Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/23666
Author(s): | Laureano, R. M. S. Trindade, G. Laureano, L. M. S. |
Editor: | Rocha, A., Gonçalves, R., Penalvo, F. G., & Martins, J. |
Date: | 2021 |
Title: | Predictive models for managing financial incentives oriented to companies: Application to Portugal 2020 |
Event title: | 16th Iberian Conference on Information Systems and Technologies, CISTI 2021 |
ISSN: | 2166-0727 |
ISBN: | 978-989-54659-1-0 |
DOI (Digital Object Identifier): | 10.23919/CISTI52073.2021.9476655 |
Keywords: | Financial incentives Forecast |
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. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | BRU-CRI - Comunicações a conferências internacionais ISTAR-CRI - Comunicações a conferências internacionais |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
conferenceobject_83004.pdf | Versão Aceite | 924,34 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.