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

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

doi:10.1109/RCIS.2015.7128910

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 proceeding › Conference 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 language	English
Title of host publication	Proceedings - International Conference on Research Challenges in Information Science
Publisher	IEEE Computer Society
Pages	486-491
Number of pages	6
Volume	2015-June
Edition	June
DOIs	https://doi.org/10.1109/RCIS.2015.7128910
Publication status	Published - Jun 19 2015
Externally published	Yes
Event	9th IEEE International Conference on Research Challenges in Information Science, IEEE RCIS 2015 - Athens, Greece Duration: May 13 2015 → May 15 2015

Other

Other	9th IEEE International Conference on Research Challenges in Information Science, IEEE RCIS 2015
Country	Greece
City	Athens
Period	5/13/15 → 5/15/15

Keywords

Competitive intelligence
data collection
empirical solutions
process

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Software

Access to Document

10.1109/RCIS.2015.7128910

Fingerprint Dive into the research topics of 'Competitive intelligence: History, importance, objectives, process and issues'. Together they form a unique fingerprint.

Cite this

Competitive intelligence : History, importance, objectives, process and issues. / Ben Sassi, Dhekra; Frini, Anissa; Ben Abdessalem, Wahiba; Kraiem, Naoufel.

Proceedings - International Conference on Research Challenges in Information Science. Vol. 2015-June June. ed. IEEE Computer Society, 2015. p. 486-491 7128910.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ben Sassi, D, Frini, A, Ben Abdessalem, W & Kraiem, N 2015, Competitive intelligence: History, importance, objectives, process and issues. in Proceedings - International Conference on Research Challenges in Information Science. June edn, vol. 2015-June, 7128910, IEEE Computer Society, pp. 486-491, 9th IEEE International Conference on Research Challenges in Information Science, IEEE RCIS 2015, Athens, Greece, 5/13/15. https://doi.org/10.1109/RCIS.2015.7128910

@inproceedings{6525afe8de1746c89d773b46b29ef677,

title = "Competitive intelligence: History, importance, objectives, process and issues",

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.",

keywords = "Competitive intelligence, data collection, empirical solutions, process",

author = "{Ben Sassi}, Dhekra and Anissa Frini and {Ben Abdessalem}, Wahiba and Naoufel Kraiem",

year = "2015",

month = jun,

day = "19",

doi = "10.1109/RCIS.2015.7128910",

language = "English",

volume = "2015-June",

pages = "486--491",

booktitle = "Proceedings - International Conference on Research Challenges in Information Science",

publisher = "IEEE Computer Society",

edition = "June",

note = "9th IEEE International Conference on Research Challenges in Information Science, IEEE RCIS 2015 ; Conference date: 13-05-2015 Through 15-05-2015",

}

TY - GEN

T1 - Competitive intelligence

T2 - 9th IEEE International Conference on Research Challenges in Information Science, IEEE RCIS 2015

AU - Ben Sassi, Dhekra

AU - Frini, Anissa

AU - Ben Abdessalem, Wahiba

AU - Kraiem, Naoufel

PY - 2015/6/19

Y1 - 2015/6/19

N2 - 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.

AB - 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.

KW - Competitive intelligence

KW - data collection

KW - empirical solutions

KW - process

UR - http://www.scopus.com/inward/record.url?scp=84937879314&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84937879314&partnerID=8YFLogxK

U2 - 10.1109/RCIS.2015.7128910

DO - 10.1109/RCIS.2015.7128910

M3 - Conference contribution

AN - SCOPUS:84937879314

VL - 2015-June

SP - 486

EP - 491

BT - Proceedings - International Conference on Research Challenges in Information Science

PB - IEEE Computer Society

Y2 - 13 May 2015 through 15 May 2015

ER -