• ISSN: 2301-3567 (Print), 2972-3981 (Online)
    • Abbreviated Title: J. Econ. Bus. Manag.
    • Frequency: Quarterly
    • DOI: 10.18178/JOEBM
    • Editor-in-Chief: Prof. Eunjin Hwang
    • Executive Editor: Ms. Fiona Chu
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HOME > Archive > 2013 > Volume 1 Number 1 (Feb. 2013) >
JOEBM 2013 Vol.1(1): 112-116 ISSN: 2301-3567
DOI: 10.7763/JOEBM.2013.V1.26

WeCIM – Web Competitive Intelligence Methodology

Joaquim Fonseca and António Grilo

Abstract— Disruptive change causes value displacements in today’s competitive economic environment. To enhance survival capabilities organizations are increasing efforts in more untraditional business value assets such the intellectual capital and intelligence. Dynamic capabilities theory states that companies have to develop adaptive capabilities to survive disruptive change and increase competitive advantage in incremental change phases. Taking advantage of the large amount of information in the Web we proposed a methodology to develop an application to gather, filter and analyze web data and turn it into usable intelligence (WeCIM). In order to enhance information search and management quality it is proposed to use ontologies that allow reasoning over knowledge concepts without human intervention. Two case studies were conducted with satisfactory results. Two software prototypes were developed according to the proposed methodology that validated the approach in two specific real-life situations.

Index Terms— Competitive intelligence, ontologies, WeCIM, World Wide Web.

The authors are with UNIDEMI, Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa (e-mail: jpn.fonseca@campus.fct.unl.pt).

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Cite: Joaquim Fonseca and António Grilo, " WeCIM – Web Competitive Intelligence Methodology," Journal of Economics, Business and Management vol. 1, no. 1, pp. 112-116, 2013.

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