This page has only limited features, please log in for full access.
I am an engineer with four years of professional research experience in energy systems modelling low carbon pathways for power, transportation and buildings sectors. My expertise includes environmental economics, energy technology investment decisions under emission reduction goals. My principal research includes identifying relevant data and indicators to conduct country, regional and sector analyses to provide not only snapshots of the current status of the sectors but also explore long-term technology transitions and resulting emissions under different climate policy assumptions. My goal is to understand both current and emerging environmental challenges and opportunities considering the market, policy and regulatory trends of specific technologies for buildings, transportation and power sectors. My aim is also to create reports, presentations, data visualisation and infographics and scientific articles to present the insights for low carbon pathways to decision-makers and non-expert audiences.
Decarbonization of the energy system is urgent to avert the disruptions in the climate. Considering its share, the low carbon transition of the power sector is pivotal. Growing electricity demand poses unique challenges for Turkey to enact deep decarbonization. It is vital to uncover the contributing causes of emissions to provide strategic oversight for carbon management activities. This study investigates key drivers of CO2 emissions from the power sector using the Logarithmic Mean Divisia Index decomposition method. While efficiency improvement contributes to sustainable yet minor mitigation, changes in the fossil-fuel share indicate a cycling but significant overall impact.
Mine Isik; Izzet Ari; Kemal Sarica. Challenges in the CO2 emissions of the Turkish power sector: Evidence from a two-level decomposition approach. Utilities Policy 2021, 70, 101227 .
AMA StyleMine Isik, Izzet Ari, Kemal Sarica. Challenges in the CO2 emissions of the Turkish power sector: Evidence from a two-level decomposition approach. Utilities Policy. 2021; 70 ():101227.
Chicago/Turabian StyleMine Isik; Izzet Ari; Kemal Sarica. 2021. "Challenges in the CO2 emissions of the Turkish power sector: Evidence from a two-level decomposition approach." Utilities Policy 70, no. : 101227.
Like many cities around the world, New York City is establishing policies to reduce CO2 emissions from all energy sectors by 2050. Understanding the impact of varying degrees of electric vehicle adoption and CO2 intensities on emissions reduction in the city is critical. Here, using a technology-rich, bottom-up, energy system optimization model, we analyse the cost and air emissions impacts of New York City’s proposed CO2 reduction policies for the transportation sector through a scenario framework. Our analysis reveals that the electrification of light-duty vehicles at earlier periods is essential for deeper reductions in air emissions. When further combined with energy efficiency improvements, these actions contribute to CO2 reductions under the scenarios of more CO2-intense electricity. Substantial reliance on fossil fuels and a need for structural change pose challenges to cost-effective CO2 reductions in the transportation sector. Here we find that uncertainties associated with decarbonization of the electric grid have a minimum influence on the cost-effectiveness of CO2 reduction pathways for the transportation sector. City-scale emission scenarios are critical for transport and energy sector policy making. Using a model that accounts for building stock and transportation fleets, Isik et al. visualize emission changes in the transport sector in New York City under various electric vehicle adoption and grid decarbonization scenarios.
Mine Isik; Rebecca Dodder; P. Ozge Kaplan. Transportation emissions scenarios for New York City under different carbon intensities of electricity and electric vehicle adoption rates. Nature Energy 2021, 6, 92 -104.
AMA StyleMine Isik, Rebecca Dodder, P. Ozge Kaplan. Transportation emissions scenarios for New York City under different carbon intensities of electricity and electric vehicle adoption rates. Nature Energy. 2021; 6 (1):92-104.
Chicago/Turabian StyleMine Isik; Rebecca Dodder; P. Ozge Kaplan. 2021. "Transportation emissions scenarios for New York City under different carbon intensities of electricity and electric vehicle adoption rates." Nature Energy 6, no. 1: 92-104.
A thorough understanding of the drivers that affect the emission levels from electricity generation, support sound design and the implementation of further emission reduction goals are presented here. For instance, New York State has already committed a transition to 100% clean energy by 2040. This paper identifies the relationships among driving factors and the changes in emissions levels between 1990 and 2050 using the logarithmic mean divisia index analysis. The analysis relies on historical data and outputs from techno-economic-energy system modeling to elude future power sector pathways. Three scenarios, including a business-as-usual scenario and two policy scenarios, explore the changes in utility structure, efficiency, fuel type, generation, and emission factors, considering the non-fossil-based technology options and air regulations. We present retrospective and prospective analysis of carbon dioxide, sulfur dioxide, nitrogen oxide emissions for the New York State’s power sector. Based on our findings, although the intensity varies by period and emission type, in aggregate, fossil fuel mix change can be defined as the main contributor to reduce emissions. Electricity generation level variations and technical efficiency have relatively smaller impacts. We also observe that increased emissions due to nuclear phase-out will be avoided by the onshore and offshore wind with a lower fraction met by solar until 2050.
Mine Isik; P. Kaplan. Understanding Technology, Fuel, Market and Policy Drivers for New York State’s Power Sector Transformation. Sustainability 2020, 13, 265 .
AMA StyleMine Isik, P. Kaplan. Understanding Technology, Fuel, Market and Policy Drivers for New York State’s Power Sector Transformation. Sustainability. 2020; 13 (1):265.
Chicago/Turabian StyleMine Isik; P. Kaplan. 2020. "Understanding Technology, Fuel, Market and Policy Drivers for New York State’s Power Sector Transformation." Sustainability 13, no. 1: 265.
The transportation sector is one of the main contributors to global greenhouse gas (GHG) emissions. As the efforts towards emission mitigation increase, the expectation from the sector arises equally. In this analysis, the transportation sector of Turkey is studied to shed light on the future based on historical realizations. In this respect, the Logarithmic Mean Divisia Index (LMDI) method is used to assess and reveal the influential factors on CO2 emissions in the sector between 2000 and 2017. The emission intensity of the sector and fuel switching shows promising trends from 2000 through 2010, whereas growing preference for SUVs challenges emission reductions between 2010 and 2017. The results indicate that i) The transportation sector CO2 emissions are mainly driven upwards by economic growth, followed by population and emission intensity effects from 2000 to 2017 ii) The overall impact of transportation intensity shows significant reduction potential iii) Fuel switching incentives and fleet efficiency have a positive effect on emission mitigation from 2000 through 2010. However, this gain is reduced due to the rising popularity of SUVs in the rest of the analysis period. In this respect, CO2 emission mitigation in the transportation sector necessitates 1) careful planning of demand management for freight transportation including master designs production/manufacturing sites, material flows, and demand points coupled with economic activities 2) passenger transportation measures to reduce passenger car travel including zoning for public transit corridors, improved public transportation system 3) well-structured incentives on energy-efficient cars and clean energy technologies such as electric vehicles to convince individuals. Analysis can be generalized on a global scale due to the similar dynamics inherent in the sector.
Mine Isik; Kemal Sarica; Izzet Ari. Driving forces of Turkey's transportation sector CO2 emissions: An LMDI approach. Transport Policy 2020, 97, 210 -219.
AMA StyleMine Isik, Kemal Sarica, Izzet Ari. Driving forces of Turkey's transportation sector CO2 emissions: An LMDI approach. Transport Policy. 2020; 97 ():210-219.
Chicago/Turabian StyleMine Isik; Kemal Sarica; Izzet Ari. 2020. "Driving forces of Turkey's transportation sector CO2 emissions: An LMDI approach." Transport Policy 97, no. : 210-219.
Electricity is the rising force among worldwide end-uses of energy. To meet the increasing demand, accurate policy decisions should be made considering each country’s own dynamics. In fact, the selection of appropriate electricity generation resources necessitates the consideration of different aspects of the problem; hence, multi-attribute evaluation should be used. [34] conducted a multi-attribute study to select the appropriate electricity generation resource in Turkey. To analyze the potential changes that may occur in electricity generation policy due to the recent dynamics in Turkey, the electricity generation resource selection problem is revisited in this research. Alternatives to be evaluated as well as the criteria to be used for evaluation are initially determined based on the synthesis of a literature survey and expert opinions. The alternatives are identified as PV, wind, hydro, biomass, natural gas, coal, oil, and nuclear. The alternatives were evaluated using a new MADM approach based on the integration of Monte Carlo simulation, entropy, and Borda count methods. Besides updating data of Topcu and Ulengin, this new approach makes a significant contribution to the analysis stage as well. The results reveal that the primary electricity generation resources for Turkey should be a combination of renewable resources.
Ilker Topcu; Fusun Ulengin; Özgür Kabak; Mine Isik; Berna Unver; Sule Onsel Ekici. The evaluation of electricity generation resources: The case of Turkey. Energy 2018, 167, 417 -427.
AMA StyleIlker Topcu, Fusun Ulengin, Özgür Kabak, Mine Isik, Berna Unver, Sule Onsel Ekici. The evaluation of electricity generation resources: The case of Turkey. Energy. 2018; 167 ():417-427.
Chicago/Turabian StyleIlker Topcu; Fusun Ulengin; Özgür Kabak; Mine Isik; Berna Unver; Sule Onsel Ekici. 2018. "The evaluation of electricity generation resources: The case of Turkey." Energy 167, no. : 417-427.
Füsun Ülengin; Mine Işık; Şule Önsel Ekici; Özay Özaydın; Özgür Kabak; Y. Ilker Topçu. Policy developments for the reduction of climate change impacts by the transportation sector. Transport Policy 2018, 61, 36 -50.
AMA StyleFüsun Ülengin, Mine Işık, Şule Önsel Ekici, Özay Özaydın, Özgür Kabak, Y. Ilker Topçu. Policy developments for the reduction of climate change impacts by the transportation sector. Transport Policy. 2018; 61 ():36-50.
Chicago/Turabian StyleFüsun Ülengin; Mine Işık; Şule Önsel Ekici; Özay Özaydın; Özgür Kabak; Y. Ilker Topçu. 2018. "Policy developments for the reduction of climate change impacts by the transportation sector." Transport Policy 61, no. : 36-50.
Purpose The purpose of this paper is to investigate the interactions among enterprise resource planning (ERP) practices, supply chain orientation (SCO), and operational performance (OPER) by forming a macro perspective based on a scientific foundation powered by a resource-based view. Design/methodology/approach Exploratory and confirmatory factor analyses were used to verify the underlying dimensions of SCO and ERP practices. The covariance-based structural equation modeling was employed to test the direct and indirect effects of SCO and ERP practices constructs on OPER. Findings Results revealed that SCO has significant and positive effects on OPER, whereas ERP practices do not. Moreover, the indirect effect of ERP practices with the mediating effects of SCO is stronger than their direct effects. In addition, the origin of the ERP practices is found to be an important critical success factor. Originality/value Although much research has investigated the direct effect of ERP practices on performance, this study points out the importance of SCO in observing the stronger impacts of ERP practices.
Mehmet Fatih Acar; Selim Zaim; Mine Isik; Fethi Calisir. Relationships among ERP, supply chain orientation and operational performance. Benchmarking: An International Journal 2017, 24, 1291 -1308.
AMA StyleMehmet Fatih Acar, Selim Zaim, Mine Isik, Fethi Calisir. Relationships among ERP, supply chain orientation and operational performance. Benchmarking: An International Journal. 2017; 24 (5):1291-1308.
Chicago/Turabian StyleMehmet Fatih Acar; Selim Zaim; Mine Isik; Fethi Calisir. 2017. "Relationships among ERP, supply chain orientation and operational performance." Benchmarking: An International Journal 24, no. 5: 1291-1308.
This study offers a model which is able not only to measure the success of sponsorship but also fill the gap of a guide for the decision makers who are about to make sponsorship agreement. It investigates the jersey sponsors of football, men’s basketball, and women’s basketball of three major sports clubs in Turkey. Two separate surveys were conducted in the context of the study. The first was to prioritize evaluation criteria and applied to experts, sports managers, and company executives. The second was to determine the most appropriate sponsorship match between sports clubs and jersey sponsors as perceived by the fans. The fan survey was distributed both print and online, which was also advertised in sports newspapers and forums of fan clubs of the investigated teams. In the proposed model, the importance that was driven from the AHP was used in the TOPSIS method in order to evaluate the sponsorship matches.
Mine Isik; Ozay Ozaydin; Sebnem Burnaz; Y. Ilker Topcu. A Multi Criteria Decision Analysis Approach to Measure the Effectiveness of Sports Sponsorship. Developments in Marketing Science: Proceedings of the Academy of Marketing Science 2015, 564 -573.
AMA StyleMine Isik, Ozay Ozaydin, Sebnem Burnaz, Y. Ilker Topcu. A Multi Criteria Decision Analysis Approach to Measure the Effectiveness of Sports Sponsorship. Developments in Marketing Science: Proceedings of the Academy of Marketing Science. 2015; ():564-573.
Chicago/Turabian StyleMine Isik; Ozay Ozaydin; Sebnem Burnaz; Y. Ilker Topcu. 2015. "A Multi Criteria Decision Analysis Approach to Measure the Effectiveness of Sports Sponsorship." Developments in Marketing Science: Proceedings of the Academy of Marketing Science , no. : 564-573.
The constant increase in the importance and popularity of sports has created an industry of a scale of billion dollars. Lately, sports clubs have extended their views by opening sports schools, facilities, stadiums, merchandise stores and even restaurants in addition to their core activities in the area. This expansion makes for the need of a professional management for sports clubs, as they can immediately be considered commercial whereas, the structure of the value added factors is rather different than that of traditional enterprises. Given that, the principal elements of the sports are the human power as executives, players, and technical committee and traditional accounting methods are very inefficient to evaluate these valuable factors. Accordingly, the intellectual capital is far more important than financial capital in the case of the sports industry. The Value Added Intellectual Coefficient (VAICTM) method that quantifies and monitors the value creation efficiency in the company by using accounting-based figures is recognized as a potent instrument to assess the intellectual capital efficiency. This work points to explore the intellectual capital performance calculated by the VAICTM method for the sports clubs along the Istanbul Stock Exchange Market in Turkey namely; Fenerbahce, Galatasaray, Besiktas, and Trabzonspor. Additionally, the impact of VAICTM on firms’ leverage ratio, size, market value, profitability, and efficiency is investigated. To determine the effect of independent variables for the explanation of each performance indicator, six different multiple regression models are generated for twelve different hypotheses. Accordingly, it is found that, there are statistically significant relations between the size of the enterprise, market value and ROA; efficiency, VAICTM, and firm leverage. Finally the ordering with respect to the intellectual capital efficiency of the sports clubs is gathered. By this study it is aimed to create a map that shows the effects of the sports clubs’ qualifications on the intellectual capital efficiency, on the purpose of generating suggestions that ensure development on the clubs’ performance.
Nermin Nergis Yasar; Mine Isik; Fethi Calisir. Intellectual Capital Efficiency: The Case of Football Clubs. Procedia - Social and Behavioral Sciences 2015, 207, 354 -362.
AMA StyleNermin Nergis Yasar, Mine Isik, Fethi Calisir. Intellectual Capital Efficiency: The Case of Football Clubs. Procedia - Social and Behavioral Sciences. 2015; 207 ():354-362.
Chicago/Turabian StyleNermin Nergis Yasar; Mine Isik; Fethi Calisir. 2015. "Intellectual Capital Efficiency: The Case of Football Clubs." Procedia - Social and Behavioral Sciences 207, no. : 354-362.
Since the suppliers have become an important determinant of a company’s success, the selection and evaluation of suppliers plays a vital role in the performance of a company. Although the problem has been formulated extensively as a multi criteria decision making method in the literature, in this study we aim to use fuzzy clustering methodology to define different groups of customers based on their performances. The results of such, can be used by managers to identify similar performing suppliers and generate strategies based on these groups.
Mine Işık. Supplier Evaluation Using Fuzzy Clustering. Computational Intelligence 2014, 313, 61 -79.
AMA StyleMine Işık. Supplier Evaluation Using Fuzzy Clustering. Computational Intelligence. 2014; 313 ():61-79.
Chicago/Turabian StyleMine Işık. 2014. "Supplier Evaluation Using Fuzzy Clustering." Computational Intelligence 313, no. : 61-79.
Sustainability has gained tremendous importance and has been an important issue both for policy makers and practitioners. Realizing that the resources on the earth are limited, renewable energy alternatives have flourished and started to replace the conventional energy alternatives. Energy planning using different energy alternatives, for the long term becomes a vital decision. In this study, fuzzy multi criteria decision- making methodologies, axiomatic design (AD) and analytic hierarchy process (AHP) are utilized for ranking both renewable and conventional energy alternatives. In the first phase AHP is utilized to determine the importance of the criteria and in the second phase fuzzy AD is used to evaluate the experts’ assessments. In the case study, both conventional and renewable energy alternatives are evaluated according to technical, economical, air quality and site selection perspectives. The case study results show that the renewable energy alternatives (biomass, geothermal power and wind) perform better than the conventional energy resources.
Basar Oztaysi; Mine Isik; Secil Ercan. Multi-Criteria Decision Aid for Sustainable Energy Prioritization Using Fuzzy Axiomatic Design. Sustainable Practices 2013, 242 -260.
AMA StyleBasar Oztaysi, Mine Isik, Secil Ercan. Multi-Criteria Decision Aid for Sustainable Energy Prioritization Using Fuzzy Axiomatic Design. Sustainable Practices. 2013; ():242-260.
Chicago/Turabian StyleBasar Oztaysi; Mine Isik; Secil Ercan. 2013. "Multi-Criteria Decision Aid for Sustainable Energy Prioritization Using Fuzzy Axiomatic Design." Sustainable Practices , no. : 242-260.
A growing problem of the supply chain, the bullwhip effect is studied in this paper. In order to develop effective strategies to mitigate the bullwhip effect, we need to understand the factors that cause it and the interactions among them. This paper uses Fuzzy Cognitive Map to analyze the interaction among the causes of the bullwhip effect and determines the leading factors that are the root causes of this problem.
Secil Ercan; Mine Isik; Seyda S. Asan; Gulgun Kayakutlu; Cengiz Kahraman; Etienne E Kerre; Faik Tunc Bozbura. A FUZZY COGNITIVE MAP APPLICATION FOR CAUSES OF BULLWHIP EFFECT IN SUPPLY CHAINS. Uncertainty Modeling in Knowledge Engineering and Decision Making 2012, 7, 525 -530.
AMA StyleSecil Ercan, Mine Isik, Seyda S. Asan, Gulgun Kayakutlu, Cengiz Kahraman, Etienne E Kerre, Faik Tunc Bozbura. A FUZZY COGNITIVE MAP APPLICATION FOR CAUSES OF BULLWHIP EFFECT IN SUPPLY CHAINS. Uncertainty Modeling in Knowledge Engineering and Decision Making. 2012; 7 ():525-530.
Chicago/Turabian StyleSecil Ercan; Mine Isik; Seyda S. Asan; Gulgun Kayakutlu; Cengiz Kahraman; Etienne E Kerre; Faik Tunc Bozbura. 2012. "A FUZZY COGNITIVE MAP APPLICATION FOR CAUSES OF BULLWHIP EFFECT IN SUPPLY CHAINS." Uncertainty Modeling in Knowledge Engineering and Decision Making 7, no. : 525-530.
In this study we undertook the credit card fraud detection problem of a bank and tried to improve the performance of an existing solution. In doing so, we did not undertake the typical objective of maximizing the number of correctly classified transactions but rather we defined a new objective function where the misclassification costs are variable and thus, correct classification of some transactions are more important than correctly classifying the others. For this purpose we made an application of genetic algorithms which is a novel one in the related literature both in terms of the application domain and the cross-over operator used. The algorithm is applied to real life data where the savings obtained are almost three times the current practice.
M. Hamdi Ozçelik; Ekrem Duman; Mine Isik; Tugba Cevik. Improving a credit card fraud detection system using genetic algorithm. 2010 International Conference on Networking and Information Technology 2010, 436 -440.
AMA StyleM. Hamdi Ozçelik, Ekrem Duman, Mine Isik, Tugba Cevik. Improving a credit card fraud detection system using genetic algorithm. 2010 International Conference on Networking and Information Technology. 2010; ():436-440.
Chicago/Turabian StyleM. Hamdi Ozçelik; Ekrem Duman; Mine Isik; Tugba Cevik. 2010. "Improving a credit card fraud detection system using genetic algorithm." 2010 International Conference on Networking and Information Technology , no. : 436-440.