What is it about?
This study examines how tech-driven integration (TDI), supply chain flexibility (SCF), and organizational ambidexterity (ORA) affect supply chain integration (SCI) and supply chain performance (SCP) in manufacturing firms. It also investigates the moderating effects of supply chain uncertainty and supply chain agility on these relationships. Using the resource-based view (RBV) as a theoretical lens and data from 409 valid responses in the manufacturing sector, the authors applied PLS-SEM to analyze the proposed model. The key findings are: TDI and ORA positively influence SCI. SCF does not significantly impact SCI. SCI positively contributes to SCP. Supply chain uncertainty moderates the effects of TDI and ORA on SCI. Supply chain agility moderates the relationship between SCI and SCP. The study offers new insights into the relational dynamics of supply chain management, highlighting the critical roles of digital integration and ambidextrous capabilities. It provides practical recommendations for managers to enhance supply chain performance by focusing on digitalization, adaptability, and strategic integration under conditions of uncertainty and change.
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Why is it important?
This study is important because it addresses how manufacturing firms can enhance their supply chain integration (SCI) and performance (SCP) in the face of increasing technological disruption and market uncertainty. By exploring the roles of tech-driven integration, organizational ambidexterity, and supply chain flexibility, it identifies the internal capabilities that drive effective supply chain strategies. Moreover, the study highlights the importance of uncertainty and agility as key factors that influence how these capabilities translate into performance outcomes. This is especially relevant in today’s rapidly changing environment, where firms must be both adaptive and innovative. Practically, the research offers actionable insights for managers aiming to strengthen their supply chain operations through digital tools, flexible processes, and a balanced approach to innovation and efficiency. Theoretically, it expands the resource-based view (RBV) by integrating dynamic factors like agility and uncertainty into the model. Overall, the study contributes to building resilient and future-ready supply chains, which is crucial for maintaining competitiveness in the manufacturing sector.
Perspectives
From a theoretical perspective, this study deepens our understanding of the resource-based view (RBV) by incorporating dynamic capabilities such as tech-driven integration, organizational ambidexterity, and supply chain flexibility, along with external factors like uncertainty and agility. It shows how these elements interact to influence supply chain integration and performance, offering a more comprehensive view of strategic supply chain management. From a managerial perspective, the findings highlight the need for firms to invest in digital technologies, cultivate ambidextrous capabilities, and adapt quickly to changes in the environment. Managers can use these insights to make informed decisions on enhancing supply chain efficiency, resilience, and competitiveness. From a practical and policy perspective, the study emphasizes the importance of agility and adaptability in the face of market disruptions, helping firms prepare for future shocks. Policymakers and industry leaders can use this evidence to support strategies that foster digital transformation and supply chain innovation at a broader industry level. In essence, this research offers multi-dimensional insights, theoretically enriching, strategically valuable, and practically applicable to navigate the evolving challenges of modern supply chains.
Dr. Muhammad Khalilur Rahman
Faculty of Entrepreneurship and Business University Malaysia Kelantan
Read the Original
This page is a summary of: Impact of tech-driven integration, flexibility, and ambidexterity on supply chain integration and performance in manufacturing firms: moderating role of uncertainty and agility, Future Business Journal, April 2025, Springer Science + Business Media,
DOI: 10.1186/s43093-025-00488-9.
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