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Research on Risk Strategy of Mutual Aid Pickup Platform on Agricultural University

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DOI: 10.23977/msom.2023.040509 | Downloads: 14 | Views: 302

Author(s)

Wenjie Song 1, Meijiao Ding 1, Chunxue Yu 1, Jixin Zhao 1, Yingchao Song 1, Bo Yu 1

Affiliation(s)

1 School of Economics and Management, Heilongjiang Bayi Agricultural University, Daqing, China

Corresponding Author

Bo Yu

ABSTRACT

In today's society, the network economy is developing rapidly, and the service mode of the express delivery industry is constantly upgrading under the development of the network economy. The express delivery industry plays a huge role in connecting college students to the participation process of the network economy, and a huge express delivery market has emerged on campus. Due to the limited nature of express delivery resources on college campuses, the express pickup industry has gradually appeared on major campuses, and the express pickup industry will also adapt to the development of the network economy and become increasingly prosperous. Mutual aid pickup is a major innovation of the traditional equivalent exchange and substitution model. At present, the campus express pickup industry has formed a certain operation mode, which has played a role in solving the "end kilometer" problem of express delivery. "Agricultural University" is the abbreviation of Heilongjiang Bayi Agricultural University. Based on the analysis of the current situation of the campus express pickup industry of Heilongjiang Bayi Agricultural University, this paper will carry out a feasibility analysis of the campus express mutual aid pickup platform, study the risks of the mutual aid pickup platform from multiple angles, and propose solution strategies from multiple dimensions such as platform management and operation.

KEYWORDS

Campus express delivery, pick-up platform, mutual aid, risk

CITE THIS PAPER

Wenjie Song, Meijiao Ding, Chunxue Yu, Jixin Zhao, Yingchao Song, Bo Yu, Research on Risk Strategy of Mutual Aid Pickup Platform on Agricultural University. Manufacturing and Service Operations Management (2023) Vol. 4: 68-73. DOI: http://dx.doi.org/10.23977/msom.2023.040509.

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