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Mapping Intelligence Concepts & Positioning Technology Intelligence: A Structural Topic Modelling Approach

Ozcan Sarıtas et al.

International Journal of Technology Intelligence and Planning2024https://doi.org/10.1504/ijtip.2024.10065359article
AJG 1
Weight
0.30

What the paper says

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.

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Cite this paper

https://doi.org/https://doi.org/10.1504/ijtip.2024.10065359

Or copy a formatted citation

@article{ozcan2024,
  title        = {{Mapping Intelligence Concepts & Positioning Technology Intelligence: A Structural Topic Modelling Approach}},
  author       = {Ozcan Sarıtas et al.},
  journal      = {International Journal of Technology Intelligence and Planning},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.1504/ijtip.2024.10065359},
}

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Mapping Intelligence Concepts & Positioning Technology Intelligence: A Structural Topic Modelling Approach

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Evidence weight

0.30

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.