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From challenges to insights and opportunities: Exploring how Finnish entrepreneurs leverage digital information

Thao Laavunen et al.

Journal of Information Science2026https://doi.org/10.1177/01655515261421148article
AJG 2
Weight
0.50

What the paper says

Immigrant entrepreneurs are increasingly reliant on digital information sources for crucial business choices. This study investigates how digital information sources shape the information-seeking behaviour of Finnish and Vietnamese immigrants situated in Finland, and examines the influence of digital information sources on business operations and expansion. Our results indicate that digital information sources give entrepreneurs timely access to market tendencies and regulatory updates, bolstering business progress. This research presents practical approaches to surmount obstacles such as information overload and source reliability, suggesting continued investigation to explore digital information source effects across diverse cultural and industrial settings, refining digital instruments for varied entrepreneurial environments. We extend theoretical knowledge on information seeking to the domain of entrepreneurship by demonstrating how entrepreneurs choose and employ digital information sources based on informational requirements, alternating between static and interactive resources.

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https://doi.org/https://doi.org/10.1177/01655515261421148

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@article{thao2026,
  title        = {{From challenges to insights and opportunities: Exploring how Finnish entrepreneurs leverage digital information}},
  author       = {Thao Laavunen et al.},
  journal      = {Journal of Information Science},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/01655515261421148},
}

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From challenges to insights and opportunities: Exploring how Finnish entrepreneurs leverage digital information

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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.