Multiple belongings: transnational mobility,social class,and gendered identities among Polish migrants in Norway

ABSTRACT

Using ethnographic research in Norway and in Poland, this article focuses on the dynamics of multiple belongings of Polish migrants. It explores their experiences of belonging in relation to social class, gendered identities, and their different strategies of transnational mobility between Poland and Norway. By approaching belonging ‘from below’, we posit that it is a dynamic, processual, and socially and culturally constructed attachment to places, times, and communities, which includes experiential, practical, and affective dimensions. Considering the importance of questions of belonging and home-making in migrants’ lives, always contextually produced and read through performative reiterations, we focus on migrants’ daily routines and migratory practices, and argue that belonging is a multifaceted process, which takes on diverse forms and meanings of ‘who’ belongs to ‘what’, ‘where’ and ‘when’. Following intersectional perspective, the article aims at problematizing dependencies between mobility, gender, class, and migrants’ multiple belongings, and thereby, enhancing the understanding of the notion of belonging and its embeddedness in the inter-related social, cultural, economic, and political realms.     

A Non‐parametric ANOVA‐type Test for Regression Curves Based on Characteristic Functions

This article studies a new procedure to test for the equality of k regression curves in a fully non‐parametric context. The test is based on the comparison of empirical estimators of the characteristic functions of the regression residuals in each population. The asymptotic behaviour of the test statistic is studied in detail. It is shown that under the null hypothesis, the distribution of the test statistic converges to a finite combination of independent chi‐squared random variables with one degree of freedom. The coefficients in this linear combination can be consistently estimated. The proposed test is able to detect contiguous alternatives converging to the null at the rate n ^{? 1 ∕ 2}. The practical performance of the test based on the asymptotic null distribution is investigated by means of simulations.     

Local Weighted Average Estimation of the Regression Operator for Functional Data

We are concerned with the problem of local weighted average estimation of the regression operator when the responses are real-valued random variables, the explanatory data are of functional fixed-design type, and the errors consist of an independent and identically distributed variables. In this article, our main contributions on the local linear functional estimation concern from one part, the situation when the data are of functional fixed-design kind, and from the other part, in deriving uniform asymptotic results on the behavior of this estimator with respect to the topological properties of the space data (normed or semi-metric).     

Benefits of adopting lean production on green performance of SMEs: a case study

Abstract

Small- and medium-sized enterprises (SMEs) are widely recommended to strive, not only for their performance in operational side, but they need to integrate the environmental dimension. To do that, the literature widely indicates a positive impact of lean practices on green performance. However, very few studies have been carried out in SMEs context. In this view, this paper aims at providing through a practical case study of lean implementation in a real-life small manufacturing company, the information to confirm this synergy between lean and green performance. To achieve this aim, a proposed framework of lean and green integration has been implemented in a SME producing different types of pumps. The results achieved shows that there is a strong correlation between operational metrics improvement and green metrics improvement. Moreover, the benefits of lean practices such as 5S, Kanban, SMED, AM, cellular manufacturing and quality control on green performance are widely demonstrated. Future work could study other processes and explore other case-specific supporting tools and techniques.     

Rural Telephone Company Adoption of Service Innovations: A Community Field Theory Approach*

Abstract Recent telecommunications innovations have the potential to improve the economic vitality of rural communities, but many rural telephone companies have not adopted them to provide needed advanced services. To explain the differences in adoption by rural telephone companies we distinguish between service innovations, adopted primarily to improve direct services to clients, and operations innovations, adopted primarily to improve the operation of the business. Using community interaction field theory we develop and test a conceptual framework for the adoption of innovative service telecommunications technologies by Iowa rural telephone companies. As field theory predicts, involvement in local economic development activities has a strong, direct effect on innovativeness. Results suggest that the service and operations innovations distinction has theoretical utility in explaining organizational innovativeness.     

The Worker Role Interview: a powerful tool in Icelandic work rehabilitation

A pilot-study using the Worker Role Interview (WRI) was conducted to gather information from clients attending a work- rehabilitation program in an Icelandic psychiatric center. The work rehabilitation program traditionally used a performance-capacity-oriented assessment (PCA) to evaluate work readiness. Clients scoring 90% or higher on the PCA were considered able to re-enter the job market. However, scoring over 90% did not result in automatic return to work for the majority of clients. As a result, many questions were proposed about the effectiveness of the PCA to predict client ability to re-enter the work force. A pilot study using the Worker Role Interview was conducted with an aim to gain insight into what barriers prevented clients from entering the work force. Ten clients scoring 90% or over on the PCA were interviewed using the WRI. Qualitative methods were used to analyze the data. Results from the WRI indicated that clients failed to join the work force due to a number of psychosocial factors, such as lack of personal causation and self-efficacy combined with environmental factors. The WRI provided clients with an opportunity to express their attitudes and opinions towards work. Information gained through the WRI also gave new direction in goal setting for the work rehabilitation program and validated the need to expand occupational therapy services.     

Crea-Space — eine Methode zur Entwicklung des kreativen Potenzials in Teams und größeren Gruppen

Crea-space — a method to develop the creative potentials in teams and larger groups Crea-Space is a kind of group-intervention, suitable for mid-size groups. The technique is derived from Open Space and offers an instrument to generate creativity in the process of elaborating future-visions. The technique consists of five steps, step one to four provide a frame for opening up the creative potential of the group, the fifth is a commitment for the next steps towards realization of the creative ideas.     

Linear censored quantile regression: A novel minimum-distance approach

In this article, we investigate a new procedure for the estimation of a linear quantile regression with possibly right-censored responses. Contrary to the main literature on the subject, we propose in this context to circumvent the formulation of conditional quantiles through the so-called “check” loss function that stems from the influential work of Koenker and Bassett (1978). Instead, our suggestion is here to estimate the quantile coefficients by minimizing an alternative measure of distance. In fact, our approach could be qualified as a generalization in a parametric regression framework of the technique consisting in inverting the conditional distribution of the response given the covariates. This is motivated by the knowledge that the main literature for censored data already relies on some nonparametric conditional distribution estimation as well. The ideas of effective dimension reduction are then exploited in order to accommodate for higher dimensional settings as well in this context. Extensive numerical results then suggest that such an approach provides a strongly competitive procedure to the classical approaches based on the check function, in fact both for complete and censored observations. From a theoretical prospect, both consistency and asymptotic normality of the proposed estimator for linear regression are obtained under classical regularity conditions. As a by-product, several asymptotic results on some “double-kernel” version of the conditional Kaplan–Meier distribution estimator based on effective dimension reduction, and its corresponding density estimator, are also obtained and may be of interest on their own. A brief application of our procedure to quasar data then serves to further highlight the relevance of the latter for quantile regression estimation with censored data.     

Tests for stochastic ordering under biased sampling

In two-sample comparison problems it is often of interest to examine whether one distribution function majorises the other, that is, for the presence of stochastic ordering. This paper develops a nonparametric test for stochastic ordering from size-biased data, allowing the pattern of the size bias to differ between the two samples. The test is formulated in terms of a maximally selected local empirical likelihood statistic. A Gaussian multiplier bootstrap is devised to calibrate the test. Simulation results show that the proposed test outperforms an analogous Wald-type test, and that it provides substantially greater power over ignoring the size bias. The approach is illustrated using data on blood alcohol concentration of drivers involved in car accidents, where the size bias is due to drunker drivers being more likely to be involved in accidents. Further, younger drivers tend to be more affected by alcohol, so in making comparisons with older drivers the analysis is adjusted for differences in the patterns of size bias.