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• Acil Yardım ve Afet Yönetimi Bölümü
• Gümrük İşletme Bölümü
• Organik Tarım İşletmeciliği Bölümü
• Yönetim Bilişim Sistemleri Bölümü

Araştırmacılar(30)

• Aksakal, A.
• Aksakal, Vecihi
• Aşkın, Burak
• Ayberkin, Doruk
• Bilgin, Tuba
• Bülbül, Ali Savaş
• Calapoğlu, Alperen
• Camuzcuoğlu, Murat
• Can, Zehra
• Cengiz, Ibrahim
• Çelik, Pelin
• Çınar, Öznur
• Erkaya, Büşra
• Esmer, Yusuf
• Gıdık, Betül
• Göktaş, Bora
• Guleryuz, Didem
• Kadakal, Mahir
• Kökhan, Serhan
• Kul, Sinan
• Meşeli, Mustafa Bora
• Özdemir, Mustafa
• Özden, Didem Güleryüz
• Özkılbaç, Selda
• Sunaoğlu, Şerife Kazancı
• Tekce, Emre
• Yasulergezer, N.
• Yavuz, Aysegul
• Yıldırım, Ümit
• Yirik, Emirhan

• MakaleAçık Erişim2026/r/bayburt/14207
  Perception of Organizational Sycophancy in Universities: A Research on Academicians

  Aribas, Ayse Nihan; Esmer, Yusuf; Yüksel, Muhammet

  Today, it is seen that unethical behaviors are diversifying in universities, which are accepted as value-based organizations. Sycophancy, which is an unethical behavior in universities where the hierarchical structure is evident, emerges as an important issue in academic circles. The purpose of this study is to examine the perception of organizational sycophancy in universities. In the study, 36 academicians were interviewed within the scope of qualitative research method. The answers given by the academics were processed in depth within the scope of the themes determined in accordance with the content analysis technique. The results of the study showed that sycophantic behavior is quite common in universities, that it leads to various negative consequences in the academic environment, and that there are many factors that lead to sycophantic behavior. In conclusion, organizational sycophancy is a phenomenon intertwined with academic success, cooperation and organizational culture in universities. The role of sycophantic behaviors, the attitudes of academics towards managers and the place of these attitudes in organizational structures is a topic that requires more research in academic circles. In this context, studies on sycophancy in universities provide important information for academic success and improvement of the work environment.

  İncele
• MakaleAçık Erişim2026/r/bayburt/16087
  Yumurta Kalite Parametreleri Üzerine Farklı Yetiştirme Sistemleri ve Mevsimin Etkisi

  Tekce, Emre; Tekdemir, Orhan Atlıhan

  Bu araştırma, farklı yetiştirme sistemlerinde (kafes sistemi, aile tipi ve serbest gezen sistem) üretilen tavuk yumurtalarının dış ve iç kalite parametreleri üzerindeki mevsimsel (ilkbahar, yaz, sonbahar ve kış) etkisini incelemek amacıyla yapılmıştır. Çalışmada farklı yetiştirme sistemlerinden her bir mevsimde 50’şer adet olmak üzere toplam 600 adet yumurta toplanmıştır. Yumurta örneklerinin dış kalite parametreleri üzerine mevsimin etkisi incelendiğinde; kış mevsiminde kırılma mukavemeti, kabuk kalınlığı, sarı yüksekliği ve sarı indeksi önemli bulunmuştur (p

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• MakaleAçık Erişim2026/r/bayburt/16062
  Investigation of Managerial Practices Related to Calves’ Survival in Dairy Cattle Farms: The Case of Çorum Province

  Bayraktar, Bülent; Tekce, Emre; Aydemir, Seyma; Erdoğan, Yaşar; Aksakal, Vecihi; Ürüsan, Hılal; Kotan, Gökşad Cemil

  This study was conducted using a Cross-Sectional Observational Design to determine the effects of current managerial practices applied in commercial dairy cattle farms in Çorum Province on calf survival. The main material of the study consisted of 120 active farms, which represent the general structure of the dairy cattle sector in the region. Data were collected via face-to-face surveys, and the scale’s reliability was confirmed (Cronbach’s Alpha: 0.742) and suitability for Factor Analysis (KMO: 0.710) was verified. The results showed that while 88.33% of the farmers were members of a cooperative/union and 57.50% reported timely colostrum administration (within the critical <4 hours), these positive indicators contrasted sharply with low biosecurity and poor practical application. Specifically, calf mortality was high (42.50% of farms reported mortality rates >5%), mainly due to diarrhea and pneumonia, with 65.83% of deaths occurring in the first 30 days. Critical management deficiencies included uncontrolled colostrum feeding (85.00% via suckling, risking failure of passive transfer), severe biosecurity breaches (85.83% of calves housed with adult animals), and delayed introduction of solid feed. In conclusion, the primary challenge in Çorum is not lack of institutional access or basic knowledge, but rather a critical disconnection between theoretical knowledge and practical management implementation. To improve calf survival, management strategies should shift from traditional suckling to controlled colostrum protocols and emphasize the transition from group housing to individual calf hutches to ensure biosecurity.

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  AtıfOpenAlex1

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• MakaleAçık Erişim2026/r/bayburt/16058
  Comparative evaluation of antioxidant activity and phenolic content of Lupinus albus L. (white bitter lupin, termiye) grown in different regions of Türkiye by RP-HPLC-PDA

  Kara, Yakup; Can, Zehra

  Lupinus albus L. (white bitter lupin) is an important legume species widely cultivated in the Mediterranean region. This study aimed to comparatively evaluate the antioxidant capacity and phenolic composition of L. albus samples collected from different regions of Türkiye. Samples were obtained from Konya (Centre, Akşehir, Doğanhisar), Isparta (Central), and Burdur (Central). Total phenolic content, total flavonoid content and antioxidant activities of samples were determined using FRAP and DPPH assays. Additionally, the qualitative and quantitative profiles of phenolic compounds were analyzed by RP-HPLC-PDA. The total phenolic content was determined to be in the range of 1.96–2.47 mg GAE/g, whereas flavonoids were not detected in any of the samples. The results demonstrated that Lupinus albus L. extracts exhibited notable antioxidant activity, with FRAP values ranging from 1.14 to 1.95 μmol Fe²⁺/g and DPPH (SC₅₀) values ranging from 37.98 to 56.60. The phenolic composition analysis revealed the presence of major compounds including p-hydroxybenzoic acid, p-coumaric acid, ferulic acid, chrysin, pinocembrin, and galangin. Overall, the results indicate that L. albus exhibits moderate antioxidant potential despite its relatively low phenolic content, and its phenolic composition is influenced by geographical origin.

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• MakaleAçık Erişim2026/r/bayburt/15935
  General Structure of Cattle Farming Enterprises and Basic Care and Feeding Practices of Breeders: The Example of Çorum City Center

  Bayraktar, Bülent; Tekce, Emre; Aydemir, Seyma; Kotan, Gökşad Cemil; Kebapcı, Eren

  This study examined the general structure of cattle farming operations enterprises in the central district of Çorum city center and the basic care and feeding practices of breeders based on a survey conducted on 130 cattle enterprises between May and June 2023. Cattle enterprises in Çorum city center are generally small to medium-sized; 43.08% of these operations have a capacity of 11-30 animals, while 71.54% are owned by the breeders themselves. Breeders in these operations are predominantly male (82.31%), with the largest age group being between 31 and 40 years old, at 36.15%. Livestock farming is the population source of income for 83.85% of breeders, and their education levels are increasing, with 32.31% of breeders now high school graduates. Breeders combine family knowledge with information from official institutions and organizations as a source of knowledge and experience, and 58.46% rely on experience in their livestock feeding decisions. Animals are generally fed twice a day, with a 90% mix of roughage and concentrate, while automatic waterers (48.46%) are preferred for providing drinking water. However, since 67.69% of concentrate needs are met externally, there is external dependency, and 81.54% of breeders face a pasture shortage. 60.77% of the barns are located adjacent to or below the house, and reinforced concrete (67.69%) is used as the construction material. Regarding cleaning practices, straw (73.85%) is the most preferred bedding material in the barns, general cleaning is done 1-3 times a year, and manure is removed manually and deposited in the open areas (86.15%). 86.15% of breeders are members of breeder associations, and the most frequently received support is pedigree and preliminary pedigree support (89.23%). 68.46% of enterprises maintain an animal registration system. As a result, cattle enterprises in Çorum have a structure that combines traditional methods with modern practices. The breeders' high organizational awareness and propensity for record keeping indicate that the sector has potential for future growth. However, further improvements are needed in areas such as the use of professional nutrition resources and manure management.

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  İncele
• MakaleAçık Erişim2026/r/bayburt/15930
  Review of E-Commerce Literature: Inferences, Trends and Recommendations from Bibliometric Analysis

  Esmer, Yusuf

  Today, with the acceleration of digitalization, interest in e-commerce is increasing and the number of scientific studies on e-commerce is increasing. In this study, bibliometric analysis technique was used to determine the structure and trends of e-commerce literature. As a result of the search conducted in the Web of Science (WoS) database on April 9, 2025, a total of 15.670 data from the 1973-2025 time period were analyzed using VOSviewer and R Studio Bibliometrix software. The results reveal that e-commerce research focuses on technical infrastructure, managerial and social contexts. The prominence of China, the USA and the UK in scientific collaboration networks shows that e-commerce has become an interdisciplinary research area on a global scale. The link established with Sustainable Development Goals (SDGs) reveals the potential of e-commerce to produce ethical, environmental and social benefits. In line with these results, recommendations have been developed for increasing interdisciplinary integration, encouraging regionally focused research, expanding open access policies and shifting towards data-based methods. This study is expected to provide a strategic perspective to academia and policy makers by systematically presenting the current state of e-commerce literature.

  İncele
• MakaleAçık Erişim2026/r/bayburt/15923
  Role of artificial intelligence in the process of innovation management: dimensions, themes and examples

  Esmer, Yusuf

  This study aims to discuss the role of artificial intelligence (AI) in innovation management in a conceptual framework. In line with the purpose of the research, the conceptual analysis technique was used within the scope of qualitative research methods. In this context, the effects of AI on innovation management are explained based on relevant scientific research, reports and sectoral examples. How AI is integrated with innovation management processes, its application areas, and its potential future effects are examined. It has been concluded that AI affects important elements of organizations such as knowledge management, organizational flexibility, organizational innovation, decision-making, sustainable growth, organizational culture and strategic human resources management and that AI makes innovation management processes more efficient and effective with the opportunities it offers in areas such as big data analysis, machine learning and automation. The role of AI in innovation management stands out as an important element for modern organizations and reveals that research in this field should be examined in depth. This study examines the role of AI in innovation management processes within a conceptual framework and recommends that future studies conduct empirical research to expand on this topic. This study provides important in terms of revealing the role of AI in innovation management based on the relevant literature and with examples and will contribute to the literature.

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  İncele
• MakaleYalnız künye2026Scopus SJRQ2/r/bayburt/14320
  Analyzing IPO Performance on Borsa Istanbul: A Hybrid Econometric and Machine Learning Framework (2013-2025)

  Ayberkin, Doruk

  This study examines the determinants of the performance of initial public offerings (IPOs) conducted by 237 firms across 38 sectors on the Istanbul Stock Exchange between 2013 and 2025, using a hybrid analytical framework. To analyze the impact of sector characteristics, firm-level financial indicators, supply structure, and market timing on the returns of USD-denominated IPOs, this study combines heteroskedasticity-resistant ordinary least squares (OLS) regression with tree-based ensemble machine learning algorithms (random forest, XGBoost) and benchmark models (support vector regression, artificial neural network). The distributional characteristics of returns from IPOs highlight the use of nonlinear modelling techniques characterized by high positive skewness (5.12) and excess kurtosis (45.24). Our findings reveal significant sectoral heterogeneity. According to the findings, the Financial Services and Fisheries sectors showed statistically significant superior performance, while the Metal Mining, Insurance, and Construction sectors underperformed. Transportation and Storage exhibited the highest point estimate but did not reach conventional significance levels. The XGBoost machine learning model, with an R 2 of 0.869 and a mean absolute error (MAE) of 17.87, achieved superior single-split prediction accuracy compared to the OLS method, which yielded an R 2 of 0.220. However, cross-validation analyses indicated that all models exhibited limited out-of-sample generalizability (best CV R 2 = 0.04). The Diebold-Mariano test, conducted to compare prediction performance, confirmed that the artificial neural network (ANN) model provided a statistically significant improvement over the OLS method (DM = 2.121, p = 0.034). The SHAP value analysis used in the models reveals how each feature affects the final predictions, the relative importance of each feature, and the model's dependence on feature interactions. It identifies the IPO price (USD), the USD/TRY exchange rate, and the size of the supply as the most effective estimators with economically significant nonlinear interactions. The study aims to demonstrate the comparative advantages and limitations of ensemble learning under abnormal financial data conditions by presenting detailed sectoral evidence across 38 sectors. In this way, it aims to contribute to the IPO literature in emerging market economies by offering viable policy recommendations for investors, issuers, and regulators in Turkish capital markets.

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  İncele
• MakaleAçık Erişim2026Scopus SJRQ1/r/bayburt/12772
  Gastrointestinal stability and bioactivity of propolis from diverse origins

  Can, Zehra; Çelebi, Zeynep Berin; Tunca, Erol; Kolaylı, Sevgi; Sevin, Sedat; Tutun, Hidayet

  Propolis is a chemically complex bee product whose biological properties depend on its botanical and geographical origin. However, little is known about how gastrointestinal digestion affects its phenolic profile and bioactivity. In this study, twelve propolis samples from eight countries were evaluated for phenolic and flavonoid contents, antioxidant capacity (FRAP, ABTS+•), and urease inhibition before and after simulated gastric digestion. RP-HPLC–PDA identified 26 phenolic compounds showing substantial compositional diversity. Turkish Bolu propolis retained the highest post-gastric FRAP value, while several samples (BBP, AFP) maintained or enhanced urease inhibition. PCA and HCA highlighted origin-dependent differentiation, identifying digestive stability as a key variable for functional potential.

  AtıfOpenAlex2

  İncele
• MakaleAçık Erişim2026Scopus SJRQ1/r/bayburt/12712
  A Hybrid Deep Learning–Fuzzy–Genetic Framework for Climate-Resilient Agricultural Investment and Resource Allocation Under Carbon Market Uncertainty

  Erdogdu, Aylin; Dayi, Faruk; Yildiz, Ferah; Esmer, Yusuf; Ganji, Farshad

  Climate variability, environmental uncertainty, and carbon-market dynamics increasingly challenge agricultural investment and resource allocation decisions worldwide. This study proposes an integrated hybrid decision-support framework combining Long Short-Term Memory (LSTM) deep learning, Interval Type-2 Fuzzy Logic Systems, and Genetic Algorithms to support climate-resilient agricultural investment analysis under uncertainty. The framework integrates predictive modeling, uncertainty representation, and multi-objective optimization within a unified computational architecture. The empirical analysis was conducted using agricultural, climate, and carbon-market datasets covering Europe, Asia, and Africa over the 2010–2025 period. Agricultural productivity indicators, commodity price variables, climate-risk parameters, and carbon-market data were integrated into the modeling process. LSTM models were employed to analyze temporal agricultural and climate-related dynamics, while Interval Type-2 fuzzy systems were used to represent ambiguity associated with environmental and market uncertainty. Genetic Algorithms were subsequently applied to optimize investment allocation under conflicting objectives related to profitability, sustainability, and risk. The findings suggest that the proposed hybrid framework may improve adaptive investment evaluation and optimization performance under uncertain climate conditions relative to standalone computational approaches within the scope of the analyzed datasets. The results further highlight the importance of integrating predictive analytics, uncertainty modeling, and sustainability-oriented optimization within agricultural decision-support systems. However, the framework should be interpreted as a climate-resilient decision-support architecture rather than a universally deterministic forecasting mechanism. Overall, the study contributes to the emerging literature on agricultural sustainability and climate-resilient investment by presenting a transparent and uncertainty-aware computational framework under evolving environmental and carbon-market conditions.

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  AtıfScopus1·WoS1·OpenAlex2

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