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Dokumenttyp:
Konferenzbeitrag 
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz 
Autor(en):
Soto Setzke, David; Pflügler, Christoph; Schreieck, Maximilian; Fröhlich, Sven; Wiesche, Manuel; Krcmar, Helmut 
Nicht-TUM Koautoren:
nein 
Kooperation:
Titel:
Matching Drivers and Transportation Requests in Crowdsourced Delivery Systems. 
Abstract:
While the sales volume of e-commerce transactions is growing rapidly, the traditional concept of packages delivery has been challenged by innovative approaches such as crowdsourced delivery. Using individuals, for example commuters, to deliver packages from senders to receivers can provide several economic and environmental benefits. This paper illustrates an algorithm that automates and optimizes the assignment of drivers to transportation requests by matching them based on transportati...    »
 
Intellectual Contribution:
Discipline-based Research 
Kongress- / Buchtitel:
23rd Americas Conference on Information Systems (AMCIS) 
Kongress / Zusatzinformationen:
Boston, USA. 
Jahr:
2017 
Monat:
Oct 
Peer reviewed:
Ja 
International:
Ja 
Book review:
Nein 
commissioned:
not commissioned 
Interdisziplinarität:
Ja 
Leitbild:
Ethics & Sustainability:
Nein