Ünlüsoy, Ömer Faruk

Profile Picture
Profile URL
https://hdl.handle.net/20.500.12573/2696
Name Variants
Unlusoy, OF
Unlusoy, Oemer Faruk
Unlusoy, Omer Faruk
Job Title
Arş. Gör.
Email Address
omerfaruk.unlusoy@agu.edu.tr
Main Affiliation
03.01. İşletme
Status
Current Staff
Website
ORCID ID
0000-0002-3252-5720
Scopus Author ID
58643580600
Turkish CoHE Profile ID
301108
Google Scholar ID
oeKMNScAAAAJ
WoS Researcher ID
JMA-8702-2023

Sustainable Development Goals

4

QUALITY EDUCATION
QUALITY EDUCATION Logo

0

Research Products

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
INDUSTRY, INNOVATION AND INFRASTRUCTURE Logo

0

Research Products

14

LIFE BELOW WATER
LIFE BELOW WATER Logo

0

Research Products

17

PARTNERSHIPS FOR THE GOALS
PARTNERSHIPS FOR THE GOALS Logo

0

Research Products
Documents

2

Citations

1

h-index

1

Go to Scopus profile
Documents

1

Citations

1

Go to WoS profile
Scholarly Output

3

Articles

2

Views / Downloads

11/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

1

Scopus Citation Count

1

WoS h-index

1

Scopus h-index

1

Patents

0

Projects

0

WoS Citations per Publication

0.33

Scopus Citations per Publication

0.33

Open Access Source

1

Supervised Theses

0

Google Analytics Visitor Traffic

JournalCount
Corporate Governance-The International Journal of Business in Society1
Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi1
Current Page: 1 / 1

Scopus Quartile Distribution

Competency Cloud

GCRIS Competency Cloud

Filters

202212023120241
Reset filters

Settings

Scholarly Output Search Results

Now showing 1 - 3 of 3
  • Thumbnail Image
    Book Part
    Portfolio Optimization: An Application on the BIST-30 Index
    (Peter Lang AG, 2023) Madenoğlu, Fatma Selen; Ünlüsoy, Ömer Faruk
  • Thumbnail Image
    Article
    Performance Evaluation of Energy Companies With a Novel Integrated Multi- Criteria Decision Making Method
    (Kafkas University Iibf, 2022) Madenoglu, Fatma Selen; Unlusoy, Omer Faruk; Yilmaz, Cagatay
    Financial statements are an important tool for assessing and analyzing an organization's financial performance. Financial performance analysis allows for an accurate and appropriate appraisal of an organization's performance. The evaluation procedure must be thoroughly stated because financial performance indicators represent a company's competitiveness. This study provides a novel integrated multi-criteria decision-making method for analyzing an organization's financial performance. The applicability of the proposed method is assessed employing financial ratios that are integrated to generate a financial performance score for eight well-known Turkish energy companies. The criteria are weighted using the entropy method in the proposed method. The multi- attributive border approximation area comparison (MABAC) method is used to rank the companies. As the weights of the criteria have an impact on the ranking outcomes, a sensitivity analysis of the weights is performed. We also exhibit a comparison analysis of energy company rankings to validate the proposed approach's results using four MCDM methods: ELECTRE, MAUT, TOPSIS, and WASPAS. In addition, an alternative weighting method is also used to evaluate the results. The results show that the proposed method is an effective MCDM for coping with evaluation problems.
  • Thumbnail Image
    Article
    Citation - WoS: 1
    Citation - Scopus: 1
    An Analysis of Annual Reports From the Sustainable Development Goals Perspective
    (Emerald Group Publishing Ltd, 2024) Hacihasanoglu, Erk; Unlusoy, Oemer Faruk; Madenoglu, Fatma Selen
    PurposeThe sustainable development goals (SDGs) are introduced to guide achieving the sustainable goals and tackle the global problems. United Nations members may perform activities to achieve the predetermined goals and report on their SDG activities. The comprehension and commitment of several stakeholders are essential for the effective implementation of the SDGs. Countries encourage their stakeholders to perform and report their activities to meet the SDGs. The purpose of this study is to investigate the extent to which corporations' annual reports address the SDGs to assess and comprehend their level of commitment to, priority of and integration of SDGs within their reporting structure. This research makes it easier to evaluate corporations' sustainability performance and contributions to global sustainability goals by looking at the extent to which they address the SDGs.Design/methodology/approachIn the study, it is revealed to what extent the reports meet the SDGs with the multilabel text classification approach. The SDG classification is carried out by examining the report with the help of a text analysis tool based on an enhanced version of gradient boosting. The implementation of a machine learning-based model allowed it to determine which SDGs are associated with the company's operations without the requirement for the report's authors to perform so. Therefore, instead of reading the texts to seek for "SDG" evidence as typically occurs in the literature, SDG proof was searched in relevant texts.FindingsTo show the feasibility of the study, the annual reports of the leading companies in Turkey are examined, and the results are interpreted. The study produced results including insights into the sustainable practices of businesses, priority SDG selection, benchmarking and business comparison, gaps and improvement opportunities identification and representation of the SDGs' importance.Originality/valueThe findings of the analysis of annual reports indicate which SDGs they are concerned about. A gap in the literature can be noticed in the analysis of annual reports of companies that fall under a particular framework. In addition, it has sparked the idea of conducting research on a global scale and in a time series. With the aid of this research, decision-making procedures can be guided, and advancements toward the SDGs can be achieved.