Review of artificial intelligence applied in decision-making processes in agricultural public policy
JM Sánchez, JP Rodríguez, HE Espitia - Processes, 2020 - mdpi.com
The objective of this article is to review how Artificial Intelligence (AI) tools have helped the
process of formulating agricultural public policies in the world. For this, a search process …
process of formulating agricultural public policies in the world. For this, a search process …
Configuration paths to efficient national innovation ecosystems
V Prokop, P Hajek, J Stejskal - Technological Forecasting and Social …, 2021 - Elsevier
Abstract Efficient National Innovation Ecosystems (NIEs) create appropriate conditions for
the generation of new knowledge, collaboration, and innovation, which are key determinants …
the generation of new knowledge, collaboration, and innovation, which are key determinants …
[HTML][HTML] Innovation level and local development of EU regions. A new assessment approach
K Szopik-Depczyńska, K Cheba, I Bąk… - Land Use Policy, 2020 - Elsevier
The main purpose of the study is to present a new approach to comparing EU regions
according to their level of innovation. For many years, different organizations have published …
according to their level of innovation. For many years, different organizations have published …
Cognitive fuzzy-logic modeling tools to develop innovative process management procedures for scientific-industrial clusters
AE Zaenchkovski, EA Kirillova… - … and Systems Research …, 2020 - Springer
Making informed decisions at the strategic level is rather complicated and requires a
methodological and instrumental base due to the substantial size and heterogeneity of …
methodological and instrumental base due to the substantial size and heterogeneity of …
The role of foreign technologies and R&D in innovation processes within catching-up CEE countries
Prior research showed that there is a growing consensus among researchers, which point
out a key role of external knowledge sources such as external R&D and technologies in …
out a key role of external knowledge sources such as external R&D and technologies in …
Making the right business decision: Forecasting the binary NPD strategy in Chinese automotive industry with machine learning methods
X Wang, D Zeng, H Dai, Y Zhu - Technological Forecasting and Social …, 2020 - Elsevier
The new product development (NPD) is crucial to firms' survival and success. Tough
decisions must be made between the binary NPD strategy (ie incremental NPD strategy and …
decisions must be made between the binary NPD strategy (ie incremental NPD strategy and …
Analyzing the root of regional innovation performance in the European territory
Purpose Regional innovation performance is an important indicator for decision-making
regarding the implementation of policies intended for regional development. However …
regarding the implementation of policies intended for regional development. However …
Using deep learning neural networks to predict the knowledge economy index for developing and emerging economies
AR Andres, A Otero, VH Amavilah - Expert Systems with Applications, 2021 - Elsevier
Missing values and the inconsistency of the measures of the knowledge economy remain
vexing problems that hamper policy-making and future research in developing and …
vexing problems that hamper policy-making and future research in developing and …
Predicting an ICT business process innovation as a digital transformation with machine learning techniques
As digital transformation accelerates worldwide, ICT innovation capabilities are attracting
attention as the core competitiveness of companies. However, ICT technologies evolve …
attention as the core competitiveness of companies. However, ICT technologies evolve …
Forecasting movie box office profitability
M Galvão, R Henriques - Journal of Information Systems …, 2018 - jisem-journal.com
This study intends to estimate the profit of a movie through the construction of a predictive
model that uses several Data Mining techniques, namely neural networks, regression and …
model that uses several Data Mining techniques, namely neural networks, regression and …