Sustainable Entrepreneurship in Rural E-Commerce: Identifying Entrepreneurs in Practitioners by Using Deep Neural Networks Approach

Guojie Xie, Lijuan Huang, Hou Bin, Chrysostomos Apostolidis, Yaohui Jiang, Guokai Li, Weiwei Cai · 2022 · Frontiers in Environmental Science

Summary. Rural residents increasingly pursue e-commerce businesses as digital technology narrows the urban-rural divide. This study surveyed 162 rural e-commerce practitioners and used deep neural networks to identify which ones qualify as entrepreneurs. The researchers developed an indicator system based on entrepreneurial event models, achieving over 90% prediction accuracy. Results show that perceived feasibility and desirability are key factors influencing rural residents' ability to start e-commerce businesses. Local governments and platforms should provide tailored support addressing these practical concerns.

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@article{xie-2022-sustainable-entrepreneurship-rural-e-commerce,
  title   = {Sustainable Entrepreneurship in Rural E-Commerce: Identifying Entrepreneurs in Practitioners by Using Deep Neural Networks Approach},
  author  = {Guojie Xie and Lijuan Huang and Hou Bin and Chrysostomos Apostolidis and Yaohui Jiang and Guokai Li and Weiwei Cai},
  journal = {Frontiers in Environmental Science},
  year    = {2022},
  doi     = {10.3389/fenvs.2022.840479},
  url     = {https://doi.org/10.3389/fenvs.2022.840479}
}

TY  - JOUR
TI  - Sustainable Entrepreneurship in Rural E-Commerce: Identifying Entrepreneurs in Practitioners by Using Deep Neural Networks Approach
AU  - Guojie Xie
AU  - Lijuan Huang
AU  - Hou Bin
AU  - Chrysostomos Apostolidis
AU  - Yaohui Jiang
AU  - Guokai Li
AU  - Weiwei Cai
JO  - Frontiers in Environmental Science
PY  - 2022
DO  - 10.3389/fenvs.2022.840479
UR  - https://doi.org/10.3389/fenvs.2022.840479
ER  - 

Details

DOI

10.3389/fenvs.2022.840479

Countries

China

Regions

Asia

Categories

broadband-and-digital, entrepreneurship, rural-data-and-definitions

Added

2026-04-28