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• 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/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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• 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

  İncele
• MakaleAçık Erişim2026Scopus SJRQ1/r/bayburt/11561
  Optimizing Budget Allocation for Digital Health Investments Using Metaheuristic Algorithms: A Cost–Impact Analysis for Public Health Systems

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

  Background: In the era of digital transformation, public health systems increasingly rely on digital technologies to improve accessibility, efficiency, and patient outcomes. However, policymakers face significant challenges in allocating limited resources across competing digital health investments characterized by uncertainty and dynamic impacts. Methods: This study introduces the Adaptive Impact–Cost Optimization Theory (AICOT), a hybrid framework integrating fuzzy logic and genetic algorithms to optimize digital health investment portfolios. The model defines the Investment Priority Score (IPS) as a function of cost, expected impact, and implementation feasibility, enabling structured evaluation under uncertainty. A fuzzy inference system with centroid-based defuzzification is used to convert qualitative assessments into quantitative scores, while optimization techniques identify optimal portfolios across different fiscal scenarios. The empirical analysis covers 15 OECD countries (2018–2024) using publicly available datasets. Sensitivity analyses assess robustness under inflation, cost shocks, and changing system priorities. Results: The findings show that blended investment strategies combining routine digital health tools with pandemic-oriented infrastructures yield the highest resilience-adjusted efficiency. Results remain stable across sensitivity scenarios, with pandemic surveillance consistently ranking as a top priority even under increased cost conditions. The model effectively captures cross-country heterogeneity, demonstrating adaptability to different levels of digital maturity. Conclusions: AICOT provides a transparent and policy-relevant decision-support framework that improves resource allocation efficiency and reduces unnecessary expenditures. These contributions support long-term financial sustainability and align with global health objectives, including Universal Health Coverage and Sustainable Development Goal 3 (Good Health and Well-being).

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  AtıfScopus1·WoS1·OpenAlex1

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• MakaleAçık Erişim2025/r/bayburt/16189
  Artificial Intelligence and the Metaverse in Sport: Emerging Trends and Future Directions from a Bibliometric Analysis

  Esmer, Yusuf

  In recent years, artificial intelligence (AI) and metaverse technologies have found applications in areas such as athlete performance analysis, fan engagement and virtual event management, leading to a growing volume of research in these areas. The aim of this study is to reveal the bibliometric profile of scientific research on AI and metaverse in sports and to increase the knowledge at the intersection of these disciplines by analyzing scientific production and trends in this field. For this purpose, 255 publications on AI and metaverse in sports between 1992-2025 in the Web of Science (WoS) core collection in the period of October 2024 were examined by bibliometric analysis technique. As a result of the analysis, it was concluded that scientific studies on AI and metaverse in sports have increased over the years and attracted more and more attention. Especially the high scientific production in 2022 and the high citation rate in 2013 revealed the potential and importance of these fields. It is possible to say that this study is important in terms of identifying new research/application areas, emphasizing international collaborations, providing important information/data for academia/the sports industry, encouraging interdisciplinary approaches, guiding future studies and contributing to the relevant literature. In future studies, it is considered necessary to conduct more research on AI and metaverse in sports and to develop practical projects. In this context, it is recommended to conduct research to explain the effects of AI and metaverse technologies on sports and how these technologies can be used in sports organizations.

  AtıfOpenAlex2·TR Dizin1

  İncele
• MakaleAçık Erişim2025/r/bayburt/15783
  Bibliometric Analysis of Islamic Entrepreneurship

  Esmer, Yusuf

  Islamic entrepreneurship is a type of entrepreneurship that is realized within the framework of Islamic principles and values, and it is seen that research on the subject has been increasing in recent years. This study was conducted in order to review the literature on Islamic entrepreneurship and to reveal the current trends and developments in this field. For this purpose, bibliometric analysis technique was used within the scope of quantitative research method. In this context, 263 scientific publications published in the Web of Science (WoS) database on October 5, 2024 between 2004-2024 and addressing Islamic entrepreneurship were analyzed. The study concluded that Islamic entrepreneurship is a global issue and has been addressed in various contexts in different geographies such as Türkiye, Malaysia and Iran. At the same time, Islamic entrepreneurship literature focuses on various fields such as business, economics, education, religion and social sciences. This diversity provides a more comprehensive and richer body of knowledge and has the potential to offer new perspectives for future studies that bring together different disciplines. In this context, it can be said that joint scientific projects should be developed with researchers from different countries to help understand the universal dynamics of Islamic entrepreneurship.

  AtıfOpenAlex1

  İncele
• MakaleAçık Erişim2025/r/bayburt/14261
  Women Entrepreneurship in Organic Agriculture: The Case of Türkiye

  Dursunoglu, Seyma Betul; Esmer, Yusuf

  Organic agriculture, whose importance is increasing day by day, form of production that prohibits the use of harmful substances agricultural production and prioritizes soil health in order to protect human health and the ecological system. As in every subject, entrepreneurs are needed for the development of the sector in organic agriculture. In this context, while women entrepreneurs contribute the production process on the one hand, on the other hand, they social and economic self-sufficiency. The aim of this research is determine the entrepreneurial levels of women engaged entrepreneurial activities in organic agriculture. In the research, survey technique was used within the scope of the quantitative research method. The population of the research consists of women entrepreneurs engaged in organic agriculture activities in different regions and provinces of T & uuml;rkiye. 532 women entrepreneurs selected judgmental sampling method were determined as the sample of research. According to the results of the research, it was determined that there was a significant difference in general agricultural entrepreneurship levels in terms of education level and marital status, but not in terms of age, geographical region, and industry experience, while there was a significant difference in organic agriculture entrepreneurship levels s in terms of age and education level, but not terms of marital status, geographical region, and industry experience. In conclusion, this research is valuable in terms of revealing the current situation of women entrepreneurship in organic agriculture, which is extremely important sector.

  İncele
• EditoryalYalnız künye2025/r/bayburt/12630
  Preface

  Esmer, Yusuf; Aytar, Oğuzhan

  İncele
• KitapYalnız künye2025/r/bayburt/11503
  Entrepreneurship and Innovation Management in the Context of the Knowledge Economy and Digitalization

  Esmer, Yusuf; Aytar, Oğuzhan

  Today, with globalization, innovation, competition, and the deepening of the knowledge economy, the demand for advanced systems such as digital transformation that enhance and support business and management functions is increasing. In addition to improving management-human collaboration, this process is expected to shed light on smart jobs, redesign division of labor programs, reassess managers' responsibilities, and redesign basic working principles. Therefore, this book, which brings together the themes of entrepreneurship and innovation management in the context of the knowledge economy and digitalization in parallel with the new possibilities and opportunities created by these systems emerging due to technological developments, is thought to guide researchers. This book consists of 26 chapters covering a wide range of topics by various authors and researchers. In these chapters, topics such as digitalization, digital transformation, digital innovation, digital entrepreneurship, innovation strategies, green entrepreneurship, strategic innovation, big data, artificial intelligence, knowledge management, digital organizations, and digital economy are discussed with their various aspects and applications.

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