Competitive intelligence maturity models

systematic review, unified model and implementation frameworks

Luis Madureira (Author), Aleš Popovič (Author), Mauro Castelli (Author)

Abstract

Competitive Intelligence (CI) is vital for sustaining the performance of organisations in an increasingly volatile, uncertain, complex, and ambiguous (VUCA) world. However, the impact of CI on performance is proportional to its maturity level. The article aims to review and integrate the existing literature on Competitive Intelligence Maturity Models (CIMMs) to provide a go-to framework for setting up, assessing, and developing CI. The CIMMs were sourced from scholarly databases, registers, the social web, and using backwards and forward searches. All the CIMMs respecting the characterisation criteria were included in the study. A scientific and empirically validated definition of CI guided the integration and synthesis of the fourteen selected CIMMs. The primary outcome is a proposed unified CIMM (UCIMM) covering all the CI dimensions and aspects in tandem with the respective implementation guidance frameworks. The proposed UCIMM and implementation frameworks effectuate the guidance needed to set up, assess, and develop the CI practice and theory and, ultimately, the performance of organisations.

Keywords

organizacija;umetna inteligenca;modeli;uspešnost poslovanja;organization;artificial intelligence;models;business efficiency;

Data

Language:	English
Year of publishing:	2023
Typology:	1.02 - Review Article
Organization:	UL EF - Faculty of Economics
UDC:	659.2:004
COBISS:	153218051
ISSN:	2001-015X
Views:	16
Downloads:	7
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary keywords:	organizacija;umetna inteligenca;modeli;uspešnost poslovanja;
Type (COBISS):	Article
Pages:	str. 6-29
Volume:	ǂVol. ǂ13
Issue:	ǂiss. ǂ1
Chronology:	2023
DOI:	10.37380/jisib.v13i1.988
ID:	19766042