The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Determinants of supplier‐retailer collaboration: evidence from an international study
Abstract
Purpose: This paper aims to increase the understanding of social and technical factors contributing to successful supplier‐retailer collaboration. The objective is to identify the necessary supply chain architecture for supplier‐retailer collaboration, and demonstrate how it influences supply chain performance. Design/methodology/approach: Five pairs of suppliers and retailers in Taiwan were studied with each pair serving as a unit of analysis. In each case, data pertaining to eight relationship variables critical to collaboration between supplier and retailer were collected and analyzed. A comprehensive supplier‐retailer relationship model is developed with five specific research positions: supplier‐retailer business relationship (interdependence, intensity, trust) affects long‐term orientation; supplier‐retailer business relationship affects supply chain architecture (information sharing, inventory system, information technology capabilities, coordination structure); long‐term orientation affects supply chain architecture; supply chain architecture affects the level of supplier‐retailer collaboration; and supplier‐retailer collaboration enhances supplier‐retailer performance. Findings: Overall, with the exception of duration, all variables are found to be critical to supplier‐retailer collaboration. It is the intensity, as opposed to the duration, of the relationship that influences the retailer‐supplier relationship. Originality/value: The proposed model demonstrates how eight critical social and technical variables are directly and/or indirectly related. This knowledge will enable the management of supplier‐retailer networks to produce better supply chain collaboration and performance.
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Cited by
Kembro, J., Selviaridis, K., & Näslund, D. (2014) · Supply Chain Management An International Journal · doi:10.1108/scm-12-2013-0460 · Cited by 168
Mandal, S. (2017) · International Journal of Operations & Production Management · doi:10.1108/ijopm-05-2016-0249 · Cited by 67
Papaioannou, G., Mohammed, A.-M., Despoudi, S., Saridakis, G., & Papadopoulos, T. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102077 · Cited by 38
Stoeva, S., Van Gompel, R., Van den Bossche, L., Rogge, E., Slavova, P., Grivins, M., & Mileiko, I. (2024) · Agricultural and Food Economics · doi:10.1186/s40100-024-00344-4 · Cited by 32
Cha, K.-J., & Kim, Y. S. (2018) · Enterprise Information Systems · doi:10.1080/17517575.2016.1196734 · Cited by 23
Metadata
- Authors
- Sheu, C., Rebecca Yen, H., & Chae, B.
- Venue
- International Journal of Operations & Production Management
- Publisher
- Emerald
- Published
- 2006-01-01
- Volume
- 26
- Issue
- 1
- Pages
- 24-49
- ISSN
- 0144-3577 (ISSN-L)
- OpenAlex
- W2074048791
- Cited by
- 438
- References
- 47
- FWCI
- 18.08
- Type
- journal article
- Language
- en
- Open access
- closed
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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.