Эволюция подходов к измерению организационных и стратегических конструктов на основе автоматизированного анализа текста

Вестник Московского университета. Серия 6: Экономика. 2025. Т. 60. № 6. С. 277–306.

Kabanov D., Komarov M. M.

With the increased availability of textual documents published by organizations, computational text analysis (CTA) opens new avenues for management and strategy research. However, while existing text processing techniques are well documented, approaches to measuring organizational and strategic constructs based on these techniques — that represent only a portion of measurement methodologies within CTA-based research — remain considerably less developed. Although the use of CTA-based methodologies offers new opportunities for researchers, the literature employing them remains scattered, with the limitations of such methodologies being infrequently discussed. In this regard, the authors aim to examine the evolution of this line of research, focusing explicitly on measure development practices within CTA-based methodologies. This study offers an overview of methodological progress and challenges in this area based on a critical review of over 20 specialized empirical research articles, and presents the typology of measure development approaches in CTAbased assessments of organizational and strategic constructs. The authors illustrate the use of the proposed typology by examining the literature that employs CTA to assess dynamic capabilities. The present work seeks to provide a useful methodological foundation for further study and enhancement of CTA-based measurement of organizational and strategic constructs, offering an accessible introduction to this interdisciplinary area for both management and strategy scholars as well as practitioners in the field.

Keywords: стратегическое управление, Автоматизированный анализ текста, strategic management, computational text analysis, organizational research methods, construct measurement, методы организационных исследований, измерение конструктов