基于5W2H和ESCRI法在企业安全管理中的应用分析

为了系统的分析事故发生的原因,本文在基础工业工程的方法之上,通过5W2H提问技术对G企业的安全事故从类型、发生地点、时间、责任人、造成损失方面进行分层提问、回答,弄清楚问题的现状。然后再运用ESCRI法对安全事故管理流程进行取消、简化、合并、重排、新增来改善和探讨改进的可能性。丰富并发展了安全管理的方法,并具取得了很好的效果。     

Evaluation of the treatment options for COVID-19 patients using generalized hesitant fuzzy- multi criteria decision making techniques

The breakout of the pandemic COVID-19 has affected numerous countries and territories worldwide. As COVID-19 specific medicines yet to be invented, at present the treatment is case specific, hence identification and evaluation of different prevalent treatment options based on various criteria and attributes are very important not only from the point of view of present pandemic but also for futuristic pandemic preparedness. The present study focuses on identifying, evaluation and ranking of treatment options using Multi Criteria Decision Making (MCDM). In this regard, the existing literature, doctors and scientist were interviewed to know the current treatment options in vogue and the scale of their importance with respect to the criteria. The criteria taken are side effect, regime cost, treatment duration, plasma stability, plasma turnover, time of suppression, ease of application, drug-drug interaction, compliance, fever, pneumonia, intensive care, organ failure, macrophage activation syndrome, hemophagocytic syndrome, pregnancy, kidney problem, age. This study extended Hesitant Fuzzy Set (HFS) to Generalized Hesitant Fuzzy Sets (GHFS). Generalized Hesitant Pentagonal Fuzzy Number (GHPFN) is developed. The properties of GHPFN are demonstrated. Two types of GHPFN has been described. The GHPFN (2nd type) along with MCDM tool Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) has been applied to rank the treatment options. The result of the study ranked ‘Hydroxychloroquine’ as the first alternative followed by, ‘Plasma Exchange’, ‘Tocilizumab’, ‘Remdesivir’ and ‘Favipravir’. To check the robustness and steadiness of the proposed methodology, comparative analysis and sensitivity analysis has been conducted.     

新冠疫情期间宁夏疾病预防控制中心防控物资内控管理与风险防范

新冠肺炎疫情防控期间,防控物资的保障、管理与使用是审计监督的重点。论文分析了宁夏疾控中心在防控物资管理中潜在的风险点和采取的内控措施,提出了风险防范建议,为中心的疫情防控工作提供有益的参考。     

N、Zn共掺杂纳米TiO_2光催化剂的制备及其光催化降解甲基橙应用研究

以TiOSO4和ZnSO.47H2O为原料,NH3.H2O为沉淀剂,采用超声波-微波化学共沉淀法制备具有可见光催化活性的N、Zn共掺杂纳米TiO2纳米粉体,并用XRD、UV-VIS对其进行了表征。在可见光下,考察了N、Zn共掺杂纳米TiO2光催化降解甲基橙的光催化性能。通过正交试验得出降解甲基橙的最佳工艺条件,并在最佳条件下做验证实验得出在太阳光下照射6h,光催化剂重复使用4次后降解率仍可到达74.2%,有超声分散、搅拌的条件下降解甲基橙降解率达到98.2%。     

后疫情时代银行数字化转型的机遇、挑战与策略

数字化转型已成为银行顺应时代发展和应对竞争压力的必然选择.后疫情时代,银行数字化转型面临着前所未有的政策与技术机遇,但仍然存在着经营环境变化、不良贷款风险攀升、信息识别风险突显和新业务合规风险加剧等诸多挑战.基于创新驱动发展战略理论与经济长远发展趋势,结合疫情后对我国西南地区银行业实地调研成果,对上述机遇和挑战进行了深...     

新冠疫情背景下山东省小微企业减税降费政策效应研究

新冠疫情的蔓延对国民经济造成了很大的影响,作为市场经济中重要组成部分的小微企业也为此遭遇重创,此时,其需要精确的财政政策进行疫情救援。在税务政策方面,减税降费政策属于积极财政政策的重要组成部分,应继续保持长期的减税降费趋势,同时,发挥税务部门的征管数据优势和纳税服务优势,积极助力小微企业增强生存能力,巩固未来发展的根蒂,使小微企业步入健康发展的快车道。     

Tax morale: Framing and fairness

Tax morale has been a focus of academics and policy makers for some time. The measurement of individuals’ tax morale is subjective, and various proxies have been employed in qualitative and quantitative research. The framing of these measures has been considered in some research with respect to equivalency or goal framing, but the underlying implication of emphasis framing in commonly used proxies has yet to be considered. Further, although fairness and financial literacy have been considered determinants of tax morale, no one has yet considered whether financial and tax literacy (FTL) has a moderating effect on fairness and tax morale.This research addresses these gaps in the literature. The findings suggest that questions and scenarios posed by academics and policy makers should consider positive, negative, and emphasis framing, as well as the moderating effect of the respondents’ FTL to measure individuals’ tax morale effectively. The findings also suggest that raising levels of FTL could have a double dividend: not only will improved FTL have a positive impact on tax morale, but it might be magnified through the impact of fairness. These findings hold only when morale is determined by negatively framed scenarios. In particular, the perceived fairness of the tax system enhances tax morale when FTL is high, whereas the perception of fairness has no effect on tax morale for respondents with lower levels of FTL.     

中国CO_2排放量与出口量关系实证分析

当前碳排放问题越来越受各国的重视,作为出口第一大国,中国出口产品多以碳排放较多的加工贸易产品为主。研究中国的碳排放量和出口的关系可以为中国可持续发展指明方向。通过对1986到2007年间出口隐含CO2的计算得出自从加入WTO中国出口隐含碳急速上涨,并且主要是由燃烧煤炭产生的。通过对这段时间中国CO2排放量与资本存量、消费量、出口量之间多元线性回归模型的实证分析得出:出口量每增加一个单位,CO2增加0.12个单位。     

The pandemic and SME supply chains: Learning from early experiences of SME suppliers in the U.S. defense industry

While the COVID-19 pandemic has been disrupting supply chains in an unprecedented fashion, one type of firms that has been particularly affected are small- and medium-sized enterprises (SMEs). We focus on these SMEs, specifically on SME suppliers to the U.S. Department of Defense (DoD), and investigate the impact that the pandemic has had on these suppliers, as well as the effectiveness of various government procurement efforts to alleviate the challenges. In doing so, we rely on survey data collected by the National Defense Industry Association (NDIA) during the early stages of the pandemic in March and April 2020 to assess initial government responses and SME supplier receptions. To derive more granular insight, we scrutinize the results across firm size, dependence on the DoD, whether the SME is a first-tier supplier or not, and industry. Through this investigation, we for instance find that the weakest suppliers are the very small SMEs (1–49 employees), and that most government measures were judged to not be that effective—at least in these early stages of the pandemic. Overall, our study leverages insight from one of the few large-scale surveys conducted on the impact of the pandemic on SME suppliers and their relationship with government agencies in the very early phases of the pandemic.     

Impact of epidemic outbreaks (COVID-19) on global supply chains: A case of trade between Turkey and China

COVID-19 has negative impacts on supply chain operations between countries. The novelty of the study is to evaluate the sectoral effects of COVID-19 on global supply chains in the example of Turkey and China, considering detailed parameters, thanks to the developed System Dynamics (SD) model. During COVID-19 spread, most of the countries decided long period of lockdowns which impacted the production and supply chains. This had also caused decrease in capacity utilizations and industrial productions in many countries which resulted with imbalance of maritime trade between countries that increased the freight costs. In this study, cause and effect relations of trade parameters, supply chain parameters, demographic data and logistics data on disruptions of global supply chains have been depicted for specifically Turkey and China since China is the biggest importer of Turkey. Due to this disruption, mainly exports from Turkey to China has been impacted in food, chemical and mining sectors. This study is helpful to plan in which sectors; the actions should be taken by the government bodies or managers. Based on findings of this study, new policies such as onshore activities should consider to overcome the logistics and supply chain disruptions in global supply chains. This study has been presented beneficial implications for the government, policymakers and academia.