Study on the Influencing Factors of Crowdsourcing Logistics under Sharing Economy

Abstract

Abstract:

In the context of sharing economy,it is important for companies to know what factors will affect the crowdsourcing logistics and how to avoid risk. This paper, based on the PPM (Push-Pull-Mooring) theory, constructs a model regarding the factors that influence companies' crowdsourcing logistics. This paper mainly studies the relationship among logistics operation pattern, industry environment, external incentive, internal benefit, security of the conversion and conversion cost with the implementation of crowdsourcing logistics. The empirical results show that logistics operation pattern, external incentives and internal benefits have a significant positive impact on the implementation of crowdsourcing logistics, and the security of transformation has a significant negative impact. In this regard, this paper puts forward four pertinent suggestions from the perspective of crowdsourcing logistics decision-making, image-building, distribution network layout and risk prevention.

Key words: sharing economy, crowdsourcing logistics, PPM theoretical model, influencing factors, SmartPLS

Bin Hou, Wang Huanfang, Xie Guojie. Study on the Influencing Factors of Crowdsourcing Logistics under Sharing Economy[J]. , 2019, 31(8): 219-229.

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