Business Ecosystem Embeddedness to Enhance Supply Chain Competence : The Key Role of External Knowledge Capacities

Riquelme-Medina, Marta and Stevenson, Mark and Barrales-Molina, Vanesa and Llorens-Montes, Javier (2023) Business Ecosystem Embeddedness to Enhance Supply Chain Competence : The Key Role of External Knowledge Capacities. Production Planning and Control, 34 (7). pp. 658-675. ISSN 0953-7287

[thumbnail of PURE_Version]
Text (PURE_Version)
PURE_Version.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial-NoDerivs.

Download (1MB)

Abstract

Interest in business ecosystems has grown exponentially over the last decade. This article focuses on the operational benefits of business ecosystems by investigating how embeddedness in business ecosystems influences supply chain competence. Specifically, it considers the mediating effect of external knowledge capacities (i.e. absorptive, desorptive and connective capacity). Data from 271 European firms in business ecosystems was collected to test the paper’s hypotheses using regression analysis with bootstrapping. Results indicate that business ecosystem embeddedness does not in itself improve supply chain competence. Rather, the relationship is explained through (i) absorptive and desorptive capacity as direct mediators; and (ii) connective capacity, which enhances supply chain competence indirectly by improving external knowledge retention for absorptive and desorptive capacity. To the best of our knowledge, this is the first paper to demonstrate benefits of being embedded in business ecosystems other than in terms of innovation. Newly validated scales for business ecosystem embeddedness and connective capacity are provided.

Item Type:
Journal Article
Journal or Publication Title:
Production Planning and Control
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1400/1408
Subjects:
?? supply chain competencebusiness ecosystem embeddednessabsorptive capacitydesorptive capacityconnective capacitystrategy and managementmanagement science and operations researchindustrial and manufacturing engineeringcomputer science applications ??
ID Code:
156632
Deposited By:
Deposited On:
13 Jul 2021 15:50
Refereed?:
Yes
Published?:
Published
Last Modified:
03 Jan 2024 00:28