Author(s)

Peng Wang ¹

Affiliation(s)

¹ School of Economics and Management, Dalian University, No.10, Xuefu Avenue, Economic & Technical Development Zone, Dalian, Liaoning, The People's Republic of China (PRC)

Corresponding Author

Peng Wang

ABSTRACT

The development of the rural economy has driven the increase of rural e-commerce transaction volume, while the relatively backward logistics and distribution resources in rural areas are difficult to adapt to the growing trend of business volume. Therefore, it first summarizes the current status of rural e-commerce end-delivery business, analyzes the current rural e-commerce end-delivery business model, secondly analyzes the existing typical problems from various aspects of distribution resources, and again proposes the application value of crowdsourcing model and end-delivery The application process in the link; Finally, a security strategy for the implementation of the crowdsourcing model is proposed from the aspects of recruitment, training, assessment, and site selection.

KEYWORDS

Rural e-commerce; crowdsourcing model; end-delivery; workflow

CITE THIS PAPER

Peng Wang. Research on Rural E-commerce Terminal Distribution Strategy Based on Crowdsourcing Model. Information Systems and Economics (2020) 1: 25-28. DOI: http://dx.doi.org/10.23977/infse.2020.010103.

REFERENCES

[1] Liu, H.Q. (2018) Optimization of cold chain logistics distribution network terminal, EURASIP Journal on Wireless Communications and Networking, 6, 1-9.
[2] Zhu, X. (2018) A Flexsim-based Optimization for the Operation Process of Cold-Chain Logistics Distribution Centre, Journal of Applied Research and Technology, 7, 270-278.
[3] Rosová, A. (2016) Indices system design of distribution logistics, transport logistics and materials flow as parts of controlling in enterprise´s logistics, Acta Montanistica Slovaca, 5, 68-96.
[4] Mangla, S.K. (2019) Logistics and distribution challenges to managing operations for corporate sustainability: Study on leading Indian diary organizations, Journal of Cleaner Production, 5, 258-306.

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