Influence of supply chain digitalization on supply chain agility, resilience and performance: environmental dynamism as a moderator

Luay Jum’a · Saad M. Zighan · Ziad Alkalha

48 citations0/0 files storedJournal of Manufacturing Technology Management

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Quality and Supply Management Supply Chain Resilience and Risk Management Collaboration in agile enterprises

Abstract

Purpose This study aims to examine the impact of supply chain digitalization (SCD) on supply chain performance (SCP) with the integration of supply chain agility (SCA) and supply chain resilience (SCR) in manufacturing firms. Additionally, it investigates the moderating role of environmental dynamism (ED) in these relationships in the context of manufacturing firms. Design/methodology/approach A quantitative research design was employed, utilizing a structured questionnaire to collect data. The sample consisted of 374 valid responses from various managerial levels within manufacturing firms in Jordan. A purposive sampling technique was used to ensure that participants had relevant expertise in supply chain management. The data were analyzed using structural equation modeling (SEM) through Smart PLS software to test the proposed hypotheses. Findings The study found that SCD positively impacts SCP by enhancing both SCA and SCR. Digital technologies were shown to improve supply chain visibility, speed of decision-making and resource efficiency, which are essential for maintaining performance under uncertain conditions. Furthermore, ED significantly moderates the relationship between digitalization and SCP, indicating that the benefits of digitalization on SCA and SCR are more pronounced in highly dynamic environments. Originality/value This study contributes to the literature by offering an investigation on the role of SCD in influencing SCA, SCR and ultimately SCP in manufacturing firms. It also sheds light on the moderating effect of ED, providing a deeper understanding of the conditions under which digital transformation in supply chains is most beneficial. The study was based on three theoretical foundations: the resource-based view (RBV), the dynamic capabilities theory (DCT) and the contingency theory (CT).

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References

1981Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics 2018Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal 2016Dynamic Capabilities and Organizational Agility: Risk, Uncertainty, and Strategy in the Innovation Economy 2018The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics 2016Big data analytics in logistics and supply chain management: Certain investigations for research and applications 2014Firm's resilience to supply chain disruptions: Scale development and empirical examination 2015How Smart, Connected Products Are Transforming Companies 2020Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era

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