Smart information system capabilities of digital supply chain business models

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F19%3A43919224" target="_blank" >RIV/62156489:43110/19:43919224 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.11118/ejobsat.v5i2.175" target="_blank" >http://dx.doi.org/10.11118/ejobsat.v5i2.175</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.11118/EJOBSAT.V5I2.175" target="_blank" >10.11118/EJOBSAT.V5I2.175</a>

Result language

angličtina

Original language name

Smart information system capabilities of digital supply chain business models

Original language description

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&apos; 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.

Czech name

—

Czech description

—

Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

—

OECD FORD branch

50204 - Business and management

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

European Journal of Business Science and Technology

ISSN

2336-6494

e-ISSN

2694-7161

Volume of the periodical

5

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

42

Pages from-to

143-184

UT code for WoS article

—

EID of the result in the Scopus database

2-s2.0-85107878741