scholarly journals Risk Analysis and Countermeasures of Small Catering Companies Under COVID-19

2021 ◽  
Vol 2 (1) ◽  
pp. 9-13
Author(s):  
Shao-Ru Cai
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Risk Prevention ◽  
Risk Awareness ◽  
Critical Situation ◽  
Countermeasures And Suggestions

The outbreak of COVID-19 in China at the beginning of 2020 has hit the catering companies hard. Many catering companies are facing the critical situation of large losses or even close down directly. Compared with large and medium-sized catering companies, the risk awareness and anti-risk ability of small catering companies are weaker. Their risk management is at a lower level and they do not pay much attention to risk prevention. By identifying and analyzing the risks faced by the small catering companies, this paper puts forward countermeasures and suggestions with the hope to provide some reference for the risk management of the small catering companies and to strengthen its risk prevention ability.

Design Thinking as a Tool for the Analysis of Project Risks

2019 ◽  
Vol 16 (6) ◽  
pp. 60-77
Author(s):  
E. V. Vasilieva ◽  
T. V. Gaibova
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Design Thinking ◽  
Management Tools ◽  
Project Risk ◽  
Team Members ◽  
Investment Projects ◽  
Risk Management Process ◽  
Project Objectives ◽  
Project Risk Analysis

This paper describes the method of project risk analysis based on design thinking and explores the possibility of its application for industrial investment projects. Traditional and suggested approaches to project risk management have been compared. Several risk analysis artifacts have been added to the standard list of artifacts. An iterative procedure for the formation of risk analysis artifacts has been developed, with the purpose of integrating the risk management process into strategic and prompt decision-making during project management. A list of tools at each stage of design thinking for risk management within the framework of real investment projects has been proposed. The suggested technology helps to determine project objectives and content and adapt them in regards to possible; as well as to implement measures aimed at reducing these risks, to increase productivity of the existing risk assessment and risk management tools, to organize effective cooperation between project team members, and to promote accumulation of knowledge about the project during its development and implementation.The authors declare no conflict of interest.

scholarly journals Research for Risk Management of Construction Projects in Taiwan

2021 ◽  
Vol 13 (4) ◽  
pp. 2034
Author(s):  
Chien-Liang Lin ◽  
Bey-Kun Chen
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Structural Equation ◽  
Construction Projects ◽  
Construction Project ◽  
Equation Modeling ◽  
Analysis Model ◽  
Sustainable Operation ◽  
Management Procedure ◽  
Risk Managers

Risks inevitably exist in all stages of a project. In a construction project, which is highly dynamic and complex, risk factors affect the expected achievement rates of the three main performance goals, namely schedule, cost, and quality. A comprehensive risk management procedure requires three crucial steps: risk confirmation, analysis, and treatment. Risk analysis is the core of risk management. Through structural equation modeling, this study developed a risk analysis model that takes a different perspective and considered the occurrence probability of risk events and the extent to which these events affect a project. The contractor dimension was discovered to exert the strongest influence on an overall project, followed by the subcontractor and design dimensions. This paper proposes a novel construction project risk analysis model, which considers the entire project. The proposed model can be used as a reference for risk managers to make decisions about project risks, so as to achieve the ultimate goal of saving resources and the sustainable operation of the construction project.

Risk Management in Elections: A Guide for Electoral Management Bodies

2021 ◽  
Author(s):  
Amy Vincent ◽  
Sead Alihodzic ◽  
Stephen Gale
Keyword(s):  
Risk Management ◽  
Cost Effectiveness ◽  
Incomplete Information ◽  
Implementation Process ◽  
Risk Awareness ◽  
Management Framework ◽  
Risk Management Framework ◽  
Electoral Cycle ◽  
Management Processes ◽  
Electoral Management Bodies

When electoral risks are not understood and addressed, they can undermine the credibility of the process and the results it yields. Electoral management bodies (EMBs) encounter numerous risks across all phases of the electoral cycle. They operate in environments that are increasingly complex and volatile and where factors such as technology, demographics, insecurity, inaccurate or incomplete information and natural calamities, create increasing uncertainty. The experiences of EMBs show that when formal risk management processes are successfully implemented, the benefits are profound. Greater risk awareness helps organizations to focus their resources on where they are most needed, thus achieving cost-effectiveness. Over the last decade it has been observed that EMBs are increasingly moving from informal to formal risk management processes. The purpose of this Guide is to lay out a set of practical steps for EMBs on how to establish or advance their risk management framework. The Guide’s chapters reflect the breadth of key considerations in the implementation process and offer basic resources to assist in the process.

Analysis of risk concept for technical systems using digital twins

2020 ◽  
pp. 99-113
Author(s):  
Анатолий Михайлович Лепихин ◽  
Николай Андреевич Махутов ◽  
Юрий Иванович Шокин ◽  
Андрей Васильевич Юрченко
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Risk Model ◽  
Computer Modelling ◽  
Product Lifecycle Management ◽  
Operating Conditions ◽  
Digital Twins ◽  
Real Objects ◽  
Technical Systems ◽  
Active Research

Рассмотрены основные методологические аспекты анализа рисков технических систем с использованием цифровых двойников. Сформулирована концепция рисканализа и предложена базовая модель для ее реализации. Рассмотрены информационные аспекты анализа неопределенностей модели риска. Показано, что технологии цифровых двойников позволяют эффективно сочетать результаты компьютерного моделирования с данными мониторинга реальных объектов, обеспечивая более глубокий анализ объектов, с учетом множества вариантов конструкции, технологий и условий эксплуатации Development of technology and technical systems significantly increases in the volume of information. Traditional methods for designing, manufacturing and operating of technical systems do not allow processing such volumes of information. In this regard, the modern strategy for creating technical systems is based on the use of digital twins. Solving the problems of risk analysis and risk management for technical systems at all stages of the life cycle appears to be one of the promising areas for application of the digital twins technology. Despite of active research, using digital twins in risk analysis currently do not have appropriate methodological justifications and technical solutions in a number of key aspects. In particular, effective reductions of the order of risk models and quantifying uncertainty factors of various types have not been solved. The concept of the risk-informed decision making in product lifecycle management has not been implemented. In fact, there are very few publications on the risk analysis and risk management methodology using digital twins. The article discusses the main methodological aspects of risk analysis of technical systems using digital twins. The concept of risk analysis is formulated and a basic model for its implementation is proposed. The informational aspects of the analysis of uncertainties of the risk model are considered. It is shown that digital twin technologies allow effective combination of the results of computer modelling with the data monitoring of real objects, providing a deeper analysis of objects, taking into account a variety of design options, technologies and operating conditions.

Disaster Risk Management Plans in Colombia: General Guidelines for Their Development

2021 ◽  
pp. 1-6
Author(s):  
Alejandra María Díaz-Tamayo
Keyword(s):  
Risk Management ◽  
Human Life ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Risk Awareness ◽  
Normal Functioning ◽  
Management Plans ◽  
The Face ◽  
Changes In Risk ◽  
Evidence Based Guidelines

Abstract Over the years, Colombia has faced disaster situations that have generated changes in risk management models. These situations have brought suffering, destruction, and loss of human life, but have also served as lessons to develop procedures aimed at minimizing the risks caused by the presence of hazards. The objective of this article is to provide general evidence-based guidelines for formulating disaster risk management plans for each of the 3 action processes: risk awareness, risk reduction, and disaster management in Colombia. These plans can be achieved by preparing responses to different emergencies, which arise from threats in each of the possible scenarios, and are adverse events that alter the normal functioning of entities and communities. The implementation of these prevention strategies will allow communities to respond effectively to emergencies and recover rapidly in the face of adversity.

scholarly journals Hydrological Layered Dialysis Research on Supply Chain Financial Risk Prediction under Big Data Scenario

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Jia Liu ◽  
Shiyong Li ◽  
Xiaoxia Zhu
Keyword(s):  
Risk Management ◽  
Big Data ◽  
Supply Chain ◽  
Risk Analysis ◽  
Risk Prediction ◽  
Financial Institutions ◽  
Surface Runoff ◽  
Financial Risk ◽  
Supply Chain Finance ◽  
Runoff Model

In recent years, internet development provides new channels and opportunities for small- and middle-sized enterprises’ (SMEs) financing. Supply chain finance is a hot topic in theoretical and practical circles. Financial institutions transform materialized capital flows into online data under big data scenario, which provides networked, precise, and computerized financial services for SMEs in the supply chain. By drawing on the risk management theory in economics and the distributed hydrological model in hydrology, this paper presents a supply chain financial risk prediction method under big data. First, we build a “hydrological database” used for the risk analysis of supply chain financing under big data. Second, we construct the risk identification models of “water circle model,” “surface runoff model,” and “underground runoff model” and carry on the risk prediction from the overall level (water circle). Finally, we launch the supply chain financial risk analysis from breadth level (surface runoff) and depth level (underground runoff); moreover, we integrate the analysis results and make financial decisions. The results can enrich the research on risk management of supply chain finance and provide feasible and effective risk prediction methods and suggestions for financial institutions.

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