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Virtuous and vicious cycles on the road towards international supply chain management

Akkermans, Henk, Bogerd, Paul, Vos, Bart·1999·International Journal of Operations & Production Management

Abstract

An increasing number of companies claim to pursue international supply chain management (ISCM), but the empirical evidence of successful implementation programs is still scarce. This paper aims to contribute to theory‐building in this area by presenting an exploratory causal model of goals, barriers, and enablers on the road towards effective ISCM. The model was established in a workshop with a panel of content matter experts. The results point at a disturbingly gloomy picture of vicious cycles frustrating the implementation of effective ISCM strategies. Fortunately, it appears that it is possible to apply the same generic mechanisms to create a virtuous cycle, for instance by promoting cross‐functional careers and by actively responding to demanding customer needs. The challenge ahead is to test the model’s content and validity.

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Metadata

Authors
Akkermans, H., Bogerd, P., & Vos, B.
Venue
International Journal of Operations & Production Management
Publisher
Emerald
Published
1999-05-01
Volume
19
Issue
5/6
Pages
565-582
ISSN
0144-3577 (ISSN-L)
OpenAlex
W2098724465
Cited by
276
References
0
FWCI
5.56
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Virtuous and vicious cycles on the road towards international supply chain management. https://app.cochat.ai/papers/10.1108/01443579910260883
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Akkermans, H., Bogerd, P., & Vos, B. (1999). Virtuous and vicious cycles on the road towards international supply chain management. International Journal of Operations & Production Management. https://doi.org/10.1108/01443579910260883

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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.