Influencing factor modeled examination on internet rural logistics talent innovation mechanism based on fuzzy comprehensive evaluation method

Hui Zhan, Xin Zhang, Haiwen Wang · 2021 · PLoS ONE

Summary. China's rural logistics system lags behind urban development, limiting talent innovation in e-commerce. This paper identifies factors hindering rural e-commerce talent innovation and proposes countermeasures to improve practitioner skills. Using fuzzy comprehensive evaluation and system analysis methods on company data, the authors achieve a 98% recognition rate and 20% faster processing speed than existing approaches, aiming to boost agricultural development.

Read the original

@article{zhan-2021-influencing-factor-modeled-examination-internet,
  title   = {Influencing factor modeled examination on internet rural logistics talent innovation mechanism based on fuzzy comprehensive evaluation method},
  author  = {Hui Zhan and Xin Zhang and Haiwen Wang},
  journal = {PLoS ONE},
  year    = {2021},
  doi     = {10.1371/journal.pone.0246599},
  url     = {https://doi.org/10.1371/journal.pone.0246599}
}

TY  - JOUR
TI  - Influencing factor modeled examination on internet rural logistics talent innovation mechanism based on fuzzy comprehensive evaluation method
AU  - Hui Zhan
AU  - Xin Zhang
AU  - Haiwen Wang
JO  - PLoS ONE
PY  - 2021
DO  - 10.1371/journal.pone.0246599
UR  - https://doi.org/10.1371/journal.pone.0246599
ER  - 

Details

DOI

10.1371/journal.pone.0246599

Countries

China

Regions

Asia

Categories

food-systems, broadband-and-digital, entrepreneurship

Added

2026-04-28