should prioritize photovoltaic systems. This conclusion is supported by the fact that photovoltaic is a renewable energy source that has witnessed the most technological improvements and cost reductions over the last decade.
Project Cordinator

Prof.Dr. Hasan Dinçer, Istanbul Medipol University, Turkey

Hasan Dınçer received the B.A. degree in financial markets and investment management from Marmara University and the Ph.D. degree in finance and banking with his thesis titled The Effect of Changes on the Competitive Strategies of New Service Development in the Banking Sector. He has work experience in the finance industry as a portfolio specialist and his major academic studies focusing on financial instruments, performance evaluation, and economics. He is a Professor of finance with the Faculty of Economics and Administrative Sciences, Istanbul Medipol University, Istanbul, Turkey. He is the Executive Editor of the International Journal of Finance and Banking Studies (IJFBS) and the Founder Member of the Society for the Study of Business and Finance (SSBF) and academy member of Bussecon International. He has about 200 scientific articles and some of them is indexed in SSCI, SCI-Expended and Scopus. He is also an editor of many different books published by Springer and IGI
Project Team

Prof.Dr. Tamer Aksoy, School of Business,  Ibn Haldun University, Turkey

Prof.Dr. Umit Hacioglu, School of Business,  Ibn Haldun University, Turkey

Doç.Dr. Serhat Yuksel, School of Business, Istanbul Medipol University, Turkey

Scientific Project Output

Dinçer, H., Yüksel, S., Aksoy, T., & Hacıoğlu, Ü. (2022). Application of M-SWARA and TOPSIS methods in the evaluation of investment alternatives of microgeneration energy technologies. Sustainability, 14(10), 6271.