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About us

“Network Intelligence Studies”,

a biannual journal of a collaborative and innovative conscience, is the official journal of the Romanian Foundation for Business Intelligence and is coordinated by an enthusiastic editorial team.

As part of the actions FRIA (Romanian Foundation for Business Intelligence), this journal appreciates the differences and relationships between the university sector and the economic construction field, sharing experiences and diversity. The Journal hosts articles written by authors from both Academic and Business world or from the administrative field. The acceptance for publication is based on an anonymous and impartial selection procedure and rigorous evaluation of articles by our reviewers. The Journal encourages high scientific research that contributes to broadening the horizon of knowledge in the field of Economics,  Management, Marketing, Communication studies, Sociology, Psychology, Commerce and Tourism, Anthropology,  Political science, Linguistics, Education, Human geography. Our Journal aims to become a prestigious forum for interdisciplinary debate, both at theoretical and practical research addressing relevant issues at national, regional and international level.

Our Vision

To empower social and economic world to recognize, challenge, and take proactive approaches to collaboration for the individuals, organizations, communities, nations and humanity as a whole.

Our Mission

The “Network Intelligence Studies” program is dedicated to supporting the needs of collaboration for individuals, commercial organizations, faculties, ONG’s, communities, in order to generate valuable and innovative results for humanity as a whole.  Our mission is to create a learning environment in which the entire academic community and economic sector would feel more than welcome. Within this charge, and in collaboration with existing universities, economic and social actors, the “Network Intelligence Studies” priority is to provide programs and services to foster discussions on issues related to the creation of a collaborative and innovative conscience.

Our Objectives

–         From the observation that the boundaries begin to matter less and more and more the communities, NIS journal promotes research and seeks to build a unity between theory and empirical segment of collaborative innovation. Our approach starts from the observation of phenomena and extensive development of collaborative structures at both the individual (by creating communities of “tribes”) and organizational level but especially at the interorganizational level.

–          Promoting the understanding of collaborative processes and their usage as leverages, and how these generate the interorganisational innovation through the informal working relationships between individuals, organizations and institutions, relationships that cross the formal lines of subordination and communication which are structured as networks.

An innovative collaborative research process starts with the creation of communities, networks, generating ideas, production of innovation and it continues with its selling on the market. Also, the aim of the journal is to research and to include the innovative processes in continuous, repetitive innovation systems on a knowledge spiral that includes hypothesis testing, more nuanced and richer description of reality, pointing concepts and their measures and how the research results can be generalized, and how these may lead to a change of management traditional formal theories based on hierarchical structures.

–          Redesign of business processes from the perspective of using knowledge in collaborative structures, modeling using various techniques  and storing models in data warehouses,

–          Handling collaborative business process knowledge and knowledge created and applied (innovation) in collaborative processes.

–           Identification of interorganizational collaborative management processes aimed at achieving a holistic result, a higher result compared with a mechanistic management system based on the amount of organizational knowledge

Studies in Network Intelligence in general, examine the ability of a collaborative structure consisting of individuals and / or organizations to facilitate better business decisions.

Network Intelligence system is a combination of data, processes, tools and technologies that provide valuable information to assist leaders drafting decisions intended to increase efficiency and profitability, leading to innovation.

This journal aims to develop and evaluate a coherent set of methods to understand behavior in complex collaborative structures. Such large distributed collaborative networks exhibit global behavior arising from independent decisions made by many simultaneous actors, which adapt their behavior. Proposed changes in actor decision algorithms must be examined at large spatiotemporal scale in order to predict network behavior and the innovation production. This presents a challenging problem.

Technical objectives: Establish models and analysis methods that (1) are computationally tractable, (2) reveal macroscopic behavior and (3) establish causality. Characterize distributed control techniques, including: (1) economic mechanisms to elicit desired behaviors and (2) biological mechanisms to organize components.

ISSN-L: 2344 – 1712

The Science of Collaborative and Innovative Potential


We welcome submissions based on all methodological, applied or theoretical aspects; and we are especially interested in receiving papers that meet the following topics:

  • Science, Technology and Innovation Studies;
  • Systems, Services & Design;
  • Open and Distributed Innovation;
  • Sharing Economy, Interorganizational Innovation;
  • Business Model Innovation;
  • Diffusion of Innovation
  • Future of Cities

Academic disciplines

  • Economics: International economics, Macroeconomics, Microeconomics, Empirical investigation, History of Economics, European Integration, Criticisms of assumptions, Economic Informatics;
  • Management: Innovation Management, Change Management, Human Resource Management, Knowledge Management, Service Management, Corporate Governance, Labor Management, Quality Management, Strategic Management, Project Management, Production Management, Logistics, Management best practices;
  • Marketing, Commerce and Tourism;
  • Anthropology;
  • Religious Studies;
  • Medicine;
  • Sociology;
  • Psychology;
  • Communication studies;
  • Arts;
  • Literature;
  • Linguistics;
  • Education;
  • Philosophy;
  • Political Science;
  • Mathematics;
  • Space Science;
  • Physics;
  • Engineering;
  • Computer Science;
  • Chemistry;
  • Biology;
  • Human geography;
  • History;
  • Law;
  • Design;
  • Agricultural Science;
  • Geoscience.


The journal is published twice a year (June and December).

Open access policy

The Network Intelligence Strudies provide instant access and open content, based on the principle of making research freely, available to the public supporting a greater exchange of knowledge worldwide. The online journal (www.nis.bxb.ro) fully agrees with the open access policy starting with number 1 / 2013.

Network Intelligence Strudies is an open access scholarly journal that is available online to the readers without financial, legal, or technical barriers based on the theory to keep an article’s content intact. Creative Commons licenses can be used to specify usage rights. Our Journal recommends CC BY license which is also an implied license.

Licenţa Creative Commons

Network Intelligence Strudies applies the Creative Commons Attribution (CC BY) license to all works we publish (read the human-readable summary or the full license legal code). Under the CC BY license, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles in Network Intelligence Strudies, so long as the original authors and source are cited. No permission is required from the authors or the publishers.

In most cases, appropriate attribution can be provided by simply citing the original article. If the item you plan to reuse is not part of a published article (e.g., a featured issue image), then please indicate the originator of the work, and the volume, issue, and date of the journal in which the item appeared. For any reuse or redistribution of a work, you must also make clear the license terms under which the work was published.

This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your own work will ensure your right to make your work freely and openly available.

The CC BY-SA and CC BY-ND licenses are available on request. Please contact the editorial office on acceptance of your article to discuss these options:

Licenţa Creative Commons
This work is made available under Attribution License – Distribution-in-identical conditions 4.0 Internațional Creative Commons.
Licenţa Creative Commons
This work is made available under Attribution License-NoDerivatives 4.0 Internațional Creative Commons.