Advanced

Talent forecasting sett utifrån MOA-modellen

Johannesson, Emma LU and Skogsborg, Jacob LU (2017) PSYK11 20171
Department of Psychology
Abstract
The thesis covers the relatively new area, talent forecasting, and how this work method has become an increasingly important tool in society where the demand for work possibilities increases. This leads to an increased need in knowledge and competence within society as well as in companies. Talent forecasting can be described as a work task with the purpose to predict what's coming, a forecast that can measure performance. The motivation, opportunity and ability, (MOA)-model, aim to explain the underlying factors regarding performance. The purpose with this thesis is to seek insight in the work with talent forecasting, more specific is the intention to investigate what the producers of talent forecasting think about their work activities.... (More)
The thesis covers the relatively new area, talent forecasting, and how this work method has become an increasingly important tool in society where the demand for work possibilities increases. This leads to an increased need in knowledge and competence within society as well as in companies. Talent forecasting can be described as a work task with the purpose to predict what's coming, a forecast that can measure performance. The motivation, opportunity and ability, (MOA)-model, aim to explain the underlying factors regarding performance. The purpose with this thesis is to seek insight in the work with talent forecasting, more specific is the intention to investigate what the producers of talent forecasting think about their work activities. This is done via the MOA-model and the factors prediction with their own estimated performance. The method used is a quantitative one and a survey was distributed to the sample. The results show that the participants are quite motivated and somewhat lack opportunity and ability to make the talent forecast. These variables as predictors in a multiple regression shows that motivation is the most contributing factor and opportunity barely contributes at all. (Less)
Please use this url to cite or link to this publication:
author
Johannesson, Emma LU and Skogsborg, Jacob LU
supervisor
organization
course
PSYK11 20171
year
type
M2 - Bachelor Degree
subject
keywords
MOA-model, talent forecasting, motivation, opportunity, ability, performance.
language
Swedish
id
8918572
date added to LUP
2017-07-05 09:30:01
date last changed
2017-07-05 09:30:01
@misc{8918572,
  abstract     = {The thesis covers the relatively new area, talent forecasting, and how this work method has become an increasingly important tool in society where the demand for work possibilities increases. This leads to an increased need in knowledge and competence within society as well as in companies. Talent forecasting can be described as a work task with the purpose to predict what's coming, a forecast that can measure performance. The motivation, opportunity and ability, (MOA)-model, aim to explain the underlying factors regarding performance. The purpose with this thesis is to seek insight in the work with talent forecasting, more specific is the intention to investigate what the producers of talent forecasting think about their work activities. This is done via the MOA-model and the factors prediction with their own estimated performance. The method used is a quantitative one and a survey was distributed to the sample. The results show that the participants are quite motivated and somewhat lack opportunity and ability to make the talent forecast. These variables as predictors in a multiple regression shows that motivation is the most contributing factor and opportunity barely contributes at all.},
  author       = {Johannesson, Emma and Skogsborg, Jacob},
  keyword      = {MOA-model,talent forecasting,motivation,opportunity,ability,performance.},
  language     = {swe},
  note         = {Student Paper},
  title        = {Talent forecasting sett utifrån MOA-modellen},
  year         = {2017},
}