Logistics service providers (LSPs) can have a profound impact on other companies operating in supply chains. To investigate the role of LSP, we propose and develop the concept of brokered LSP learning (i.e., supply chain learning run by the LSP) as exploitation and exploration practices imposed by the single actor to run organizational learning among supply chain actors. The research examines how supply chain learning run by the LSP affects self-organization of the buyer-supplier dyad and triadic relational performance. Our results provide insight into whether LSP-brokered learning alone is sufficient to improve triadic relational performance. The study shows that LSP-brokered learning, supported by decentralized technologies, has a positive effect on buyer-supplier self-organization. As a resulting effect, the study also operationalizes triadic relational performance composed of the joint impact of relational performances produced by three dyads in the logistics service triads, which can be improved by buyer-supplier self-organization.
Swierczek, Artur
(2023).
The Effects of Industry 4.0 Technologies on Relational Performance: the Mediating Role of Supply Chain Emergence in the Transitive Logistics Service Triads.
Supply chain management.
ISSN 1359-8546.
doi: 10.1108/SCM-07-2021-0347.
Swierczek, Artur
(2023).
Decentralization of information and supply chain self-organization: the resulting effect on network performance in the transitive service triads.
Supply chain management.
ISSN 1359-8546.
doi: 10.1108/SCM-05-2021-0266.
Swierczek, Artur & Szozda, Natalia
(2022).
Upstream and downstream dyad governance within the network structures: Creating supply chain governance for the customized products.
Electronic Markets.
ISSN 1019-6781.
doi: 10.1007/s12525-022-00533-3.
Swierczek, Artur
(2020).
Relational Orientation of Triadic Supply Chains with Structural Holes: An Empirical Com-parison of Rents derived from Bridging the Structural Holes.
Supply chain management.
ISSN 1359-8546.
doi: 10.1108/SCM-10-2019-0382.
Swierczek, Artur
(2019).
Manufacturer Structural Embeddedness and the Network Rent: the Intervening Role of Rela-tional Embeddedness in the Triadic Supply Chains.
Supply chain management.
ISSN 1359-8546.
doi: 10.1108/SCM-06-2018-0232.
Swierczek, Artur
(2019).
The Role of Manufacturer in Supply Chain Transformation from Intransitive into Transitive Triads: Implications for the Network Rent.
Supply chain management.
ISSN 1359-8546.
doi: 10.1108/SCM-10-2018-0341.
Swierczek, Artur
(2019).
The Effects of Brokered Network Governance on Relational Embeddedness in the Triadic Supply Chains: Is There a Room for the ‘Coleman Rent’.
Supply chain management.
ISSN 1359-8546.
doi: 10.1108/SCM-04-2019-0170.
Swierczek, Artur & Szozda, Natalia
(2019).
Demand planning as a tamer and trigger of operational risk disruptions: evidence from the European supply chains.
Supply chain management.
ISSN 1359-8546.
doi: 10.1108/SCM-03-2019-0095.