scholarly journals A Knowledge-Based Risk Management for the Utility Business Service Model

10.28945/2685 ◽  
2003 ◽  
Author(s):  
Christina Silveira
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Business Model ◽  
Value Chain ◽  
Virtual Enterprise ◽  
Business Service ◽  
Analysis Model ◽  
Service Model ◽  
Emergent Technologies ◽  
Virtuous Cycle

The digital economy needs new indicators for emergent technologies, and to establish them, a risk analysis model is deployed as an Information System Meta research method. The role of the Utility Business Service Model (UBSM) in mitigating information technology and information systems (IT/IS) risks in the business activity: assisting to understand how the virtual enterprise paradigm is shifting established values across the IT/IS value chain. The technical infrastructure for e-commerce and ebusiness share similar risks. The PMBook (Project Management Institute) risk analysis model is used to understand the risks involved in the adoption of UBSM by potential customers. This preliminary model will be part of a virtuous cycle of learning and informing. The twofold purpose of the knowledge-base risk management framework is (1) to summarise and categorise initial research finds about the use of the UBSM, and (2) survey the pace of adoption and acceptance of the UBSM as a service provision business model, which includes the application services provision (ASP) business model.

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.

scholarly journals Risk analysis model and agricultural derivative market use

2021 ◽  
Vol 12 (8) ◽  
pp. 2508-2534
Author(s):  
João Batista Ferreira ◽  
Luiz Gonzaga Castro Junior
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Value At Risk ◽  
Price Risk ◽  
Analysis Model ◽  
Agricultural Risk ◽  
Market Risks ◽  
Price Risks ◽  
Derivative Markets ◽  
Price Risk Management

This research aims to build conceptual guidelines regarding price risk management through the agricultural derivatives market. Specifically, to identify the common price risk management methods and strategies employed, the risk analysis models of derivative markets, and the barriers to agricultural risk management. This is an integrative review, the search for literature on the models of risk management analysis of agricultural derivatives started by listing the largest possible number of keywords on the topic, in the Scopus and Web of Science. Forty-five publications were found meeting the pre-established criteria that served as the basis for this research.  Based on the literature review, we list the main information on the subject and we also propose a theoretical model for analyzing the market risks of agricultural derivatives. Still, it was possible to notice that among the methodologies for measuring market risk, Value at Risk (VaR) stands out. We exemplify and demonstrate the existence of several statistical analyzes and mathematical models, as well as software available for the management of price risks. It is concluded that strategies with the futures and options market, even though they are the most efficient for risk management, lack incentives to become practical.

scholarly journals Risk interaction identification in international supply chain logistics

2018 ◽  
Vol 38 (2) ◽  
pp. 372-389 ◽  
Author(s):  
Dong-Wook Kwak ◽  
Vasco Sanchez Rodrigues ◽  
Robert Mason ◽  
Stephen Pettit ◽  
Anthony Beresford
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Risk Analysis ◽  
Supply Chains ◽  
Analysis Model ◽  
Content Type ◽  
Risk Elements ◽  
Supply Chain Logistics ◽  
Holistic Understanding ◽  
Level 2

Purpose International supply chains can be severely disrupted by failures in international logistics processes. Therefore, an understanding of international logistics risks, or causes of failure, how these may interact with each other and how they can be mitigated are imperatives for the smooth operation of international supply chains. The purpose of this paper is to specifically investigate the interactions between international logistics risks within the prevailing structures of international supply chains and highlights how these risks may be inter-connected and amplified. A new dynamic supply chain logistics risk analysis model is proposed which is novel as it provides a holistic understanding of the risk event interactivity. Design/methodology/approach The paper applies interpretive structural modelling to data collected from a survey of leading supply chain practitioners, in order to analyse their perspectives of risk elements and interactions. The risk elements and their contextual relationship were derived empirically through the use of focus groups and subsequent Delphi study. The two stages of the research rely on experts’ views on risk events and clusters and the level of interactions among those clusters. Findings A key finding of this research is that supply chain practitioner’s perception of risk consists of inter-connected four levels: value streams risks; information and relationship risks; risks in international supply chain activities; and external environment. In particular, since level 2 risk creates feedback loops of risks, risk management at level 2 can dampen the amplification effect and the strength of the interactions. Practical implications Several managerial implications are drawn. First, the research guides managers in the identification and evaluation of risk events which can impact the performance of their international logistics supply chain operations. Second, evidence is presented that supports the proposition that the relationships with trading partners and LSPs, and the degree of logistics information exchange, are critical to prevent, or at least mitigate, logistics risks which can substantially affect the responsiveness of the international supply chain. Originality/value The main contribution to knowledge that this study offers to the literature on supply chain risk management is the development of a supply chain logistics risk analysis model which includes both risk elements and interactions. The research demonstrates the importance of taking into account risk interactions in the process of identification and evaluation of risk events.

scholarly journals Cyber Risk Management for Critical Infrastructure: A Risk Analysis Model and Three Case Studies

Risk Analysis ◽  
2017 ◽  
Vol 38 (2) ◽  
pp. 226-241 ◽  
Author(s):  
M.-Elisabeth Paté-Cornell ◽  
Marshall Kuypers ◽  
Matthew Smith ◽  
Philip Keller
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Case Studies ◽  
Critical Infrastructure ◽  
Analysis Model ◽  
Cyber Risk

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 The Role of Social Enterprise Hybrid Business Models in Inclusive Value Chain Development

2021 ◽  
Vol 13 (2) ◽  
pp. 499
Author(s):  
Bob Doherty ◽  
Pichawadee Kittipanya-Ngam
Keyword(s):  
Business Model ◽  
Value Chain ◽  
Social Impact ◽  
Business Models ◽  
Rural Poverty ◽  
Sustainable Business ◽  
Middle Income ◽  
Low Middle Income Countries ◽  
Development Literature ◽  
Hybrid Organisations

This study contributes to the growing interest in hybrid organisations, sustainable business models and inclusive value chain development (IVCD). Recent work has identified that of some 570 million farmers in the world, more than 475 million farmers are smallholders in low-middle-income countries experiencing increasing food insecurity and rural poverty. Research argues that there is a lack of research that provides work on appropriate solutions for smallholders. This paper answers this call by a qualitative study of ten case studies, which draws on hybrid organising, sustainable business model and IVCD research to identify the novel business model characteristics that hybrid organisations use to create and manage more inclusive value chains for smallholders. These hybrid organisations are designed to create a value proposition that delivers sustainability upgrading for smallholders via both product, process and governance upgrades, empowers smallholders to achieve development goals and creates multiple value for social impact. We therefore identify the important characteristics of the hybrid business model to provide appropriate solutions for smallholders and overcome the challenges identified in the inclusive value chain development literature.

Scenario based evaluation of a cost risk model through sensitivity analysis

2015 ◽  
Vol 22 (4) ◽  
pp. 403-423 ◽  
Author(s):  
Önder Ökmen ◽  
Ahmet Öztaş
Keyword(s):  
Risk Factors ◽  
Risk Analysis ◽  
Risk Model ◽  
Practical Method ◽  
Cost Evaluation ◽  
Sensitivity Analyses ◽  
Analysis Model ◽  
Content Type ◽  
Detailed Evaluation ◽  
Cost Risk

Purpose – Actual costs frequently deviate from the estimated costs in either favorable or adverse direction in construction projects. Conventional cost evaluation methods do not take the uncertainty and correlation effects into account. In this regard, a simulation-based cost risk analysis model, the Correlated Cost Risk Analysis Model, previously has been proposed to evaluate the uncertainty effect on construction costs in case of correlated costs and correlated risk-factors. The purpose of this paper is to introduce the detailed evaluation of the Cost Risk Analysis Model through scenario and sensitivity analyses. Design/methodology/approach – The evaluation process consists of three scenarios with three sensitivity analyses in each and 28 simulations in total. During applications, the model’s important parameter called the mean proportion coefficient is modified and the user-dependent variables like the risk-factor influence degrees are changed to observe the response of the model to these modifications and to examine the indirect, two-sided and qualitative correlation capturing algorithm of the model. Monte Carlo Simulation is also applied on the same data to compare the results. Findings – The findings have shown that the Correlated Cost Risk Analysis Model is capable of capturing the correlation between the costs and between the risk-factors, and operates in accordance with the theoretical expectancies. Originality/value – Correlated Cost Risk Analysis Model can be preferred as a reliable and practical method by the professionals of the construction sector thanks to its detailed evaluation introduced in this paper.

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