Redirigiendo al acceso original de articulo en 20 segundos...
ARTÍCULO
TITULO

Information Systems for Useful Innovation in Enterprises. Editorial Introduction to Issue 37 of CSIMQ

Emanuele Laurenzi    

Resumen

Innovation contributes to the economic and societal growth of nations, it creates new jobs, new business models, and new revenue streams as well as allows for the resolution of ever-evolving human needs. Enterprises that aim to thrive in the market must allocate resources and time to innovate besides the usual productivity focus. Innovating, however, is a very challenging task because it requires a high level of knowledge and creativity. Digital transformation (DT), in turn, is the process of adoption and use of digital technologies by an enterprise and sets the scenes for innovation. Further, to be useful for enterprises, innovation solutions should be incorporated into well-established company realities, which is a grand challenge nowadays. Methodological approaches are essential to tackle such a grand challenge. The Information Systems (IS) discipline, which is continuously involved in building its research knowledge base that is relevant to practice, is at the forefront for the creation of methodological approaches for useful innovation in enterprises, which is the central theme of this issue of CSIMQ.

 Artículos similares

       
 
Jose M. Bernal-de-Lázaro     Pág. 74 - 81
This article summarizes the main contributions of the PhD thesis titled: "Application of learning techniques based on kernel methods for the fault diagnosis in Industrial processes". This thesis focuses on the analysis and design of fault diagnosis syste... ver más

 
Samuel Fernando Adami, Ricardo Marques Coelho, Márcio Koiti Chiba, Jener Fernando Leite de Moraes (Author)     Pág. 433 - 440
This paper presents the results of integrated environmental analysis of the Ribeirão do Pinhal drainage basin, undertaken with geographic information systems and spatial analysis techniques. The empirical analysis of environmental fragility methodology w... ver más

 
Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete, Francisco J. Ribadas-Pena and Néstor Bolaños    
In the context of academic expert finding, this paper investigates and compares the performance of information retrieval (IR) and machine learning (ML) methods, including deep learning, to approach the problem of identifying academic figures who are expe... ver más
Revista: Algorithms

 
Martin Wynn and Christian Weber    
The development and implementation of information systems strategy in multi-national corporations (MNCs) faces particular challenges?cultural differences and variations in work values and practices across different countries, numerous technology landscap... ver más
Revista: Information

 
Christian Bonnici West and Simon Grima    
The richness and complexity of consent present challenges to those aiming to make related contributions to computer information systems (CIS). This paper aims to support consent-related research in CIS by simplifying the understanding of existing literat... ver más
Revista: Information