scholarly journals Identifying Significant Risks and Analyzing Risk Relationship for Construction PPP Projects in China Using Integrated FISM-MICMAC Approach

2019 ◽  
Vol 11 (19) ◽  
pp. 5206 ◽  
Author(s):  
Xiaoyan Jiang ◽  
Kun Lu ◽  
Bo Xia ◽  
Yong Liu ◽  
Caiyun Cui
Keyword(s):  
Assessment Tool ◽  
Management Strategies ◽  
Construction Engineering ◽  
Public Facilities ◽  
Sufficient Detail ◽  
Risk Management Strategies ◽  
The Relationship ◽  
Procedural Method ◽  
Cross Reference

To meet the growing demand for public facilities and services, many developing countries, including China, have adopted the concept of public–private partnership (PPP). However, there are many risks in PPP projects. Furthermore, these risks affect each other, which may lead to project failure. However, the existing research on the PPP risk relationship has not gone into sufficient detail. Therefore, in order to fill this literature gap, this study proposes a procedural method to analyze the correlation between PPP risks. Firstly, this study, identifies the risks of construction PPP projects in China by combining the literature review with a case study and interviews. Then, fuzzy interpretative structural modeling (FISM) is used to reflect the relationships between these risks and reveal the failure mechanisms of PPP projects. In addition, based on matrix impact cross-reference multiplication applied to a classification (MICMAC) analysis, the risk is divided into four clusters, according to the driving and dependence power, to show the relationship level of the risk. Finally, the paper compares and discusses the research results with other studies and puts forward some suggestions on PPP risks. The FISM-MICMAC method adopted in this study considers the fuzzy of the PPP risk relationship and improves upon previous studies. In addition, the method of FISM-MICMAC can provide a new risk assessment tool for risk management strategies in the field of construction engineering and management.

scholarly journals An interactive web-GIS tool for risk analysis: a case study in the Fella River basin, Italy

2016 ◽  
Vol 16 (1) ◽  
pp. 85-101 ◽  
Author(s):  
Z. C. Aye ◽  
M. Jaboyedoff ◽  
M. H. Derron ◽  
C. J. van Westen ◽  
H. Y. Hussin ◽  
...  
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Management Strategies ◽  
Web Gis ◽  
Data Set ◽  
Prototype Development ◽  
Risk Management Strategies ◽  
Northeastern Italy ◽  
Study Sites

Abstract. This paper presents a prototype of an interactive web-GIS tool for risk analysis of natural hazards, in particular for floods and landslides, based on open-source geospatial software and technologies. The aim of the presented tool is to assist the experts (risk managers) in analysing the impacts and consequences of a certain hazard event in a considered region, providing an essential input to the decision-making process in the selection of risk management strategies by responsible authorities and decision makers. This tool is based on the Boundless (OpenGeo Suite) framework and its client-side environment for prototype development, and it is one of the main modules of a web-based collaborative decision support platform in risk management. Within this platform, the users can import necessary maps and information to analyse areas at risk. Based on provided information and parameters, loss scenarios (amount of damages and number of fatalities) of a hazard event are generated on the fly and visualized interactively within the web-GIS interface of the platform. The annualized risk is calculated based on the combination of resultant loss scenarios with different return periods of the hazard event. The application of this developed prototype is demonstrated using a regional data set from one of the case study sites, Fella River of northeastern Italy, of the Marie Curie ITN CHANGES project.

scholarly journals Challenges to social capacity building in flood-affected areas of southern Poland

2013 ◽  
Vol 13 (10) ◽  
pp. 2555-2566 ◽  
Author(s):  
J. Działek ◽  
W. Biernacki ◽  
A. Bokwa
Keyword(s):  
World War Ii ◽  
Natural Hazards ◽  
Management Strategies ◽  
Five Dimensions ◽  
Southern Poland ◽  
Bridging Social Capital ◽  
Transmission Of Knowledge ◽  
Risk Management Strategies ◽  
Group Interviews

Abstract. Various aspects of beliefs, behaviour and expectations of at-risk populations were analysed in four case study localities in southern Poland that were affected by flooding in 1997 and 2001. They represent localities of different sizes and are characterised by different paths of historical development. Two of them are deep-rooted communities with dense, strong family and neighbourhood ties, while the other two experienced an almost total replacement of their population due to decisions taken after World War II and still suffer from less developed social networks. Historical events also resulted in the disruption of local memories of flooding and transmission of knowledge about natural hazards. A questionnaire survey was conducted in late autumn 2006, followed by structured telephone interviews and focus group interviews in spring 2008. The results of the survey and interviews were analysed with reference to the social capacity framework and its five dimensions: knowledge, motivational, network, economic and governance capacities. Network capacities, that is resources of bonding and bridging social capital, were considered a key notion when analysing and interpreting the results. The differences in the local resources and abilities available in each of the localities to prepare a response to natural hazards were revealed. Consequently, challenges faced in the process of building and strengthening social capacity were identified as well as ways to address these challenges. It was concluded that there are general trends and tendencies that need to be considered in risk management strategies, however the different starting points of each case study community calls for different means and approaches, as well as producing somewhat different expected outcomes.

Identifying risks and mitigation strategies in private sector participation (PSP) in power generation projects in Ghana

2017 ◽  
Vol 15 (2) ◽  
pp. 153-169 ◽  
Author(s):  
Collins Ameyaw ◽  
Hans Wilhelm Alfen
Keyword(s):  
Power Generation ◽  
Private Sector ◽  
Management Strategies ◽  
Case Study Research ◽  
Mitigation Strategies ◽  
Content Type ◽  
Private Sector Participation ◽  
Risk Management Strategies ◽  
Private Investors

Purpose The purpose of this paper is to identify the risks associated with private sector participation (PSP) in power generation (PG) projects, how they were allocated and the strategies used to mitigate their likely adverse effects. Design/methodology/approach The paper adopts case study research method and cross-case analyses to unearth the key risks and the contractual instruments used to manage them. Findings The paper identified 30 risk factors associated with four major private sector PG projects in Ghana. The allocation and mitigation strategies of these risks are also reported. Originality/value This is the first study to create a risk register of PSP PG projects. Private investors and government have been provided with a comprehensive list of risks associated with PG infrastructure. Would-be investors have also been armed with some potential risk management strategies for proper project structuring.

scholarly journals FINANCIAL RISK MANAGEMENT STRATEGIES AND THE GROWTH OF MICROFINANCE SECTOR IN KENYA

2017 ◽  
Vol 2 (1) ◽  
pp. 23-53
Author(s):  
Dr. James Rurigi Njuguna ◽  
Prof. Roselyn Gakure ◽  
Dr. Anthony Gichuhi Waititu ◽  
Dr. Paul Katuse
Keyword(s):  
Risk Management ◽  
Financial Risk ◽  
Management Practices ◽  
Management Strategies ◽  
Credit Risk Management ◽  
Financial Risk Management ◽  
Risk Management Strategies ◽  
External Sources ◽  
Internal Sources ◽  
The Relationship

Purpose: The purpose of this study was to investigate how financial risk management strategies lead to growth of MFI sector in Kenya.Methodology: The study adopted a correlation survey research design. The population of this study was fifty seven (57) MFIs. The sampling frame was the list of MFIs provided in the AMFI website www.amfikenya.com. A sample of thirteen (17) MFIs was selected using the random sampling approach. A questionnaire and an interview schedule were the main data collection tools. Qualitative data was analyzed using content analysis whereas the quantitative data was analysed using Statistical Package for Social Sciences (SPSS) where descriptive and regression analysis were conducted to determine the relationship between enterprise risk management strategies and growth of MFIs.Findings: The findings indicated that MFIs had effective financial risk management strategies such as effective credit risk management practices, liquidity risk management practices, interest risk management practices and price risk management practices. In particular, MFIs took into consideration the conditions, characters, capacity, collateral and capital of borrowers. Strict debt collection practices were widely adopted by MFIs. In addition, the concept of Know Your Customer (KYC) policy, seem to have been adopted by MFIs. The relationship between financial risk management strategies and growth was positive and significant. It also shown that sources of funds for MFIs include external sources and internal sources and the most frequently used source of funds are bank loans. The use of banks loans may present various risk exposures to MFIs, the most significant being interest rate risk. However, the ability of MFIs to source funds from various sources indicates that MFIs can apply the pecking order by first exploiting internal sources of funds since they present a lower financial risks and then move on to external sources. However, despite the financial risk exposure accompanied by leverage from external sources, MFIs may also benefit as they may experience higher growth driven by the leverage. It was also found that MFIs had put in place a number of good practices that had emerged to promote responsible and inclusive lending. These include loan size limits, standardized (simple) loan terms, zero tolerance on delinquency, group-based lending. This finding implies that MFIs have put in place effective credit risk management policies which are part of an overall financial risk management strategy. The existence of effective financial risk management practices may have influenced the growth of MFIsUnique contribution to theory, practice and policy: The study recommends that the MFIs to continue practicing effective financial management practices as this would improve the growth of MFIs.

scholarly journals A Hybrid Fuzzy System Dynamics Approach for Risk Analysis of AUV Operations

2020 ◽  
Vol 24 (1) ◽  
pp. 26-39
Author(s):  
Tzu Yang Loh ◽  
Mario P. Brito ◽  
Neil Bose ◽  
Jingjing Xu ◽  
Natalia Nikolova ◽  
...  
Keyword(s):  
Risk Analysis ◽  
System Dynamics ◽  
Fuzzy System ◽  
Autonomous Underwater Vehicles ◽  
Management Strategies ◽  
Operating Experience ◽  
Rapid Expansion ◽  
Risk Management Strategies ◽  
The Impact

The maturing of autonomous technology has fostered a rapid expansion in the use of Autonomous Underwater Vehicles (AUVs). To prevent the loss of AUVs during deployments, existing risk analysis approaches tend to focus on technicalities, historical data and experts’ opinion for probability quantification. However, data may not always be available and the complex interrelationships between risk factors are often neglected due to uncertainties. To overcome these shortfalls, a hybrid fuzzy system dynamics risk analysis (FuSDRA) is proposed. The approach utilises the strengths while overcoming limitations of both system dynamics and fuzzy set theory. Presented as a three-step iterative framework, the approach was applied on a case study to examine the impact of crew operating experience on the risk of AUV loss. Results showed not only that initial experience of the team affects the risk of loss, but any loss of experience in earlier stages of the AUV program have a lesser impact as compared to later stages. A series of risk control policies were recommended based on the results. The case study demonstrated how the FuSDRA approach can be applied to inform human resource and risk management strategies, or broader application within the AUV domain and other complex technological systems.

Land Price Modelling with Radial Basis Function (Case Study: Utan Kayu Selatan Village, East Jakarta)

2021 ◽  
Vol 5 (1) ◽  
pp. 473-479
Author(s):  
Sawitri Subiyanto ◽  
Hana Sugiastu Firdaus ◽  
Nahar Dito Utama Giardi
Keyword(s):  
Radial Basis Function ◽  
Basis Function ◽  
Property Market ◽  
Market Prices ◽  
Land Prices ◽  
Public Facilities ◽  
Radial Basis ◽  
The Stability ◽  
The Relationship

The price of land is an important matter that needs to be assessed by stakeholders. The study of land prices has an important role in seeing the stability of the property market. Several factors affect the property business such as accessibility, public facilities and social facilities. Utan Kayu Selatan is the largest village in Matraman Sub-District with an area of ​​1,12 kilometers. The potential of the property business is very tempting for investors to property developers. One of the economic sector developments is Utan Kayu Raya Road, which can increase land prices in the surrounding area. The factors that influence land prices can be analyzed through several approaches such as regression, mass appraisal and other. In this study, the method used in estimating land prices is the Radial Basis Function (RBF), by looking at the relationship between the distance of plot to roads, public facilities and social facilities. Modeling is carried out based on samples determined on ZNT and NJOP land prices. Furthermore, the calculation of the distance is done by using network analysis. As a result, the RMSE value for the NJOP RBF model and the ZNT RBF model is IDR 1.179.839 and IDR 2.972.345. Meanwhile, the CoV values ​​for both models were 6.2% and 6%. In the comparison of ZNT price predictions with market prices, the highest difference is IDR 13.119.915 and the lowest difference is IDR 537.009. While on the NJOP price prediction, the highest difference is IDR 15.797.583 and the lowest difference is IDR 291.270.

scholarly journals Perceptions of wheat producers towards risk and risk management strategies: A case study from Turkey

2019 ◽  
Vol 49 (12) ◽  
Author(s):  
Seyit Hayran
Keyword(s):  
Risk Management ◽  
Management Strategies ◽  
Policy Instruments ◽  
Data Set ◽  
Wheat Market ◽  
Risk Management Strategies ◽  
Risk Sources ◽  
The Government ◽  
The Impact

ABSTRACT: In this study, risk perception of wheat producers in Turkey was examined based on a case study conducted in Bitlis Province. The data set used in the study was obtained from 157 farmers randomly. Factor analysis was employed to classify risk sources and management strategies, and then multiple regression was used to investigate the relationship between farmers perceptions and some characteristic. Results of this study have shown that economic-based risks were perceived more strongly by farmers. Farmers’ also used more than one risk management strategy to minimize the impact of the risks they face. So, in order to ensure social and economic sustainability and predictability in wheat production and wheat market, the government should be considered preventive policy instruments and interventions to prevent fluctuations in input and output prices.

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