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  4. Impact of Digitalization on Logistics Provider Business Models
 
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Impact of Digitalization on Logistics Provider Business Models

Citation Link: https://doi.org/10.15480/882.3134
Publikationstyp
Conference Paper
Date Issued
2020-09-23
Sprache
English
Author(s)
Stradner, Sascha  
Brunner, Uwe  
Herausgeber*innen
Kersten, Wolfgang  orcid-logo
Blecker, Thorsten  orcid-logo
Ringle, Christian M.  orcid-logo
TORE-DOI
10.15480/882.3134
TORE-URI
http://hdl.handle.net/11420/8039
First published in
Proceedings of the Hamburg International Conference of Logistics (HICL)  
Number in series
29
Start Page
911
End Page
938
Citation
Hamburg International Conference of Logistics (HICL) 29: 911-938 (2020)
Contribution to Conference
Hamburg International Conference of Logistics (HICL) 2020  
Publisher Link
https://www.epubli.de/shop/buch/Data-Science-and-Innovation-in-Supply-Chain-Management-Wolfgang-Kersten-9783753123462/106047
Publisher
epubli
Purpose: Digitalization and its technologies enables especially logistics startups to enter the market with low barriers. Well-established enterprises potentially suffer from this development by overlooking the ongoing technological leap. Therefore, the paper includes a research to point out current dynamic of the market and poten-tial risks and chances for current enterprises. Methodology: For this purpose, an overview of the market development and the fun-damental re-thinking of logistics business models based on a literature research is given and reflected. It focuses on technologies, entry barriers for startups and re-thinking of current business models. Subsequently, the impact for current enter-prises should be shown up. Findings: The research points out the dynamic of the business and the risks for well-established enterprises on the market. Startups accelerate the market dynamic by introducing new technologies on the market, which are seen either as risk or chance for enterprises. Organisational inflexibility could lead to a replacement of market leaders. Originality: Using modern technology business models can be absolutely re-de-fined. While an abundance of startups could mostly cover performance spectrum of established enterprises in a new way, the latter suffers from rigid company structure. By conducting the research, the current state and risks and chances for current en-terprises should be outlined.
Subjects
Logistics
Industry 4.0
Digitalization
Innovation
Supply Chain Management
Artificial Intelligence
Data Science
DDC Class
330: Wirtschaft
380: Handel, Kommunikation, Verkehr
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by-sa/4.0/
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