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The impact of generative artificial intelligence on software development performance: a study based on the theory of technology dominance

Tsung-Sheng Chang & Lan-Kuei Huang

Information & Management2026https://doi.org/10.1016/j.im.2026.104306article
AJG 3ABDC A*
Weight
0.50

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https://doi.org/https://doi.org/10.1016/j.im.2026.104306

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@article{tsung-sheng2026,
  title        = {{The impact of generative artificial intelligence on software development performance: a study based on the theory of technology dominance}},
  author       = {Tsung-Sheng Chang & Lan-Kuei Huang},
  journal      = {Information & Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.im.2026.104306},
}

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The impact of generative artificial intelligence on software development performance: a study based on the theory of technology dominance

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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.