Depth vs breadth in boundary-spanning search: the mediating role of digital resource orchestration capability in supply chain performance

Purpose Despite growing interest in boundary-spanning knowledge processes, research on how the joint configuration of search depth and breadth impacts supply chain performance remains limited. This study integrates the knowledge-based view and ambidexterity theory to explore how manufacturing firms configure boundary-spanning search (BSS) to enhance supply chain performance. Design/methodology/approach Empirical data from 285 Chinese manufacturing firms were analyzed using polynomial regression and response surface analysis to examine the relationships between BSS-Depth, BSS-Breadth, and supply chain performance, and the mediating role of digital resource orchestration capability. We complemented the survey with post-hoc semi-structured interviews with 10 manufacturing managers, focusing on discriminating between BSS-Depth and BSS-Breadth, managerial views on aligned and misaligned search configurations, and process explanations for why digital resource orchestration capability does not mediate the relationship between BSS-Breadth and supply chain performance. Findings An aligned configuration of BSS-Depth and BSS-Breadth outperforms misaligned configurations, with the “high BSS-Breadth–high BSS-Depth” combination yielding the best supply chain performance. Under misaligned conditions, prioritizing BSS-Depth has a smaller negative impact than prioritizing BSS-Breadth. Digital resource orchestration capability mediates the relationship between BSS-Depth and supply chain performance but has no significant mediating effect for BSS-Breadth. Originality/value This study examines the role of BSS-Depth and BSS-Breadth configurations in supply chain management, enriches ambidexterity configurations, and clarifies the role of digital resource orchestration capability in knowledge management. It provides actionable insights for manufacturing firms to optimize their search approaches, align stability and flexibility, and enhance supply chain performance.

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Publication Details

Journal
The International Journal of Logistics Management
Published
2026-06-16
DOI
https://doi.org/10.1108/ijlm-09-2025-0671
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Depth vs breadth in boundary-spanning search: the mediating role of digital resource orchestration capability in supply chain performance

Kai wen Ni, Fanchen Kong, Yi Liu
The International Journal of Logistics Management
Innovation and Knowledge Management
article

Depth vs breadth in boundary-spanning search: the mediating role of digital resource orchestration capability in supply chain performance

Kai wen Ni, Fanchen Kong, Yi Liu
article en

Abstract

Purpose Despite growing interest in boundary-spanning knowledge processes, research on how the joint configuration of search depth and breadth impacts supply chain performance remains limited. This study integrates the knowledge-based view and ambidexterity theory to explore how manufacturing firms configure boundary-spanning search (BSS) to enhance supply chain performance. Design/methodology/approach Empirical data from 285 Chinese manufacturing firms were analyzed using polynomial regression and response surface analysis to examine the relationships between BSS-Depth, BSS-Breadth, and supply chain performance, and the mediating role of digital resource orchestration capability. We complemented the survey with post-hoc semi-structured interviews with 10 manufacturing managers, focusing on discriminating between BSS-Depth and BSS-Breadth, managerial views on aligned and misaligned search configurations, and process explanations for why digital resource orchestration capability does not mediate the relationship between BSS-Breadth and supply chain performance. Findings An aligned configuration of BSS-Depth and BSS-Breadth outperforms misaligned configurations, with the “high BSS-Breadth–high BSS-Depth” combination yielding the best supply chain performance. Under misaligned conditions, prioritizing BSS-Depth has a smaller negative impact than prioritizing BSS-Breadth. Digital resource orchestration capability mediates the relationship between BSS-Depth and supply chain performance but has no significant mediating effect for BSS-Breadth. Originality/value This study examines the role of BSS-Depth and BSS-Breadth configurations in supply chain management, enriches ambidexterity configurations, and clarifies the role of digital resource orchestration capability in knowledge management. It provides actionable insights for manufacturing firms to optimize their search approaches, align stability and flexibility, and enhance supply chain performance.

The International Journal of Logistics Management
University of Waterloo (CA), Beijing Technology and Business University (CN), Capital University of Economics and Business (CN)
Reduced inequalities
Openalex Percentile: Top 5%
Innovation and Knowledge Management
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