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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Motivationsfaktorer och avsikt att byta arbete : En kvantitativ studie om sambandet mellan Herzbergs motivationsfaktorer och förtroendevalda kommunrevisorers avsikt att byta arbete / Motivational factors and turnover intention : A quantitative study of the relationship between Herzberg's motivational factors and turnover intention among elected municipal auditors

Andersson, Jenny, Ärlig, Johanna January 2022 (has links)
Personalomsättning är ett vanligt förekommande problem inom revisionsbranschen. För att förutsäga personalomsättning kan avsikt att byta arbete undersökas. Styrkan i en individs avsikt att byta arbete är en indikation på hur sannolikt det är att individen faktiskt kommer att sluta. Den teori som tillämpats i uppsatsen är Herzbergs tvåfaktorsteori, med fokus på motivationsfaktorerna. Motivationsfaktorerna ansvar, prestationer, bekräftelse, arbetet i sig och utvecklingsmöjligheter är de som skapar tillfredsställelse med arbetet om de finns, men som inte medför missnöje med arbetet om de inte finns. Syfte: Uppsatsen syftar till att bidra med ytterligare kunskap på området kring motivation och en individs avsikt att byta arbete. Detta genom att genomföra en studie med fokus på att undersöka sambanden mellan Herzbergs motivationsfaktorer och förtroendevalda kommunrevisorers avsikt att byta arbete. Uppsatsen syftar även till att undersöka om dessa samband samt avsikten att byta arbete skiljer sig åt med avseende på bakgrundsvariablerna kön, ålder och utbildning. Metod: En kvantitativ metod med ett ändamålsenligt urval har tillämpats för uppsatsen. För datainsamling distribuerades en enkät via Google Formulär till förtroendevalda kommunrevisorer i Region A. För analys av data har korrelationsanalys samt hypotesprövning av Pearsons korrelationskoefficient genomförts, detta för att undersöka samband mellan avsikt att byta arbete och Herzbergs motivationsfaktorer. Därutöver har en multipel regressionsanalys genomförts för att undersöka motivationsfaktorernas påverkan på en individs avsikt att byta arbete. Resultat: Uppsatsens resultat visar signifikanta samband mellan förtroendevalda kommunrevisorers avsikt att byta arbete och motivationsfaktorerna ansvar, bekräftelse och arbetet i sig för samtliga respondenter. Sambandet är för alla dessa variabler negativt. För kvinnor, individer med gymnasieutbildning samt individer med minst treårig högskole-/universitetsutbildning föreligger inget signifikant samband för någon av motivationsfaktorerna. För män kan ett signifikant negativt samband ses för motivationsfaktorerna ansvar, prestationer, bekräftelse, utvecklingsmöjligheter och arbetet i sig. För individer med eftergymnasial utbildning finns ett signifikant negativt samband mellan avsikt att byta arbete och motivationsfaktorerna ansvar, bekräftelse och utvecklingsmöjligheter. Trots signifikanta samband kan det endast påvisas att motivationsfaktorn ansvar påverkar en individs avsikt att byta arbete, till följd av ett signifikant resultat i den multipla regressionsanalysen. Avsikten att byta arbete skiljer sig inte signifikant mellan individer med olika utbildningsnivå eller mellan olika kön. Slutsats: Uppsatsens resultat bidrar med ytterligare kunskap på ett område som redan är välstuderat genom att en ytterligare yrkeskategori och ett geografiskt område studerats. Resultaten kan användas som indikatorer för kommuner i Region A för att bättre kunna förstå, hantera och förebygga personalomsättning bland förtroendevalda kommunrevisorer. / Staff turnover is a common problem in the auditing industry. In order to predict staff turnover, turnover intention can be examined. The strength of the turnover intention is an indication of how likely it is that the individual will actually quit. The theory applied in the essay is Herzberg's two-factor theory, with a focus on the motivational factors. The motivational factors, responsibility, recognition, achievements, work itself, and growth, are those that create satisfaction with the work if they exist, but which do not lead to dissatisfaction with the work if they do not exist.  Purpose:  The thesis aims to examine the relationships between turnover intention and Herzberg's motivational factors. The thesis also aims to examine whether these relationships, and turnover intention, differs regarding the background variables gender, age and education.  Method:  A quantitative method with purposive sampling has been applied to the essay. For data collection, a survey was distributed via Google Formulär to elected municipal auditors in Region A. For analysis of data, a correlation analysis and hypothesis testing of Pearson's correlation coefficient has been performed, in order to examine the relationship between turnover intention and Herzberg's motivational factors. In addition, a multiple regression analysis has been performed to examine the influence of the motivational factors on turnover intention.  Results:  The results of the essay show that significant relationships can be seen between turnover intention and the motivational factors responsibility, confirmation and the work itself for all respondents. The relationship is negative for all these three variables. For women, individuals with upper secondary education and individuals with at least three years of college/university education, there is no significant relationship for any of the motivational factors. For men, a significant negative relationship can be seen for the motivational factors responsibility, performance, confirmation, growth, and the work itself. For individuals with post-secondary education, there is a significant negative relationship between turnover intention and the motivational factors responsibility, confirmation, and growth. Despite significant correlations, it can only be shown that the motivational factor responsibility affects turnover intention, as a result of a significant result in the multiple regression analysis. The turnover intention does not significantly differ regarding educational level or gender. Conclusion:  The results of the thesis contribute with additional knowledge in an area that has already been well studied, by studying an additional category of professions and another geographic area. The results can be used as indicators for municipalities in Region A, in order to better understand, manage and prevent turnover among elected municipal auditors.
2

Renda e gastos com educação de nível superior

Thomé, Francisco Augusto Seixas 31 May 2012 (has links)
Submitted by Francisco Augusto Seixas Thomé (francisco.thome@fgv.br) on 2013-01-03T21:38:35Z No. of bitstreams: 1 Thomé.pdf: 1674130 bytes, checksum: b3ec4566d7dfee1d5ea069cfedaa082a (MD5) / Approved for entry into archive by Vitor Souza (vitor.souza@fgv.br) on 2013-01-15T13:09:01Z (GMT) No. of bitstreams: 1 Thomé.pdf: 1674130 bytes, checksum: b3ec4566d7dfee1d5ea069cfedaa082a (MD5) / Made available in DSpace on 2013-02-04T18:21:25Z (GMT). No. of bitstreams: 1 Thomé.pdf: 1674130 bytes, checksum: b3ec4566d7dfee1d5ea069cfedaa082a (MD5) Previous issue date: 2012-05-31 / This study intends to verify how inelastic is the spending of money, with higher education in relation to the income. We found that families with higher income, spend more on that kind of education than those of lower. We observed also in Brazil, that as higher the incomes more is spent on high level education, but this correlation is inelastic, with an increase of 1,0% on the month income, carries 0,31% increase in monthly expenditure on tertiary education. In relation to the amount spent on education, the family income, we may observe that when the family income increases in certain geographic regions, a small part of it is reserved for high level education than in other regions, as we could verify. This suggests that families with high income levels, will not be affected when deciding to invest more in education to have a better quality of education compared to others. We may observe that among the brazilian regions, there are differences that often come from the number of residents and educational differences, usually in the same family. In families with higher income, we found often that part of this increase was forwarded to other activities, and this will not change so much its decision on investing in university education. It was verified that this occurs in the Southeast and South, because these locations revenue is above the national average and the number of residents per household is relatively lower. We also observed that in these regions the ratio of student is higher, confirming that they are the ones with better economic conditions and thus, they have better opportunity to invest in education. / O estudo em questão pretende verificar, o quão é inelástico o gasto com a educação de nível superior em relação à renda. Verificamos que os domicílios com maior renda há um gasto maior dos que os de menor renda. O que também foi verificado no Brasil é que, quanto maior a renda, maior é o gasto com educação de nível superior, porém esta correlação é inelástica, ou seja, com um aumento de 1,0% na renda mensal, acarreta 0,31% de aumento na despesa mensal com educação de nível superior. Quanto à proporção de gastos com educação na renda domiciliar, há evidências que com o aumento da renda em domicílios de certas Regiões Geográficas, há uma destinação de um percentual menor de sua renda para com os gastos em educação superior do que em outras regiões, conforme foi verificado. Isto leva a crer que em domicílios com um nível de renda maior, esta alteração de renda não influenciará tanto em sua decisão de investir mais em educação para ter um curso universitário de melhor qualidade de ensino. Pode-se observar que entre as regiões brasileiras, há diferenças que muitas vezes são oriundas da quantidade de moradores e diferenças educacionais, muitas vezes no próprio domicílio. Nos domicílios de maior renda, em um grande número de vezes, parte deste incremento de renda é alocada para outras atividades, pois isto não alterará em muito sua decisão relativa ao investimento no ensino superior. Foi verificado que isto ocorre nas Regiões Sudeste e Sul, pois nesses locais a renda é superior à média nacional e a quantidade de moradores por domicílio é relativamente menor. Observamos também que nestas regiões a relação de vagas por estudante é maior, corroborando que como são as regiões mais ricas, elas têm maior condição de investir na educação de nível superior.

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