Article2021

Intellectual capital and supply chain resilience

Muhammad Shujaat Mubarik · Nick Bontis · Mobashar Mubarik · Tarique Mahmood

211 citations0/0 files storedJournal of Intellectual Capital

No readable copy stored yet — this record is metadata only.

Supply Chain Resilience and Risk Management Quality and Supply Management Intellectual Capital and Performance Analysis

Abstract

Purpose The main objective of this study is to test whether firms with a higher level of intellectual capital (IC) perform better in terms of their supply chain resilience compared to those with lower levels of IC. Likewise, the study also examines the impact of IC (characterized by human capital, relational capital and structural capital) on supply chain resilience directly and through supply chain learning. Design/methodology/approach Data were collected from the 159 processed-food sector firms using a close-ended questionnaire during the corona virus 2019 (COVID-19) pandemic. Partial least squares structural equation modelling (PLS-SEM), partial least squares multigroup analysis (PLS-MGA) and one-way analysis of variance (ANOVA) were used to test a set of hypotheses emanating from a conceptual model of IC and supply chain resilience. Findings Empirical results revealed a significant influence of all dimension of IC on a firm's supply chain learning and supply chain resilience. Likewise, findings also exhibit a momentous role of supply chain learning in reinforcing the impact of IC on supply chain resilience. Cross-firm size comparison reveals that supply chain resilience of firms with a higher level of IC performed significantly better than those with lower levels of IC. Firms with a higher level of structural capital had a highly resilient supply chain. Practical implications Findings of the study imply that IC and supply chain learning should be considered as a strategic tool and should be strategically developed for uplifting a supply chain performance of a firm. The development of IC and supply chain learning (SCL) not only improves the supply chain resilience of a firm but also can help to integrate the internal and external knowledge for harnessing supply chain resilience. Originality/value This research study was conducted during the COVID-19 pandemic which provides a unique setting to examine resiliency and learning.

Citations in this library

Stored only when both papers are in the corpus — 211 citations exist upstream.

References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 1990Absorptive Capacity: A New Perspective on Learning and Innovation 1984A resource‐based view of the firm 2011PLS-SEM: Indeed a Silver Bullet 2007Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance 2011Sources of Method Bias in Social Science Research and Recommendations on How to Control It 1998Social Capital, Intellectual Capital, and the Organizational Advantage 1998Relative absorptive capacity and interorganizational learning

Cited by

2022Networking and knowledge creation: Social capital and collaborative innovation in responding to the COVID-19 crisis 2021Intellectual capital, blockchain-driven supply chain and sustainable production: Role of supply chain mapping 2022From supply chain resilience to supply chain disruption orientation: the moderating role of supply chain complexity 2021Impact of blockchain technology on green supply chain practices: evidence from emerging economy 2023Artificial intelligence techniques for enhancing supply chain resilience: A systematic literature review, holistic framework, and future research

Imported from OpenAlex (CC0) — nothing here is generated.