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    The multidimensional nature of organizational myopia: co-word analysis and topic modeling of managerial and strategic short-termism
    (Springer, 2025) Tunca, Sezai; Balcioglu, Yavuz Selim
    This study explores organizational myopia by employing a multi-method quantitative approach, including co-word analysis and topic modeling, to map the intellectual landscape and thematic evolution in the field. A dataset of 158 peer-reviewed articles from the Web of Science and Scopus databases was analyzed using co-word analysis to identify key subjects, patterns, and relationships, along with topic modeling via Latent Dirichlet Allocation (LDA) to uncover latent topics and their correlations. Key themes such as organizational performance, myopia, digital transformation with managerial foresight, knowledge/learning practices, environmental variables, resilience, and innovation were identified. The study emphasizes the importance of aligning short-term goals with long-term strategic objectives and highlights the challenges of managerial myopia and the role of innovative solutions in fostering organizational flexibility. This research provides a comprehensive framework for understanding and addressing organizational myopia, offering valuable insights for future research and practical applications to navigate its complexities effectively.