南京市农民工就业迁移轨迹研究——基于“时间-空间-社会”三维视角的分析

职业流动及其相伴的就业迁移是个体社会经济地位获得或改变的重要方式之一,同时也是一个时间、空间和社会多维互动的过程,从"时间-空间-社会"多维视角研究农民工的就业迁移有助于更系统性地探寻其城市生活轨迹和市民化进程。本文借鉴个体行为轨迹分析的相关研究,将农民工就业迁移的空间、时间和社会三要素相结合,构建了"时间-空间-社会"路径分析方法;并进一步以2015年南京市主城农民工问卷调查所获取的回溯数据为基础,分维度探讨了农民工的就业迁移轨迹。结果显示,南京市农民工就业迁移的社会流动过程具备若干生命历程特征和空间依赖特征。这一结论对我国农村劳动力转移和市民化进程中的相关政策制定有着积极意义。     

流动就业人员工伤保险现状与发展研究

流动就业人员工伤保险新模式要求在政府统一的流动就业人员社会保障体系下,实行缴费资金先由省市政府统一管理,再逐步发展为全国统一的管理体系;实行单位缴费,个人不承担.为此,在重点调查研究我国五大城市工伤保险现状的基础上,提出合理的工伤保险缴费和待遇新模式.     

浅谈纺织行业操作工素质和职业技能的培养

提高职工的素质和职业技能水平对提高产品质量和增强产品的市场竞争力、改善环境和企业文化建设都有着十分重要的意义。现代纺织的发展和纺织操作的特点决定了纺织行业职工素质和职业技能的培养应以提高专业知识及操作技术技能、人际关系及协作能力、综合知识和创新能力为方向,并采取有效的方法和途径。     

JIT采购模式下两个物流优化模型的讨论

文章讨论了在JIT采购模式下的后JIT时代,对由供需双方组成的多源点单汇点,且需求随机的物流网络在设计和运行阶段所面对问题的特性,并依据实践中的作业特点和固定划分策略,针对这两个决策层面分别设计了战术层和作业层优化模型,最后给出了算法框架。     

基于胜任力模型的建筑产业工人绩效评价研究

科学的绩效管理方法将促进建筑产业工人职业化转型升级.利用模糊统计法与隶属度分析法构建了建筑产业工人胜任力模型,进行基于二元对称变量的共现聚类分析,在胜任力模型基础上提出了包含专业知识与技能、职业素质、团队特征、发展能力、职业态度、安全、质量成本、进度等八维度的建筑产业工人绩效评价指标体系.并结合建筑产业化政策导向确立了...     

Exploring social media usage in improving public perception on workplace violence against healthcare workers

Workplace violence against healthcare workers has been a major social problem in many countries. A misunderstanding between patients and physicians is the primary cause of violence . The recent rise of social media offered a new communication channel between the government and the public. This study aims to explore and examine the use of social media to improve public perception about the medical workplace violence by considering a recently issued policy in China. We collected 12,250 posts before, during and after the implementation of the policy from Weibo, which is similar to Twitter. Sentiment classification and topic clustering methods were used to analyze the data. One-way ANOVA was applied to assess the changes of public sentiments over time. Results showed that the proportion of posts with negative sentiment statistically significantly decreased after the release of the policy, indicating the effectiveness of social media in improving public perception about the medical workplace violence, to a large extent. Topic clustering results regarding the policy showed that most people supported the policy. However, some believe that punishment measures contained in the policy need to be strengthened and that more attention should be paid to the hospitals and medical staffs, as well as how to effectively protect the interests of patients. Based on these findings, we suggested government to effectively and scientifically use social media to address medical workplace violence from the perspective of the public and further consider its causes in terms of both patients and medical staffs, and building an expert witness system seems to be helpful. Measures for guaranteeing the safety of medical staffs should be built by comprehensively evaluating the potential risk. These results can help governments increase the engagement of their citizens.     

数据挖掘技术在改善CPS指标中的应用

控制性能标准指标(CPS)是评估区域电网调频能力的重要指标。通过分析电力系统中的因果关系,从理论上对造成CPS指标越限的根本原因进行了分析。通过尝试使用数据挖掘工具,从自动发电控制(AGC)机组投运情况方面进行分析,为改善CPS指标提出建议。     

Migration stress,risky Internet uses,and scam victimization: An empirical study among Chinese migrant workers

In China, Internet scams against migrant workers have grown increasingly prevalent. This study uses routine activity theory and uses and gratifications theory to investigate how migration stress affects susceptibility to risky internet use and scam-related outcomes among Chinese migrant workers. The present study utilized a survey of 543 migrant workers. Findings revealed that migration stress was a significant predictor of engaging in risky online leisure activities, risky online shopping, privacy disclosure, and a lack of protective measures. The failure to adopt protective behaviors and engagement in risky online leisure activities, online loaning, and privacy disclosure were also found to increase migrant workers’ exposure to scam information and victimization. Study results sheds light on the impact of migration stress on the online behavior of migrant workers in China and provides insights into protecting them from Internet scams. Our findings may inform the development of interventions aimed at preventing online scams against migrant workers and promoting safer Internet use.