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Technology Entrepreneurship, the Poor, and Socialism

Garry D. Bruton et al.

Management and Organization Review2026https://doi.org/10.1017/mor.2025.10122article
AJG 3ABDC A
Weight
0.50

Abstract

Prior research on technology entrepreneurship has been grounded almost exclusively in capitalist frameworks developed in the Global North. We argue that context matters, and that scholars should examine technology entrepreneurship in the roughly half of the world where socialism provides the economic foundation. As a step in this direction, we investigate how the principle of common prosperity shapes technology entrepreneurship in socialist contexts. Focusing first on China – a global technological leader and one of the world’s largest generators of patents – we show through two cases that concern for the poor is not incidental but integral to technology entrepreneurship under socialism. We then extend the analysis to a second socialist context outside China, demonstrating the broader relevance of common prosperity for understanding the relationship between technology entrepreneurship and poverty alleviation. Taken together, these cases suggest that research on technology entrepreneurship should move beyond Global North capitalist assumptions and instead account for societal context, particularly the socialist emphasis on common prosperity. Incorporating such perspectives invites scholars to reconsider the role of technology and entrepreneurship in advancing the common good and reducing poverty.

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https://doi.org/https://doi.org/10.1017/mor.2025.10122

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@article{garry2026,
  title        = {{Technology Entrepreneurship, the Poor, and Socialism}},
  author       = {Garry D. Bruton et al.},
  journal      = {Management and Organization Review},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1017/mor.2025.10122},
}

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Technology Entrepreneurship, the Poor, and Socialism

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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.