Web competitive intelligence methodology

• Author(s): Fonseca, Joaquim Pedro Nogueira da Costa de Castro
• Date: 2012
• Persistent ID: http://hdl.handle.net/10362/8227
• Origin: Repositório Institucional da UNL
• Subject(s): Competitive intelligence; World wide web; Semantic web; Ontologies; WeCIM
• Document Type: Master thesis
• Language: English
• Advisor(s): Grilo, António
• Contributor(s): RUN

Description

Master’s Degree Dissertation

The present dissertation covers academic concerns in disruptive change that causes value displacements in today’s competitive economic environment. To enhance survival capabilities organizations are increasing efforts in more untraditional business value assets such intellectual capital and competitive intelligence. Dynamic capabilities, a recent strategy 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 World Wide Web it is propose a methodology to develop applications 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 the use of ontologies that allow computers to “understand” particular knowledge domains. Two case studies were conducted with satisfactory results. Two software prototypes were developed according to the proposed methodology. It is suggested that even a bigger step can be made. Not only the success of the methodology was proved but also common software architecture elements are present which suggests that a solid base can be design for different field applications based on web competitive intelligence tools.