978-88-5518-461-8_23.pdf

In Labour Market, the issue of Sizing and Allocation is a discussed problem. In this study, this topic has been considered from a statistical point of view. Indeed, the choice to change the number of your team of employees in a business context needs a very accurate analysis. If for example a firm d...

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Γλώσσα:English
Έκδοση: Firenze University Press 2022
Διαθέσιμο Online:https://books.fupress.com/doi/capitoli/978-88-5518-461-8_23
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spelling oapen-20.500.12657-582332022-09-16T03:13:50Z Chapter Sizing & Allocation in Labour Market: business strategies and multivariate analysis Marletta, Andrea Labour Market Multivariate analysis Number of employees bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology::JHBC Social research & statistics In Labour Market, the issue of Sizing and Allocation is a discussed problem. In this study, this topic has been considered from a statistical point of view. Indeed, the choice to change the number of your team of employees in a business context needs a very accurate analysis. If for example a firm decides to launch a new product on the market, it could be necessary to recruit new resources. The proposed statistical approach aims to give some hints about the total number of employees analysing the features of the existing market and the territorial geography. From a statistical point of two techniques of multivariate analysis have been presented as exploratory tools. In the application, a Principal Component Analysis has been used to investigate the business environment after some qualitative interviews to the board of the company. In a second step, some different scenarios have been proposed to determine the exact number of new resources using a data hybridization technique including internal and external sources. Finally, the allocation of the new hired of the scenarios on the Italian territory has been achieved thanks to the construction of a territorial potential index. 2022-09-15T20:05:53Z 2022-09-15T20:05:53Z 2021 chapter ONIX_20220915_9788855184618_29 2704-5846 9788855184618 https://library.oapen.org/handle/20.500.12657/58233 eng Proceedings e report application/pdf Attribution 4.0 International 978-88-5518-461-8_23.pdf https://books.fupress.com/doi/capitoli/978-88-5518-461-8_23 Firenze University Press 10.36253/978-88-5518-461-8.23 10.36253/978-88-5518-461-8.23 bf65d21a-78e5-4ba2-983a-dbfa90962870 9788855184618 132 4 Florence open access
institution OAPEN
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language English
description In Labour Market, the issue of Sizing and Allocation is a discussed problem. In this study, this topic has been considered from a statistical point of view. Indeed, the choice to change the number of your team of employees in a business context needs a very accurate analysis. If for example a firm decides to launch a new product on the market, it could be necessary to recruit new resources. The proposed statistical approach aims to give some hints about the total number of employees analysing the features of the existing market and the territorial geography. From a statistical point of two techniques of multivariate analysis have been presented as exploratory tools. In the application, a Principal Component Analysis has been used to investigate the business environment after some qualitative interviews to the board of the company. In a second step, some different scenarios have been proposed to determine the exact number of new resources using a data hybridization technique including internal and external sources. Finally, the allocation of the new hired of the scenarios on the Italian territory has been achieved thanks to the construction of a territorial potential index.
title 978-88-5518-461-8_23.pdf
spellingShingle 978-88-5518-461-8_23.pdf
title_short 978-88-5518-461-8_23.pdf
title_full 978-88-5518-461-8_23.pdf
title_fullStr 978-88-5518-461-8_23.pdf
title_full_unstemmed 978-88-5518-461-8_23.pdf
title_sort 978-88-5518-461-8_23.pdf
publisher Firenze University Press
publishDate 2022
url https://books.fupress.com/doi/capitoli/978-88-5518-461-8_23
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