An integrated approach for green design: Life-cycle,fuzzy AHP and environmental management accounting

The growing awareness of environmental issues has made the design of eco-friendly products a critical task for modern businesses. Almost all the costs and the environmental performance of a product over its life-cycle are determined in its design and development phase. The selection of alternative green designs is, however, a major challenge in today's competitive environment. The increasing pressure on time-to-market conflicts with the analytical approach typically required when using conventional environmental management accounting (EMA) tools such as Life-Cycle Assessment (LCA) and Life-Cycle Costing (LCC). This paper introduces a comprehensive method that integrates the LCA and EMA concepts, fuzzy logic and Analytical Hierarchical Process (AHP), to measure the environmental and organisational performance of different designs. We propose a screening model to help designers reduce their reliance on LCA and present a case study to demonstrate that this approach provides a systematic method of evaluating alternative designs and identifying product design improvement options. The measurement approach presented in this research can help companies reduce development lead time by screening out undesirable design options. More importantly, the approach can be modelled with the mere use of an Excel spreadsheet, which means limited resources are needed to implement the proposed method.     

High‐risk Technology,Legitimacy and Science: The U.S. Search for Energy Policy Consensus

Since the 1980s, a growing body of social scientific research has focused on the organizational character of the institutions that are responsible for the management and functioning of high‐risk technological systems. While there are differences among the social theories of risks that have developed on both sides of the Atlantic, much of the work offers warnings that are relevant to public policy. The warnings have largely been ignored in recent U.S. policy decisions, as illustrated most clearly by the U.S. Energy Act of 2005, which largely overlooks important questions regarding the environmental and technological risks of the technologies favored by the Act. Sociological work suggests that the scientific systems that have been instrumental in the legitimization process of high‐risk technological options of energy, more broadly, should be examined in connection with the societal institutions having responsibility for transparency, safety, and environmental protection.     

Innovation capacities in advanced economies: Relative performance of small open economies

This paper offers an empirical examination of the determinants of a nation's ability to produce commercially viable innovations, measured as Patents Granted across a sample of 23 advanced economies. The approach employed is based on estimating National Innovative Capacity that focuses on the long-run ability of economies to produce and/or commercialise innovative technologies, in the spirit of Furman et al. (2002). The time period of our analysis covers 1993 to 2005 and employs panel estimation.Motivated by differences in the rate of innovation between economies with different economic structures we examine the Small Open Economies (SOEs) in our country sample to assess whether there is a significant difference between the determinants of Innovative Capacity in SOEs and the other larger developed economies.We find that advanced SOEs and larger economies do not differ substantially in their determinants of producing innovative technologies and, notwithstanding the limitations of Patents as measures of innovative activity, we conclude that policy choice and variation plays a key role in determining the productivity of R&D, when measured as patenting activity.     

Discussion of adoption of Just-in-Time and Electronic Data Interchange systems and perceptions of Cost Management Systems effectiveness

Cost Management Systems (CMS) are often prescribed to assist in cost planning and control in manufacturing organizations. This study draws connections between the efficacy of these systems and the technologies and environmental factors affecting their use. A survey of 107 manufacturing firms demonstrates the importance of Just-in-Time (JIT) manufacturing, and to a lesser extent, Electronic Data Interchange (EDI) technologies. This critique examines the research in detail, and focuses on the strengths and weaknesses of the study. Strengths of the paper are the elaborate and well-supported study design and development, the innovative and thorough sampling technique, the creative analytical approach, and the lengthy discussion. Weaknesses focus on presentation length, construct operationalization, and the interpretation of results.     

The ecological transparency of the information society

A de-linking of pollution from economic growth and de-materialisation can probably be seen as the most important single characteristic of sustainable development. With regard to this, ecological transparency means understanding all human activities, processes and patterns that have an impact on the potential for sustainable development. Closely linked with this is the idea that the ecological footprint of the information society should be concerned with the environmental implications of its generations, applications and the disposability of information and communication technologies (ICTs). This paper aims at developing scenarios, and a set of criteria, plus indicators as tools for identifying various environmental impacts inherent in the information society. Furthermore, it aims for the successful unification of the positive factors of the information society with ecologically sustainable development. It is concluded that policy plans for the information society would benefit from the enhanced level of ecological transparency the information society can provide, as presented via the indicators mentioned later in the text. Further, it is suggested that prerequisites should be created for evaluating the implications of the information society and for the application of related information society technologies. Such an approach could be labelled an Information Society Assessment.     

Toward a method for the rapid collection of public concerns and benefits of emerging energy technologies

Abstract

The speed and scale with which new technologies emerge sometimes force decision makers to act without the benefit of thorough risk analyses and environmental and social impact analyses. Insights from interested and affected parties (IAPs) can be tapped to alert decision makers to expected risks and benefits associated with emerging technologies. One of the methodological challenges has been to identify IAPs with relevant knowledge of the emerging technology. Here we show how Facebook’s marketing tool can be employed to reach IAPs with experience and knowledge in a new energy technology and recruit them to a survey instrument. We demonstrate the approach in the context of hydraulic fracturing for oil and gas in the United States. A $200 1-week Facebook ad produced a diverse sample of 379 IAPs from 36 states that identified 41 benefits and 80 risks. This knowledge can be used to steer the direction of analyses for impact assessments. Comparison to a similar study showed a surprising number of differences, suggesting that larger samples are needed.     

Something old and something new: comparing views about nanotechnology and nuclear energy

This paper provides a review and evaluation of different food‐risk prioritization and management frameworks that have been developed by governmental food‐safety authorities, regulatory agencies and non‐governmental institutions worldwide. It emphasizes the need for a new science‐ and risk‐based system approach to microbial risk prioritization. We find that most studies and projects argue for a systematic and multi‐disciplinary approach to risk prioritization but nevertheless lack it. Human and public health issues have constituted the core focus of food‐risk analysis in food‐borne risk prioritization studies, where the majority of studies use the concept of disease burden. Even though it is widely recognized that economic and market‐level impacts of microbial hazards and preventive interventions to reduce food‐borne risks are crucial to the performance of industries and markets, they are almost never accounted for in risk prioritization frameworks.     

切实保障金融创新中的金融安全——美国次贷危机的教训

金融创新与金融安全有着极为密切的关系。金融创新作为金融领域各种要素的重新优化组合和各种资源的重新配置,既有助于金融体系的稳定和金融安全,也可能带来金融脆弱性、危机传染性和系统性风险,从而对金融安全产生负面冲击。实证研究表明,在美国次贷危机的爆发和升级过程中,金融创新扮演了十分重要的角色;"金融创新-金融风险-金融监管-金融再创新"是一个动态的发展过程,如果金融创新信息披露充分、金融创新风险管理有效、金融创新监管到位,那么,金融创新仍然是规避金融风险、保障金融安全的重要途径。     

Risk governance and emerging technologies: learning from case study integration

Emerging technologies are underway in a wide array of industrial applications and need fields. When innovating on technologies, one main objective is to improve the management of safety related to their emerging risks. The iNTeg-Risk project undertook 17 case studies covering current key innovations and focusing on their corresponding risks. Thus, a major challenge is to integrate the case study research into a common framework on adequate future risk and safety concepts which might serve policy and stakeholder decision-makers as a background for risk-related decisions in the future. Within this paper, we looked on similarities and disparities on how these case studies assess, manage, and communicate risk issues. A telephone survey with case study task leaders has been carried out in order to identifying the state-of-the-art of how the case studies deal with risk governance issues.     

Firm-level risk of climate change: Evidence from climate disasters

While climate change impacts most regions, a company's physical location and geographic diversification could determine how it is affected by the risks associated with climate change. We explore information from extreme climate events to study whether and how they affect firm-level risks. The results indicate a positive association between a firm's exposure to catastrophic climate events, measured by headquarters and affiliation's locations and systematic and idiosyncratic volatility, suggesting that this risk is somewhat unpredictable and undiversifiable. Furthermore, geographic dispersion increases firms' exposure to extreme climate event risks. Our results also indicate that this effect is more pronounced in industries in which environmental issues are financially material and is mitigated by better environmental performance of the firm. In addition, the effect increases with investor awareness. Overall, our research contributes to a better understanding of businesses' exposure to the risks associated with climate change.     

Competitive advantage on a warming planet

Whether you're in a traditional smokestack industry or a "clean" business like investment banking, your company will increasingly feel the effects of climate change. Even people skeptical about global warming's dangers are recognizing that, simply because so many others are concerned, the phenomenon has wide-ranging implications. Investors already are discounting share prices of companies poorly positioned to compete in a warming world. Many businesses face higher raw material and energy costs as more and more governments enact policies placing a cost on emissions. Consumers are taking into account a company's environmental record when making purchasing decisions. There's also a burgeoning market in greenhouse gas emission allowances (the carbon market), with annual trading in these assets valued at tens of billions of dollars. Companies that manage and mitigate their exposure to the risks associated with climate change while seeking new opportunities for profit will generate a competitive advantage over rivals in a carbon-constrained future. This article offers a systematic approach to mapping and responding to climate change risks. According to Jonathan Lash and Fred Wellington of the World Resources Institute, an environmental think tank, the risks can be divided into six categories: regulatory (policies such as new emissions standards), products and technology (the development and marketing of climate-friendly products and services), litigation (lawsuits alleging environmental harm), reputational (how a company's environmental policies affect its brand), supply chain (potentially higher raw material and energy costs), and physical (such as an increase in the incidence of hurricanes). The authors propose a four-step process for responding to climate change risk: Quantify your company's carbon footprint; identify the risks and opportunities you face; adapt your business in response; and do it better than your competitors.     

Rafting the River: A Risk Management Expert System for Dynamic Problem Solving

Commercial project management systems focus on preproject planning and after-the-fact documentation, but not on the dynamic problem solving required in day-to-day project management. Yet the need for risk-oriented management is clear. To understand and control project risks, managers must be able to identify problems as they occur, immediately assess their downstream impacts, and plan a course of action. The Advanced Risk Management System (ARMS) is a prototype system built to address the issues of identifying, analyzing, prioritizing, monitoring, and controlling project risk. ARMS uses expert systems, data base management, and hypermedia technologies to capture and classify project schedule problems, to determine their semantic impacts to future activities, and to alert appropriate project personnel in advance of problem occurrence.     

Interplay of insurance and financial risks in a stochastic environment

Consider an insurer who makes risky investments and hence faces both insurance and financial risks. The insurance business is described by a discrete-time risk model modulated by a stochastic environment that poses systemic and systematic impacts on both the insurance and financial markets. This paper endeavors to quantitatively understand the interplay of the two risks in causing ruin of the insurer. Under the bivariate regular variation framework, we obtain an asymptotic formula to describe the impacts on the insurer's solvency of the two risks and of the stochastic environment.     

The risk-based approach under the new EU data protection regulation: a critical perspective

Abstract

The first broad reform of personal data protection legislation in the European Union entered into force in May 2018 (Regulation (EU) 2016/679, the General Data Protection Regulation). Remarkably, with this reform a risk-based approach has been introduced as the core data protection enforcement model, while data protection authorities see their regulatory role significantly weakened. The risk-based approach is to be implemented by the data controllers (i.e. the operators) via data protection impact assessments (evoking the established environmental impact assessment procedure) and notification of breaches, among other procedures. Hence the scope of both the concepts of risk and risk regulation spread beyond conventional domains, namely the environment, public health or safety, i.e. physical risks, to encompass risks to intangible values, i.e. individual rights and freedoms, presumably harder to assess and manage. Strikingly, the reform has been accompanied by a confident discourse by EU institutions, and their avowed belief in the reform’s ability to safeguard the fundamental right to data protection in the face of evolving data processing techniques, specifically, big data, the Internet of Things, and related algorithmic decision-making. However, one may wonder whether there isn’t cause for concern in view of the way the risk-based approach has been designed in the data protection legislation. In this article, the risk-based approach to data protection is analysed in the light of the reform’s underlying rationality. Comparison with the risk regulatory experience in environmental law, particularly the environmental impact assessment procedure, is drawn upon to assist us in pondering the shortcomings, as well as the opportunities of the novel risk-based approach.     

Environmental work profiles—A Visionary Life Cycle Analysis of a week at the office

This study aims to set up a method to analyse the variable office work profiles of jobs such as bankers, managers, specialists, researchers, etc. A worker's profile has to be assessed from the perspective of balanced sustainability including environmental, economic and social aspects. This paper starts with a presentation of a visionary methodology by which the environmental performance of present work profiles (taken from research reports and policy strategies by Finnish ministries) is assessed. Due to this all the work profiles presented in this paper are preliminary and only serve the purpose of illustrating the methodology. In a second step an extensive survey will be carried out in larger companies to create more detailed and empirical work profiles. At the same time, further effort has to be put into analysing alternative future work profiles and possibly to include economic and social aspects.In order to determine the environmental impact of office work, two normally independent methods are combined in this paper. A futures table is used to describe a number of alternative work profiles. This table matrix serves also as the basis to establish future scenarios of probable and possible working weeks. Life Cycle Analysis (LCA) is the tool used for figuring out the energy and material performance according to the modelled work profiles. When used together, the two methods comprise - as we call it with respect to future-oriented work scenarios - a Visionary Life Cycle Analysis (VLCA) of Office Work.The immediate results of this methodology demonstrate which working profiles are ecologically more sustainable than others. Weaknesses in behaviour patterns are detected and space for improvement is localised. In short: this methodology enables a company or single worker to analyse present work profiles and patterns and to create new visionary and sustainable work patterns. The final goal could be to provide a tool to document anybody's work profile and to show how - by changing certain habits - the individual's (environmental) performance could be improved.     

Beyond CAPM: estimating the cost of equity considering idiosyncratic risks

The present study proposes a new evaluation approach aimed at estimating the cost of equity through standardized models which consider an innovative set of firm-specific information on the main unsystematic risks which are typical of any business. Our objective is extending the Capital Asset Pricing Model (CAPM) by defining a standard formula for quantifying the premium for certain idiosyncratic risks as a function of a new set of firm-specific quantitative information. We define two econometric models, for listed and non-listed firms respectively, which consider five idiosyncratic risk factors: firm size, value factor, operating risks, financial structure and stock market price volatility. The models were tested on a sample of European non-financial companies. The empirical results show that while the CAPM systematically underestimates the cost of equity, the proposed models correctly estimate its expected value; furthermore, they show a slight improvement also in terms of estimates’ volatility. Due to their efficacy and ease of use, the proposed models represent a valid practical tool for investors, analysts and professional evaluators. This work contributes to the existing literature by proposing a typologically innovative extension of the CAPM set of explanatory variables, defining and testing new models for the estimation of the unsystematic risks’ spread of the cost of equity based on an original set of firm-specific accounting and market information.     

Predicting an American future for cohousing

Cohousing is an innovative form of accommodation. It offers economic, environmental and social advantages over existing forms of development. Cohousing emerged in the USA during the past 20 years as an innovative housing form with a niche market, but adoptions to date have been limited. This paper seeks to determine the future for cohousing in the USA, using innovation diffusion theories. It reviews the factors influencing the rate of diffusion of cohousing (relative advantages, compatibility, complexity, trialability and observability). It investigates the impact of path dependencies and the existence of disruptive technologies on adoptions. It considers the potential for cohousing to “cross the chasm” and be adopted by the mainstream. The findings of the research suggest that “grass-roots” approaches to the creation of cohousing communities are likely to result in the greatest number of adoptions in the future.     

A decision analytic approach for technology portfolio prioritization: aviation safety applications

A decision analytic approach for evaluating new aviation safety products and technologies is developed and demonstrated to consolidate five existing program assessment metrics to develop a unified metric that simultaneously considers the relative importance and contribution of each. This allows for a meaningful and objective evaluation and comparison of the National Aeronautics and Space Administration (NASA) Aviation Safety Program (AvSP) advanced aeronautical products and technologies. The resulting decision model is referred to as the Composite Program Assessment Score (CPAS). The CPAS includes the five existing metrics; technical development risk, implementation risk, fatal accident rate reduction, safety benefits and cost, and safety risk reduction, which are each defined and quantified by different sources. The CPAS involves the scaling and combination of these individual metrics. In this paper, two alternative combinatorial modeling approaches to calculate the CPAS are presented. The weighted sum model and an additive value theory model are compared and contrasted. The resulting CPAS metrics allow an overall comparison of all 48 of the NASA AvSP products and technologies. Currently CPAS is based on preliminary weight measures from subject matter experts to reflect the relative importance of each metric. Actual case studies of both linear and non‐linear value functions are demonstrated.     

Assessing a problem-oriented social technology : A general conduct

In a commercial environment, TA is frequently seen as an extension of technological forecasting with the purpose to provide arguments for company policy. Following the contribution illus- trating this approach, which was published in the last issue,¹ Futures is now introducing another concept of TA as a policy-oriented activity in the area of “social technology”. This article discusses methodological lessons learnt from an attempt to assess the impacts of the introduction of no-fault automobile insurance on a nationwide basis. It is concerned with the development of systematic procedures for analysing two types of future conditions: (1) the unintended social impacts likely to result from a given innovation in a relatively stable external environment; and (2) the changes in intended impacts and additional unintended impacts likely to result from coupling the given innovation with other prospective changes in the external world.