Priority Setting for the Distribution of Localized Hazard Protection

We address the problem of distributing safety-enhancing devices across a region, where each identical device provides for only local protection of the population. The devices protect nonidentical sectors of the population. The sectors of population are exposed to nonidentical intensities of hazard. A method for the screening and prioritizing of needs for the protective devices is described. An approach of risk-benefit-cost analysis under uncertainty is recommended as follows. Measures of hazard intensity and population exposure are identified. Exogenous parameters that influence assessments of risks, benefits, and costs are identified. Uncertainties of the exogenous parameters are propagated by interval analysis. Several tiers of the plausibility of need for protection are identified. The tiers are useful in setting priorities for the distribution of the safety devices. The method is demonstrated in an engineering application to roadway lighting, but has implications for disaster preparedness, anti-terrorism, transportation safety, and other arenas of public safety.     

Bridging Scholarship in Management: Epistemological Reflections

If the relevance gap in management research is to be narrowed, management scholars must identify and adopt processes of inquiry that simultaneously achieve high rigour and high relevance. Research approaches that strive for relevance emphasize the particular at the expense of the general and approaches that strive for rigour emphasize the general over the particular. Inquiry that attains both rigour and relevance can be found in approaches to knowledge that involve a reasoned relationship between the particular and the general. Prominent among these are the works of Ikujiro Nonaka and John Dewey. Their epistemological foundations indicate the potential for a philosophy of science and a process of inquiry that crosses epistemological lines by synthesizing the particular and the general and by utilizing experience and theory, the implicit and the explicit, and induction and deduction. These epistemologies point to characteristics of a bridging scholarship that is problem-initiated and rests on expanded standards of validity. The present epistemological reflections are in search of new communities of knowing toward the production of relevant and rigorous management knowledge.     

Perception of Ecological Risk to Water Environments

This paper examines lay and expert perceptions of the ecological risks associated with a range of human activities that could adversely affect water resource environments. It employs the psychometric paradigm pioneered in characterizing perceptions of human health risks, which involves surveys to obtain judgments from subjects about risk items in terms of several important characteristics of the risks. The paper builds on a previous study that introduced ecological risk perception. This second study employs a larger, more diverse sample, a more focused topic area, and comparisons between lay and expert judgments. The results confirm that a small set of underlying factors explain a great deal of variability in lay judgments about ecological risks. These have been termed Ecological Impact, Human Benefits, Controllability , and Knowledge. The results are useful in explaining subjects' judgments of the general riskiness of, and need for regulation of, various risk items. The results also indicate several differences and areas of agreement among the lay and expert samples that point to potential key issues in future ecological risk management efforts for water resources.     

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私有化对电信服务商技术能力提高的影响

提出一个技术能力的评估框架,即4种与主要增值活动相关的技术能力(创新能力、设计与工程技术能力、市场营销与销售能力、服务能力)和4种与辅助增值活动相关的技术能力(获取资源能力、人力资源开发能力、战略计划能力、信息技术能力),并将其应用于斯里兰卡电信公司私有化前后的考察,得出私有化带来了技术能力显著提高的结论.     

A Conceptual Model for Researching the Creation and Operation of Supply Networks1

This paper presents a conceptual model for the creation and operation of supply networks. Existing conceptual research relating to interorganizational relationships and networks is reviewed in terms of its relevance to understanding supply networks; this research is drawn from the fields of strategic management, channel management, industrial marketing and purchasing, organizational behaviour and supply‐chain management. The different perspectives each field has on networks are highlighted. Contributions made by each in assisting to understand supply networks are discussed and synthesized. Findings from an exploratory survey are used to structure the design of a conceptual model for analysing the processes involved in the creation and operation of supply networks. The authors identify nine different types of networking activities and discuss the nature of these activities in the context of supply. Four different types of contextual factors relating to supply networks are identified. The model is tested in eight in‐depth case studies and a validating survey of 58 focal firm networks. It is concluded that it provides a robust structure that enabled complex, cross‐case analysis of multi‐variable, multi‐disciplinary data from interorganization product/service supply networks, but that further testing by other researchers is required.     

Simultaneous Confidence Intervals for the Population Cell Means,for Two-by-Two Factorial Data,that Utilize Uncertain Prior Information

Consider a two-by-two factorial experiment with more than one replicate. Suppose that we have uncertain prior information that the two-factor interaction is zero. We describe new simultaneous frequentist confidence intervals for the four population cell means, with simultaneous confidence coefficient 1 ? α, that utilize this prior information in the following sense. These simultaneous confidence intervals define a cube with expected volume that (a) is relatively small when the two-factor interaction is zero and (b) has maximum value that is not too large. Also, these intervals coincide with the standard simultaneous confidence intervals obtained by Tukey’s method, with simultaneous confidence coefficient 1 ? α, when the data strongly contradict the prior information that the two-factor interaction is zero. We illustrate the application of these new simultaneous confidence intervals to a real data set.