Português
Ciência-IUL
Publications
Publication Detailed Description
Predictive models for managing financial incentives oriented to companies: Application to Portugal 2020
2021 16th Iberian Conference on Information Systems and Technologies (CISTI)
Year (definitive publication)
2021
Language
English
Country
United States of America
More Information
Web of Science®
Scopus
Google Scholar
Abstract
Since Portugal joined the European Union (EU) that it has been receiving incentives/funds to reduce disparities with other EU countries. Despite this goal, disparities between European regions still exist and the impact of such funds is questionable. What if it is possible to predict the success of such incentives when the funds are awarded to the beneficiaries? Using data from the database of The Agency for Competitiveness and Innovation (IAPMEI), for the programs National Strategic Reference Framework (QREN), and Portugal 2020, two predictive models are developed to estimate the number of applications to be received and the schedule of expected payments to beneficiaries for a four-month period. The results allow for a better prediction, on one hand, of the resources to be allocated to the evaluation process of the applications, and on the other hand, of the financial execution plan for the upcoming period, in order to prepare the financial execution.
Acknowledgements
--
Keywords
Financial incentives,Forecast
Fields of Science and Technology Classification
- Computer and Information Sciences - Natural Sciences
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| UID/GES/00315/2020 | Fundação para a Ciência e a Tecnologia |
| UIDP/04466/2020 | Fundação para a Ciência e a Tecnologia |
| UIDB/04466/2020 | Fundação para a Ciência e a Tecnologia |
Related Projects
This publication is an output of the following project(s):
Contributions to the Sustainable Development Goals of the United Nations
With the objective to increase the research activity directed towards the achievement of the United Nations 2030 Sustainable Development Goals, the possibility of associating scientific publications with the Sustainable Development Goals is now available in Ciência-IUL. These are the Sustainable Development Goals identified by the author(s) for this publication. For more detailed information on the Sustainable Development Goals, click here.
