Taçoğlu, Caner
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Taçoğlu, C.
Tacoglu, Caner
Tacoglu, Caner
Job Title
Email Address
caner.tacoglu@ieu.edu.tr
Main Affiliation
05.09. Industrial Engineering
Status
Current Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
1NO POVERTY
0
Research Products
2ZERO HUNGER
0
Research Products
3GOOD HEALTH AND WELL-BEING
0
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4QUALITY EDUCATION
1
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5GENDER EQUALITY
0
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6CLEAN WATER AND SANITATION
0
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7AFFORDABLE AND CLEAN ENERGY
1
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8DECENT WORK AND ECONOMIC GROWTH
1
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9INDUSTRY, INNOVATION AND INFRASTRUCTURE
2
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10REDUCED INEQUALITIES
0
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11SUSTAINABLE CITIES AND COMMUNITIES
0
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12RESPONSIBLE CONSUMPTION AND PRODUCTION
1
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13CLIMATE ACTION
0
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14LIFE BELOW WATER
0
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15LIFE ON LAND
0
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16PEACE, JUSTICE AND STRONG INSTITUTIONS
0
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17PARTNERSHIPS FOR THE GOALS
0
Research Products
Documents
7
Citations
143
h-index
4
Documents
0
Citations
0
Scholarly Output
6
Articles
5
Views / Downloads
13/18
Supervised MSc Theses
0
Supervised PhD Theses
0
WoS Citation Count
47
Scopus Citation Count
47
Patents
0
Projects
0
WoS Citations per Publication
7.83
Scopus Citations per Publication
7.83
Open Access Source
3
Supervised Theses
0
| Journal | Count |
|---|---|
| Eskısehır Osmangazı Unıversıtesı Iıbf Dergısı-Eskısehır Osmangazı Unıversıty Journal of Economıcs And Admınıstratıve Scıences | 1 |
| Internatıonal Journal of Envıronmental Research And Publıc Health | 1 |
| Journal of Economic and Administrative Sciences | 1 |
| Journal Of Organizational Behavior Research | 1 |
| Lecture Notes in Networks and Systems | 1 |
Current Page: 1 / 1
Scopus Quartile Distribution
Competency Cloud
6 results
Scholarly Output Search Results
Now showing 1 - 6 of 6
Article Citation - WoS: 1Quantifying Return and Volatility Spillovers Among Major Cryptocurrencies: a Var-Bekk Analysis(Eskisehir Osmangazi Univ, Fac Education, 2022) Vardar, Gülin; Tacoglu, Caner; Aydogan, BernaThis study investigates mean and volatility spillover effects among eight major cryptocurrencies; Bitcoin, Ethereum, Litecoin, Ripple, Stellar, Bitcoin Cash, Cardano and EOS utilizing VAR-BEKK-GARCH model. The results point out that there are bidirectional and unidirectional spillover effects among these major cryptocurrencies. Moreover, the findings indicate that some cryptocurrencies are the transmitter, while others act as a receiver and among all, Litecoin is the highest transmitter, and Stellar is the only one that acts as a receiver. The interdependence among cryptocurrencies supports that they are becoming more integrated and thereby, provides important investment strategies for investors and policy implications for regulators.Article Citation - Scopus: 2Analysis of the Factors Affecting Organizational Commitment: an Empirical Application(Deniz Publication, 2021) Ceylan, C.; Taçoğlu, C.; Kartal, H.The purpose of this study is to explore the factors affecting organizational commitment, to analyze relations between these factors by introducing a new model, and to reveal how these factors specifically affect work commitment and intention to quit the job. The factors were pooled after extensive literature research. A two-phase pilot study was applied, along with normality tests, factor analysis, discriminant validity, and regression analysis. The final form of the survey was conducted with 205 participants actively employed in an organization. Important findings of the study suggest that work commitment is positively affected by organizational trust, the importance of the job, affective commitment, normative commitment, and negatively affected by self-confidence. Organizational trust and affective commitment negatively affect intention to quit, whereas self-confidence and talent positively affect intention to quit. By introducing an originally proposed organizational commitment model, this study presents an up-to-date analysis of some overlooked factors in the literature and suggests new factors potentially affecting organizational commitment, work commitment, and intention to quit. The outputs of this study can be utilized by organizations in making strategic decisions about indubitably one of the most precious assets of organizations: employees. © 2021, Author. All rights reserved.Article Citation - WoS: 20Volatility Spillovers Among G7, E7 Stock Markets and Cryptocurrencies(Emerald Publishing, 2024) Aydoğan, B.; Vardar, G.; Tacoglu, C.Purpose – The existence of long memory and persistent volatility characteristics of cryptocurrencies justifies the investigation of return and volatility/shock spillovers between traditional financial market asset classes and cryptocurrencies. The purpose of this paper is to investigate the dynamic relationship between the cryptocurrencies, namely Bitcoin and Ethereum, and stock market indices of G7 and E7 countries to analyze the return and volatility spillover patterns among these markets by means of multivariate (MGARCH) approach. Design/methodology/approach – Applying the newly developed VAR-GARCH-in mean framework with the BEKK representation, the empirical results reveal that there exists an evidence of mean and volatility spillover effects among Bitcoin and Ethereum as the proxies for the cryptocurrencies, and stock markets reviewed. Findings – Interestingly, the direction of the return and volatility spillover effects is unidirectional in most E7 countries, but bidirectional relationship was found in most G7 countries. This can be explained as the presence of a strong return and volatility interaction among G7 stock markets and crypto market. Originality/value – Overall, the results of this study are of particular interest for portfolio management since it provides insights for financial market participants to make better portfolio allocation decisions. It is also increasingly important to understand the volatility transmission mechanism across these markets to provide policymakers and regulatory bodies with guidance to eliminate the negative impact of cryptocurrency's volatility on the stability of financial markets. © 2021 Emerald Publishing LimitedArticle A Hybrid SME Competitiveness Index for Production-Oriented SMEs: Evidence from Knitting Firms(Emerald Group Publishing Ltd, 2026) Tacoglu, Caner; Ceylan, CemilPurposeThis study presents a novel framework for measuring the competitiveness of small and medium-sized enterprises in the production sector. It addresses the gap in existing approaches by focusing on firm-level assessment rather than national or sectoral perspectives. The aim of this study is to identify the most influential factors affecting small and medium-sized enterprise (SME) competitiveness in a specific subsector and provide practical guidance for managers and policymakers.Design/methodology/approachThis study applies a combination of expert consultation and quantitative analysis. A Delphi process is used to select and define relevant indicators, while fuzzy DEMATEL is applied to understand the relationships among variables and determine their relative importance. The resulting competitiveness index is tested on textile firms operating in the knitting subsector.FindingsThe analysis reveals that firms often overlook highly important variables, such as employee skills and proactive strategies. On the other hand, factors such as cost and delivery receive more attention than their strategic weight warrants. The index helps identify such imbalances and offers potential for benchmarking.Originality/valueThis study contributes a new, empirically validated SME Competitiveness Index (SMECI) tailored to the production sector. By integrating fuzzy logic and expert-driven scaling, the SMECI accounts for variable interdependencies and sectoral details, thereby overcoming the limitations of existing indices that are static in nature. Its functionality at both macro and microlevels enables broad competitiveness assessments and detailed firm-level diagnostics. This approach enhances decision-making for SME managers and policymakers, providing a replicable model for measuring competitiveness in other production-intensive sectors.Conference Object Citation - Scopus: 1An International Hub Airport Selection Problem Using Fuzzy Analytic Hierarchy Process (f-Ahp): Real Case Study in Turkey(Springer Science and Business Media Deutschland GmbH, 2023) Tan, Taçoğlu, M.; Paldrak, M.; Örnek, M.A.; Taçoğlu, C.; Tan Taçoğlu, MelisIn recent years, air transportation volume has been significantly growing with the help of recent technological development related to the airline industry. Airline companies utilize their scarce resources such as aircraft, crew, and slot time based on airport regulation and capacity constraints efficiently to meet passenger demand; however, the limited capacity of the airport’s immobile resources leads airlines to search for new hub alternatives. Hub selection is one of the most crucial decisions for airline companies’ strategy and also the selected hub’s future planning and operational strategy. This research aims to propose a solution method for selecting the best potential hub alternative among many potential hubs in a single hub system considering six main criteria: the potential hub’s city population, the distance between the existing hub (İstanbul airport), the capacity, the intensity, the distance between city location, and the accessibility. F-AHP is used as a solution methodology to evaluate each criterion and the proposed hubs. The computational experiment is conducted based on the potential twelve international airports in Turkey for the selection of an international hub airport considering the six aforementioned criteria. The results indicate that accessibility of the airport is the most crucial criterion among the six criteria, and Izmir Adnan Menderes Airport is the best eligible alternative to be an international hub. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.Article Citation - WoS: 26Citation - Scopus: 44Big Data-Enabled Solutions Framework To Overcoming the Barriers To Circular Economy Initiatives in Healthcare Sector(Mdpi, 2021) Kazancoglu, Yigit; Sagnak, Muhittin; Lafci, Cisem; Luthra, Sunil; Kumar, Anil; Tacoglu, CanerEver-changing conditions and emerging new challenges affect the ability of the healthcare sector to survive with the current system, and to maintain its processes effectively. In the healthcare sector, the conservation of the natural resources is being obstructed by insufficient infrastructure for managing residual waste resulting from single-use medical materials, increased energy use, and its environmental burden. In this context, circularity and sustainability concepts have become essential in healthcare to meliorate the sector's negative impacts on the environment. The main aim of this study is to identify the barriers related to circular economy (CE) in the healthcare sector, apply big data analytics in healthcare, and provide solutions to these barriers. The contribution of this research is the detailed examination of the current healthcare literature about CE adaptation, and a proposal for a big data-enabled solutions framework to barriers to circularity, using fuzzy best-worst Method (BWM) and fuzzy VIKOR. Based on the findings, managerial, policy, and theoretical implementations are recommended to support sustainable development initiatives in the healthcare sector.
