Research on Business Model Construction and Innovation of Smartphone Training for Farmers in Rural Areas

DOI

10.2991/aebmr.k.201211.032How to use a DOI?

Keywords

College volunteers, farmers, smartphone training, business canvas theory, business model

Abstract

In terms of smartphone training for farmers, the model of “Government-Matchmaking and Enterprise Training” has achieved a series of results, but there are also many problems such as short training period, limited training scope and few training personnel. In this case, the idea of connecting college volunteers with national smartphone training for farmers is put forward, which is a beneficial discussion and innovative extension of the current training mode. Firstly, this paper expounds and analyzes the status quo of smartphone training for farmers and summarizes the existing literature. Then business canvas theory is used to depict the new business model of docking online and offline trainings, which includes three specific modes, “farmers + online knowledge point learning platform”, “college volunteers + farmers” offline teaching, “college volunteers + online volunteer docking platform” and their implementation paths. And the innovation and advantages of this business model are analysed in order to provide a new reference for the country’s smartphone training for farmers.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xinghao Zhu
AU  - Chunjie Xiang
AU  - Meng Wang
AU  - Zihang Luo
AU  - Xi Xiang
AU  - Heng Li
PY  - 2020
DA  - 2020/12/14
TI  - Research on Business Model Construction and Innovation of Smartphone Training for Farmers in Rural Areas
BT  - Proceedings of the Fifth International Conference on Economic and Business Management (FEBM 2020)
PB  - Atlantis Press
SP  - 176
EP  - 184
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.201211.032
DO  - 10.2991/aebmr.k.201211.032
ID  - Zhu2020
ER  -