School of Economics and Trade, JiLin Engineering Normal University, Changchun, Jilin, China.
College of Business, Jiaxing University, Jiaxing, Zhejiang, China.
PLoS One. 2021 Mar 11;16(3):e0246599. doi: 10.1371/journal.pone.0246599. eCollection 2021.
In recent years, China's economic development has advanced by leaps and bounds, but the development of China's rural logistics system is still at its primary stage. Some remote areas with inconvenient transportation are still in a state of serious lack or even blank, and due to the high cost of rural logistics delivery services, the rural logistics business of the enterprise also has a profit problem, which limits the development of rural logistics talent innovation to some extent. The purpose of this paper is to study a new influencing factor model of the Internet rural logistics talent innovation mechanism. This paper innovatively proposes countermeasures to improve the innovation of e-commerce practitioners in rural areas. Through research, the author finds that the innovation of rural e-commerce application talents in China is generally low. The key point of the solution lies in how to improve the level of innovation in rural e-commerce application talents. According to the status quo, identify the factors that hinder the innovation and improvement of rural e-commerce application talents. Combined with the great environment of the development of rural e-commerce industry in China, the paper proposes to improve the countermeasures for improving the innovation of rural e-commerce application talents. Improve the current situation of rural e-commerce application talents mediocrity and promote the innovation of rural e-commerce application talents. Fundamentally promote agricultural development and the building of a new socialist countryside. This paper adopts the literature research method based on fuzzy comprehensive evaluation method, system analysis method and the combination of questionnaire survey and interview. Through big data and information science methods for data processing, using a company's Internet rural talent data set to simulate, the results It shows that with the method of this paper, the recognition rate reaches 98%, the speed increases obviously, and it is 20% faster than others.
近年来，中国经济发展突飞猛进，但中国农村物流系统的发展仍处于初级阶段。一些交通不便的偏远地区仍处于严重短缺甚至空白状态，由于农村物流配送服务成本高，企业的农村物流业务也存在利润问题，这在一定程度上限制了农村物流人才创新的发展。本文旨在研究互联网农村物流人才创新机制的新影响因素模型。本文创新性地提出了提高农村电商从业者创新能力的对策。通过研究，作者发现中国农村电子商务应用人才的创新能力普遍较低。解决问题的关键在于如何提高农村电子商务应用人才的创新能力。根据现状，找出阻碍农村电子商务应用人才创新和提高的因素。结合中国农村电子商务产业发展的大环境，提出了提高农村电子商务应用人才创新能力的对策。改善农村电子商务应用人才平庸的现状，促进农村电子商务应用人才的创新。从根本上推动农业发展和社会主义新农村建设。本文采用基于模糊综合评价法、系统分析方法和问卷调查与访谈相结合的文献研究方法。通过大数据和信息科学方法进行数据处理，利用某公司的互联网农村人才数据集进行模拟，结果表明，采用本文的方法，识别率达到 98%，速度明显提高，比其他方法快 20%。
