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Cited by 281

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Competitive intelligence process and tools for intelligence analysis

Bose, Ranjit·2008·Industrial Management & Data Systems

Abstract

Purpose: The purpose of this survey research is twofold. First, to study and report the process that is commonly used to create and maintain a competitive intelligence (CI) program in organizations. And second, to provide an analysis of several emergent text mining, web mining and visualization‐based CI tools, which are specific to collection and analysis of intelligence. Design/methodology/approach: A range of recently published research literature on CI processes, applications, tools and technologies to collect and analyze competitive information within organizations is reviewed to explore their current state, issues and challenges learned from their practice. Findings: The paper provides executive decision makers and strategic managers a better understanding of what methods are available and appropriate to the decisions they must make and the steps involved in CI undertaking. Originality/value: The findings of this research provide the managers of CI programs a context for understanding which tools and techniques are better suited to their specific types of problems; and help them develop and evaluate a usable set of tools and best practices to apply to their industry.

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Metadata

Authors
Bose, R.
Venue
Industrial Management & Data Systems
Publisher
Emerald
Published
2008-04-25
Volume
108
Issue
4
Pages
510-528
ISSN
0263-5577 (ISSN-L)
OpenAlex
W2054825174
Cited by
281
References
2
FWCI
24.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Competitive intelligence process and tools for intelligence analysis. https://app.cochat.ai/papers/10.1108/02635570810868362
The paper
Bose, R. (2008). Competitive intelligence process and tools for intelligence analysis. Industrial Management & Data Systems. https://doi.org/10.1108/02635570810868362

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.