976 resultados para Business survey recruitment statistical agency


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Following earlier work looking at overall career difficulties and low economic rewards faced by graduates in creative disciplines, the paper takes a closer look into the different career patterns and economic performance of “Bohemian” graduates across different creative disciplines. While it is widely acknowledged in the literature that careers in the creative field tend to be unstructured, often relying on part-time work and low wages, our knowledge of how these characteristics differ across the creative industries and occupational sectors is very limited. The paper explores the different trajectory and career patterns experienced by graduates in different creative disciplinary fields and their ability to enter creative occupations. Data from the Higher Education Statistical Agency (HESA) are presented, articulating a complex picture of the reality of finding a creative occupation for creative graduates. While students of some disciplines struggle to find full-time work in the creative economy, for others full-time occupation is the norm. Geography plays a crucial role also in offering graduates opportunities in creative occupations and higher salaries. The findings are contextualised in the New Labour cultural policy framework and conclusions are drawn on whether the creative industries policy construct has hidden a very problematic reality of winners and losers in the creative economy.

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The recent change in funding structure in the UK higher education system has fuelled an animated debate about the role that arts and humanities (A&H) subjects play not only within higher education but more broadly in the society and the economy. The debate has engaged with a variety of arguments and perspectives, from the intrinsic value of A&H, to their contribution to the broader society and their economic impact, particularly in relation to the creative economy, through knowledge exchange activities. The paper argues that in the current debate very little attention has been placed on the role that A&H graduates play in the economy, through their work after graduation, and specifically in the creative economy. Using Higher Education Statistical Agency data, we analyse the performance of A&H graduates (compared with other graduates) and particularly explore how embedded they are with the creative economy and its associated industries. The results highlight a complex intersection of different subdisciplines of the A&H with the creative economy but also reveal the salary gap and unstable working conditions experienced by graduates in this field.

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The creative industries have attracted the attention of academics and policy makers for the complexity surrounding their development, supply-chains and models of production. In particular, many have recognised the difficulty in capturing the role that digital technologies play within the creative industries. Digital technologies are embedded in the production and market structures of the creative industries and are also partially distinct and discernible from it. This paper unfolds the role played by digital technologies focusing on a key aspect of its development: human capital. Using student micro-data collected by the Higher Education Statistical Agency (HESA) in the United Kingdom, we investigate the characteristics and location determinants of digital graduates. The paper deals specifically with understanding whether digital skills in the UK are equally embedded across the creative industries, or are concentrated in other sub-sectors. Furthermore, it explores the role that these graduates play in each sub-sector and their financial rewards. Findings suggest that digital technology graduates tend to concentrate in the software and gaming sub-sector of the creative industries but also are likely to be in embedded creative jobs outside of the creative industries. Although they are more likely to be in full-time employment than part-time or self-employment, they also suffer from a higher level of unemployment.

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In the last decades, research on knowledge economies has taken central stage. Within this broader research field, research on the role of digital technologies and the creative industries has become increasingly important for researchers, academics and policy makers with particular focus on their development, supply-chains and models of production. Furthermore, many have recognised that, despite the important role played by digital technologies and innovation in the development of the creative industries, these dynamics are hard to capture and quantify. Digital technologies are embedded in the production and market structures of the creative industries and are also partially distinct and discernible from it. They also seem to play a key role in innovation of access and delivery of creative content. This chapter tries to assess the role played by digital technologies focusing on a key element of their implementation and application: human capital. Using student micro-data collected by the Higher Education Statistical Agency (HESA) in the United Kingdom, we explore the characteristics and location patterns of graduates who entered the creative industries, specifically comparing graduates in the creative arts and graduates from digital technology subjects. We highlight patterns of geographical specialisation but also how different context are able to better integrate creativity and innovation in their workforce. The chapter deals specifically with understanding whether these skills are uniformly embedded across the creative sector or are concentrated in specific sub-sectors of the creative industries. Furthermore, it explores the role that these graduates play in different sub-sector of the creative economy, their economic rewards and their geographical determinants.

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Purpose– The purpose of this paper is to seek to assess whether online commercial panel volunteering can be segmented based on their motivations, using the volunteer functions inventor. The authors also investigate whether segments exist which differ in demographic characteristics.Design/methodology/approach– The authors survey 484 Australian online panel volunteers using a adapted version of the 30 item of the volunteer function inventory (VFI) scale developed by Clary et al. (1998). Data were analysed using confirmatory factor analysis (CFA) and cluster analysis, as well as ANOVA and χ2 test comparisons of demographics between clusters.Findings– CFA verifies that the VFI scale is suitable instrument to gauge online participants’ motivations. Cluster analysis produced a five-cluster solution, where respondents with low motivations overall comprised the largest grouping. Segments are interpreted by assessing the difference between the total sample average and the segment profile. The examination also identifies that the only demographic factor that varies across the five clusters is “respondents” employment status”.Research limitations/implications– Future research could explore if differences in segments result in differences in online participation. The high number or respondents with low motivations may explain the relatively high levels of churn that take place within online panels and as a result panel operators would need to continually attract new members. Further research could also investigate whether the levels of motivation change over time and if so what effect such variation would produce on respondents’ retention.Originality/value– Research on online panel respondents’ motivation is still limited and investigating online panellists’ motivation as volunteers is very important as it unveils, as in the study herein reported, that alternative types of respondents may be driven by different factors when joining an online panel (or completing a given survey). Recruitment strategies could, therefore, be shaped to suit the motivation of the different segments. By refining the matching between volunteers’ profiles and their motivation, managers could improve how volunteers are recruited, managed and retained.

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O enfoque da Nova Economia Institucional é utilizado no estudo de sistemas agroindustriais brasileiros, mas ainda há poucos trabalhos sobre as relações entre produtores rurais e indústrias processadoras. O objetivo deste estudo é aferir o alinhamento das características das transações com os modos de governança adotados na comercialização de borracha natural entre produtores rurais e indústrias de beneficiamento primário. Busca-se confrontar os resultados com as previsões da teoria da Economia dos Custos de Transação, que prevê a adoção da governança mais eficiente, contingenciada ao ambiente transacional. Esta pesquisa utiliza um enfoque pioneiro para o setor. A primeira parte consiste na exploração qualitativa das transações entre produtores rurais e usinas beneficiadoras e na descrição dos elementos que compõe o sistema agroindustrial da borracha natural no Estado de São Paulo. Os resultados desta etapa são utilizados para refinar as hipóteses da etapa quantitativa, que relacionam os modos de governança adotados aos investimentos em ativos específicos, como o plantio de seringueiras, à frequência, à incerteza e à assistência técnica associadas à transação. Os resultados, apesar das limitações devido ao tamanho pequeno da amostra, sugerem que a quantidade de borracha comercializada influi positivamente na adoção de modos de governança mais coordenados e que a recorrência das transações provavelmente está associada a contratos relacionais. A hipótese da endogeneidade é rejeitada.

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Nowadays, telecommunications is one of the most dynamic and strategic areas in the world. Organizations are always seeking to find new management practices within an ever increasing competitive environment where resources are getting scarce. In this scenario, data obtained from business and corporate processes have even greater importance, although this data is not yet adequately explored. Knowledge Discovery in Databases (KDD) appears then, as an option to allow the study of complex problems in different areas of management. This work proposes both a systematization of KDD activities using concepts from different methodologies, such as CRISP-DM, SEMMA and FAYYAD approaches and a study concerning the viability of multivariate regression analysis models to explain corporative telecommunications sales using performance indicators. Thus, statistical methods were outlined to analyze the effects of such indicators on the behavior of business productivity. According to business and standard statistical analysis, equations were defined and fit to their respective determination coefficients. Tests of hypotheses were also conducted on parameters with the purpose of validating the regression models. The results show that there is a relationship between these development indicators and the amount of sales

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Este artigo apresenta o modelo de referência para estruturar o Seis Sigma, o qual é resultante da incorporação de teorias que contribuem para aumentar o potencial estratégico do Seis Sigma no sentido de incrementar o desempenho organizacional. em sua proposta, o modelo de referência engloba um direcionamento sobre certos requisitos primordiais para o sucesso do programa Seis Sigma. A base teórica de sustentação do modelo de referência foi construída a partir de estudos sobre a influência dos seguintes fatores: orientação estratégica e alinhamento estratégico; medição e gerenciamento do desempenho organizacional; uso de estatística (pensamento estatístico); capacitação/especialização de pessoas; implementação e gerenciamento de projetos; e uso de tecnologia de informação. Complementando a proposição do modelo, o artigo traz evidências empíricas acerca da contribuição dos fatores identificados na formulação do modelo de referência, expondo resultados decorrentes de estudos de caso realizados em quatro subsidiárias brasileiras de multinacionais de grande porte. A análise dos dados forneceu evidências positivas de que os fatores mencionados influenciam de forma efetiva o sucesso e a consolidação do Seis Sigma nas empresas estudadas.

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In fluvial systems, the relationship between a dominant variable (e.g. flood pulse) and its dependent ones (e.g. riparian vegetation) is called connectivity. This paper analyzes the connectivity elements and processes controlling riparian vegetation for a reach of the upper Paraná River (Brazil) and estimates the future changes in channel-vegetation relationship as a consequence of the managing of a large dam. The studied reach is situated 30km downstream from the Porto Primavera Dam (construction finished in 1999). Through aerial photography (1:25,000, 1996), RGB-CBERS satellite imagery and a previous field botany survey it was possible to elaborate a map with the five major morpho-vegetation units: 1) Tree-dominated natural levee, 2) Shrubby upper floodplain, 3) Shrub-herbaceous mid floodplain, 4) Grass-herbaceous lower floodplain and 5) Shrub-herbaceous flood runoff channel units. By use of a detailed topographic survey and statistical tools each morpho-vegetation type was analyzed according to its connectivity parameters (frequency, recurrence, permanence, seasonality, potamophase, limnophase and FCQ index) in the pre- and post-dam closure periods of the historical series. Data showed that most of the morpho-vegetation units were predicted to present changes in connectivity parameters values after dam closing and the new regime could affect, in different intensity, the river ecology and particularly the riparian vegetation. The methods used in this study can be useful for dam impact studies in other South American tropical rivers. © 2012 Elsevier Ltd.

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The increasing rate of traffic accidents, followed by the high rate of mortality due to these occurrences, favored to the classification of traffic accidents as a public health problem in Brazil. These accidents consume a significant portion of Gross Domestic Product (GDP), especially related to the victims. Considering this scenery with many tragedies and resources being spent only in the end, this paper seeks to examine the influence of federal highways lighting by reducing the number of accidents. Federal Highways sections that received lighting were taken up for study, therefore a survey of statistical data has been raised considering the accidents before and after the route had been illuminated. Taking advantage of the results obtained, an economic analysis has been made considering the amounts consumed by traffic accidents versus the values required for the installation of lighting on highways

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To evaluate the oral health indicators by determining the experience of dental caries and periodontal disease and identification of self-perceived oral health status of pregnant adolescents and to assess the association between the studied variables. A transversal study, survey type and survey of the oral health status of 127 adolescents, 10-19 years of age, pregnant, accompanied by the Unified Health System of Araçatuba-SP was performed. The self-perceived oral health and socio-demographic data were recorded using an adapted questionnaire. The oral health statuses were analyzed using the DMFT and CPI indices in accordance with the criteria established by the WHO for epidemiological survey. Descriptive statistical analyzes and the Fisher's exact test with a significance level of 5% was performed, as well as a logistic regression analysis to verify the association between the variables. Of the total, 41.0% reported having satisfactory oral health, while 63.0% believed they had problems with their teeth and gums. The DMFT index was 12.51 (SD = 4.21). The percentage of caries-free was 6.3%, and 91.3% had periodontal problems. A statistically significant association was found between the variables: self-perceived oral health and periodontal disease p = 0.0166 and self-reported gum disease and periodontal disease p = 0.0039. Most patients considered their oral health as poor and reported having dental and gum problems, which can also be observed in the clinical examination since the caries experience of the pregnant women examined was considered high and the symptoms of periodontal disease were observed in most of the volunteers.

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This paper examines the effect of the decoupling of farm direct payments upon the off-farm labour supply decisions of farmers in both Ireland and Italy, using panel data from the Farm Business Survey (REA) and FADN database covering the period from 2002 to 2009 to model these decisions. Drawing from the conceptual agricultural household model, the authors hypothesise that the decoupling of direct payments led to an increase in off-farm labour activity despite some competing factors. This hypothesis rests largely upon the argument that the effects of changes in relative wages have dominated other factors. At a micro level, the decoupling-induced decline in the farm wage relative to the non-farm wage ought to have provoked a greater incentive for off-farm labour supply. The main known competing argument is that decoupling introduced a new source of non-labour income i.e. a wealth effect. This may in turn have suppressed or eliminated the likelihood of increased off-farm labour supply for some farmers. For the purposes of comparative analysis, the Italian model utilises the data from the REA database instead of the FADN as the latter has a less than satisfactory coverage of labour issues. Both models are developed at a national level. The paper draws from the literature on female labour supply and uses a sample selection corrected ordinary least squares model to examine both the decisions of off-farm work participation and the decisions regarding the amount of time spent working off-farm. The preliminary results indicate that decoupling has not had a significant impact on off-farm labour supply in the case of Ireland but there appears to be a significantly negative relationship in the Italian case. It still remains the case in both countries that the wealth of the farmer is negatively correlated with the likelihood of off-farm employment.

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This paper analyses the factors affecting off-farm labour decisions of Italian farm operators. Using micro-level data from the Farm Business Survey (REA) over the pre- and post-2003 CAP reform periods, we investigated the impact that operator, family, farm and market characteristics exert on these choices. Among other things, the paper focuses also on the differential impact of those variables for operators of smaller and larger holdings. The main results suggest that operator and family characteristics have a significant impact on the decision to participate in off-farm work more for smaller than for bigger farms. By contrast, farm characteristics are more relevant variables for bigger farms. In particular, decoupled farm payments, by increasing the marginal productivity of farm labour, lower the probability of working off the farm only in bigger farms, while coupled subsidies in pre-reform years do not have a significant impact on labour decisions. Finally, we show that, after accounting for the standard covariates, local and territorial labour market characteristics generally have a low effect on off-farm work operators’ choices.