Muneer Mohammad Saadeh
Abstract:
This article provides a theoretical analysis of the developing field of strategic intelligence in a corporate context. It considers the intellectual roots of competitive intelligence while examining the traditional intelligence cycle as an essentially linear process designed for the stability of a set market. The paper claims that corporate strategic intelligence is in a process of significant contextual change driven by the revolution in information systems that generate a tension between human-based analysis and machine-based processes. The emergence of Big Data, Open Source Intelligence (OSINT) and Social Media Intelligence (Socmint) is examined for both their potential to fill knowledge gaps and the methodological issues they create for a business strategy. Moving forward with the call for corporate intelligence, alternatives to simple induction from Karl Popper’s philosophy of true science i.e., false science, are discussed as methods that widen the training blind spots. In conclusion, the article introduces a synthesized framework for a contemporary corporate intelligence strategy, in which Big Data analytics becomes a subtext, traditional market knowledge is context, and game theory becomes the metatext. This three-prong approach creates a pathway for the complexity faced by the corporation in a contemporary competitive landscape.