高新技术企业境外上市风险评价指标体系研究

为了能更加明确系统地识别我国高新技术企业境外上市过程中遇到的各种风险,进而采取有效的风险规避措施,在研究了大量案例和专家座谈的基础上,结合相关文献资料,建立了高新技术企业境外上市风险评价指标体系,为进一步进行风险评价提供参考.     

基于贝叶斯方法的包装企业供应商评价与选择模型

目的建立基于贝叶斯方法的供应商选择模型。方法建立一个供应商选择动态过程,将供应商的历史信息与供应商提供的自身信息联系起来;利用贝叶斯方法对供应商达成采购企业目标的能力进行评判和修订,并进一步评估供应商风险。结果贝叶斯方法为包装企业评价和选择供应商提供了规避风险的有效手段,可以提高包装企业的竞争力。结论基于风险视角下的供应商选择与评价模型,是保证包装企业在控制供应商风险的前提下对供应商进行选择评价的重要工具。     

跨国投资的国家风险决策评价系统

境外投资项目的国家风险评价系统，对指导企业关于境外投资项目的可行性研究和主管部门的审核，都有着十分重要的现实意义。文章运用３个层次涉及３４个因素的国家风险评价系统，对国家风险的测度和量化作了有益的研究，以专家对各项因素的打分代入模型，所得的结果与国际上几家著名机构所得的结果基本一致。     

观点

姚刚:适当放宽内地企业境外上市标准日前,中国证券监督管理委员会副主席姚刚表示,目前的H股上市法规都是10年前制定的,10年来从未进行过修改,上市条件比较高,审核流程也比较长,今年中国证监会将全面修订境外上市的法规,要适当放宽准入标准,简化审核程序,降低门槛,为中小企业、民营企业到香港等境外市场直接上市创造条件。     

制药企业上市药品风险管理体系初探

本文从分析上市药品风险的组成,特征出发,讨论了制药企业上市药品存在风险的一些关键方面,继而提出制药企业在运营过程中,运作风险管理体系和模式,从而有效控制上市药品风险。制药企业是药品风险管理中责任的主承担者,应该从加强风险意识出发,将被动的接受风险转化为主动的预防和控制风险,并积极充分的发挥风险管理体系在控制、预防风险中的作用。     

"北人"携五大优势书写世纪辉煌

北人印刷机械股份有限公司是中国最大的胶印机制造厂商,也是中国工业500强之一.1993年完成股份制改造,逐步建立了现代企业制度,是国内首批在境外上市的九家H股企业之一,1994年在上海证券交易所A股上市.     

我国铝行业上市企业研究

正近几年,我国铝工业积极推进供给侧结构性改革,推进"三去一降一补"工作,同时积极培育新市场、引导消费、扩大应用。上市企业在这一过程中积极响应国家政策,坚定不遗地"去产能",加强新产品的研发和应用推广,为行业健康发展作出了积极贡献。本文对我国25家上市铝企进行分析,以帮助上市企业清晰了解自身在     

利用FMEA思想分析低成本区域采购的潜在风险

介绍了利用潜在失效模式分析(FailureModeEffectAnalysis,FMEA)方法对高成本区域企业从低成本区域供应商采购零部件的潜在风险进行列举,认定潜在风险的分析过程、方法及评价过程和方法,以便控制低成本区域采购的风险或采取相应的风险应对措施。     

对我国钽铌企业积极分享境外资源的分析

介绍了国外钽铌原料供应种类和特征,分析了我国钽铌资源的特点及近几年来供需状况,评述了我国企业积极开发境外钽铌资源的意义、方式及风险.指出在当前环境下,由于发达国家加强了对发展中国家资源的控制力度,加大了我国钽铌企业开发境外矿产资源的难度.尽管这样我国钽铌企业也应该积极开发境外资源,建立稳定的原料供应基地,赢得更大的市场与发展空间,同时还可获取资源开发的高额利润.这是企业可持续发展的必由之举.     

企业技术创新风险因素分析方法的应用

针对目前企业技术创新风险因素分析方法存在的缺陷,在详细分析企业技术创新过程中存在的各种风险因素的基础上,运用层次分析法构建企业技术创新风险评价指标体系,提出企业技术创新风险因素分析灰色综合评价模型.结合实例分析各因素对技术创新的影响程度,为企业技术创新决策和采取风险控制措施提供依据.     

Occupational and lifestyle risk factors in a wellness programme associated with low back injuries in a Midwest university

Employers need a clear understanding of the risk factors associated with low back (LB) injury for future prevention in the workplace. A data mining approach was used to analyse data-sets (Workers' Compensation claims data for employees participating in a health and wellness programme at a Midwestern university) in a retrospective study to summarise the risk factors associated with LB injury. Eight risk factors (age, cause of injury, night shift, fatigue, emotional health, stress level, physical and emotional impairment) are associated with LB injury in the workplace. Age was an effect modifier: lifting, twisting, bending (LTB) and emotional risk factors were associated for employees younger than 40 years old, whereas LTB, slips, trips, falls, and physical risk factors for employees 40 and older. Future considerations discussed not only engineering solutions, but the psychological and lifestyle risk factors associated with LB injury and the need for development of preventative programmes.     

Lifecycle risk assessment of a technological system using dynamic Bayesian networks

Investigations of technological systems accidents reveal that technical, human, organizational, as well as environmental factors influence the occurrence of accidents. Despite these facts, most traditional risk assessment techniques focus on technical aspects of systems and have some limitations of incorporating efficient links between risk models and human and organizational factors. This paper presents a method for risk analysis of technological systems. Application of the presented framework makes it possible to analyze the influence of technical, human, organizational, and environmental risk factors on system safety. It encompasses system lifecycle from design to operational phase to give a comprehensive picture of system risks. The developed framework comprises the following main steps: (1) development of a conceptual risk analysis framework, (2) identifying risk influencing factors in different levels of technical, human, organizational, and environmental factors providing the possibility of analyzing interactions in a multi‐level system, (3) modeling system risk using dynamic Bayesian network (DBN), (4) assignment of probabilities and risk quantification in node probability tables (NPTs) based on industry records and experts extracted knowledge, (5) implementation of the model for wind turbines risk analysis combining use of V‐model, risk factors, and DBN in order to analyze the risk, and (6) analyzing different scenarios and the interactions in different levels. Finally, the various steps of the framework, the research objective fulfillment, and case study results are presented and discussed.     

Analysis of driver casualty risk for different work zone types

Using driver casualty data from the Fatality Analysis Report System, this study examines driver casualty risk and investigates the risk contributing factors in the construction, maintenance and utility work zones. The multiple t-tests results show that the driver casualty risk is statistically different depending on the work zone type. Moreover, construction work zones have the largest driver casualty risk, followed by maintenance and utility work zones. Three separate logistic regression models are developed to predict driver casualty risk for the three work zone types because of their unique features. Finally, the effects of risk factors on driver casualty risk for each work zone type are examined and compared. For all three work zone types, five significant risk factors including road alignment, truck involvement, most harmful event, vehicle age and notification time are associated with increased driver casualty risk while traffic control devices and restraint use are associated with reduced driver casualty risk. However, one finding is that three risk factors (light condition, gender and day of week) exhibit opposing effects on the driver casualty risk in different types of work zones. This may largely be due to different work zone features and driver behavior in different types of work zones.     

Improved FMEA based on IVF and fuzzy VIKOR method: A case study of workpiece box system of CNC gear milling machine

Failure mode and effect analysis (FMEA) is a tool used to define, identify, and prevent known or unknown potential risks. An improved FMEA based on interval triangular fuzzy numbers (IVF) and fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method is proposed in this study to solve problems of expression and processing of uncertain information, weights of risk factors, and ranking of failure modes in traditional FMEA. Linguistic variables are used to evaluate failure modes level and relative importance of risk factors and are expressed via interval-valued triangular fuzzy number. Determining the subjective weights of risk factors using fuzzy AHP, calculating the objective weights of risk factors using the extended VIKOR method, and obtaining the comprehensive weights of risk factors via ICWGT are proposed for solving the weight problem of risk factors. Finally, the fuzzy VIKOR method is used to rank risk priority of failure modes. The proposed method is used to evaluate workpiece box system of CNC gear milling machine and the results are compared with the findings of other methods to verify effectiveness and rationality of the proposed method.     

Multistage risk assessment of direct delivery business from local oil refineries in Sinopec Group based on normal cloud model

This paper studies the risk assessment problem of the direct delivery business from local oil refineries in Sinopec Group. A total of 23 risk factors associated with four segments of the direct delivery business are first identified. Through explaining the respective characteristics, the connotation of each risk factor is analysed in depth. Next, on the basis of the severity and possibility of each risk factor, a multistage risk assessment method for normal cloud model rooted in the extended TOPSIS approach is developed, and then applied to a real-world case. From the investigation, the weaknesses of the present risk assessment process are addressed from various aspects, including the risk factors, segments, and alternatives. Moreover, considering the possible correlation among risk factors, the proposed method is further extended by using the approach of Choquet integral. Additional discussions and recommendations are provided for improving the risk management process of the direct delivery business from local oil refineries.     

Application of classification algorithms for analysis of road safety risk factor dependencies

Transportation continues to be an integral part of modern life, and the importance of road traffic safety cannot be overstated. Consequently, recent road traffic safety studies have focused on analysis of risk factors that impact fatality and injury level (severity) of traffic accidents. While some of the risk factors, such as drug use and drinking, are widely known to affect severity, an accurate modeling of their influences is still an open research topic. Furthermore, there are innumerable risk factors that are waiting to be discovered or analyzed. A promising approach is to investigate historical traffic accident data that have been collected in the past decades. This study inspects traffic accident reports that have been accumulated by the California Highway Patrol (CHP) since 1973 for which each accident report contains around 100 data fields. Among them, we investigate 25 fields between 2004 and 2010 that are most relevant to car accidents. Using two classification methods, the Naive Bayes classifier and the decision tree classifier, the relative importance of the data fields, i.e., risk factors, is revealed with respect to the resulting severity level. Performances of the classifiers are compared to each other and a binary logistic regression model is used as the basis for the comparisons. Some of the high-ranking risk factors are found to be strongly dependent on each other, and their incremental gains on estimating or modeling severity level are evaluated quantitatively. The analysis shows that only a handful of the risk factors in the data dominate the severity level and that dependency among the top risk factors is an imperative trait to consider for an accurate analysis.     

Safety rounds in public environments: experience of a new tool for prevention of accidental injuries

Accident prevention concerns everyone in society. A large number of organisations have the responsibility and the means to fight the increasing injury rate. Many preventive measures require changes and improvements to the physical environment. In Sollentuna, Sweden, the work concentrated on making inventories of the pedestrian physical environment and pressuring those responsible to take measures to correct deficiencies discovered through the municipal "safety round." The inventory of injury risk factors was documented in a report along with information about the type of risk-object, its geographical location, and those responsible for remedial measures. The environmental deficiencies were marked on a map and most of them were photographed. With the help of expert know-how and local knowledge, 88 risk factors were identified in the area of investigation, which covered slightly over 1 square kilometer. With the report as a basis, those responsible for countermeasures were contacted by letter and asked to take measures to eliminate the risk factors. The responsibility for eliminating these risk factors was divided among various authorities, organizations, and private persons. Despite a lack of legal support for the demand for countermeasures most of those responsible proved to have a positive attitude towards eliminating the accident risk factors that had been identified during the safety rounds. The method worked satisfactorily and the risk factors were eliminated after one or two contacts in almost all cases.     

ERP项目实施中风险分担影响因素的实证研究

通过文献分析、现场访谈等途径归结出影响ERP项目风险分担的相关因素,建立了风险分担影响因素的理论模型,并通过问卷调查对其进行了相关分析,得出了关键影响因素,包括风险控制能力、风险预期损失、承担风险意愿、风险损失承担能力和风险控制成本。     

Integrated Risk of Progress-Based Costs and Schedule Delays in Construction Projects

This article aims to explore the impact of the integration of risk factors into delayed milestones for construction projects. A simulation model was developed to determine the impact of schedule variability on cost estimation. To generate random scenarios a Monte Carlo Simulation (MCS) technique was applied. The developed model computes the cost impact of delayed milestone in the expected budget. Using a risk integration approach revealed the critical time frame that may lead to a budget deficit for a project. As a result, a number of cost-sensitive risk factors and schedule delays were identified for the critical time period where the risk of budget deficit increases. The method of integration proposed in this article highlights the priority of risk factors and schedule delays for construction contracts involving Payments at Event Occurrences (PEO). Consequently, the developed method can be useful for practitioners in anticipation of potential increase of costs, hence, prevention of failure due to budget deficit.     

Barrier and operational risk analysis of hydrocarbon releases (BORA-Release). Part I. Method description

Investigations of major accidents show that technical, human, operational, as well as organisational factors influence the accident sequences. In spite of these facts, quantitative risk analyses of offshore oil and gas production platforms have focused on technical safety systems. This paper presents a method (called BORA-Release) for qualitative and quantitative risk analysis of the platform specific hydrocarbon release frequency. By using BORA-Release it is possible to analyse the effect of safety barriers introduced to prevent hydrocarbon releases, and how platform specific conditions of technical, human, operational, and organisational risk influencing factors influence the barrier performance. BORA-Release comprises the following main steps: (1) development of a basic risk model including release scenarios, (2) modelling the performance of safety barriers, (3) assignment of industry average probabilities/frequencies and risk quantification based on these probabilities/frequencies, (4) development of risk influence diagrams, (5) scoring of risk influencing factors, (6) weighting of risk influencing factors, (7) adjustment of industry average probabilities/frequencies, and (8) recalculation of the risk in order to determine the platform specific risk related to hydrocarbon release. The various steps in BORA-Release are presented and discussed. Part II of the paper presents results from a case study where BORA-Release is applied.