Turkish Management Review

CHARACTER ANALYSIS BASED ON HANDWRITING USING MACHINE LEARNING: CLASSIFICATION OF MANAGERIAL TRAITS OF TOP EXECUTIVES

2025-07-16T13:32:00+03:00

This study aims to classify the managerial characteristics of top executives through character traits inferred from handwriting samples using a machine learning approach. A dataset of handwriting samples was analyzed using decision tree algorithms to identify patterns linked to leadership competencies. The methodology includes preprocessing of handwriting features, selection of relevant attributes, and application of supervised learning techniques. The results revealed a classification accuracy of 57%, suggesting that while the model can detect some managerial patterns, further improvement is needed. Limitations such as small sample size, limited feature diversity, and data quality may have influenced the results. Future studies are encouraged to use larger datasets and integrate advanced models such as deep learning techniques and multidimensional handwriting features. This study contributes to the growing literature on biometric indicators in organizational research by demonstrating a novel intersection between graphology and machine learning.

THE STRUCTURAL MAPPING OF ORGANIZATIONAL AGILITY AND DIGITAL TRANSFORMATION LITERATURE: A BIBLIOMETRIC APPROACH

2025-07-21T00:23:17+03:00

This study adopts a bibliometric approach to analyze the academic development of the concepts of organizational agility and digital transformation. A total of 99 articles obtained from the Web of Science database, published between 2011 and 2025, were examined based on publication year, citation count, keyword networks, authorship, institutions, and countries. The findings reveal a significant increase in academic interest in these two concepts, particularly after 2020. The frequent use of key terms such as “dynamic capabilities,” “information technology,” “organizational agility,” and “innovation” indicates that digital transformation is not only a technological shift but also a managerial one. The publications are concentrated primarily in journals such as Technological Forecasting and Social Change and IEEE Transactions on Engineering Management. China, Italy, Indonesia, and the United States stand out as the countries contributing most to the literature, while Arias-Perez, Malik, and Raziq are among the most productive authors. The results demonstrate that organizational agility emerges as a critical competence within digital transformation processes and that these topics are studied through interdisciplinary perspectives. This study aims to provide a comprehensive mapping of current trends and to offer a foundational basis for future research.

THE DEVELOPMENT OF THE CONCEPT OF REMOTE WORKING: A BIBLIOMETRIC ANALYSIS BASED ON WEB OF SCIENCE DATA

2025-07-13T19:47:17+03:00

In recent years, with digitalization, technological advancements, and especially the COVID-19 pandemic, ways of doing business have undergone radical changes, and the concept of remote work has become central to global workforce policies. The aim of this study is to reveal the structure, trends, and development directions of academic literature in the field of remote work. To this end, over 4,000 bibliographic records published between 1980 and 2025 from the Web of Science (WoS) database were analyzed. The study employed bibliometric analysis, revealing indicators such as the number of publications, the most influential authors, institutions, countries, keyword clusters, and collaboration networks. The United Nations Sustainable Development Goals were also included in the analysis. The analysis revealed a significant increase in publications related to remote work since 2020, with the largest number of publications produced by institutions based in the US, UK, and Italy. Keyword analysis reveals that remote work is being studied in relation to themes such as "work-life balance," "productivity," "pandemic," and "psychological well-being." Network analysis also reveals that the research is interdisciplinary, focusing on social sciences, management, engineering, information systems, and healthcare. This study highlights the academic implications of remote work and helps researchers identify gaps in this area and guide future research.