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The impacts of AWS from digital visions to action for supply chain resilience, performances, and inclusiveness

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Abstract

This study aims to investigate digital vision strategies and develop an Amazon Web Services (AWS)–enabled model that contributes to enhancing supply chain resilience, supply chain performances, and inclusiveness in the manufacturing industry. Both qualitative and quantitative mixed-approach methods have been employed in these investigations. An intensive literature review of relevant studies and descriptive research analysis were employed for the investigations. Also, empirical investigations through descriptive statistics analysis employed aim to explore the impacts of digital vision and AWS technology adoption on supply chain resilience, performance, and inclusive developments. The result reveals that manufacturing industries predominantly operate based on traditional supply chain beliefs rather than actively embracing the concepts of digital vision strategies. It further shows that as the propagation of innovation and digital technologies continues to disrupt market segments and industries, adopting AWS can help you transform organizations to meet changing business conditions and evolving customer needs. The result also shows that for the enhancement of digital vision strategies, the development of innovative AWS models on the cloud platform has great positive impacts on supply chain resilience, supply chain performance, and inclusive developments in manufacturing industries. The results of this digital vision, primarily focused on helping to optimize costs, reduce business risks, improve operational efficiency, and provide more agile, innovative, and faster business practices to each segment of the supply chain process. Based on the results and investigations, a digital model AWS was developed and proposed. This study represents an innovative effort in developing a new digital vision strategy model that aligns with sustainability and performance goals and emphasizes supply chain resilience, inclusive development, and supply chain performance in the manufacturing industries. The results of this research could provide valuable insights to researchers, policymakers, and industry leaders in order to enhance digitalization, which supports supply chain resilience, performance, and inclusiveness.

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Data availability

The data that support the findings of this study are available from the corresponding author (Alie Wube Damtew, alie.wube@aait.edu.et), upon reasonable request.

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Acknowledgements

The authors would like to express their appreciation for the editor and reviewers’ valuable comments and very detailed remarks, which were of significant help to improve the quality of this paper.

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Authors and Affiliations

  1. KIoT, Wollo University, Dessie/Kombolcha, Ethiopia

    Alie Wube Damtew

  2. Addis Ababa Science and Technology University, Addis Ababa, Ethiopia

    Yitagesu Yilma Goshu

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  1. Alie Wube Damtew
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  2. Yitagesu Yilma Goshu
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Correspondence to Alie Wube Damtew.

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Damtew, A.W., Goshu, Y.Y. The impacts of AWS from digital visions to action for supply chain resilience, performances, and inclusiveness. Int J Adv Manuf Technol 130, 4821–4834 (2024). https://doi.org/10.1007/s00170-023-12919-4

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