Redirigiendo al acceso original de articulo en 22 segundos...
Inicio  /  Nauka ta Progres Transportu  /  Núm: 28 Par: 0 (2009)  /  Artículo
ARTÍCULO
TITULO

THE CONCEPT OF REGIONAL INNOVATION PROJECTS MANAGEMENT

R. V. Savchuk    

Resumen

In the paper the basic stages of a new conception of management for regional projects based upon the principles of indicative management and the decision-making models. The conception is based on the peculiarities of regional level of project management revealed by the author.

Palabras claves

PÁGINAS
pp. 163 - 166
MATERIAS
INFRAESTRUCTURA
REVISTAS SIMILARES
Water
Future Internet
Buildings

 Artículos similares

       
 
Jiahui Zhao, Zhibin Li, Pan Liu, Mingye Zhang     Pág. 115 - 142
Demand prediction plays a critical role in traffic research. The key challenge of traffic demand prediction lies in modeling the complex spatial dependencies and temporal dynamics. However, there is no mature and widely accepted concept to support the so... ver más

 
Anestis Kousis and Christos Tjortjis    
In recent years, the emergence of the smart city concept has garnered attention as a promising innovation aimed at addressing the multifactorial challenges arising from the concurrent trends of urban population growth and the climate crisis. In this stud... ver más
Revista: Future Internet

 
Timothy Nyerges, John A. Gallo, Keith M. Reynolds, Steven D. Prager, Philip J. Murphy and Wenwen Li    
Improving geo-information decision evaluation is an important part of geospatial decision support research, particularly when considering vulnerability, risk, resilience, and sustainability (V-R-R-S) of urban land?water systems (ULWSs). Previous research... ver más

 
Javid Misirli and Emiliano Casalicchio    
The Internet of Things (IoT) uptake brought a paradigm shift in application deployment. Indeed, IoT applications are not centralized in cloud data centers, but the computation and storage are moved close to the consumers, creating a computing continuum b... ver más
Revista: Future Internet

 
Ying-Hsun Lai, Shin-Yeh Chen, Wen-Chi Chou, Hua-Yang Hsu and Han-Chieh Chao    
Federated learning trains a neural network model using the client?s data to maintain the benefits of centralized model training while maintaining their privacy. However, if the client data are not independently and identically distributed (non-IID) becau... ver más
Revista: Future Internet