3 resultados para Temporary work

em Digital Peer Publishing


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In developed countries, the transition from school to work has radically changed over the past two decades. It has become prolonged, complicated and individualized (Bynner et al., 1997; Walther et al., 2004). Young people used to transition directly from school to stable employment, or with a very short unemployed period. In many European countries, this situation has been changing since the eighties: overall youth unemployment has increased, and many young people experience long periods of unemployment, government training schemes and part-time or temporary jobs. In Japan, this change has taken a decade later to appear, becoming prevalent by the late nineties (Inui, 2003). The transiting process has become not only precarious for young people, but also difficult for society to precisely understand the risks and problems. Traditionally, we have been able to recognize young people's situation by a simple category: in education, employed, in training or unemployed. However, these categories no longer accurately represent young people's state. In Japan, most young people used to move from school directly to full-time employment through the new graduate recruitment system (Inui, 1993). Therefore, in official statistics such as the School Basic Survey, 'employed' includes only those who are in regular employment, while those who are in part-time or temporary work are covered by the categories 'jobless' and 'others'. However, with the increase in non-full-time jobs in the nineties, these categories have become less useful for describing the actual employment conditions of young people. Indeed, this is why, in the late of nineties, the Japanese Ministry of Education changed the category name from 'jobless' to 'others'.

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This article details the American experience of welfare reform, and specifically its experience instituting workfare programs for participants. In the United States, the term "welfare" is most commonly used to refer to the program for single mothers and their families, formerly called Aid to Families with Dependent Children (AFDC) and now, Temporary Assistance to Needy Families (TANF). In 1996, politicians "ended welfare as we know it" by fundamentally changing this program with the passage of the Personal Responsibility and Work Opportunity Reconciliation Act of 1996 (PRWORA). The principal focus of the 1996 reform is mandatory work requirements enforced by sanctions and strict time limits on welfare receipt. While PRWORA's emphasis on work is not new, the difference is its significant ideological and policy commitment to employment, enforced by time limits. When welfare reform was enacted, some of its proponents recognized that welfare offices would have to change in order to develop individualized workfare plans, monitor progress, and impose sanctions. The "culture" of welfare offices had to be changed from being solely concerned with eligibility and compliance to individual, intensive casework. In this article, I will discuss how implementing workfare programs have influenced the relationship between clients and their workers at the welfare office. I start by describing the burdens faced by offices even before the enactment of welfare reform. Local welfare offices were expected to run programs that emphasized compliance and eligibility at the same time as workfare programs, which require intensive, personal case management. The next section of the paper will focus on strategies welfare offices and workers use to navigate these contradictory expectations. Lastly, I will present information on how clients react to workfare programs and some reasons they acquiesce to workfare contracts despite their unmet needs. I conclude with recommendations of how to make workfare truly work for welfare clients.

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Person-to-stock order picking is highly flexible and requires minimal investment costs in comparison to automated picking solutions. For these reasons, tradi-tional picking is widespread in distribution and production logistics. Due to its typically large proportion of manual activities, picking causes the highest operative personnel costs of all intralogistics process. The required personnel capacity in picking varies short- and mid-term due to capacity requirement fluctuations. These dynamics are often balanced by employing minimal permanent staff and using seasonal help when needed. The resulting high personnel fluctuation necessitates the frequent training of new pickers, which, in combination with in-creasingly complex work contents, highlights the im-portance of learning processes in picking. In industrial settings, learning is often quantified based on diminishing processing time and cost requirements with increasing experience. The best-known industrial learning curve models include those from Wright, de Jong, Baloff and Crossman, which are typically applied to the learning effects of an entire work crew rather than of individuals. These models have been validated in largely static work environments with homogeneous work contents. Little is known of learning effects in picking systems. Here, work contents are heterogeneous and individual work strategies vary among employees. A mix of temporary and steady employees with varying degrees of experience necessitates the observation of individual learning curves. In this paper, the individual picking performance development of temporary employees is analyzed and compared to that of steady employees in the same working environment.