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30 years of intelligence models in management and business: A bibliometric review

机译:30年管理和业务智能模型:文献计量学回顾

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摘要

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.
机译:大数据时代的关键因素是信息的收集,分析和传播,以提高组织的竞争地位并增强其产品和服务。在这种情况下,组织必须使用智能,这被理解为在正确的时间收集,分析,解释和分发高价值数据和信息以用于决策过程的过程。早先,情报概念与军事和国家安全部门有关。但是,在当今以及随着组织的发展,已经针对不同应用程序以多种方式定义了智能。鉴于情报的目的是从数据,信息和组织的活力中获取真正的价值,对该学科的研究提供了一个机会来分析与数据收集和处理,信息管理,决策过程有关的核心趋势以及组织能力。因此,本研究通过量化主要文献计量绩效指标,确定主要作者和研究领域以及使用SciMAT作为文献计量分析软件评估该领域的发展,对文献中现有的智力定义进行概念分析。

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