Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/87774
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Title: Crowdsourcing for sustainable urban logistics : exploring the factors influencing crowd workers' participative behavior
Authors: Huang, LJ
Xie, GJ
Blenkinsopp, J
Huang, RY 
Bin, H
Issue Date: 2-Apr-2020
Source: Sustainability, 2 Apr. 2020, v. 12, no. 8, 3091, p. 1-20
Abstract: With crowd logistics becoming a crucial part of the last-mile delivery challenge in many cities, continued participation of crowd workers has become an essential issue affecting the growth of the crowd logistics platform. Understanding how people are motivated to continue their participation in crowd logistics can provide some clarity as to what policies and measures should be undertaken by the industry to support its further growth. Using the Push-Pull-Mooring (PPM) theory, we developed a research model to explain the factors influencing crowd workers' participative behavior. Survey data from 455 crowd workers were analyzed using SmartPLS3.0 software. The results show monetary rewards and trust have a significant positive impact on the willingness of crowd workers to continue participating in crowd logistics, while work enjoyment from previous work and entry barriers for work have a significant negative impact. Trust plays an intermediary role between monetary incentives and crowd workers' willingness to continue participating. Based on the findings of this study, we recommend that crowd logistics platforms should offer reasonable monetary incentives and keep these under constant review, build a high degree of trust and cooperation with their crowd workers, and initiate activities geared towards promoting satisfaction at work.
Keywords: Crowd workers
Crowd logistics
PPM theory
Motivating factors
Publisher: Molecular Diversity Preservation International
Journal: Sustainability 
EISSN: 2071-1050
DOI: 10.3390/su12083091
Rights: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
The following publication Huang, L.; Xie, G.; Blenkinsopp, J.; Huang, R.; Bin, H. Crowdsourcing for Sustainable Urban Logistics: Exploring the Factors Influencing Crowd Workers’ Participative Behavior. Sustainability 2020, 12, 3091 is available at https://dx.doi.org/10.3390/su12083091
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