A Digital Strategy Development Framework for Supply Chains

Ho, Wan Ri, Tsolakis, Naoum, Dawes, Tom, Dora, Manoj and Kumar, Mukesh (2022) A Digital Strategy Development Framework for Supply Chains. IEEE Transactions on Engineering Management. pp. 1-14. ISSN 1558-0040

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Official URL: https://ieeexplore.ieee.org/document/9690037

Abstract

Digitalization has provoked rapid changes in the operational landscape, thus requiring prompt decision-making across end-to-end supply chains. Notwithstanding the fact that technology is the epicenter of digital transformation, more often than not, organizations fail to effectively adopt innovative applications, harness their full potential, and realize growth and competitiveness. Therefore, this article argues that a unique strategy formulation process is required to embrace digitalization in manufacturing supply chains. However, within the context of manufacturing networks, strategy formulation approaches are limited. To this end, this article adopts a case study approach to extract tacit knowledge across 12 multinational companies within the theoretical boundaries of corporate strategy development. Research findings and a theoretically derived framework demonstrate that there are three typologies of digital strategy development for manufacturing supply chains, namely: 1) top-down; 2) bottom-up; and 3) mixed. Every identified typology is supplemented with three determinant criteria for digital supply chain strategy formulation, i.e., number of suppliers, market demand, and product types. Noteworthy, the aforementioned strategies are context-dependent. This article contributes to the operations management field by formulating a novel strategy development framework for digital supply chains. The proposed framework, synthesized via strategic management theoretical views and primary evidence, can provide a reference point as companies chart their current and future digital supply chain strategy state.

Item Type: Journal Article
Additional Information: An Open Access copy of this paper can be found in Brunel University's Research Archive: https://bura.brunel.ac.uk/handle/2438/23560.
Keywords: Supply chains, Robots, Real-time systems, Manufacturing, Companies, Decision making, Bibliographies
Faculty: Faculty of Business & Law
SWORD Depositor: Symplectic User
Depositing User: Symplectic User
Date Deposited: 25 Aug 2022 10:40
Last Modified: 25 Aug 2022 10:40
URI: https://arro.anglia.ac.uk/id/eprint/707795

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