Search results

The purpose of this paper is to identify, measure and optimise financial risk and its effect on returns from innovation projects on an accrual basis and on a cash basis in a commodity industry.

A hypothetical case study, based on a real case, of a petrochemical commodity industry in Brazil was analysed with commodities pricing rules based on actual contracts. Earnings at risk (EaR) and cash flow at risk (CFaR) measures were applied, as well as a metric proposed in this paper called cash balance at risk (CBaR).

The paper demonstrates that financial risk measurement and optimisation are important issues in the decision-making process in the petrochemical industry. EaR, CFaR and CBaR measures are helpful when used alongside standard procedures of project evaluation. The findings also show that innovative technologies, in certain conditions, may act as “natural hedging”. It was found that the time delay between revenues and expenses leads to financial risk exposure to changes in prices and foreign exchange rates. Projects can use financing and hedging to boost their results.

An innovative project was compared with an expansion project in a petrochemical industry. A model for petrochemical commodities contract pricing was added in an analysis that included financing and hedging. The findings in this paper suggest that it is important to consider financial risk measures in project evaluation.

O objetivo deste trabalho é identificar, medir e otimizar o risco financeiro e seus efeitos sobre os resultados de projetos com inovação, tanto na perspectiva do regime contábil quanto do regime de caixa, em uma indústria de commodities.

Um estudo de caso hipotético, baseado em um caso real de uma indústria petroquímica brasileira, foi analisado com regras de precificação de commodities baseados em contratos reais. As métricas Earnings at Risk (EaR) e Cash Flow at Risk (CFaR) foram utilizadas, assim como uma métrica proposta neste trabalho, denominada Cash Balance at Risk (CBaR).

Este artigo demonstrou que a mensuração e otimização do risco financeiro são questões importantes no processo de tomada de decisão em uma indústria petroquímica. As medidas EaR, CFaR e CBaR se apresentaram como contribuições ao processo padrão de avaliação de projetos. Os resultados também demonstraram que inovações tecnológicas, em certas condições, podem funcionar como um “hedge natural”. Foi verificado que descasamentos temporais entre recebimentos e despesas geram uma exposição financeira a oscilações em preços e em valores de moedas estrangeiras. Financiamento e hedge podem ser utilizados em conjunto para aprimorar resultados de projetos.

Um projeto com inovação foi comparado com um projeto de expansão em uma indústria petroquímica. Foi realizada uma analise de risco que agrega ao financiamento e ao hedge o uso de contratos de precificação de commodities. Os resultados desse projeto demonstram que é importante considerar medidas de risco financeiro nas avaliações de projetos.

This chapter discusses the DRENURBS initiative in Belo Horizonte, a program for urban water drainage using natural ecosystems, using the sociotechnical framework. DRENURBS transformed the logic of canalizing water streams into a new, nature-based solution with significant positive impacts on biodiversity and social benefits. Following a theoretical debate on sustainability transition and innovation concepts, this chapter seeks to map the essential elements for building a successful institutional framework in the public sector for urban biodiversity improvements.

This study assesses outsourcing risks using the fuzzy analytical hierarchy process (FAHP).

This descriptive research combines both qualitative and quantitative approaches. Risks identified in the literature review were classified with FAHP using questionnaire data from respondents in operations, procurement and risk management in Brazilian Navy Industrial Military Organizations (OMPS-I, by its Portuguese acronym).

The results indicate that FAHP is a method capable of producing relevant information to decision-making in the risk management process. A framework was created incorporating 16 major risks related to outsourcing. The results point to higher inherent risk levels related to outsourcing in the context of OMPS-Is: in order, hidden costs and unrealized savings; loss of knowledge/skills and/or corporate memory and difficulty in reacquiring a function; and loss of opportunities and reputation. The category of economic risk was revealed as the most important.

This study improves understanding of outsourcing risks and improves risk assessment by refining decision-making information and developing a system of decision analysis with several criteria. It also contributes to the development and implementation of a usable version of decision analysis with several criteria at a managerial level.

The purpose of this study is to investigate the determinants of agricultural insurance adoption by farmers of the state of São Paulo, Brazil.

Primary data from the 2015/2016 crop season was collected from a sample of 175 farmers. Logit econometric models were applied to identify the variables that affect the probability of agricultural insurance adoption.

The empirical results show that the education level, access to technical assistance, use of management tools and farm size positively affect the probability of adopting agricultural insurance. In addition, farmers who produce soybean and/or corn are more likely to use insurance. On the other hand, the higher the farmers’ propensity to take risk the lower the likelihood of using insurance.

The empirical analysis is based on cross-sectional data of a sample of 175 farmers of the state of São Paulo. The use of panel data with a larger sample of farmers, considering a period of years, could provide additional information.

To the best of the knowledge, this is the first empirical analysis about determinants of agricultural insurance adoption by Brazilian farmers, considering behavioral factors. The findings provide useful insights for policymakers in formulating risk management programs in the Brazilian agricultural markets. A better understanding about the determinants of insurance adoption is also relevant for private companies that sell insurance to farmers. Therefore, the paper may contribute with the diffusion of rural insurance as risk management tool in Brazilian agriculture.

Understanding the context of any subject is crucial and this is certainly true of risk management in the public sector. Undoubtedly, what we face today is the highly path-dependent result of what has happened in the past. And, what happens today in a local government, for example, is very much influenced by the wider current situation that surrounds it. Further, it must be said that even the future can be part of the present context (climate change would be a stark example of this).

Described in this way, it seems a daunting challenge to understand past, present, and future – and, indeed, it verges on the impossible. The remaining chapters of this book revisit the context through the lens of the various components of risk management (assessment, analysis, forecasting, and more) and by looking at the present and future through the concepts and principles used by risk managers. Here, in Chapter Three, the issue of context is first considered by examining the relationship between past and present with specific reference to risk management as a management practice. Thus, the chapter does not specifically address how uncertainty is assessed, or how insurance is used, or even how a risk management programme operates – these are topics for later chapters. Rather, the history of risk management is presented as a narrative that seeks to explain how risk management has evolved into what it is today.

Finally, the chapter leads into the present by providing an overview of the current public environment in Europe. This allows the book to develop both a history of how risk management became what it is today, and to understand the key risks and uncertainties that define the current context. Chapter Four presents the administrative nature of today’s practices and offers some speculation about alternative ways of thinking about risk management practices now and in the future.

This study aims to focus on the development and testing of a social risk management scale that could be applied to identify internal and external dimensions of strategic risks.

This study applied a quantitative approach for testing an theoretical model in the Brazilian mining sector, using partial least squares–structural equation modeling to assess reliability and validity of the dimensions and model.

Results points that internal and external risks have similar impact on general risk in the mining sector on the company studied. The research also identifies multidimensional scales consisting of internal (company policy, attitudes, loss of assets, human resources and operational) and external risks (market, strategic, social, credit, liquidity, loss of assets and technological). The results also points the relative importance of these dimensions and sub-dimensions on general business strategic risks.

The scale was tested in just one company and, as a case study approach, the results are of limited generalization. Also, the scale was developed in the mining sector, so also the scale may require adaptation to applications in other contexts.

The multidimensional and hierarchical approach applied to modeling and scale development helps managers to understand the nature of risks and how to minimize them in business strategic settings.

The study points out cues for managers to reconcile divergent sources of strategic risks that affect business, taking in to account the social dimension as a central element of risk management.

The study proposes and tests a scale with a multidimensional and hierarchical approach for social risk managing.

This work aims to characterize the risks companies deal with in the context of a pandemic, and to ascertain which risk type is most present in Portuguese organizations. It is also intended to verify whether there are differences in the various risk types between companies that had or did not have a plan or strategy to act in a pandemic, such as the one caused by COVID-19.

A quantitative methodology was used, based on the application of a questionnaire survey targeting the Portuguese companies. The sample is composed of 1,647 Portuguese companies, which were queried through a questionnaire survey that analyses different risk types. Then, the software R was used to treat the results.

The results show that companies are exposed and vulnerable to uncertain events, and five risk types were formed: legal, image, financial, strategic and operational. There is a bigger concern about the management of financial risks.

Academics and companies can become more aware and master the concept of risk and its different branches, which consequently favours the adoption of strategies to better manage and plan risk.

The literature on international businesses and their risks assumes that all crises are the same. However, the COVID-19 pandemic, besides causing a recession, obliges people and companies to adapt to a new scenario. Risks become more important to companies, in a way that had not been academically studied.

The purpose of this paper is to identify the risks to which agrifood supply chains are exposed and to analyze how these risks impact the degree of coordination of the chain.

The present investigation was executed in two steps. Initially, a literature review and interviews with slaughterhouse managers were carried out to identify the main risks to which agrifood supply chains are exposed. The second step consisted of a survey involving 66 Brazilian slaughterhouses to identify how the perception of risks influences the degree of coordination in the examined chains.

The study revealed that risks, transaction costs and creation of collaborative advantages are determining factors in defining the degree of coordination in the analyzed agrifood supply chains.

The results allow slaughterhouse managers to more easily recognize the risks to which the supply chains are exposed and evaluate in more detail strategies for relationships with their suppliers. These strategies may be able to avoid conflict and create value for the supplier by stimulating longer relationships and facilitating animal purchase transactions for slaughter. This can lead to quality improvements, lower costs and reduced risk.

Studies of risks in agrifood supply chains are rare in comparison with those developed in other sectors. The present investigation is innovative in identifying the main risks specific to agrifood supply chains and associating those risks with a degree of coordination that minimizes them.

Purpose – This research aimed to study the relationship between Enterprise Risk Management (ERM) and performance improvement.

Design/methodology/approach – A questionnaire was used as an instrument of data collection that was passed to managers of nonfinancial companies listed among the 500 largest and best firms in Brazil. The data from this study were analyzed with descriptive statistics and multivariate analysis of correlation and association.

Findings – The results showed that the main drivers of risk management were regulation, stakeholder demands, and business competitiveness. Among the practices that have been used, managers spotlight the utility of basic methods, more subjective, while technical methods, more quantitative, were of secondary importance. It was evidenced that the risks were weighted in the main activities of the organization. As a result, it was demonstrated that improved performance is associated with the maturity level of risk management and the level of stakeholders’ involvement in risk management.

Research limitations/implications – Other researches could examine how this process was developed in other countries and expand the number of organizations studied.

Practical implications – This study provides empirical evidence about theorist assumptions about the relationship between ERM and performance improvement.

Social implications – This study demonstrates the importance of human aspects for the processes of risk management and how external factors can influence this process.

Originality/value – It gives a broader and deeper comprehension of the process of risk management at nonfinancial firms in Brazil.