Cited by 357Social Capital and NetworksInnovation and Knowledge ManagementKnowledge Management and Sharing

The Dark Side of Social Capital

Gargiulo, Martin, Benassi, Mario·1999·Corporate Social Capital and Liability

Integrity signals

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Crossref · 10.1007/978-1-4615-5027-3_17

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  • Prior research has documented that over-embeddedness reduces the flow of new ideas into the group, resulting in parochialism and inertia.

    “It has been found that over-embeddedness reduces the flow of new ideas into the group, resulting in parochialism and inertia (Gargiulo and Benassi 1999).”

    From The Negative Effects of Social Capital in Organizations: A Review and Extension (2017) · cites this paper as Gargiulo and Benassi 1999

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Authors
Gargiulo, M., & Benassi, M.
Venue
Corporate Social Capital and Liability
Publisher
Springer US
Published
1999
Pages
298-322
OpenAlex
W191537309
Cited by
357
References
0
Citations by year
2026: 7 · 2025: 10 · 2024: 12 · 2023: 15 · 2022: 10 · 2021: 14 · 2020: 21 · 2019: 14 · 2018: 17 · 2017: 17 · 2016: 7 · 2015: 18 · 2014: 17 · 2013: 24 · 2012: 16
FWCI
30.37
Type
book chapter
Language
en
Open access
closed
Locations
Springer eBooks (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Social Capital and Networks
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
  • Social Sciences › Communication › Knowledge Management and Sharing
Keywords
social capital, social networks, social liability, strong ties, network composition, organizational adaptability, task environment, managerial networks, corporate social capital, high-tech enterprises

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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