Asymptotic behaviour of M‐estimators in AR(p) models under nonstandard conditions

The authors derive the limiting distribution of M‐estimators in AR(p) models under nonstandard conditions, allowing for discontinuities in score and density functions. Unlike usual regularity assumptions, these conditions are satisfied in the context of L₁‐estimation and autoregression quantiles. The asymptotic distributions of the resulting estimators, however, are not generally Gaussian. Moreover, their bootstrap approximations are consistent along very specific sequences of bootstrap sample sizes only.     

Vertical greening systems, a process tree for green façades and living walls

This study shows that greening the building envelope with vertical greening systems such as climbing plants or living wall systems provides ecological and environmental benefits. Contemporary architecture in fact is increasingly focusing on vertical greening systems as a means to restore the environmental integrity of urban areas, biodiversity and sustainability. Applying green façades, which is an established feature of contemporary urban design, can offer multiple environmental benefits on both new and existing buildings and can be a sustainable approach in terms of energy saving considering materials used, nutrients and water needed and efficient preservation of edifices. To provide a full perspective and a viable case study on vertical greening systems a process tree is developed throughout this research. Elaborating the process tree has proved to be a useful methodology to analyse main parameters as climate and building characteristics, avoid damages and maintenance problems caused by inappropriate design, and compare different elements such as technologies, materials, durability, dimensions, and plant species employed.     

Workers’ Perception of Chemical Risks: A Focus Group Study

Workers’ perceptions with respect to health and safety at work are rarely taken into account when considering the development of prevention programs. The aim of this study was to explore workers’ perceptions of chemical risks at the workplace, in order to investigate the prerequisites for a workplace health program. A qualitative study was conducted involving seven focus groups of 5–10 participants (blue‐collar workers) each. All groups were homogeneous in terms of sex, work status, language, and company membership. Results showed that several factors have an important influence on workers’ perception of chemical risks. Workers assess risks by means of both sensory and empirical diagnosis and are concerned about the long‐term health consequences. They perceive the threat of chemical risks as high. Despite this, they are resigned to accepting the risks. Existing formal sources of information are rarely consulted because they are judged to be difficult to understand and not user friendly. Instead, workers tend to obtain information from informal sources. Communication problems with and lack of trust in prevention advisers and hierarchy are frequently mentioned. Workers feel that their specific knowledge of their working conditions and their proposals for practical, cost‐effective solutions to improve health and safety at the workplace are insufficiently taken into account. The use of focus groups yielded a useful insight into workers’ perceptions of chemical risks. Our findings suggest that training programs for prevention advisers should include topics such as understanding of workers’ perceptions, usefulness of a participatory approach, and communication and education skills.     

Maximum likelihood estimation for the negative multinomial log-linear model

A log-linear model is defined for multiway contingency tables with negative multinomial frequency counts. The maximum likelihood estimator of the model parameters and the estimator covariance matrix is given. The likelihood ratio test for the general log-linear hypothesis also is presented.     

Social preferences for the evaluation of procedures

The standard analysis of procedures (mechanisms), in the theory of implementation, focuses on the properties of the subset of possible outcomes. But since a given procedure may yield very different outcomes in different circumstances (preference profile, information or rationality of players), it may be useful to rely on fine-grained social preferences over outcomes in order to evaluate the procedure. This paper introduces the notion of cross-profile social ordering, and illustrates how this concept may be used for the assessment of procedures.     

A generic accounting model to support operations management decisions

Information systems are generally unable to generate information about the financial consequences of operations management decisions. This is because the procedures for determining the relevant accounting information for decision support are not formalised in ways that can be implemented in information systems. This paper describes a formalised procedure, which is based on the following theoretical propositions: (i) cost behaviour is described on the basis of a company's contracts for purchasing and selling resources, and (ii) hierarchical relationships between decisions are recognised, because some decisions have to be made earlier than others. Earlier decisions determine the feasible alternatives for later decisions (e.g. through constraints in available production capacity or components), and the plans that supported the earlier decisions serve as instructions for later decisions. The procedure can be implemented in information systems to provide accounting information in case later decisions deviate from these instruc tions (within the limits of the real-world constraints) because new information becomes available.     

Nonprofit Governance Quality: Concept and Measurement

ABSTRACT

A nonprofit “governance quality index” was developed to enable verification and falsification of contemporary theoretical insights on social service organizations. Indicators were generated based on an extensive qualitative exploration. For the quantitative validation, a data set was composed of 526 respondents from 52 organizations. Five subdimensions of governance quality are introduced and are recommended to be used as separate scales, rather than combined into a single score on governance quality. Furthermore, the recommendation is made to rely on multiple raters per organization to assess governance quality or related concepts, given the substantial within-organization variance found.     

Combining strength and uncertainty for preferences in the graph model for conflict resolution with multiple decision makers

A hybrid preference framework is proposed for strategic conflict analysis to integrate preference strength and preference uncertainty into the paradigm of the graph model for conflict resolution (GMCR) under multiple decision makers. This structure offers decision makers a more flexible mechanism for preference expression, which can include strong or mild preference of one state or scenario over another, as well as equal preference. In addition, preference between two states can be uncertain. The result is a preference framework that is more general than existing models which consider preference strength and preference uncertainty separately. Within the hybrid preference structure, four kinds of stability are defined as solution concepts and a post-stability analysis, called status quo analysis, which can be used to track the evolution of a given conflict. Algorithms are provided for implementing the key inputs of stability analysis and status quo analysis within the extended preference structure. The new stability concepts under the hybrid preference structure can be used to model complex strategic conflicts arising in practical applications, and can provide new insights for the conflicts. The method is illustrated using the conflict over proposed bulk water exports from Lake Gisborne in Newfoundland, Canada.