Risk Assessment Can Be a Game‐Changing Information Technology—But Too Often It Isn't

The printing press was a game‐changing information technology. Risk assessment could be also. At present, risk assessments are commonly used as one‐time decision aids: they provide justification for a particular decision, and afterwards usually sit on a shelf. However, when viewed as information technologies, their potential uses are much broader. Risk assessments: (1) are repositories of structured information and a medium for communication; (2) embody evaluative structures for setting priorities; (3) can preserve information over time and permit asynchronous communication, thus encouraging learning and adaptation; and (4) explicitly address uncertain futures. Moreover, because of their “what‐if” capabilities, risk assessments can serve as a platform for constructive discussion among parties that hold different values. The evolution of risk assessment in the nuclear industry shows how such attributes have been used to lower core‐melt risks substantially through improved templates for maintenance and more effective coordination with regulators (although risk assessment has been less commonly used in improving emergency‐response capabilities). The end result of this evolution in the nuclear industry has been the development of “living” risk assessments that are updated more or less in real time to answer even routine operational questions. Similar but untapped opportunities abound for the use of living risk assessments to reduce risks in small operational decisions as well as large policy decisions in other areas of hazard management. They can also help improve understanding of and communication about risks, and future risk assessment and management. Realization of these opportunities will require significant changes in incentives and active promotion by the risk analytic community.     

Information technology and productivity: Myths and realities

In the absence of empirical research, media and government publicity have created false expectations and unnecessary anxieties about the effects of new technology. It is comparatively easy to show how information technology can produce productivity gains and job losses in specific areas. But it is not realistic to extrapolate ‘local’ effects to an organization as a whole, or to the economy. The argument of this paper is that it is necessary to consider the implications of technical change on three ‘levels of effect’—operating, organizational and strategic—in order to make a comprehensive assessment. Management, however, appear to concentrate on operating criteria, ignore the consequences of organizational decisions, and do not explore the strategic opportunities of the new technology. The potential strategic advantages may thus not be achieved.     

One Agency's Use of Risk Assessment and Risk Communication1

Few organizations have the courage to evaluate their own use of risk assessment (identifying hazards and estimating their probability and magnitude) and risk communication (interacting with internal and external stakeholder groups about risks). The USDA Animal and Plant Health Inspection Service (APHIS) wants to enhance its overall risk analysis process for managing a wide range of risks to animals, plants, and human health. We gathered survey data for a baseline of APHIS professionals’ understanding and use of risk assessment and risk communication. APHIS professionals spend a surprisingly large share of their time communicating about risks. They perceive that risk estimates influence decisions, but that risk estimates should have more influence. Respondents reported little opposition to APHIS risk management decisions, and little use of channels such as USDA Extension Service for disseminating risk messages. Substantial variance across responses is explained mostly by differences in the roles of the 11 work units (now 10) within the agency. Location also contributes to the variance. Demographic variables seem less important.     

Clinic Capacity Management: Planning Treatment Programs that Incorporate Adherence

For infectious diseases like tuberculosis and HIV, treatment adherence plays an important role in treatment effectiveness and epidemic control. Studies of some infectious diseases indicate that patients who live closer to their health facilities maintain higher adherence; however, most models ignore the heterogeneity of patients' adherence. Clinics must balance knowledge about adherence with epidemic growth when creating successful treatment programs. We develop an optimization model that integrates a clinic's capacity decisions with population health outcomes. We find that incorporating adherence into clinic planning models can lead to decisions that significantly improve outcomes. For example, in a realistic case study of the HIV epidemic in Zambia, we find that decision makers who ignore decreasing adherence make suboptimal decisions and overestimate the effectiveness of their treatment programs by as much as 94%. Our model is a first step toward understanding the relationship between adherence and health delivery.     

Advancing Risk‐Informed Decision Making in Managing Defense Nuclear Waste in the United States: Opportunities and Challenges for Risk Analysis

An omnibus spending bill in 2014 directed the Department of Energy to analyze how effectively Department of Energy (DOE) identifies, programs, and executes its plans to address public health and safety risks that remain as part of DOE's remaining environmental cleanup liabilities. A committee identified two dozen issues and associated recommendations for the DOE, other federal agencies, and the U.S. Congress to consider, as well as other stakeholders such as states and tribal nations. In regard to risk assessment, the committee described a risk review process that uses available data, expert experience, identifies major data gaps, permits input from key stakeholders, and creates an ordered set of risks based on what is known. Probabilistic risk assessments could be a follow‐up from these risk reviews. In regard to risk management, the states, in particular, have become major drivers of how resources are driven. States use different laws, different priorities, and challenge DOE's policies in different ways. Land use decisions vary, technology choices are different, and other notable variations are apparent. The cost differences associated with these differences are marked. The net result is that resources do not necessarily go to the most prominent human health and safety risks, as seen from the national level.     

共性技术VS专用性技术:基于三阶段非合作博弈的供应商研发决策

本文针对面向多制造商的供应商研发决策问题,分别构造了供应商在选择共性技术和专用性技术研发决策情形下与两个制造商组成的三阶段非合作博弈模型,得到了供应商在这两种情形下各自的最优研发决策,通过对这两种最优决策情形下供应商最优研发程度比较,给出了这两种情形下供应商研发程度相等的条件和各自的占优区间。论文进一步讨论了供应商单位成本、制造商单位成本、最终产品替代率、单位研发成本变动对这两种情形下供应商最优研发决策的影响,并给出了相应的数值解,表明采用不同技术研发决策时供应商最优研发程度与制造商单位成本存在显著差异,即:采用共技术性研发决策时,与两个制造商单位成本负相关;采用专用性技术研发决策时,与面向专用性的制造商单位成本正相关,无专用性面向的制造商单位成本负相关。     

Direct Inference, Probability, and a Conceptual Gulf in Risk Communication

Differences in the conceptual frameworks of scientists and nonscientists may create barriers to risk communication. This article examines two such conceptual problems. First, the logic of "direct inference" from group statistics to probabilities about specific individuals suggests that individuals might be acting rationally in refusing to apply to themselves the conclusions of regulatory risk assessments. Second, while regulators and risk assessment scientists often use an "objectivist" or "relative frequency" interpretation of probability statements, members of the public are more likely to adopt a "subjectivist" or "degree of confidence" interpretation when estimating their personal risks, and either misunderstand or significantly discount the relevance of risk assessment conclusions. If these analyses of inference and probability are correct, there may be a conceptual gulf at the center of risk communication that cannot be bridged by additional data about the magnitude of group risk. Suggestions are made for empirical studies that might help regulators deal with this conceptual gulf.     

LINKING PROCESS CHOICE WITH PLANT-LEVEL DECISIONS ABOUT CAPITAL AND HUMAN RESOURCES

We examine how process choice links with design decisions about capital and human resources. Our analysis confirms empirically most expected differences between process- and product-focused plants for these decisions. What is unexpected is how top-performing plants resemble other plants within the same process choice category in most respects, while distinguishing themselves on a few selected process attributes. For example, better performing process-focused plants not only achieve higher machine flexibility levels and lower overhead costs as expected, but also have more intensive preventive maintenance programs. Similarly, product-focused plants that achieve certain hallmarks of process-focused plants also enjoy superior performance.     

Plurality of Worlds, Plurality of Risks

Risk management decisions are not made only on the basis of expert risk assessment. In numerous instances, public controversy erupts, questioning the results of previous risk assessment procedures and shaping the development of risk management episodes. This article presents a case study of risk management in the context of a 1980s controversy over aerial spraying against a spruce budworm epidemic in Quebec and draws some general conclusions concerning the relationship between risk analysis and public controversies. Actors in public controversies define risks more broadly than risk assessment experts. Moreover, public controversies only partly concern issues of risk. They are first and foremost debates about social choices in which actors carry with them a multidimensional social experience of technology, trust, credibility and decision-making institutions. This experience contributes to the construction of a plurality of emergent representations of what is at stake in a controversy, referred to in this paper as "worlds of relevance." Analysis shows that in any given public controversy, there are not just two parties arguing against each other. Rather, several "worlds of relevance" can be found that link, in a variety of ways, a variety of entities not necessarily shared by all these worlds. Each "world of relevance" presents a different definition of what the issues and the stakes of the controversy are. Risks are only part of the picture, and they are embedded in "worlds of relevance" from which they take their significance. The successful management of a controversy entails the association of entities from different worlds.     

“The Dose Makes the Poison”: Informing Consumers About the Scientific Risk Assessment of Food Additives

Intensive risk assessment is required before the approval of food additives. During this process, based on the toxicological principle of “the dose makes the poison,? maximum usage doses are assessed. However, most consumers are not aware of these efforts to ensure the safety of food additives and are therefore sceptical, even though food additives bring certain benefits to consumers. This study investigated the effect of a short video, which explains the scientific risk assessment and regulation of food additives, on consumers’ perceptions and acceptance of food additives. The primary goal of this study was to inform consumers and enable them to construct their own risk‐benefit assessment and make informed decisions about food additives. The secondary goal was to investigate whether people have different perceptions of food additives of artificial (i.e., aspartame) or natural origin (i.e., steviolglycoside). To attain these research goals, an online experiment was conducted on 185 Swiss consumers. Participants were randomly assigned to either the experimental group, which was shown a video about the scientific risk assessment of food additives, or the control group, which was shown a video about a topic irrelevant to the study. After watching the video, the respondents knew significantly more, expressed more positive thoughts and feelings, had less risk perception, and more acceptance than prior to watching the video. Thus, it appears that informing consumers about complex food safety topics, such as the scientific risk assessment of food additives, is possible, and using a carefully developed information video is a successful strategy for informing consumers.     

竞争环境下新创企业产量柔性技术战略决策研究

考虑新创企业与成熟企业相互竞争,重点研究竞争环境下,两企业的产量柔性技术选择及产能投资决策。首先分析了四种不同策略组合下两企业的最优产能决策、新创企业的最大生存概率以及成熟企业的最大利润;然后用传统博弈论的方法得出了二者的竞争均衡,并分析影响两企业产量柔性战略决策的因素;最后用数值实验进行验证。研究结果表明：在竞争中,新创企业更加关注成本因素,倾向于选择成本较小的无柔性技术;成熟企业对市场需求的波动更为敏感,当市场需求波动较大时,选择产量柔性技术能提高其收益;当产量柔性技术单位产量调整成本较大时,选择无柔性技术对两企业更为有利。     

Optimal Pricing and Rebate Strategies in a Two‐Level Supply Chain

For many product categories, manufacturers and retailers often offer rebates to stimulate sales. Due to certain adverse effects, however, some manufacturers and retailers are contemplating the elimination of their rebate programs. This paper sheds light on the debate about the value of rebate programs by presenting a model for evaluating the conditions under which a firm should offer rebates in a competitive environment. Specifically, we consider a two‐level supply chain comprising one manufacturer and one retailer. Each firm makes three decisions: the regular (wholesale or retail) price, whether or not to offer rebates, and the rebate value should the firm decide to launch a rebate program. We determine the equilibrium of a vertical competition game between the manufacturer (leader) and the retailer (follower), and we provide insights about how competition affects the conditions under which a firm should offer rebates in equilibrium.     

Ecological Risk Assessment,Prediction, and Assessing Risk Predictions

Ecological risk assessment embodied in an adaptive management framework is becoming the global standard approach for formally assessing and managing the ecological risks of technology and development. Ensuring the continual improvement of ecological risk assessment approaches is partly achieved through the dissemination of not only the types of risk assessment approaches used, but also their efficacy. While there is an increasing body of literature describing the results of general comparisons between alternate risk assessment methods and models, there is a paucity of literature that post hoc assesses the performance of specific predictions based on an assessment of risk and the effectiveness of the particular model used to predict the risk. This is especially the case where risk assessments have been used to grant consent or approval for the construction of major infrastructure projects. While postconstruction environmental monitoring is increasingly commonplace, it is not common for a postconstruction assessment of the accuracy and performance of the ecological risk assessment and underpinning model to be undertaken. Without this “assessment of the assessment,” it is difficult for other practitioners to gain insight into the performance of the approach and models used and therefore, as argued here, this limits the rate of improvement of risk assessment approaches.     

People's Preferences for Safety Control: Why Does Baseline Risk Matter?

Previous tests of how people's valuations of safety vary with the level of baseline risk have left policymakers with a rather mixed message. Some data support the conventional hypothesis derived from economic theory that marginal valuations of risk changes increase with the baseline level, but other data reject it. With these indeterminate findings in mind, the present study adopted an in-depth quantitative-qualitative methodology to explore the preferences of a general population sample (N = 147) for safety programs targeted at hazards with different age groups at risk and numbers of deaths per year. The data clearly showed that self- or household interest mattered to people (e.g., programs in which the respondent or their household members were in the at-risk age group were evaluated more positively). The number of deaths also mattered, although not always for reasons strictly consistent with the conventional hypothesis. Rather, the qualitative findings suggested that evaluations may be driven by auxiliary assumptions about aspects of the programs induced by this information (e.g., people believe that a higher number of deaths is an indicator that more people are likely to be exposed to that hazard). These findings bring into question the extent to which quantitative responses from stated preference surveys can be taken at face value to form a reliable basis for public policy.     

Stress, the quality of work, and repetition strain injury in Australia

Widespread concern developed in the 1980s in Australia about repetition injuries among keyboard operators, particularly in the Australian Public Service. Government departments were found to vary in their injury rates and this research seeks to explain the variation. It is hypothesized that it is associated with differences in job stress or, more generally, the quality of work. A survey was carried out, using the Insel and Moo Work Environment Scale and certain other job stress variables and the hypothesis was confirmed. The paper draws conclusions about the need to redesign jobs in order to reduce the risk of repetition injuries.     

Generating Explanations for Goal-Based Decision Making*

As information systems make the transition from decision support to decision making, there will be a concomitant need for the programs to explain or justify their actions. Without such explanations, humans will not readily cede authority to a machine. This paper describes an automated decision-making program, VOTE, which generates natural language explanations for its decisions in both English and French. The program domain is Congressional roll call voting. VOTE simulates voting decisions of specific members of the United States House of Representatives on given bills. VOTE's natural language generation facility is also used by the underlying databases to interpret the knowledge representations. These underlying knowledge representations are described and applications of this decision making model to the general business domains of strategic planning, investment, and marketing are suggested.     

Exposure Assessment: Then, Now, and Quantum Leaps in the Future

Health risk assessments have become so widely accepted in the United States that their conclusions are a major factor in many environmental decisions. Although the risk assessment paradigm is 10 years old, the basic risk assessment process has been used by certain regulatory agencies for nearly 40 years. Each of the four components of the paradigm has undergone significant refinements, particularly during the last 5 years. A recent step in the development of the exposure assessment component can be found in the 1992 EPA Guidelines for Exposure Assessment. Rather than assuming worst-case or hypothetical maximum exposures, these guidelines are designed to lead to an accurate characterization, making use of a number of scientific advances. Many exposure parameters have become better defined, and more sensitive techniques now exist for measuring concentrations of contaminants in the environnment. Statistical procedures for characterizing variability, using Monte Carlo or similar approaches, eliminate the need to select point estimates for all individual exposure parameters. These probabilistic models can more accurately characterize the full range of exposures that may potentially be encountered by a given population at a particular site, reducing the need to select highly conservative values to account for this form of uncertainty in the exposure estimate. Lastly, our awareness of the uncertainties in the exposure assessment as well as our knowledge as to how best to characterize them will almost certainly provide evaluations that will be more credible and, therein, more useful to risk managers. If these refinements are incorporated into future exposure assessments, it is likely that our resources will be devoted to problems that, when resolved, will yield the largest improvement in public health.     

Internationalization, innovation and entrepreneurship: business models for new technology-based firms

New technology-based firms, particularly those that develop their business around a new technological platform, are likely to be impacted by globalization, in terms of both pace of innovation and pressure of competition. For these firms, strategic decisions and growth processes are characterized by a deep inter-relationship amongst the processes of internationalization, innovation and entrepreneurship; processes which have tended to be examined independently in distinct bodies of literature. In practice strategic decisions concern each of these processes and address issues such as organizational boundaries, location of the operational activities, what activities to focus on and selection of value partners. The business model by which firms operate needs also to accommodate the spatial dimensions indicated by globalization; and the emergence of global technology markets. Little is known to date about the extent to which business models accommodate or are adapted to internationalization, innovation and entrepreneurship. This paper presents a review of the business model literature from which a generic business model framework is derived, identifying and introducing the main elements of these processes as the firms?? focus, modus and locus. This contribution makes a clear distinction between the business model and the strategy concepts and highlights the relevance of location decisions??not considered by extant business model literature to date. While our discussion draws on the high technology new venture as our primary example, we believe our business model conceptualization has general applicability.     

Liquidity and Trading Dynamics

In this paper, we build a model where the presence of liquidity constraints tends to magnify the economy's response to aggregate shocks. We consider a decentralized model of trade, where agents may use money or credit to buy goods. When agents do not have access to credit and the real value of money balances is low, agents are more likely to be liquidity constrained. This makes them more concerned about their short‐term earning prospects when making their consumption decisions and about their short‐term spending opportunities when making their production decisions. This generates a coordination element in spending and production which leads to greater aggregate volatility and greater comovement across producers.