Competitive intelligence: History, importance, objectives, process and issues

Dhekra Ben Sassi, Anissa Frini, Wahiba Ben Abdessalem, Naoufel Kraiem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Competitive intelligence deals with the competitive environment of a company. Several studies have been conducted on competitive intelligence domain but there is no empirical work that gives a complete implemented competitive intelligence solution. This paper presents an overview of competitive intelligence studies and highlights the issues towards developing a complete CI solution. A new conceptual model which details the collection phase and incorporates the anticipation of the competitor decisions is proposed. To better solve the CI problem, the paper proposes to integrate the ability of multi-criteria decision aid methods to manage conflicting criteria in a complex environment, with the ability of artificial intelligence in managing and extracting large amount of technical data/information in such a context.

Original languageEnglish
Title of host publicationIEEE RCIS 2015 - 9th International Conference on Research Challenges in Information Science, Proceedings
EditorsColette Rolland, Dimosthenis Anagnostopoulos, Pericles Loucopoulos, Cesar Gonzales-Perez
PublisherIEEE Computer Society
Pages486-491
Number of pages6
EditionJune
ISBN (Electronic)9781467366304
DOIs
Publication statusPublished - Jun 19 2015
Event9th IEEE International Conference on Research Challenges in Information Science, IEEE RCIS 2015 - Athens, Greece
Duration: May 13 2015May 15 2015

Publication series

NameProceedings - International Conference on Research Challenges in Information Science
NumberJune
Volume2015-June
ISSN (Print)2151-1349
ISSN (Electronic)2151-1357

Other

Other9th IEEE International Conference on Research Challenges in Information Science, IEEE RCIS 2015
Country/TerritoryGreece
CityAthens
Period5/13/155/15/15

Keywords

  • Competitive intelligence
  • data collection
  • empirical solutions
  • process

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Software

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