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Collective Learning in Global Diffusion: Spreading Quality Standards in a Developing Country Cluster
Abstract
This research analyzes how foreign organizational practices diffuse among indigenous enterprises in a developing economy. It highlights the collective knowledge-building process as central for understanding diffusion. Based on a longitudinal case study of a cluster of dairy producers in Nicaragua, a representative low-income country, it looks at cross-border diffusion in conditions that differ significantly from advanced economies. The current literature that highlights institutional pressures driving global spread of practices has limits for capturing a significant dynamic caused by increased integration of markets and production. By focusing on production organization and practices in a late developing context, this paper explains the intertwined process of spreading new standards and changing existing local practices by elaborating the relationship among building collective capabilities, learning, and standards diffusion. This study enriches current views on institutional effects and adds to the practice-based literature, as well as to the work on developing economy firms in organizational research.
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“However, efficiently managing MNE-led GVCs is no simple task, as they are less likely to be able to guide suppliers on how to implement these capabilities within GVCs that consist of arms-length suppliers”
From Innovation in and from emerging economies: New insights and lessons for international business research (2021) · cites this paper as Perez-Aleman, 2011
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Metadata
- Authors
- Perez-Aleman, P.
- Affiliations
- McGill University (CA)
- Corresponding author
- Perez-Aleman, Paola
- ORCID
- Perez-Aleman, Paola
- Venue
- Organization Science
- Published
- 2011-02
- Volume
- 22
- Issue
- 1
- Pages
- 173-189
- ISSN
- 1047-7039 (ISSN-L)
- 1526-5455
- OpenAlex
- W2087215645
- Cited by
- 120
- References
- 133
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 8 · 2023: 6 · 2022: 8 · 2021: 8 · 2020: 20 · 2019: 8 · 2018: 7 · 2017: 7 · 2016: 10 · 2015: 8 · 2014: 10 · 2013: 6 · 2012: 2
- FWCI
- 8.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Organization Science (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Management and Organizational Studies
- Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
- Social Sciences › Business, Management and Accounting › Strategy and Management › International Business and FDI
- Keywords
- collective learning, quality standards, indigenous enterprises, developing countries, dairy farmers, production clusters, institutional pressures, collective capabilities, organizational learning, market integration, Nicaragua
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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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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