Publisher DOI: 10.1016/j.jss.2021.110950
Title: Application of agile methods in traditional logistics companies and logistics startups : results from a German Delphi Study
Language: 
Authors: Zielske, Malena 
Held, Tobias 
Issue Date: Jul-2021
Publisher: Elsevier
Source: 110950
Journal or Series Name: The journal of systems and software 
Volume: 177
Abstract: 
To meet changing requirements and rising product complexity, a growing number of traditional logistics companies and logistics startups are increasing their agility through the use of progressively agile methods. The objective of the Delphi Study is to assess how traditional logistics companies and logistics startups use agile methods in their IT departments, what benefits they realise and what challenges they face introducing and using agile methods. A modified Delphi Study was conducted over three complementary rounds as an iterative expert judgment process. After the analysis of the results, insights were gained on the following points covering traditional logistics companies and logistics startups: (a) used agile methods and practices, (b) perceived benefits that these methods offer and (c) challenges of applying these methods. The results of the Delphi Study show that traditional logistics companies as well as logistics startups chose similar agile methods and practices. Both company types aim to realise mainly the same benefits but face different challenges regarding the introduction of agile methods. The Delphi Study’s originality lies in its contribution to the largely unexplored area of agility in the field of logistics.
URI: http://hdl.handle.net/20.500.12738/10876
ISSN: 0164-1212
Institute: Fakultät Technik und Informatik 
Department Maschinenbau und Produktion 
Type: Article
Appears in Collections:Publications without full text

Show full item record

Page view(s)

123
checked on Dec 27, 2024

Google ScholarTM

Check

HAW Katalog

Check

Add Files to Item

Note about this record


Items in REPOSIT are protected by copyright, with all rights reserved, unless otherwise indicated.