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Open data and competitive intelligence

Open data et Intelligence Économique

New resources, new uses, new challenges

Nouvelles ressources, nouveaux usages, nouveaux défis

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Published on Tuesday, February 23, 2016 by João Fernandes

Summary

The open data movement, which emerged in the USA and the UK in 2009, refers to an organization’s making some of its data (transport, weather, health, public markets, etc.) accessible for reuse by businesses or the public. Beyond the initial challenges related to the transparency of public action, open data are an important source of information. In France, for example, the state makes its data available, start-ups are building innovative services based on open data and historical actors have opened their data to their ecosystem.

Announcement

Overview

The open data movement, which emerged in the USA and the UK in 2009, refers to an organization’s making some of its data (transport, weather, health, public markets, etc.) accessible for reuse by businesses or the public. Beyond the initial challenges related to the transparency of public action, open data are an important source of information. In France, for example, the state makes its data available (www.data.gouv.fr), start-ups are building innovative services based on open data (Data-publica) and historical actors have opened their data to their ecosystem (SNCF, Orange).

Unlike open source or big data, the open data movement is clearly distinguished from other concepts linked to new ways to produce and share information. Whereas open source aims to provide applications, open data seeks to liberate data, often voluminous, and to overcome limits on access rights and reuse. 

For data to be universally available, it must be transcribed in a format that is easy to understand and manipulate. Several measures have been taken to improve the quality, access, documentation and exchange of data. However, many challenges remain: adoption and use of pertinent norms, tools and infrastructures, training of staff, change management, etc. 

McKinsey calculates the annual value of open data at between $3.220 billion and $5.290 billion.  All economic sectors are affected, and performance improvement opportunities cover both productivity and revenues: finding new clients, improving the marketing mix, reducing marketing costs, designing new offers, etc.

The use of open data is thus a fundamental issue of Economic Intelligence (EI). One of the main practices of EI is to put in place a process of transformation of information into knowledge that can aid strategic decisions. In the information cycle (need, collection, analysis and diffusion), the acquisition of information is a fundamental step. Open data thus provides access to new resources and requires us to consider new uses of information. 

Suggested Topics

R2IE will publish a special issue aimed at stimulating reflection on the relationship between open data and Economic Intelligence. This issue welcomes all types of works, that is theoretical, methodological or based on empirical studies, particularly via the presentation of case studies. We invite contributors to propose analyses on themes such as (non-exhaustive list that may be supplemented by authors’ proposals):

  • decision-making based on open data
  • strategies and governance of open data
  • reuse of data and applications of open data
  • organizational challenges and impacts of open data
  • valuing data and new business models
  • open data and business ecosystems
  • treatment of open data and knowledge management
  • risks and threats to open data
  • accessibility, reliability and format of open and massive data
  • security, confidentiality, protection of data and ethics
  • open data and self data
  • open data and territorial intelligence.

Important Dates

  • Abstract Submission deadline: March 30, 2016.

  • Author Notification Date: April 18, 2016
  • Manuscript Submission to Publisher: June 30, 2016.
  • Publication deadline: The special issue is planned for publication in December 2016 

Submission procedure

Authors must convey their intention to contribute to the journal by submitting an abstract. The abstract should be at most 4,500 characters long, and specify the title of the paper, the authors’ names and contact information, issues related to the topic, theoretical positioning, problem, approach and expected results. 

Authors whose proposals have been accepted must submit a final version of their article that meets the editing guidelines available at: http://www.revue-r2ie.com

Correspondence and submission of contributions: redaction.r2ie@gmail.com 

About the Revue Internationale d'Intelligence Économique (R2IE)

The Revue Internationale d’Intelligence Économique (R2IE) is a scientific publication dedicated to the study of different aspects of economic intelligence, such as business intelligence, communication of influence, risk management and the economic security of companies and governments. As such, it welcomes contributions with a broad multidisciplinary scope: economics and management, law, political science, information sciences, and communication sciences.

Scientific committee

  • Franck Bournois, Professeur à l’Université de Paris II
  • Pascal Chaigneau, Professeur à l’Université de Paris V, Professeur affilié à HEC Paris
  • Amos David, Professeur à l'Université Nancy II
  • Dominique David, Directeur exécutif de l'Ifri
  • Henri Dou, Professeur émérite à l'Université d'Aix-Marseille, Pr. affilié à l'ESCEM, Research Professor Peking University
  • Jacques Fontanel, Professeur à l’Université de Grenoble
  • Patrick Hetzel, Professeur à l’Université de Paris II
  • Jacques Gagnon, Professeur à l'Université de Sherbrooke
  • Yves Lacoste, Professeur émérite à l'Université Paris 8
  • Jean-Pierre Allegret, Professeur à l’Université de Lyon II, CNRS, ENS LSH
  • Serge Agostinelli, Professeur à l'Université d'Aix-Marseille III
  • Claude Revel, Déléguée Interministérielle à l'Intelligence Economique (DIIE)
  • Fabrice Roth, Professeur à l’Université de Lyon III
  • Ahmed Silem, Professeur à l'Université de Lyon III
  • Zhang Mengxia, Professeur à la Capital University of Economics & Business de Pékin
  • Joaquin Tena, Professeur à l'Université Pompeu Fabra de Barcelone
  • Jean Fabrice Lebraty, Professeur à l’Université de Nice
  • Aude d'Andria, MCF, HDR, Université d'Evry, Rédactrice en chef de La Revue des Sciences de Gestion

Date(s)

  • Wednesday, March 30, 2016

Keywords

  • open data, competitive intelligence, territorial intelligence, knowledge management, self- data, big data, intelligence économique, données ouvertes, gestion des connaissances

Contact(s)

  • Olivier Mamavi
    courriel : redaction [at] management-datascience [dot] org

Information source

  • Olivier Mamavi
    courriel : redaction [at] management-datascience [dot] org

To cite this announcement

« Open data and competitive intelligence », Call for papers, Calenda, Published on Tuesday, February 23, 2016, https://calenda.org/357308

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