Maximal Rank Minimum Aberration Foldover Plans for 2<Superscript><Emphasis Type="Italic">m</Emphasis>-<Emphasis Type="Italic">k</Emphasis></Superscript> Fractional Factorial Designs

Two level regular fractional factorial designs are often used in industry as screening designs to help identify early on in an experimental process those experimental or system variables which have significant effects on the process being studied. In a recent paper, Li and Lin (2003) suggested a strategy for constructing optimal follow up designs using the well known foldover technique and the minimum aberration criterion. In this paper, we extend the results of Li and Lin (2003) by giving an alternate technique for constructing optimal follow up designs using the foldover technique in conjunction with the maximal rank–minimum aberration criterion suggested in Jacroux (2003).     

Measuring process capability index <Emphasis Type="Italic">C</Emphasis><Subscript><Emphasis Type="Italic">pm</Emphasis></Subscript> with fuzzy data

The process capability index C _pm , which considers the process variance and departure of the process mean from the target value, is important in the manufacturing industry to measure process potential and performance. This paper extends its applications to calculate the process capability index [(C)\tilde]_pm{\tilde {C}_{pm} } of fuzzy numbers. In this paper, the α-cuts of fuzzy observations are first derived based on various values of α. The membership function of fuzzy process capability index [(C)\tilde]_pm{\tilde {C}_{pm} } is then constructed based on the α-cuts of fuzzy observations. An example is presented to demonstrate how the fuzzy process capability index [(C)\tilde]_pm{\tilde {C}_{pm} } is interpreted. When the quality characteristic cannot be precisely determined, the proposed method provides the most possible value and spread of fuzzy process capability index [(C)\tilde]_pm{\tilde {C}_{pm} }. With crisp data, the proposed method reduces to the classical method of process capability index C _pm .     

Top-<Emphasis Type="Italic">k</Emphasis>-lists

Top-k-lists are introduced as sequences of k-dimensional random vectors with ordered components being k largest observations from a sequence of independent identically distributed random variables. Such lists changing in time are natural stochastic models of ranking tables which appear in many situations in real life, when one wants to keep a track of several best results in a given field. Here we study basic properties of top-k-lists as joint distributions, conditional structures, representations, driving examples of top-k-lists from exponential and uniform distributions, asymptotics and a relation to generalized order statistics.     

Inference by the <Emphasis Type="Italic">m</Emphasis> out of <Emphasis Type="Italic">n</Emphasis> bootstrap in nonparametric frontier models

It is well-known that the naive bootstrap yields inconsistent inference in the context of data envelopment analysis (DEA) or free disposal hull (FDH) estimators in nonparametric frontier models. For inference about efficiency of a single, fixed point, drawing bootstrap pseudo-samples of size m < n provides consistent inference, although coverages are quite sensitive to the choice of subsample size m. We provide a probabilistic framework in which these methods are shown to valid for statistics comprised of functions of DEA or FDH estimators. We examine a simple, data-based rule for selecting m suggested by Politis et al. (Stat Sin 11:1105–1124, 2001), and provide Monte Carlo evidence on the size and power of our tests. Our methods (i) allow for heterogeneity in the inefficiency process, and unlike previous methods, (ii) do not require multivariate kernel smoothing, and (iii) avoid the need for solutions of intermediate linear programs.     

Optimality results on orthogonal arrays plus <Emphasis Type="Italic">p</Emphasis> runs for <Emphasis Type="Italic">s</Emphasis><Superscript><Emphasis Type="Italic">m</Emphasis></Superscript> factorial experiments

The optimality of designs obtained by adding p runs to an orthogonal array is studied for experiments involving m factors each at s levels. The optimality criterion used here, is the Type 1 criterion due to Cheng (1978) which is an extension of Kiefer (1975) universal optimality criterion. Unlike what happens with orthogonal array plus one run designs, the behavior of designs obtained via augmentation of an orthogonal array by p runs depends on the particular runs added.     

Two-stage DEA: <Emphasis Type="Italic">caveat emptor</Emphasis>

This paper examines the wide-spread practice where data envelopment analysis (DEA) efficiency estimates are regressed on some environmental variables in a second-stage analysis. In the literature, only two statistical models have been proposed in which second-stage regressions are well-defined and meaningful. In the model considered by Simar and Wilson (J Prod Anal 13:49–78, 2007), truncated regression provides consistent estimation in the second stage, where as in the model proposed by Banker and Natarajan (Oper Res 56: 48–58, 2008a), ordinary least squares (OLS) provides consistent estimation. This paper examines, compares, and contrasts the very different assumptions underlying these two models, and makes clear that second-stage OLS estimation is consistent only under very peculiar and unusual assumptions on the data-generating process that limit its applicability. In addition, we show that in either case, bootstrap methods provide the only feasible means for inference in the second stage. We also comment on ad hoc specifications of second-stage regression equations that ignore the part of the data-generating process that yields data used to obtain the initial DEA estimates.     

Environmental management: from ‘fit’ to ‘stretch’

Environmental management is a budding discipline that studies the development and shaping of environmental policy in business. This article discusses what progress has been made in theory building in the field of environmental management, and what priorities should be set for future research. The level of ambition of a company with respect to its environmental performance is seen as the result of the following three variables: the coincidence of increased eco-efficiency and market opportunities; the internal structure and culture of the company (including the influence of a number of important actors in it) and the pressure from the immediate and wider social environment to take environmental measures. Research in the field of environmental management can improve our understanding of the conditions under which companies will strive for higher eco-efficiencies. It is argued that such research must concentrate on the interaction of the three variables mentioned above and on how they affect the actions of companies. © 1998 John Wiley & Sons, Ltd and ERP Environment.     

Post-<Emphasis Type="Italic">Burlington</Emphasis>: What Employers and Employees Need to Know About Retaliation

Since the landmark decision in Burlington Northern & Santa Fe Railway Co. v. White, numerous federal district courts and circuit courts of appeals in the United States have considered employees’ retaliation claims. This paper reviews several post-Burlington cases and provides employers with a roadmap as to what has been held to be retaliation under the law and what has not. Our contribution is an up-to-date analysis of retaliation cases, on a specific employment action basis, to provide guidance to employers of the types of activity that could support a claim of retaliation and to employees to alert them as to the types of activity that they should not have to endure in the workplace.     

The <Emphasis Type="Italic">focus groups</Emphasis> in social research: advantages and disadvantages

The focus group (FG) technique has been recently rediscovered by social scientists. It has become the subject of important methodological discussions and it is now considered a very innovative research method. However, such a widespread use of FG seems to have become a fashionable research technique. The impression is that FG is often adopted without any prior consideration of whether it really is the most suitable research technique for achieving the cognitive goals of the research. At the same time, it seems that the FG is often adopted only because it is considered an easy-to-organise and inexpensive technique. The goal of this paper is to evaluate the nature of the FG, analyse its advantages and disadvantages and identify the cognitive problems that it helps to face. In order to discuss these two points, I will focus on the two main characteristics that differentiate the FG from other techniques of information gathering in social research. Firstly, in FGs the informative source is a group. Secondly, the heuristic value of this technique lies in the kind of interaction that emerges during the debate. Several researchers have indicated these two aspects as the main characteristics of FG; but only few authors have translated these comments into serious epistemological and methodological knowledge, thus allowing the FG to give its best results.     

‘House poor’ or simply ‘poor’?

This paper defines a set of indicators for distinguishing housing affordability problems resulting from high rents from those chiefly arising from low income. In place of the common ratio of rent to income, it uses a residual income indicator with indicators of over-consumption and over-paying for housing services. The indicators are computed for a sample of renter households in Switzerland, one of the countries with the greatest rental share. They help define more precisely who needs general income assistance and who needs specific housing aid (only one fourth of the former).     

Bayesian estimation of log odds ratios from R × C and 2 × 2 × K contingency tables

In this paper, Bayesian estimation of log odds ratios over R × C and 2 × 2 × K contingency tables is considered, which is practically reasonable in the presence of prior information. Likelihood functions for log odds ratios are derived for each table structure. A prior specification strategy is proposed. Posterior inferences are drawn using Gibbs sampling and Metropolis–Hastings algorithm. Two numerical examples are given to illustrate the matters argued.     

The ‘science’ and ‘practice’ of HRM in small firms

This paper looks at the ‘science’ and ‘practice’ of human resource management in small firms. While there is growing evidence that the practice of human resource management in small firms is characterized by informality, there is less evidence about the science, or explaining why this is the case. We look to writing on strategic human resource management, which has at its heart the resource based view of the firm, for possibilities offered to understanding the science of human resource management in small firms.     

‘Repeat commercializers,’ the ‘habitual entrepreneurs’ of university–industry technology transfer

Among academic faculty, is there a class of ‘repeat commercializers’ who account for a disproportionate share of commercialized technologies arising from university research? In a survey of 172 engineering, mathematics, and science faculty members from a major Canadian university, we found evidence that a class of repeat commercializers does exist. Further, we found that the 12% of the faculty who are repeat commercializers account for 80% of the commercialized innovations. Interviews with repeat commercializers in the same faculties at the same university suggest that repeat commercializers parallel habitual entrepreneurs in that they have the ability to commercialize (i.e. the ability to generate and identify commercializable inventions and the ability to acquire resources for the commercialization of their inventions) and the aspiration to do so (i.e. commercialization-friendly attitudes). Since repeat commercializers account for such a large percentage of commercialization activity, it is important that programs and policies associated with technology transfer address the needs of this subpopulation of the faculty.     

Raising the Regional Leviathan: A Relational‐Materialist Conceptualization of Regions‐in‐Becoming as Publics‐in‐Stabilization

The purpose of this article is to contribute to the understanding of how spatial entities in general — and those spatial entities that are defined as ‘regions’ in particular — form, evolve and sometimes stabilize. Inspired by the scholarship of Noortje Marres, the article explores how regions‐in‐becoming may be gainfully conceptualized as publics‐in‐stabilization. In the article it is argued that some of the mechanisms involved in such processes pertain to how territorially framed issues sometimes become formulated as loosely articulated propositions for regionalization. These can, with time, generate emergent stakeholder communities, which in turn may become stabilized and delegated to more durable forms and materials which can eventually become naturalized as recognized regions. A suggested conceptual model is utilized to perform an analysis of empirical material from three contemporary processes of regionalization in Northern Europe with the purpose of examining and discussing some of the potential merits and shortcomings of the conceptual model. It is concluded that adopting the proposed perspective can enable scholars to highlight some of the mechanisms whereby vague and non‐coherent propositions for regionalization within time may be singularized and stabilized to such a degree that they become taken for granted as naturalized spatialities.     

The ‘win–win’ paradigm and stakeholder integration

Firms are under pressure to invest in environmental management systems (EMSs) to reduce the environmental impacts of their activities. Many advocates of EMS adoption promote the idea of ‘win–win’ gains, where improvements in environmental performance are accompanied by financial rewards. The empirical evidence on this is mixed and suggests that the' right' conditions must exist within the firm for genuine environmental performance gains to materialize. The paper uses a survey of 129 Spanish manufacturing firms to investigate managerial perceptions about what these right conditions might be. Results indicate that enhanced environmental performance following EMS adoption is linked to managers' belief in the win–win paradigm, and that managers who adhere to the win–win story also tend to integrate other stakeholder demands into their business strategies. Policy implications conclude the paper. Copyright © 2007 John Wiley & Sons, Ltd and ERP Environment.     

Hostile–vs.–white‐knight bidders

We examine the hypothesis that white knights enter control contests to spend free cash flow instead of paying it out to shareholders. Tobin's q is used to measure management's inclination to invest in negative NPV investments. We find that historically, white knights have over‐invested and their acquisition of the target is one more negative NPV investment. Alternatively, hostile bidders’ past investment decisions have increased shareholder wealth. Furthermore, white knights’ returns upon the announcement of their bid have a significant negative relationship with free cash flow, implying that their bid reveals information about white knights management's investment decisions. Copyright © 1999 John Wiley & Sons, Ltd.     

Bayesian Analysis in the <Emphasis Type="Italic">L</Emphasis><Superscript>1</Superscript>-Norm of the Mixing Proportion Using Discriminant Analysis

We consider the mixing proportion π in a mixture of two independent distributions, and establish the expression of its posterior density, in closed form and in terms of L ¹-norms of various related functions, using a prior beta and the optimal classification rule for the two populations provided by Discriminant analysis. A numerical example fully illustrates the concepts presented.Research partially supported by CRSNG 9249 (Canada). The authors wish to thank the Faculty of Science and the Department of Statistics of UNISA for their generous support that has led to this joint work. Also, thanks to Ms. Jeannette LeBlanc for her excellent technical support, and to an anonymous referee for very helpful comments that have helped to improve the presentation of the paper.     

Obtaining legacies ‘face-to-face’

This paper is a general overview on how to obtain legacies. It must be remembered that the element of legacy fundraising which involves face-to-face techniques is the culmination of a properly organised and researched campaign, and cannot in any circumstances be done without a great deal of other essential preparatory work. Legacies account for nearly a half of all voluntary income in the UK, yet even now very few charities have developed a really effective all round legacy campaign integrated into their overall fundraising strategy. This paper is an attempt to give some insight into this potentially important income stream and is designed to give every fundraiser some helpful ideas, whether working for a large established national charity or a very small, local, recently formed voluntary group.     

The Network‐Performance Relationship in Knowledge‐Intensive Contexts—A Meta‐Analysis and Cross‐Level Comparison

This study examines the generalizability of the network‐performance relationship across individual and group levels, focusing on knowledge‐intensive contexts. Drawing on a meta‐analytical approach, we synthesize the results of 102 empirical studies to test whether network characteristics such as centrality, brokerage, and tie strength similarly influence the job performance of individuals and groups. Results show that while there are no differences in the direction of the network‐performance relationship across levels, there are substantial differences in magnitude. Individual performance profits more strongly from a high number of direct connections, whereas groups reap higher benefits from brokerage positions. Additional analyses reveal that the network measurement method, tie content, and performance criteria function as moderators of the network performance relationship, but their influence is consistent neither across network characteristics nor across levels. By meta‐analytically comparing and contrasting the network‐performance relationship for individuals and groups, we contribute to multilevel research on networks and organizations. Particularly, we move toward the development of a multilevel homology theory of networks. Implications for theory, practice, and future research are discussed. © 2017 Wiley Periodicals, Inc.