 COMPETITIVE INTELLIGENCE ANALYSIS - SCENARIOS METHODIvan Valeriu ()
Annals of Faculty of Economics, 2014, vol. 1, issue 1, 331-340 Abstract: Keeping a company in the top performing players in the relevant market depends not only on its ability to develop continually, sustainably and balanced, to the standards set by the customer and competition, but also on the ability to protect its strategic information and to know in advance the strategic information of the competition. In addition, given that economic markets, regardless of their profile, enable interconnection not only among domestic companies, but also between domestic companies and foreign companies, the issue of economic competition moves from the national economies to the field of interest of regional and international economic organizations. The stakes for each economic player is to keep ahead of the competition and to be always prepared to face market challenges. Therefore, it needs to know as early as possible, how to react to others' strategy in terms of research, production and sales. If a competitor is planning to produce more and cheaper, then it must be prepared to counteract quickly this movement. Competitive intelligence helps to evaluate the capabilities of competitors in the market, legally and ethically, and to develop response strategies. One of the main goals of the competitive intelligence is to acknowledge the role of early warning and prevention of surprises that could have a major impact on the market share, reputation, turnover and profitability in the medium and long term of a company. This paper presents some aspects of competitive intelligence, mainly in terms of information analysis and intelligence generation. Presentation is theoretical and addresses a structured method of information analysis - scenarios method - in a version that combines several types of analysis in order to reveal some interconnecting aspects of the factors governing the activity of a company. Keywords: competitive intelligence; intelligence analysis; structured analytic techniques; multiple scenarios analysis (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ora:journl:v:1:y:2014:i:1:p:331-340 Access Statistics for this article More articles in Annals of Faculty of Economics from University of Oradea, Faculty of Economics Contact information at EDIRC. |
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