30 years of intelligence models in management and business: A bibliometric review. (October 2019) - López-Robles, J.R.
Highlights: In the age of big data, Intelligence is recognized as an emerging discipline. Intelligence has a strong impact on the innovation performance of an organization. Intelligence activities are oriented to both tactical and strategic decision-making. Intelligence aims to improve the competitiveness of enterprises and economic sectors. Intelligence is an ethical and legal practice, as opposed to industrial espionage. Abstract: The critical factors in the big data era are collection, analysis, and dissemination of information to improve an organization's competitive position and enhance its products and services. In this scenario, it is imperative that organizations use Intelligence, which is understood as a process of gathering, analyzing, interpreting, and disseminating high-value data and information at the right time for use in the decision-making process. Earlier, the concept of Intelligence was associated with the military and national security sector; however, in present times, and as organizations evolve, Intelligence has been defined in several ways for the purposes of different applications. Given that the purpose of Intelligence is to obtain real value from data, information, and the dynamism of the organizations, the study of this discipline provides an opportunity to analyze the core trends related to data collection and processing, information management, decision-making process, and organizational capabilities. Therefore, the present study makes a conceptual analysis of the existing definitions of intelligence in the literature by quantifying the main bibliometric performance indicators, identifying the main authors and research areas, and evaluating the development of the field using SciMAT as a bibliometric analysis software.