The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Using networks to solve export‐marketing problems of small‐ and medium‐sized firms from developing countries
Abstract
The objective of this paper is to review the literature on how networks can be used in developing countries to encounter export‐marketing problems. Several case studies of export‐grouping and subcontracting networks, involving small‐ and medium‐sized enterprises in developed and underdeveloped countries, are reviewed. The paper presents a qualitative model that identifies the determining factors for successful export network organisations: a clearly defined market problem or market opportunity; a willingness to respond together; development of solidarity, coherence and commitment; initiating foreign market activities. This model is useful to study similar initiatives in developing countries.
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Citations
Cites
Competitive Strategy: Techniques for Analyzing Industries and Competitors
(1980) · Journal of Sustainable Competitive Intelligence · doi:10.24883/iberoamericanic.v2i2.38 · Cited by 16,592
Cited by
Reducing poverty in the least developed countries: The role of small and medium enterprises
Maksimov, V., Wang, S. L., & Luo, Y. (2017) · Journal of World Business · doi:10.1016/j.jwb.2016.12.007 · Cited by 172
Metadata
- Authors
- Ghauri, P., Lutz, C., & Tesfom, G.
- Venue
- European Journal of Marketing
- Publisher
- Emerald
- Published
- 2003-06-01
- Volume
- 37
- Issue
- 5/6
- Pages
- 728-752
- ISSN
- 0309-0566 (ISSN-L)
- OpenAlex
- W2036895553
- Cited by
- 189
- References
- 1
- FWCI
- 16.69
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ghauri, P., Lutz, C., & Tesfom, G. (2003). Using networks to solve export‐marketing problems of small‐ and medium‐sized firms from developing countries. European Journal of Marketing. https://doi.org/10.1108/03090560310465125
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
