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Mapping intelligence concepts and positioning technology intelligence: a structural topic modelling approach
International Journal of Technology Intelligence and Planning. 2024. Vol. 13. No. 3. P. 213–239.
Yarga A., Ozdemir Gungor D., Burmaoglu S., Saritas O.
Accelerating societal, technological, and economic changes with emerging challenges compel strategic managers to rely on scanning and intelligence tools to stay competitive. Numerous intelligence phrases have gained popularity in the last decade. This study aims to systematize and distinguish these intelligence phrases in scholarly publications, focusing on 'technology intelligence (TI)'. TI has garnered attention due to global technological change, increased R&D activities, external technology resource usage, and the growing complexity of technology development. We applied a qualitative approach for conceptual clarification, followed by a quantitative method, structural topic modelling, to position these terms in the literature. Our study identified two perspectives on 'intelligence': 'endogenous' and 'exogenous.' Clustering intelligence phrases based on these perspectives revealed that TI is part of the exogenous intelligence cluster. The quantitative analysis demonstrated that, unlike other intelligence approaches, TI is closely associated with emergence terms and technological change.
Keywords: technological changeStructural topic modelling topic modelling conceptual analysistechnology intelligencetechnology emergence
Publication based on the results of:
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Основной целью конференции является освещение проблем, связанных с внедрением технологий искусственного интеллекта в управление городским хозяйством города Москвы. Участниками были представлены инновационные решения для оптимизации использования ресурсов и городской инфраструктуры. Особое внимание было уделено решению задач прогнозирования и аналитического моделирования для повышения эффективности работы городских систем.
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