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September 30, 2025Applied SciencesOpen Access

TFHA: A Time–Frequency Harmonic Attention Framework for Analyzing Digital Management Strategy Impact Mechanisms

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Framework demonstrates improved forecasting of organizational performance in digital contexts, highlighting mechanistic insights.

TFHA achieves a reduction in mean absolute error of 18.5% compared to traditional models.
The framework employs a Fourier Frequency Attention module to capture periodic strategic patterns.
A temporal feature embedding component enhances both static and dynamic context understanding.
Experiments validate TFHA's robustness across four datasets in digital tourism management.

Cao et al. (2025) studied this question.

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