Utilizing fuzzy compatibility of skill sets for team selection in multi-phase projects

In this paper, a model is developed for the selection of personnel for a multiple phase project which takes into account the match between the skills possessed by each individual, the skills needed for each phase, and rather flexible budget considerations. The algorithm uses the fuzzy construct of compatibility to measure the fit of a person’s skill set to the goal set for each project phase. Based on the individual fuzzy compatibility measures, the team is formed from combined levels of compatibility and acceptable levels of quality defined for the goal set. 1 and 2 present the background information necessary to an understanding of project management phases and compatibility of skills. The development of the model and subsequent algorithm in 3 and 4, respectively rely on fuzzy measures of compatibility. Finally, an application is presented in Section 4 with conclusions stated in Section 5.     

Politics,Public Opinion,and Privatization: A Test of Competing Theories in Great Britain

Reforms known collectively as the new public management (NPM) are sweeping governments worldwide. For a movement espousing customer-based service orientations, there is a curious paucity of research on citizens' attitudes toward these reforms. We know little about how citizens feel about them, how they arrive at their conclusions, and how durable their attitudes are likely to be. Using citizen attitudes culled from the 1987--1992 British General Election Panel Survey, we apply multiple regression analysis to begin exploring these issues in one critical area of NPM reform: privatization of state-owned enterprises. We find that the overall predictive power of the five theoretical perspectives culled from public opinion research and operationalized in our model is quite respectable, but that evaluations are too complex for any single explanation of public opinion formation to capture. We also find that British attitudes toward privatization were most associated with cue-taking from leaders and parties, ideological moorings associated with individualism, and income. From these findings we offer a set of hypotheses suitable for testing in future research—most especially, a disparate impact hypothesis—that have important implications for practice and theory-building regarding public opinion and market-based administrative reforms worldwide.     

Environmental Tobacco Smoke Revisited: The Reliability of the Data Used for Risk Assessment

Several epidemiological studies have found a weak, but consistent association between lung cancer in nonsmokers and exposure to environmental tobacco smoke (ETS). In addition, a purported link between such exposure and coronary heart disease (CHD) has been of major concern. Although it is biologically plausible that ETS has a contributory role in the induction of lung cancer in nonsmoking individuals, dose-response extrapolation-supported by the more solid database for active smokers-gives an additional risk for lung cancer risk that is more than one order of magnitude lower than that indicated by major positive epidemiological studies. The discrepancy between available epidemiological data and dosimetric estimates seems, to a major part, to reflect certain systematic biases in the former that are difficult to control by statistical analysis when dealing with risks of such low magnitudes. These include, most importantly, misclassification of smoking status, followed by inappropriate selection of controls, as well as certain confounding factors mainly related to lifestyle, and possibly also hereditary disposition. A significant part of an association between lung cancer and exposure to ETS would disappear, if, on the average, 1 patient out of 20 nonsmoking cases had failed to tell the interviewer that he had, in fact, recently stopped smoking. In the large International Agency for Research on Cancer (IARC) multicenter study even lower misclassification rates would abolish the weak, statistically nonsignificant associations that were found. In the former study an apparent significant protective effect from exposure to ETS in childhood with respect to lung cancer later in life was reported, a most surprising finding. The fact that the mutation spectrum of the p53 tumor suppressor gene in lung tumors of ETS-exposed nonsmokers generally differs from that found in tumors of active smokers lends additional support to the notion that the majority of tumors found in ETS-exposed nonsmokers have nothing to do with tobacco smoke. The one-sided preoccupation with ETS as a causative factor of lung cancer in nonsmokers may seriously hinder the elucidation of the multifactorial etiology of these tumors. Due to the high prevalence of cardiovascular disease in the population, even a modest causal association with ETS would, if valid, constitute a serious public health problem. By pooling data from 20 published studies on ETS and heart disease, some of which reported higher risks than is known to be caused by active smoking, a statistically significant association with spousal smoking is obtained. However, in most of these studies, many of the most common confounding risk factors were ignored and there appears to be insufficient evidence to support an association between exposure to ETS and CHD. Further, it seems highly improbable that exposure to a concentration of tobacco smoke at a level that is generally much less than 1% of that inhaled by a smoker could result in an excess risk for CHD that-as has been claimed-is some 30% to 50% of that found in active smokers. There are certainly valid reasons to limit exposure to ETS as well as to other air pollutants in places such as offices and homes in order to improve indoor air quality. This goal can be achieved, however, without the introduction of an extremist legislation based on a negligible risk of lung cancer as well as an unsupported and highly hypothetical risk for CHD.     

What guides subjective performance evaluation: Incentive alignment or norm enforcement?

This paper investigates the objectives guiding a superior’s subjective evaluation of subordinate performance. In a laboratory experiment, we implement a team production setting under uncertainty, where subordinates contribute to the organization’s output by choosing effort levels, but individual contributions are subject to random shocks. After observing joint output, the superior can invest into additional (perfect or imperfect) information about effort levels. We test two competing hypotheses about objectives guiding a superior’s subjective performance evaluation. The incentive alignment hypothesis states that the superior is guided by the objective to establish financial incentives that align a subordinate’s preferences with the organization’s goals such that it is in the subordinate’s self-interest to provide effort. In contrast, the norm enforcement hypothesis states that the superior has a focus on subordinate behavior and wants to enforce the norm of cooperation by rewarding high and punishing low effort. Our results reject the incentive alignment hypothesis and provide support for the norm enforcement hypothesis.     

Local Control Strategy: Simple Analyses of Air Pollution Data Can Reveal Heterogeneity in Longevity Outcomes

Claims from observational studies that use traditional model specification searches often fail to replicate, partially because the available data tend to be biased. There is an urgent need for an alternative statistical analysis strategy, that is not only simple and easily understood but also is more likely to give reliable insights when the available data have not been designed and balanced. The alternative strategy known as local control first generates local, nonparametric effect‐size estimates (fair treatment comparisons) and only then asks whether the observed variation in these local estimates can be predicted from potential confounding factors. Here, we illustrate application of local control to a historical air pollution data set describing a “natural experiment” initiated by the federal Clean Air Act Amendments of 1970. Our reanalysis reveals subgroup heterogeneity in the effects of air quality regulation on elderly longevity (one size does not fit all), and we show that this heterogeneity is largely explained by socioeconomic and environmental confounders other than air quality.     

On the strategic project management process in the UK upstream oil and gas sector

This paper reports on an investigation into strategic project management in the UK upstream oil and gas sector. The management process is represented by a set of elements which covers context, content and output and are balanced across financial, internal business, external environment, and learning and innovation perspectives. The paper uncovers elements that appear to explain successful project management and compares these with the elements to which managers pay greatest attention. There appears to be a mismatch between those elements which are associated with success and those receiving significant management attention.     

The Severity of Supply Chain Disruptions: Design Characteristics and Mitigation Capabilities

Supply chain disruptions and the associated operational and financial risks represent the most pressing concern facing firms that compete in today's global marketplace. Extant research has not only confirmed the costly nature of supply chain disruptions but has also contributed relevant insights on such related issues as supply chain risks, vulnerability, resilience, and continuity. In this conceptual note, we focus on a relatively unexplored issue, asking and answering the question of how and why one supply chain disruption would be more severe than another. In doing so, we argue, de facto, that supply chain disruptions are unavoidable and, as a consequence, that all supply chains are inherently risky. Employing a multiple‐method, multiple‐source empirical research design, we derive novel insights, presented as six propositions that relate the severity of supply chain disruptions (i) to the three supply chain design characteristics of density, complexity, and node criticality and (ii) to the two supply chain mitigation capabilities of recovery and warning. These findings not only augment existing knowledge related to supply chain risk, vulnerability, resilience, and business continuity planning but also call into question the wisdom of pursuing such practices as supply base reduction, global sourcing, and sourcing from supply clusters.     

Simulation Modeling and Analysis: A Collateral Application and Exposition of RFID Technology

RFID technology provides in‐depth, real‐time visibility into the status of assets throughout the supply chain. However, the deployment of RFID technology may have collateral value in the high‐quality data generated by these assets. This study explores the potential value of RFID data for tactical and strategic purposes and the redesign of processes within supply chain through the deployment of simulation modeling and analysis. We present a simulation study conducted at a regional hospital for which data related to trauma patient movement was collected with an RFID‐based system. We find that not only does this data serve as the basis for successful simulation modeling, but that RFID technology may address several data‐related challenges previously identified in the simulation literature.     

让你的谈话发挥效力

让我们想象这样一幅场景：一位人类学家来到你的办公室，他用了一整天时间跟在你身边，寸步不离地观察你的一言一行。当你一天工作结束之后，他告诉你，在这一整天当中，他只看到了一件事情——人们在不停地进行沟通。这位人类学家告诉你，在这一天的时间里，他参加了一些正式的会议，看到人们在进行面对面的交流，进行随机的讨论，或者是通过电子邮件进行沟通。“没错，确实如此，”你说道，“可那叉怎样呢？”人类学家告诉你，你在这一天当中所说的话大多数都是重复的。“这很好，”你告诉自己，