Ayrancı, Gönül

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14365/7533
Name Variants
Ayranci, Gonul
Ayranci, G
Job Title
Email Address
gonul.ayranci@ieu.edu.tr
Main Affiliation
17.15. Banking and Insurance
Status
Current Staff
Website
ORCID ID
0000-0002-0699-7783
Scopus Author ID
Turkish CoHE Profile ID
B89582C23D7F86DA
Google Scholar ID
7r0QiXMAAAAJ
WoS Researcher ID
MZR-6427-2025
Files
GonulAyranci.jpg (10.83 KB)

Sustainable Development Goals

SDG data is not available
This researcher does not have a Scopus ID.
Documents

2

Citations

0

Go to WoS profile
Scholarly Output

2

Articles

2

Views / Downloads

2/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

0

Scopus Citation Count

0

WoS h-index

0

Scopus h-index

0

Patents

0

Projects

0

WoS Citations per Publication

0.00

Scopus Citations per Publication

0.00

Open Access Source

0

Supervised Theses

0

JournalCount
International Journal of Manufacturing Research1
Production Planning & Control1
Current Page: 1 / 1

Scopus Quartile Distribution

Competency Cloud

GCRIS Competency Cloud

Filters

2024 - 20252
Reset filters

Settings

Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Article
    Risks to Energy Efficiency in Supply Chain Resilience: From an Emerging Economy Context
    (Taylor & Francis Ltd, 2025) Ayranci, Gonul; Ozbiltekin-Pala, Melisa; Mangla, Sachin Kumar; Kazancoglu, Yigit
    Supply chains, involving multiple stakeholders and complex operations, are vulnerable to disruptions; therefore, ensuring their resilience is crucial. Recently, the concept of an energy-efficient supply chain has gained attention, because it reduces costs and supports social and environmental development. However, many risks arise while improving energy efficiency in supply chains, and it is important to identify these risks, particularly in emerging economies. This study identifies these risks and their interrelations through literature review and expert opinions. By integrating Bayesian Belief Network and Monte Carlo Simulation, scenario analyses are conducted to explore the possible consequences of these risks, and the study finds that natural events are the most critical risks to energy efficiency in supply chain resilience. It contributes to the small body of literature on risks to energy efficiency in supply chain resilience, and innovatively applies scenario analysis to these risks, providing managers and practitioners with valuable insights.
  • Thumbnail Image
    Article
    Evaluating Human-Centric Cybersecurity Risks in the Manufacturing Industry
    (inderscience Enterprises Ltd, 2024) Ayrancı, Gönül; Ozbiltekin-Pala, Melisa; Ozkan-Ozen, Yesim Deniz
    With rapidly developing technology and digitalisation, the importance of cybersecurity is increasing, underlining the importance of human-centric cybersecurity risks, especially in the manufacturing industry. This study aims to reveal the sector's human-centric cybersecurity risks due to the manufacturing industry's complex processes and continuity-based structure. In this study, eight risks were identified and evaluated using the fuzzy CRITIC method. This study identified the top three human-centric cybersecurity risks in the manufacturing industry as follows: 'employee resistance to cybersecurity practices and data privacy', 'lack of employee training and education on cybersecurity' and 'lack of human-machine integration'. This comprehensive analysis of human-centric cybersecurity risks in the manufacturing industry highlights the need for cybersecurity strategies to include human-centric measures. The results suggest that managers, security professionals, and practitioners develop an effective combat strategy against human-centric cybersecurity risks in the manufacturing industry.