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AI-Augmented Theory Building: From Theoretical Foundations to Practical Application

Daniel Finkenstadt

Customer Needs and Solutions2025https://doi.org/10.1007/s40547-025-00155-8article
ABDC B
Weight
0.50

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https://doi.org/https://doi.org/10.1007/s40547-025-00155-8

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@article{daniel2025,
  title        = {{AI-Augmented Theory Building: From Theoretical Foundations to Practical Application}},
  author       = {Daniel Finkenstadt},
  journal      = {Customer Needs and Solutions},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1007/s40547-025-00155-8},
}

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AI-Augmented Theory Building: From Theoretical Foundations to Practical Application

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Evidence weight

0.50

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

F · citation impact0.50 × 0.4 = 0.20
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.