Conceptualization and Prioritization of Competitive Intelligence Components at Knowledge-based Companies: Mixed method Study

Document Type : Original Article

Authors

1 Ph.D. Student International Marketing Management, Semnan University, Iran

2 University of Semnan

3 Assistant Prof., Faculty of Economic, Management and Administrative Sciences, Semnan University, Semnan, Iran

4 3. Prof., Faculty of Management and Economic, Tarbiat Modares University, Tehran, Iran

5 Associate Prof., Faculty of Economic, Management and Administrative Sciences, Semnan University, Semnan, Iran

Abstract

Identifying the problems of Knowledge-based companies is important because of their special position in country's economy, despite of the increasing export value of Knowledge-based products, these companies suffer from two main problems, areas of investment and unsustainable export, the issues that have challenged the competitiveness of these companies; it is an issue that needs to be explored further. The aim of this study was to conceptualize and Prioritize the intelligence components in knowledge-based companies through a mixed method approach. The present study aimed to explore the mixed and the functional result. The first step in research in order to achieve the objectives, is 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. At the second step, 12 experts were selected to extract their views by theoretical sampling  through a 5-point Likert-scale questionnaire then analyzed the data collected through Fuzzy Delphi technique. The results of study led to the identification of eight main components of  competitors intelligence, financial intelligence, market intelligence, technical intelligence,  management intelligence, regulatory intelligence, human intelligence and political intelligence, in order to gain competitive intelligence in the knowledge-based companies.

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