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<p>This study investigates how tech-driven integration (TDI), supply chain flexibility (SCF), and organizational ambidexterity (ORA) influence supply chain integration (SCI) and supply chain performance (SCP) in manufacturing firms. Supply chain uncertainty and agility are examined as moderating factors in the relationship between TDI, SCF, ORA, SCI, and supply chain performance. Based on insights from two experts and a comprehensive literature review, 35 measurement items were identified for the close-ended questionnaire design. Grounded in the resource-based view, the study employs the partial least squares structural equation modeling (PLS-SEM) approach to analyze 409 valid responses from the manufacturing industry. Our findings reveal that TDI and ORA positively impact SCI, while SCF has no significant influence on SCI. SCI directly influences SCP. Supply chain uncertainty moderates the two impacts: TDI and SCI; ORA and SCI. Besides, supply chain agility moderates the relationship between SCI and SCP. Our findings contribute to the literature by introducing a novel perspective on the relational dynamics of supply chain management by TDI and emphasizing the importance of organizational ambidexterity. We provide practical recommendations for managers to improve firm performance by strengthening the connections between TDI, SCF, ORA, uncertainty, agility, SCI, and SCP.</p>

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Impact of tech-driven integration, flexibility, and ambidexterity on supply chain integration and performance in manufacturing firms: moderating role of uncertainty and agility

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年4月15日

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  • Muhammad Khalilur Rahman,
  • Md Arafat Hossain,
  • Arsalan Zahid Piprani,
  • Ahmad Ridhuwan Abdullah

摘要

This study investigates how tech-driven integration (TDI), supply chain flexibility (SCF), and organizational ambidexterity (ORA) influence supply chain integration (SCI) and supply chain performance (SCP) in manufacturing firms. Supply chain uncertainty and agility are examined as moderating factors in the relationship between TDI, SCF, ORA, SCI, and supply chain performance. Based on insights from two experts and a comprehensive literature review, 35 measurement items were identified for the close-ended questionnaire design. Grounded in the resource-based view, the study employs the partial least squares structural equation modeling (PLS-SEM) approach to analyze 409 valid responses from the manufacturing industry. Our findings reveal that TDI and ORA positively impact SCI, while SCF has no significant influence on SCI. SCI directly influences SCP. Supply chain uncertainty moderates the two impacts: TDI and SCI; ORA and SCI. Besides, supply chain agility moderates the relationship between SCI and SCP. Our findings contribute to the literature by introducing a novel perspective on the relational dynamics of supply chain management by TDI and emphasizing the importance of organizational ambidexterity. We provide practical recommendations for managers to improve firm performance by strengthening the connections between TDI, SCF, ORA, uncertainty, agility, SCI, and SCP.