Conceptualization and Prioritization of Competitive Intelligence in Knowledge-Based Companies: Mixed Method

Identifying the problems of Knowledge-based companies is important because of their special position in the economy of the country, despite the increasing value of exports of Knowledge-based products, this companies suffer from two problems, areas of investment and unsustainable export, the issue that has challenged the competitiveness of these companies, it’s an issue that needs to be explored further. The aim of this study was to conceptualize and Prioritization of intelligent knowledge-based companies through a combination approach. The present study aimed to explore the mixed and the functional result. The first step is research in order to achieve the objectives of the research, using semi-structured content analysis and interviews with activist’s knowledge-based companies (professionals, managers and relevant officials), 95 Code as intelligent concepts competitive knowledge-based mining companies and 10 components were classified according to semantic relationships. The second step 12 experts selected by theoretical sampling their views through a questionnaire with 5-point Likert collected and analyzed data through fuzzy Delphi technique. The results of two surveys of experts led to the identification of eight main components of a competitor intelligence, financial intelligence, market intelligence, technical intelligence, intelligent management, regulatory intelligence, human intelligence and political intelligence to gain competitive intelligence in the knowledge-based companies.