VISIONS OF SUPPLY CHAINS DEVELOPMENT FROM THE ASPECT OF DIGITAL TRANSFORMATION
DOI:
https://doi.org/10.24867/12DS05JasikaKeywords:
supply chains, digital transformation, Delphi technique, directions of developmentAbstract
The paper analyzes possible directions of supply chain development from the aspect of digital transformations in the future. The first part of the paper refers to theoretical assumptions and research studies that deal with visions of development, while the second part presents a possible methodology for assessing the development of logistics in the Republic of Serbia based on Delphi technique as a method of qualitative predictions.
References
[1] Николичић С.,Стојановић Ђ.,Масларић М.: Основи логиситке: принципи, системи и процеси, Универзитет у Новом Саду, Факултет техничких наука, 2016.
[2] Vallance P.: A time of unprecedented change in the transport system, Government Office for Science, 2019.
[3] https://www.startus-insights.com/logistics-industry/
[4] Straube F.,Lisa Junge A.,Verhoeven P.,Reipert J.,Mansfeld M.: Pathway of Digital Transformation in Logistics, Technische Universität Berlin, 2019.
[5] Kerna, J.Wolff P.: The digital transformation of the automotive supply chain – an empirical analysis with evidence from Germany and China: Case study contribution to the OECD TIP Digital and Open Innovation project, 2019.
[6] Heutger, M.,Kückelhaus M.: Logistics Trend Radar Delivering insight today, creating value tomorrow version 2018/19, Bonn, 2019
[7] Grime,M.,Wright, G.:Delphi metod, 2016
[2] Vallance P.: A time of unprecedented change in the transport system, Government Office for Science, 2019.
[3] https://www.startus-insights.com/logistics-industry/
[4] Straube F.,Lisa Junge A.,Verhoeven P.,Reipert J.,Mansfeld M.: Pathway of Digital Transformation in Logistics, Technische Universität Berlin, 2019.
[5] Kerna, J.Wolff P.: The digital transformation of the automotive supply chain – an empirical analysis with evidence from Germany and China: Case study contribution to the OECD TIP Digital and Open Innovation project, 2019.
[6] Heutger, M.,Kückelhaus M.: Logistics Trend Radar Delivering insight today, creating value tomorrow version 2018/19, Bonn, 2019
[7] Grime,M.,Wright, G.:Delphi metod, 2016
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Published
2021-04-02
Issue
Section
Traffic Engineering
