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The impact of digital supply chain transformations and smart technologies on manufacturing productivity: A resource-based view

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  • Rashid Ali

    (Indus University)

  • Fouzia Nasir

    (Sir Syed University of Engineering and Technology)

Abstract

The current research study examines the role of digital supply chains and the associated smart technologies in enhancing productivity performance in the manufacturing industry. Thus, the current research study aimed to explore the effects of digital supply chain transformations, supply chain traceability, and supply chain transparency, as well as the impact of smart technologies on firm performance, with a focus on the mediating effects of supply chain visibility. The current research conceptual model incorporates the independent variables of digital supply chain transformation, supply chain visibility, supply chain transparency, AI, and smart technologies, with the dependent variables including productivity performance. The data were collected from respondents with knowledge of supply chain management, using a convenience sampling technique to gather the data. Due to the limited information available regarding digital supply chain innovation in supply chain operations, the current research study examines the factors of supply chain visibility, supply chain transparency, and supply chain traceability and how these factors affect operational performance. To test hypotheses and achieve study goals, the Resource-Based View (RBV) theory was combined with quantitative research methods. The findings revealed that digital supply chain transformations and smart technologies are positively associated with relationship performance, underscoring the importance for manufacturing organizations to integrate smart technology into their supply chains to enhance operational performance.

Suggested Citation

  • Rashid Ali & Fouzia Nasir, 2025. "The impact of digital supply chain transformations and smart technologies on manufacturing productivity: A resource-based view," Transformations and Sustainability, Centre for Productivity and Sustainability Analysis, vol. 1(4), pages 281-299.
  • Handle: RePEc:dbj:trasus:v:1:y:2025:i:4:p:281-299
    DOI: 10.63775/bchc1378
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