research-article

Crowdsourcing in logistics: concepts and applications using the social crowd

Authors:

Andreas Mladenow,

Christine Bauer,

Christine StraussAuthors Info & Claims

iiWAS '15: Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services

Article No.: 30, Pages 1 - 8

https://doi.org/10.1145/2837185.2837242

Published: 11 December 2015 Publication History

Abstract

The introduction of crowdsourcing offers numerous business opportunities. In recent years, manifold forms of crowdsourcing have emerged on the market -- also in logistics. Thereby, the ubiquitous availability and sensor-supported assistance functions of mobile devices support crowdsourcing applications, which promotes contextual interactions between users at the right place at the right time. This paper presents the results of an in-depth-analysis on crowdsourcing in logistics in the course of ongoing research in the field of location-based crowdsourcing (LBCS). This paper analyzes LBCS for both, 'classic' logistics as well as 'information' logistics. Real-world examples of crowdsourcing applications are used to underpin the two evaluated types of logistics using crowdsourcing. Potential advantages and challenges of logistics with the crowd ('crowd-logistics') are discussed. Accordingly, this paper aims to provide the necessary basis for a novel interdisciplinary research field.

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Cited By

Çay AKüp EBayram BÇıltık A(2024)Courier Payout Cash-Flow Prediction in Crowdsourced E-Commerce Logistics: A Hybrid Machine Learning ApproachIntelligent and Fuzzy Systems10.1007/978-3-031-67195-1_25(195-207)Online publication date: 30-Aug-2024
https://doi.org/10.1007/978-3-031-67195-1_25
Xie GLin XDeng BZhang QTian Y(2023)Factors Influencing Crowdworkers’ Continued Participation Behavior in Crowdsourcing Logistics: A Textual Analysis of Comments from Online PlatformsSustainability10.3390/su15191415715:19(14157)Online publication date: 25-Sep-2023
https://doi.org/10.3390/su151914157
Ta HEsper TRossiter Hofer ASodero A(2023) Crowdsourced delivery and customer assessments of e‐Logistics Service Quality: An appraisal theory perspective Journal of Business Logistics10.1111/jbl.1232744:3(345-368)Online publication date: 5-Jan-2023
https://doi.org/10.1111/jbl.12327
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Index Terms

Crowdsourcing in logistics: concepts and applications using the social crowd
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing design and evaluation methods
    2. Collaborative and social computing theory, concepts and paradigms
  2. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Web-based interaction

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cover image ACM Other conferences

iiWAS '15: Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services

December 2015

704 pages

ISBN:9781450334914

DOI:10.1145/2837185

General Chair:
Gabriele Anderst-Kotsis
Johannes Kepler University Linz, Austria
,
Program Chair:
Maria Indrawan-Santiago
Monash University, Australia

Copyright © 2015 ACM.

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Publication History

Published: 11 December 2015

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iiWAS '15: The 17th International Conference on Information Integration and Web-based Application & Services

December 11 - 13, 2015

Brussels, Belgium

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Cited By

Çay AKüp EBayram BÇıltık A(2024)Courier Payout Cash-Flow Prediction in Crowdsourced E-Commerce Logistics: A Hybrid Machine Learning ApproachIntelligent and Fuzzy Systems10.1007/978-3-031-67195-1_25(195-207)Online publication date: 30-Aug-2024
https://doi.org/10.1007/978-3-031-67195-1_25
Xie GLin XDeng BZhang QTian Y(2023)Factors Influencing Crowdworkers’ Continued Participation Behavior in Crowdsourcing Logistics: A Textual Analysis of Comments from Online PlatformsSustainability10.3390/su15191415715:19(14157)Online publication date: 25-Sep-2023
https://doi.org/10.3390/su151914157
Ta HEsper TRossiter Hofer ASodero A(2023) Crowdsourced delivery and customer assessments of e‐Logistics Service Quality: An appraisal theory perspective Journal of Business Logistics10.1111/jbl.1232744:3(345-368)Online publication date: 5-Jan-2023
https://doi.org/10.1111/jbl.12327
Bortolini MCalabrese FGalizia F(2022)Crowd Logistics: A Survey of Successful Applications and Implementation Potential in Northern ItalySustainability10.3390/su14241688114:24(16881)Online publication date: 15-Dec-2022
https://doi.org/10.3390/su142416881
Bajec PTuljak-Suban D(2022)A Strategic Approach for Promoting Sustainable Crowdshipping in Last-Mile DeliveriesSustainability10.3390/su14201350814:20(13508)Online publication date: 19-Oct-2022
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Alharbi ACantarelli CBrint A(2022)Crowd Models for Last Mile Delivery in an Emerging EconomySustainability10.3390/su1403140114:3(1401)Online publication date: 26-Jan-2022
https://doi.org/10.3390/su14031401
Edgeman RSevak KJensen NMortensen T(2021)The Power of ManyInternational Journal of R&D Innovation Strategy10.4018/IJRDIS.2878753:1(1-17)Online publication date: 15-Oct-2021
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Sakas DReklitis D(2021)The Impact of Organic Traffic of Crowdsourcing Platforms on Airlines’ Website Traffic and User EngagementSustainability10.3390/su1316885013:16(8850)Online publication date: 7-Aug-2021
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DÜNDAR A(2021)Kitle Kaynak Lojistiğin Son Adım Teslimatlarda Uygulanması Üzerine Bir AraştırmaA Study on the Application of Crowdsourced Logistics in Last Mile DeliveriesSelçuk Üniversitesi Sosyal Bilimler Meslek Yüksekokulu Dergisi10.29249/selcuksbmyd.99814924:2(511-527)Online publication date: 30-Nov-2021
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Ciobotaru GChankov S(2021)Towards a taxonomy of crowdsourced delivery business modelsInternational Journal of Physical Distribution & Logistics Management10.1108/IJPDLM-10-2019-0326ahead-of-print:ahead-of-printOnline publication date: 25-Mar-2021
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