Evaluating technological intelligence dimensions in innovative startups: A confirmatory factor analysis approach

This article aims to study technological intelligence in innovative startups in Algeria using Kerr’s model. Technological intelligence consists of four main dimensions: intelligent systems, competitive intelligence, market intelligence, and intelligent processes. To collect data, a questionnaire was distributed to a sample of 255 innovative startups in Algeria, and the data were analyzed using confirmatory factor analysis (CFA) with Smart PLS software. The results indicated that the two-dimensional model combining intelligent systems and competitive intelligence provided the best fit, with a relationship value of 0.605 between these two dimensions. On the other hand, the relationship between market intelligence and competitive intelligence was weak, with a value of 0.281, reflecting the limited use of analytical methods by startups to monitor competitors. Based on these findings, the study recommends that innovative startups in Algeria enhance their use of competitive intelligence and intelligent systems to improve decision-making processes. Additionally, these startups should make better use of available market technologies to develop their products and services, while focusing on continuous competitor analysis and identifying opportunities. In conclusion, technological intelligence is a strategic element for startups, helping them improve their performance and achieve a competitive edge in the changing business environment in Algeria.

Authors

Publication Details

Journal
Uncertain Supply Chain Management
Published
2024-12-26
DOI
https://doi.org/10.5267/j.uscm.2024.10.012
Citations
2
Primary Topic
Competitive and Knowledge Intelligence
Type
article
Field-Weighted Citation Impact
1.11

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article

Evaluating technological intelligence dimensions in innovative startups: A confirmatory factor analysis approach

Tayseer Alkhdour, صبري مقيمح, Rami Shehab, Ahmad Samed Al‐Adwan et al.
2 citations
Uncertain Supply Chain Management
Competitive and Knowledge Intelligence
1.11
article

Evaluating technological intelligence dimensions in innovative startups: A confirmatory factor analysis approach

Tayseer Alkhdour, صبري مقيمح, Rami Shehab, Ahmad Samed Al‐Adwan, Theyazn H. H. Aldhyani, Mohammed Amin Almaiah, Rahma Zighed, Romel Al-Ali
article en
2 citations

Abstract

This article aims to study technological intelligence in innovative startups in Algeria using Kerr’s model. Technological intelligence consists of four main dimensions: intelligent systems, competitive intelligence, market intelligence, and intelligent processes. To collect data, a questionnaire was distributed to a sample of 255 innovative startups in Algeria, and the data were analyzed using confirmatory factor analysis (CFA) with Smart PLS software. The results indicated that the two-dimensional model combining intelligent systems and competitive intelligence provided the best fit, with a relationship value of 0.605 between these two dimensions. On the other hand, the relationship between market intelligence and competitive intelligence was weak, with a value of 0.281, reflecting the limited use of analytical methods by startups to monitor competitors. Based on these findings, the study recommends that innovative startups in Algeria enhance their use of competitive intelligence and intelligent systems to improve decision-making processes. Additionally, these startups should make better use of available market technologies to develop their products and services, while focusing on continuous competitor analysis and identifying opportunities. In conclusion, technological intelligence is a strategic element for startups, helping them improve their performance and achieve a competitive edge in the changing business environment in Algeria.

Uncertain Supply Chain ManagementVol. 13(4)
King Faisal University
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
Competitive and Knowledge Intelligence
1.11
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Evaluating technological intelligence dimensions in innovative startups: A confirmatory factor analysis approach — Tayseer Alkhdour, صبري مقيمح, et al. · Uncertain Supply Chain Management (2024) | TGRS Research Map | TGRS