The necessity of technological intelligence for startups performance: Insights from Algerian startups using neural network modelling and fuzzy logic

Abstract

This study aims to investigate the role of technological intelligence in enhancing the performance of start-ups in Algeria. It seeks to explore fundamental concepts such as performance and technological intelligence to bolster the efficiency of start-ups and foster economic development in the country. Employing a descriptive-analytical approach, the study distributed questionnaires to a random sample of 213 start-up companies. Additionally, it utilized an experimental approach, employing neural network modelling and fuzzy logic to test hypotheses. The study reveals that the elements of technological intelligence collectively exhibit a weak impact on the performance improvement of start-ups in Algeria. Approximately 31% of the observed weak impact of technological intelligence elements on start-up performance is attributed to the underutilization of available market technology for product development. This study underscores the importance of integrating technological intelligence into various activities of Algerian start-ups to augment performance, development, and growth. Furthermore, it aims to advance the start-up sector, alleviate unemployment challenges, integrate youth into the business landscape, and generate value addition. Moreover, the study contributes to advancing scientific research and leveraging the role of universities and research centers in supporting economic sectors through research endeavors aimed at enhancing start-up performance.

Keywords

• Technological intelligence
• Performance
• Start-ups
• Neural network
• Fuzzy logic