arbiter
JournalsPricingAccount

Digital Innovation through LGPD Compliance: Transforming Business Models and Infrastructure in Brazilian Companies

Marcelo Tsuguio Okano et al.

AIMS International Journal of Management2025https://doi.org/10.26573/2025.19.2.2article
ABDC C
Weight
0.50

What the paper says

This study explores how compliance with Brazil's General Data Protection Law (LGPD) acts as a catalyst for digital innovation in two major companies.Using Dynamic Capabilities and Business Model frameworks, the research examines how the companies transformed their digital infrastructures to manage personal data effectively.The findings reveal that legal compliance drove technological upgrades, including new systems for data pre-processing and governance, fostering operational efficiency.This study highlights how regulatory requirements can trigger innovation, aligning infrastructure with business needs.The results suggest that compliance can enhance competitive advantage, encouraging future exploration of similar impacts across other industries and smaller companies.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.26573/2025.19.2.2

Or copy a formatted citation

@article{marcelo2025,
  title        = {{Digital Innovation through LGPD Compliance: Transforming Business Models and Infrastructure in Brazilian Companies}},
  author       = {Marcelo Tsuguio Okano et al.},
  journal      = {AIMS International Journal of Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.26573/2025.19.2.2},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Digital Innovation through LGPD Compliance: Transforming Business Models and Infrastructure in Brazilian Companies

Flags are reviewed by the Arbiter methodology team within 5 business days.

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.