Sürdürülebilir Kalkınma Amaçları

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Araştırmacılar(4)

• Boz, Fusun Celebi
• Durmaz, Atakan
• Tanrikulu, Hulusi Mehmet
• Yılmaz, Şeymanur

• MakaleYalnız künye2026Scopus SJRQ4/r/bayburt/15898
  The scientific structure of the field of rural development and social entrepreneurship: A bibliometric analysis based on web of science data

  Battal, Fetullah; Öz, Halil Hakdan; Yılmaz, Şeymanur

  Purpose: This study was conducted to reveal the scientific trends, thematic structures, and intellectual orientations in the literature on rural development and social entrepreneurship. The study aims to provide a comprehensive overview of current research trends by identifying the points of intersection between these two fields.Design/Methodology/Approach: A bibliometric analysis technique was used in the research. Data was obtained from the Web of Science (WoS) database and focused on the period between 2006 and 2025. Only research articles published in the fields of Business, Management, and Economics were included in the analysis. A total of 407 articles were examined, and the annual growth rate was calculated as 20.58%.Results: The results show that social entrepreneurship is playing an increasingly strategic role in rural development processes and that publications in the literature are concentrated around the themes of social capital, innovation, women's entrepreneurship, and sustainability. Aleksandras Stulginskis University, South China Agricultural University, and the University of Nigeria stand out among the most productive institutions. Bradford Law findings reveal that publications are concentrated around a small number of core journals. Consequently, the role of social entrepreneurship in rural development is related not only to economic growth but also to social welfare and sustainability dimensions.Originalit/Value: This study is one of the few bibliometric analyses that jointly examine social entrepreneurship and rural development. Based on Web of Science data, it reveals the research networks, thematic trends, and future research opportunities in the field, making a significant contribution to the literature.

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• MakaleAçık Erişim2026Scopus SJRQ3/r/bayburt/12746
  Are Geopolitical Risks a Permanent Driver of Global Inflation? Evidence from 1985-2024

  Yıldız, Ümit

  This study investigates the causal relationship between geopolitical risks and global inflation and examines whether this causal effect, if any, is persistent. To this end, the stationarity of the annual Geopolitical Risk Index (GPR) and global inflation series for the 1985–2024 period was first analyzed using the Lee and Strazicich (2003) two-break unit root test, which concluded that the series are stationary at levels. Subsequently, the data were analyzed using a stationary frequency domain causality approach, revealing a unidirectional causal relationship running from GPR to global inflation at both low and high frequencies. The causality identified at low frequencies indicates that this causal effect is permanent. The findings of the study suggest that mitigating geopolitical risks is of vital importance in the fight against global inflation.

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• MakaleYalnız künye2026Scopus SJRQ4/r/bayburt/12706
  Global Economic Policy Uncertainty and Bitcoin: A Transient Nexus

  Yıldız, Ümit

  Uncertainty plays a significant role in shaping investment decisions, both directly and indirectly. In an uncertain economic environment, investors’ motivations for decision-making may vary. While some investors tend to seek safe-haven assets, others may engage in speculative behavior. Therefore, uncertainty can influence financial instruments through various mechanisms. One of these instruments is Bitcoin, which is often regarded as the “gold” of cryptocurrencies. Compared to traditional financial investment instruments, Bitcoin exhibits higher volatility and is among the primary assets that may be affected by uncertainty. However, an important question is whether this effect is temporary or per-manent. By adopting a frequency-domain causality approach, this study seeks to investigate the causal linkages between Global Economic Policy Uncertainty (GEPU) and Bitcoin price movements. In this context, the causal nexus between GEPU and BTC prices is examined for the entire period and for different frequencies. Although the study's findings show no causal nexus between the variables over the entire period, the analyses for the short, medi-um, and long run indicate a causal relationship from GEPU to BTC in the medium run. Accordingly, GEPU can be considered one of the factors affecting BTC price; however, its impact does not appear to be persistent.

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• MakaleAçık Erişim2026Scopus SJRQ3/r/bayburt/12690
  Bibliometric analysis on mental health and psychological well-being

  Battal, Fetullah; Öz, Halil Hakdan; Yılmaz, Şeymanur

  Objectives: This study aimed to analyze publication and citation trends, productive journals, influential authors, university productivity, and conceptual structures in the field of mental health and psychological well-being using biblio-metric analysis methods. Methods: This bibliometric study was conducted using 522 research articles from the Web of Science database. The analysis evaluated annual publication counts, citation counts, author and institutional performance, regional distri-bution, co-citation networks, thematic mapping, and citation networks. Core journals in the field were also identified using Bradford’s Law. Results: The findings indicate that while the number of annual publications has increased over time, citation counts have fluctuated. The most productive journal was identified as Personality and Individual Differences. The most fre-quently used concepts in the field were mental health, depression, and stress. Among 1,849 authors, Creed PA stood out with 5 publications, and Crocker J. with 826 citations. In terms of institutions, publication output was concentrated at universities such as the University of Michigan, Griffith University, and Syracuse University. The United States was central in terms of regional distribution. Thematic and co-occurrence networks showed that the concept of “mental health” was central. Citation networks indicated a limited number of key studies in the field. Bradford’s Law indicated that the literature was concentrated in certain areas. Conclusion: The field of mental health and psychological well-being has developed around certain authors, journals, and institutions. The number of publications has increased, but citation visibility has remained limited. Fundamental concepts related to the field continue to shape its structure.

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• Kitap BölümüYalnız künye2026/r/bayburt/11201
  Bullying in the Digital Age: The Anatomy of Cyberbullying in Organizations

  Battal, Fetullah; Öz, Halil Hakdan

  The increase in electronic and computer-based communication and information sharing has significantly altered individuals’ social communication, learning methods, and entertainment styles. Digitalization has made individuals a part of the virtual world in almost every field, such as education, communication, and trade. With the digital age, the tools used by individuals in business and daily life are changing. Internet technologies that facilitate working life for organizations have become indispensable today. Information and communication technologies have increased communication channels, which have improved formal and informal relations between employees, thus enabling them to solve their work in a fast, easy, and accessible way without waiting. However, in addition to the mentioned contributions, it is known that digitalization has negative effects on the individual’s psychology and business life. These negative effects cause the development of cyberbullying in organizations. Cyberbullying refers to intentional and hostile behavior that aims to harm the individual using digital and technological tools. Cyberbullying cases are also observed in organizations where digitalization is intense and strong. It is possible to see the presence of cyber bullies who do not feel effective and adequate when they interact directly in organizations, and therefore tend to create a negative and harmful effect by hiding themselves online, with the disturbing messages they send, humiliating comments on social networks, and threatening and intimidating posts they publish. For example, a manager criticizing an employee in a humiliating language in a public email or an employee spreading unfounded information about another employee on social media is considered in this context. Exposure to humiliating, threatening, and intimidating behaviors in digital environments negatively affects employees. Employees exposed to cyberbullying may have psychological symptoms such as work-related stress, anxiety, irritability, fear, and depression. Physically, insomnia, headache, and general health problems can be observed. This situation leads to behaviors that will negatively affect organizational activities, such as low job satisfaction, distrust towards the organization, decreased organizational commitment, and disengagement from work. Organizations need to develop effective policies to prevent cyberbullying. In order to increase the effectiveness of the policies to be developed, it is important to anatomically examine how cyberbullying behavior is shaped, with which tools it is done, and its effects. In this respect, this study aims to examine the antecedents, tools, and consequences of cyberbullying in detail and thus to develop recommendations to prevent cyberbullying.

  İncele
• MakaleAçık Erişim2026Scopus SJRQ2/r/bayburt/11148
  The Effect of Data Types’ on the Performance of Machine Learning Algorithms for Cryptocurrency Prediction

  Tanrikulu, Hulusi Mehmet; Pabuccu, Hakan

  Forecasting cryptocurrencies as a financial issue is crucial as it provides investors with possible financial benefits. A slight improvement in forecasting performance can lead to increased profitability; Therefore, obtaining a realistic forecast is very important for investors. Bitcoin, frequently mentioned in recent due to its volatility and chaotic behavior, has become an investment tool, especially during and after the COVID-19 pandemic. In this study, selected ML techniques were investigated for predicting cryptocurrency movements by using technical indicator-based data sets and measuring the applicability of the techniques to cryptocurrencies that do not have sufficient historical data. In order to measure the effect of data size, Bitcoin’s last 1 year and 7 years of data were used. Following the related literature, Google trends and the number of tweets were used as input features, in addition to the most commonly used twelve technical indicators. Random Forest, K-Nearest Neighbors, Extreme Gradient Boosting (XGBoost-XGB), Support Vector Machine (SVM), Naive Bayes (NB), Artificial Neural Networks (ANN), and Long-Short-Term Memory (LSTM) network were optimized for best results. Accuracy, F1, and area under the ROC curve values were used to compare the model performance. For continuous data, ANN and SVM performed the best with the highest accuracy and outperformed the other ML models for complete and reduced sets. LSTM reached the best accuracy for trend data, but SVM, NB, and XGB models showed similar performance. The research shows that some indicators significantly affect prediction performance, and the data discretization process also improved the model’s accuracy. While the number of samples affects the results of many ML models, correctly optimized and fine-tuned models may also give excellent results even with less data.

  AtıfScopus1·OpenAlex2

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• MakaleYalnız künye2026Scopus SJRQ2/r/bayburt/11137
  Attracting Volunteers Through Social Media Marketing in Environmental Organizations

  Çetinkaya, Ali; Bilgin, Yusuf; Elmalı, Kübra

  Nowadays, environmental organizations have strategically leveraged social media platforms to raise environmental awareness, promote pro-environmental behavior, manage environmental campaigns, and encourage environmental volunteerism. This study aims to investigate the impact of social media marketing activities conducted by environmental organizations on followers’ pro-environmental behaviors and their intentions to engage in environmental volunteering. The research sample consists of social media users who follow the ten most prominent environmental organizations in Turkey–organizations known for their commitment to protecting nature and the environment–on platforms such as Facebook, Instagram, Twitter, and LinkedIn. A quantitative research method was employed, and data were collected from 512 respondents through an online survey. The data were analyzed using Structural Equation Modeling (SEM). The findings reveal that social media marketing activities, taken as a whole, have a significant and positive effect on both followers’ pro-environmental behaviors and their environmental volunteering intentions. Among the five components, timeliness, awareness, and customization were found to have the strongest influence on volunteering intentions, while timeliness and interaction significantly affected pro-environmental behavior. Additionally, the analysis confirmed that pro-environmental behavior mediates the relationship between social media marketing activities and environmental volunteering intentions. This study contributes to the growing body of literature on environmental communication by demonstrating how specific social media marketing strategies can enhance both environmental engagement and behavioral outcomes among followers. The findings offer practical insights for environmental organizations aiming to strengthen their impact through targeted and effective social media practices.

  AtıfScopus1·WoS1·OpenAlex1

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• MakaleAçık Erişim2025/r/bayburt/16214
  Sürdürülebilir liderlik ve yeşil yönetim üzerine yapılmış lisansüstü tezlere yönelik nitel bir araştırma

  Battal, Fetullah; Yılmaz, Şeymanur

  Bu araştırma, 2003-2024 yılları arasında Türkiye’de gerçekleştirilen sürdürülebilir liderlik ve yeşil yönetim konulu lisansüstü tezlerin içeriklerini ortaya koymayı amaçlamaktadır. Çalışmada Türkiye Yüksek Öğretim Kurumu Ulusal Tez Merkezi'nde (YÖK-TEZ) yer alan ve belirtilen yıllar arasında yapılan çalışmalar incelenmiştir. Araştırma kapsamında, yeşil yönetim ile ilgili 16 lisansüstü tez çalışmasına, sürdürülebilir liderlik ile ilgili ise 9 lisansüstü tez çalışması olmak üzere toplam 25 lisansüstü teze ulaşılmıştır. Bu tezlerin 18'i yüksek lisans tezi iken, 7'si doktora tezidir. Araştırma çalışmasının evreni ve örneklemi, tezlerin tür ve sayıları, yayınlandığı yıllar, hangi alanlarda yürütüldüğü, danışman unvanları, hedef, boyut ve yöntemleri açısından ele alınarak sistematik derleme yöntemiyle analiz edilmiştir. Çalışma bulgularında, tezlerin çoğunluğunun 2022-2024 yıllarına ait olduğunu ve en fazla Prof. Dr. unvanlı akademisyenlerin danışmanlık yaptığını göstermektedir. Tezlerden 24 tanesi Türkçe’dir ve eğitim, işletme alanlarında yoğunlaşmaktadır.

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• MakaleAçık Erişim2025/r/bayburt/16181
  Duygusal zekâ ve liderlik arasındaki ilişki (türkiye örneği) meta analiz çalışması

  Battal, Fetullah; Yılmaz, Şeymanur

  Bu meta-analiz çalışması, duygusal zekâ ve liderlik arasındaki ilişkiyi incelemek amacıyla Türkiye örneği üzerinden yapılan 25 ampirik çalışmanın verilerini değerlendirmiştir. Çalışmalar, 2005-2024 yılları arasında yayımlanan makaleler ve tezlerden oluşmuştur. Elde edilen sonuçlar, duygusal zekâ ile liderlik arasında pozitif yönde orta düzeyde (EB = 0,417) anlamlı bir ilişki olduğunu göstermektedir. Çalışmalar arasında önemli bir varyasyon olduğu tespit edilmiş ve bu nedenle rastgele etkiler modeli tercih edilmiştir. Meta-analiz sonucunda kümülatif korelasyonun %42 seviyesinde olduğu belirlenmiştir. Ayrıca, yayın yanlılığına dair yapılan analizler, etkilerin güvenilir olduğunu ve yayın yanlılığının olmadığını ortaya koymuştur. Bu bulgular, duygusal zekânın liderlik becerileriyle önemli bir ilişkiye sahip olduğunu, ancak bu ilişkinin orta düzeyde olduğunu göstermektedir. Çalışmanın Türkiye örneğine odaklanması, bölgesel bir bakış açısı sunmuş ve bulguların güvenilirliğini artırmıştır.

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• MakaleAçık Erişim2025/r/bayburt/16159
  AB Ülkelerinde Ekonomik Büyüme Üzerinde Enerji İthalatı Etkisinin Mekânsal Analizi

  Elmalı, Kübra; Yılmaz, Şeymanur

  Günümüzde enerji, yalnızca üretim ve kalkınmanın temel girdisi olmakla kalmayıp, aynı zamanda ülkelerin ekonomik ve politik bağımsızlıklarını etkileyen önemli bir faktördür. Ticari ve stratejik açıdan büyük öneme sahip kaynaklar arasında yer alan enerji, taleplerini karşılayamayan ülkeler için ithalat artışına sebep olurken aynı zamanda ülkeler arası enerji bağımlılığının artmasına yol açmaktadır. Küresel ölçekte yükselen enerji talebi, ulusal ekonomiler açısından giderek daha kritik bir mesele haline gelirken bu durum, çalışmanın temel hareket noktasını oluşturmaktadır. Bu doğrultuda; 2000-2022 dönemi esas alınarak 15 Avrupa Birliği (AB) ülkesi için enerji ithalatı alt birimleri ve döviz kurunun ekonomik büyüme üzerindeki etkisinin mekânsal ekonometri yöntemi kullanılarak tespit edilmesi amaçlanmıştır. Mekânsal panel veri ekonometri yöntemi tercih edilerek bölge komşuluğu modele dahil edilmiş ve çalışmanın özgün yanını oluşturmuştur. Elde edilen bulgulara göre; elektrik ithalatının kişi başına gelir üzerinde pozitif ve anlamlı bir etkisi olduğu tespit edilmiştir. Öte yandan, döviz kuru, petrol ve doğalgaz değişkenlerinin gelir ile negatif yönde ilişkili olduğu saptanmış; ancak bu değişkenler arasında yalnızca döviz kurunun ekonomik büyüme üzerinde istatistiksel olarak anlamlı ve olumsuz bir etkisi olduğu belirlenmiştir. Sonuç olarak, elektrik enerjisinin yerli üretiminin artırılması gerektiği ve diğer enerji kaynaklarında da dışa bağımlılığı azaltacak stratejilerin geliştirilmesi gerektiği tespit edilmiştir.

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