Smart Information System Capabilities of Digital Supply Chain Business Models

Jochen Nürk
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Jochen Nürk: Mendel University in Brno, Czech Republic

European Journal of Business Science and Technology, 2019, vol. 5, issue 2, 143-184

Abstract: This study explores how supply chain management (SCM) information system (IS) capabilities can lead to superior business performance, and what are the detailed capabilities and methods to master volatility and uncertainties in business environments. Key concepts in SC modelling have been identified for decreasing SC complexity and increasing SC agility and key methods for supply network planning and synchronisation for optimising business performance and objectives that are often contradicting at the same time. The study developed a best practice recommendation for profit-optimised SCM for companies with capital intensive and capacity constrained resources such as in the steel companies and others of the industry, and for managing their integration between SC domains and between technological and organisations' needs simultaneously. Finally, the study shows how Industry 4.0 innovations such as Smart Services and blockchain technology can provide new value potentials such as cross-organisational network effects and increased autonomy in SC ecosystems, and concludes with suggestions for further research in needed rules and semantics for SC ecosystem collaboration.

Keywords: supply chain management; capabilities; artefacts; alignment; Industry 4.0 (search for similar items in EconPapers)
JEL-codes: M11 M15 O31 O32 (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:men:journl:v:5:y:2019:i:2:p:143-184

DOI: 10.11118/ejobsat.v5i2.175

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