Over the last few years, new technologies have appeared that have been applied in the industry, health, education and organizations in general, which has influenced the level of competitiveness between large corporations and small and medium enterprises (SMEs). This phenomenon is forcing traditional organizations to become intelligent organizations to remain in the market, since otherwise they tend to disappear. That way the virtual organizations (VOs) arise, which are dynamic temporary alliances of independent organizations, which are willing to collaborate to achieve common goals and can be geographically dispersed. Current VO investigations do not consider new technologies, especially those considered as part of the fourth industrial revolution called "Industry 4.0", because of that a new characterization for a fourth generation (VO4.0) is necessary, through a systematic review of the literature (SRL). This document characterizes a virtual fourth generation organization (VO4.0) in which five key factors were identified to classify the characteristics found.

A systematic literature review is a synthesis of the available evidence, in which a review of quantitative and qualitative aspects of primary studies is carried out, to summarize the existing information regarding a particular topic. The researchers extract key criteria from papers collected about their study area, answering research questions and conducting document analysis. Nonetheless, in some cases, these criteria are improperly justified, unknowing their true level of importance in the study subject. Hence, an additional study is necessary to explain the criteria relevance in the papers studied using qualitative and quantitative premises. The correct identification of these key criteria is a critical factor in prioritizing and achieving appropriate results in any scientific research work. In our paper, a new method to determine key criteria from a literature review is proposed, composed of three components: input-process-output. First, the inputs are a set of criteria to evaluate and a set of documents to analyze. Next, the process component examines the document set to indicate whether the criteria to be analyzed are found. The process component produces a Boolean matrix, which is the input of the mathematical logic process that will get the key criteria considered necessary and sufficient as the output component. The iKeyCriteria method has been applied in different computing domains, particularly for serious games design and virtual organizations, giving positive results in each context. Finally, we developed an online tool that provides global support to the execution of our method.

This study is focusing on improving the availability of federated storage services in order to provide better quality-of-service (QoS) to the customer with the minimum use of resources. One of the most efficient solutions to get the best experience in the cloud is to combine the services offered. In order for this to happen, there exist different approaches for selecting the best subset of services to reach the optimal performance. However, those works focus on one time selection processes, despite of customer's requirements are continuously changing and demanding adaptable storage service. In this research, I propose a method to improve storage availability through log sentiment analysis and intelligent replication. This methodology is based on the merging of two types of log analysis and the measurement of availability and performance metrics in order to select the best subset of services in cloud storage service federation.