Enhancing cognitive metrics in supply chain management through information and knowledge exchange

Purpose This research primarily aims to investigate the impact of organizational implants on knowledge transmission, process innovation and security integration in intricate supply chains. Design/methodology/approach The research utilizes a mixed-method approach, employing a stratified sampling strategy to get a representative sample of 1,284 enterprises from various sectors within the logistics industry within the European Union. Data were gathered by computer-assisted web interviewing (CAWI) and analysed utilizing structural equation modelling (SEM) to evaluate hypotheses concerning cognitive congruence, process diffusion and security integration. Findings The results indicate that while task interdependence clearly improves face-to-face communication, excessive cognitive congruence can hinder process innovation, resulting in what the article terms “cognitive rigidity.” The study suggests that achieving a balance between cognitive congruence and cognitive flexibility is crucial to improving the safety diffusion and integration process. Originality/value This study presents an innovative conceptual framework that synthesizes cognitive congruence, cognitive flexibility and cognitive rigidity to examine their combined influence on knowledge transfer and process dissemination throughout supply chains. It presents cognitive stiffness as a boundary condition, contesting the conventional belief that more cognitive congruence is invariably advantageous.

Authors

Institutions

Publication Details

Journal
The International Journal of Logistics Management
Published
2025-02-04
DOI
https://doi.org/10.1108/ijlm-04-2024-0243
Citations
13
Primary Topic
Competitive and Knowledge Intelligence
Type
article
Field-Weighted Citation Impact
28.94
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing cognitive metrics in supply chain management through information and knowledge exchange

K. Mathiyazhagan, Tarik Saikouk, Xin Zhao, Justyna Żywiołek et al.
13 citations
The International Journal of Logistics Management
Competitive and Knowledge Intelligence
28.94
article

Enhancing cognitive metrics in supply chain management through information and knowledge exchange

K. Mathiyazhagan, Tarik Saikouk, Xin Zhao, Justyna Żywiołek, Umer Shahzad
article en
13 citations

Abstract

Purpose This research primarily aims to investigate the impact of organizational implants on knowledge transmission, process innovation and security integration in intricate supply chains. Design/methodology/approach The research utilizes a mixed-method approach, employing a stratified sampling strategy to get a representative sample of 1,284 enterprises from various sectors within the logistics industry within the European Union. Data were gathered by computer-assisted web interviewing (CAWI) and analysed utilizing structural equation modelling (SEM) to evaluate hypotheses concerning cognitive congruence, process diffusion and security integration. Findings The results indicate that while task interdependence clearly improves face-to-face communication, excessive cognitive congruence can hinder process innovation, resulting in what the article terms “cognitive rigidity.” The study suggests that achieving a balance between cognitive congruence and cognitive flexibility is crucial to improving the safety diffusion and integration process. Originality/value This study presents an innovative conceptual framework that synthesizes cognitive congruence, cognitive flexibility and cognitive rigidity to examine their combined influence on knowledge transfer and process dissemination throughout supply chains. It presents cognitive stiffness as a boundary condition, contesting the conventional belief that more cognitive congruence is invariably advantageous.

The International Journal of Logistics ManagementVol. 36(7)
Częstochowa University of Technology (PL), Anhui University of Finance and Economics (CN), Czech University of Life Sciences Prague (CZ), Excelia Business School (FR), Data Management (Italy) (IT), Széchenyi István University (HU)
Openalex Percentile: Top 1%
Competitive and Knowledge Intelligence
28.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.