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Sıcakyüz, Çiğdem

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Profile URL
https://hdl.handle.net/20.500.12416/8902
Name Variants
Sicakyuz, Cigdem
Job Title
Dr. Öğr. Üyesi
Email Address
csicakyuz@cankaya.edu.tr
Main Affiliation
Endüstri Mühendisliği
Status
Current Staff
Website
ORCID ID
0000-0002-1076-7980
Scopus Author ID
58099476800
Turkish CoHE Profile ID
324039
Google Scholar ID
bnp2fx4AAAAJ
WoS Researcher ID
AEJ-8560-2022

Sustainable Development Goals

13

CLIMATE ACTION
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0

Research Products

8

DECENT WORK AND ECONOMIC GROWTH
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0

Research Products

3

GOOD HEALTH AND WELL-BEING
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0

Research Products

15

LIFE ON LAND
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0

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17

PARTNERSHIPS FOR THE GOALS
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1

Research Products

14

LIFE BELOW WATER
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0

Research Products

4

QUALITY EDUCATION
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0

Research Products

11

SUSTAINABLE CITIES AND COMMUNITIES
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1

Research Products

6

CLEAN WATER AND SANITATION
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0

Research Products

10

REDUCED INEQUALITIES
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0

Research Products

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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1

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12

RESPONSIBLE CONSUMPTION AND PRODUCTION
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0

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2

ZERO HUNGER
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0

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1

NO POVERTY
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7

AFFORDABLE AND CLEAN ENERGY
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1

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5

GENDER EQUALITY
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0

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16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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0

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Documents

13

Citations

289

h-index

9

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Documents

10

Citations

158

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Scholarly Output

3

Articles

3

Views / Downloads

6/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

7

Scopus Citation Count

19

WoS h-index

2

Scopus h-index

2

Patents

0

Projects

0

WoS Citations per Publication

2.33

Scopus Citations per Publication

6.33

Open Access Source

1

Supervised Theses

0

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JournalCount
Asia-Pacific Financial Markets1
International Journal of Environmental Science and Technology1
International Journal of Knowledge-Based and Intelligent Engineering Systems1
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Now showing 1 - 3 of 3
  • Thumbnail Image
    Article
    Citation - WoS: 4
    Citation - Scopus: 10
    Prioritizing Critical Success Factors for Wind Turbine Suppliers: a Neutrosophic Hybrid Dematel and Anp Approach
    (Springer, 2025) Edalatpanah, S. A.; Sicakyuz, C.; Nourkhah, S. A.; Pamucar, D.
    The global energy landscape is experiencing a transformative shift toward sustainability, with wind energy becoming an indispensable clean energy source crucial for combating climate change. As the number of wind turbine suppliers increases, stakeholders face significant challenges in selecting the most suitable partners, which can directly impact project outcomes and overall efficiency. This study aims to systematically identify and prioritize the critical success factors for wind turbine suppliers, facilitating effective decision-making in supplier selection. To achieve this, we present an innovative hybrid Decision Making Experiment and Evaluation Laboratory Method and Analytic Network Process framework, enhanced by a neutrosophic fuzzy environment. Our findings reveal that key factors such as component price (C1) with a weight of 0.055, operation and maintenance cost (C3) with 0.049, and annual energy production (C5) with 0.042 play significant roles in the decision-making process. Among these, component price (C1) is the most critical factor, indicating that cost considerations are paramount in the decision-making process. Notably, the findings emphasize the importance of optimizing supplier relationships, particularly in terms of service quality and technical competence, to ensure successful project implementation and long-term sustainability in the rapidly evolving renewable energy market. This study provides essential insights for both academic research and industry practice. Academically, it fills a critical gap in the literature on wind energy supplier selection by presenting a novel methodology that can guide future research. Practically, it equips industry stakeholders with actionable data to optimize supplier relationships, ultimately enhancing project outcomes and long-term sustainability. These findings are particularly relevant for stakeholders in emerging markets, where cost management and supplier selection are critical to project viability. By optimizing supplier selection, this study contributes to the broader goal of achieving sustainability in renewable energy projects.
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    Article
    Citation - WoS: 3
    Citation - Scopus: 9
    Data Mining Applications in Risk Research: a Systematic Literature Review
    (Sage Publications inc, 2025) Sicakyuz, Cigdem; Edalatpanah, Seyyed Ahmad; Pamucar, Dragan
    Despite the rising literature on data mining (DM) approaches, there is a lack of a complete literature review and categorization system within risk research. This paper presents the first recognized academic literature review on the application of data mining tools in risk research provides an up-to-date SCOPUS literature database. Based on bibliometric analysis, 5422 papers related torisk were identified from a total of 77,410 studies on data mining and thoroughly analyzed. Each of the selected 5422 papers was classified into four risk categories: global risk, public health risk, molecular and biomedical risk, and pharmaceutical risk. Each primary risk category was further subdivided to highlight the specific research focuses within each domain. Global risks encompass business, environmental, and social risks. Scholars have predominantly focused on the banking, market, and construction sectors within business risk, while environmental risk includes catastrophe-related risks. Social risks encompass areas such as education, traffic safety, and transportation concerns. Clinical data is usually employed in public health risk research, while various radiomic databases are utilized in genetic and molecular biology research. In pharmaceutical research, DM is primarily used to detect adverse drug effects. According to the findings of this review, the fields of computer science and medicine received the most significant research attention. The review also discusses limitations and provides a roadmap to guide future research, aiming to enhance knowledge development related to the application of data mining techniques in risk-related studies.
  • Thumbnail Image
    Article
    Supply Chain Network Design Focused on Financial Measures and Performance Metrics: a Systematic Literature Review
    (Springer, 2025) Abbasi, Sina; Sicakyuz, Cigdem
    Through an extensive literature review, this study determines which metrics and measures are relevant for supply chain (SC) performance. We reviewed several universal papers published between 2012 and 2023. A selection of review papers was made according to the methods, contribution, and scope for measuring SC performance metrics and measures. By reviewing the literature, this survey prepares benchmarks and approaches for determining SC performance from a financial viewpoint. As core financial measures of SC performance, we investigation looked at inventory turnover ratios, logistics costs, and cash flows expressed as return on investment (ROI), return on equity (ROE), return on asset (ROA), profit margins, assets/liabilities, and working capital. Additionally, the study determined that key non-financial measures of SC performance are customer satisfaction, delivery performance, quality services, improved relationships, and competitive advantages. According to the study, the appropriate approaches for assessing SC performance are financial and non-financial measures. Using the same approach, measures, and metrics at all SC nodes is essential to determine SC performance appropriately. Moreover, research is needed to identify the benefits and issues preventing SC measurements and performance across different industries.