竞争情报的实证验证与应用:知识进步的基础及其与实践的相关性

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Information Science Pub Date : 2023-09-06 DOI:10.1177/01655515231191221
Luís Madureira, Aleš Popovič, Mauro Castelli
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引用次数: 0

摘要

竞争情报(CI)结构必须经过科学定义、表征、实证验证和准确衡量,才能在科学和商业中发展。本研究旨在提高Madureira、Popovic和Castelli提出并证实的CI结构的实证验证的准确性,作为CI实践的科学基础。之所以选择这种结构,是因为它具有无与伦比的近期性、彻底性和普遍性,并确定了其实证验证的局限性。我们依赖于一个多品牌的设计,即具有同等状态的全序列定性和定量混合方法,然后对研究结果进行三角测量,并发展元推断。基于对CI主题专家的61次深入访谈,使用计算机辅助文本分析和人工智能方法测试了有效性、可靠性和适用性。对知识进步和实践相关性的贡献源于科学级实证结构验证,提供了无可争议的准确性、一致性、适用性和结果三角化水平。这项研究强调了三个关键含义。首先,界定知识体系和承认CI领域是理论发展的基线。其次,经过验证的结构保证了可复制性、可复制性和可推广性,为建立CI科学、实践和教育奠定了基础。第三,创造一种共同的语言和共同的理解将推动人们所声称的定义共识。因此,本研究是支持CI实践提高决策质量和组织绩效的基础支柱。
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Competitive intelligence empirical validation and application: Foundations for knowledge advancement and relevance to practice
The competitive intelligence (CI) construct must be scientifically defined, characterised, empirically validated and accurately measured to grow in science and business. This study aims at elevating the accuracy of the empirical validation of the CI construct suggested and confirmed by Madureira, Popovic and Castelli to serve as the scientific foundation for CI praxis. This construct is selected due to its unmatched recency, thoroughness, universality identified limitations of its empirical validation. We relied on a multistrand design of fully sequential with equivalent status qualitative and quantitative mix-methods followed by the triangulation of the findings and the development of the meta-inferences. Validity, reliability and applicability were tested using computer-aided text analysis and artificial intelligence methods based on 61 in-depth interviews with CI subject matter experts. Contributions to knowledge advancement and relevance to practice derive from the scientific-grade empirical construct validation, providing undisputed levels of accuracy, consistency, applicability, and triangulation of results. This study highlights three critical implications. First, the delimitation of the body of knowledge and recognition of the CI domain serve as the baseline for theory development. Second, the validated construct guarantees reproducibility, replicability and generalisability, laying the foundations for establishing CI science, practice and education. Third, creating a common language and shared understanding will drive the much-claimed definitional consensus. This study thus stands as a foundational pillar in supporting CI praxis in improving decision-making quality and the performance of organisations.
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来源期刊
Journal of Information Science
Journal of Information Science 工程技术-计算机:信息系统
CiteScore
6.80
自引率
8.30%
发文量
121
审稿时长
4 months
期刊介绍: The Journal of Information Science is a peer-reviewed international journal of high repute covering topics of interest to all those researching and working in the sciences of information and knowledge management. The Editors welcome material on any aspect of information science theory, policy, application or practice that will advance thinking in the field.
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