How entrepreneurial ventures use bricolage theory to improve competitiveness

Hangyao Wu et al.

Journal of Competitiveness2025https://doi.org/10.7441/joc.2025.01.14article
AJG 2
Weight
0.41

What the paper says

The rapid evolution of the social economy has generated novel opportunities for entrepreneurial ventures.However, these new ventures are increasingly challenged by issues arising from resource constraints-a common feature of most emerging economies.Consequently, the ability to acquire, utilize, and integrate resources becomes necessary for the competitiveness of new ventures.In recent years, bricolage theory has received extensive research attention worldwide.Much research has demonstrated the ability of bricolage theory to deal with entrepreneurial resource constraints.This paper provides a coherent picture of published papers in this field.To accomplish this, we perform a bibliometric analysis aided by visualization tools and collect pertinent scholarly works utilizing retrieval algorithms from the Web of Science Core Collection.Then, the leading intellectual landscape of publications in the entrepreneurial bricolage behavior field (e.g., influential authors, sources and countries/regions, direct historical citations, and thematic evolution) is presented.Lastly, we discuss the evolution of bricolage theory in entrepreneurship research.This paper accentuates the advantageous attributes of bricolage theory that create a significant competitive advantage for new ventures.

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https://doi.org/https://doi.org/10.7441/joc.2025.01.14

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@article{hangyao2025,
  title        = {{How entrepreneurial ventures use bricolage theory to improve competitiveness}},
  author       = {Hangyao Wu et al.},
  journal      = {Journal of Competitiveness},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.7441/joc.2025.01.14},
}

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Evidence weight

0.41

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

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
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.