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Scenarios for the logistics services industry: A Delphi-based analysis for 2025()

The logistics services industry will be significantly affected by future developments throughout the world. Therefore, developing future scenarios is an important basis for long-term strategy development. Nevertheless, research exposes that there is a lack of awareness among logistics researchers an...

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Detalles Bibliográficos
Autores principales: von der Gracht, Heiko A., Darkow, Inga-Lena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126021/
https://www.ncbi.nlm.nih.gov/pubmed/32288260
http://dx.doi.org/10.1016/j.ijpe.2010.04.013
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author von der Gracht, Heiko A.
Darkow, Inga-Lena
author_facet von der Gracht, Heiko A.
Darkow, Inga-Lena
author_sort von der Gracht, Heiko A.
collection PubMed
description The logistics services industry will be significantly affected by future developments throughout the world. Therefore, developing future scenarios is an important basis for long-term strategy development. Nevertheless, research exposes that there is a lack of awareness among logistics researchers and practitioners about future scenarios. In this paper, we apply scenario planning and present the findings of an extensive Delphi-based scenario study on the future of the logistics services industry in the year 2025. The major contribution of our research is the development of probable and unforeseen scenarios of the future which may provide a valuable basis for strategy development in the logistics services industry.
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spelling pubmed-71260212020-04-08 Scenarios for the logistics services industry: A Delphi-based analysis for 2025() von der Gracht, Heiko A. Darkow, Inga-Lena Int J Prod Econ Article The logistics services industry will be significantly affected by future developments throughout the world. Therefore, developing future scenarios is an important basis for long-term strategy development. Nevertheless, research exposes that there is a lack of awareness among logistics researchers and practitioners about future scenarios. In this paper, we apply scenario planning and present the findings of an extensive Delphi-based scenario study on the future of the logistics services industry in the year 2025. The major contribution of our research is the development of probable and unforeseen scenarios of the future which may provide a valuable basis for strategy development in the logistics services industry. Elsevier B.V. 2010-09 2010-05-01 /pmc/articles/PMC7126021/ /pubmed/32288260 http://dx.doi.org/10.1016/j.ijpe.2010.04.013 Text en Copyright © 2010 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
von der Gracht, Heiko A.
Darkow, Inga-Lena
Scenarios for the logistics services industry: A Delphi-based analysis for 2025()
title Scenarios for the logistics services industry: A Delphi-based analysis for 2025()
title_full Scenarios for the logistics services industry: A Delphi-based analysis for 2025()
title_fullStr Scenarios for the logistics services industry: A Delphi-based analysis for 2025()
title_full_unstemmed Scenarios for the logistics services industry: A Delphi-based analysis for 2025()
title_short Scenarios for the logistics services industry: A Delphi-based analysis for 2025()
title_sort scenarios for the logistics services industry: a delphi-based analysis for 2025()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126021/
https://www.ncbi.nlm.nih.gov/pubmed/32288260
http://dx.doi.org/10.1016/j.ijpe.2010.04.013
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