Adolescents’ Narratives of Schadenfreude

This study explored the experiential determinants of schadenfreude, how schadenfreude changes as a function of relationship, and how recollections of schadenfreude may vary by age. Using a narrative approach, 12‐ and 15‐year‐olds (N = 60) described times they felt schadenfreude toward various peers and adults. We coded their responses to extract information regarding preceding misfortunes and underlying reasons for schadenfreude. We found that adolescents' schadenfreude often involved another’s physical harm and failure, and was rooted in reasons of deservingness and personal gain. There were unique trends in the types of misfortunes and reasons mentioned toward each target of interest. Finally, deservingness reasoning was prominent within 15‐year‐olds’ schadenfreude experiences. The findings are discussed in relation to adolescents’ emotional experiences in conflict situations.     

Muslims in Harmony and Conflict in Plural Sri Lanka: A Historical Summary from a Religio-economic and Political Perspective

Islam and Muslims in Sri Lanka have a history of more than a millennium. During this long period their economic and religious experience had been one of fluctuating fortunes beginning with harmony and prosperity under Buddhist monarchs to repression and misery under Western colonialists. Economic freedom under native rulers, mercantilist restrictions under the Portuguese and Dutch and open economy under the British brought alternative episodes of economic affluence and depression to Muslims. After independence, however, under a democratic polity the community adopted a pragmatic approach to a new situation, which allowed Muslims and Islam to enjoy once again decades of peaceful coexistence and relative prosperity, until political and economic circumstances of the country changed dramatically to create an environment of anti-Muslim and anti-Islam phobia. What follows is a historical narration of these vicissitude retold from a religio-economic and political perspective.     

Rural Latino Youth Career Development: An Application of Social Cognitive Career Theory

This study used social cognitive career theory (Lent, Brown, & Hackett, 1994 ) to investigate the career development of 9th‐grade students living in 2 rural communities with large numbers of Latino immigrants. Participants (55.3% Latino) responded to measures of vocational skills self‐efficacy, career decision outcome expectations, career aspirations, and barriers to postsecondary education. Contrary to previous findings, results indicated that Latino students in these communities reported higher self‐efficacy beliefs than did White students. Latino students also reported higher perceived barriers, but this did not seem to relate to their career aspirations. Results suggest that school and career counselors should focus on programming that attends to Latino students' self‐efficacy and outcome expectations, as well as efficacy for overcoming barriers. Doing so could prove useful for increasing career achievement among rural Latino youth.     

Simple Collective Identity Functions

A Collective Identity Function (CIF) is a rule which aggregates personal opinions on whether an individual belongs to a certain identity into a social decision. A simple CIF is one which can be expressed in terms of winning coalitions. We characterize simple CIFs and explore various CIFs of the literature by exploiting their ability of being expressed in terms of winning coalitions. We also use our setting to introduce conditions that ensure the equal treatment of individuals as voters or as outcomes.     

喀喇汗王朝古都巴拉沙衮考

本文根据国内外学者的研究成果,指出现楚河南部的布拉纳废墟就是喀喇汗王朝古都巴拉沙衮所在地.同时对巴拉沙衮一词的词源提出了全新的见解.     

Thirty years of the Three Worlds of Welfare Capitalism: A review of reviews

In the 30 or so years since the publication of Gosta Esping-Andersenapos;s Three Worlds of Welfare Capitalism a number of rival welfare state typologies have emerged. This article has two broad aims. First, we review the reviews of welfare state typologies, pointing to issues of often unclear case selection and a wide range of concepts, variables, and methods, resulting in a variety of worlds of welfare and their constituent nations. We show that there is a great variety in the welfare modelling business at two different levels. Reviews vary significantly in terms of the number and composition of included studies, which has made it difficult to sum up the “state of the art.” Individual studies included in the reviews also vary significantly in terms of issues such as aims, concepts, variables, and methods. Second, we produce a new review, which adds value as it is based on a clearer search strategy, and includes more recent material that was not available in earlier reviews. This finds that there is a great variety in terms of process (concepts, variables, methods, and number of countries) and findings (the number and composition of “worlds”). We argue that the country classification seems to show less consensus that previous reviews, with fewer “pure” nations (i.e., agreement between studies). We suggest that in order to provide a clear point of engagement, future reviews need to pay more attention to a clear and explicit search strategy, including issues such as inclusion criteria.     

Evaluating barriers to implementing green supply chain management: An example from an emerging economy

Abstract

This study proposes a fuzzy-based VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) framework for evaluating barriers to implementing green supply chain management (GSCM) in the context of an emerging economy. The methodology uses a mix method approach combining literature review and opinions of some selected managers from the plastic industry of Bangladesh to identify four main-barriers and twenty-five sub-barriers relevant to GSCM implementation. Fuzzy-VIKOR approach was applied to aid in the analysis of the barriers in the plastic industry of Bangladesh. The findings of the study show the order/rank of intensity and severity of the main-barriers to implementing GSCM practices in the plastic industry of Bangladesh as follows: ‘inadequate knowledge and support’, ‘insufficient technology and infrastructure’, ‘financial constraints and unsupportive organizational’ and ‘operational policies’. The results also show the rankings of the sub-barriers under each main barriers. This research contributes to the literature in a number of ways. First, it identifies multi-levels of barriers to GSCM implementation. Secondly, it identifies and proposes alternative action plans (strategies) to help mitigate and implement GSCM practices. Though this study has significant contributions, a number of limitations do exist. The barriers in this study were identified using the extant literature review and industrial managers’ opinions. A more scientific approach and empirical validation is required, especially in the plastic manufacturing industry of Bangladesh to identify more new challenging barriers. However, this study can provide managers with a better understanding of the barriers to implementing GSCM practices and motivate the researchers to further extend the investigation on the insights for developing strategic plans for implementing GSCM practices in the plastic industry of Bangladesh.     

Particle swarm optimization-based variable selection in Poisson regression analysis via information complexity-type criteria

Modeling of count responses is widely performed via Poisson regression models. This paper covers the problem of variable selection in Poisson regression analysis. The basic emphasis of this paper is to present the usefulness of information complexity-based criteria for Poisson regression. Particle swarm optimization (PSO) algorithm was adopted to minimize the information criteria. A real dataset example and two simulation studies were conducted for highly collinear and lowly correlated datasets. Results demonstrate the capability of information complexity-type criteria. According to the results, information complexity-type criteria can be effectively used instead of classical criteria in count data modeling via the PSO algorithm.     

Design of a sign chart using a new EWMA statistic

Abstract

In this article, a new non parametric control chart based on the modified or controlled exponentially weighted moving average (EWMA) statistic is developed to monitor the process deviation from the target value. The proposed control chart is evaluated for different values of design parameters using the average run length as a performance criterion under various sample sizes. The proposed chart is compared with the existing non parametric EWMA sign control chart. It is observed that the proposed chart is better than the existing EWMA sign control chart in terms of run length characteristics. An empirical example is provided for the practical implementation of the proposed chart.