Agile culture, collective human intelligence and AI adoption: Gender and sectoral perspectives on augmented intelligence in Europe

Read full text
Authors: Wioleta Kucharska, Maciej Kucharski
Cited by: 1
References: 68

Abstract

With the increasing adoption of AI, there is a growing focus on understanding how the agile cultural context of organizations influences AI adoption and how collective human intelligence drives it, thereby fostering the development of augmented intelligence within agile organizations. To investigate it, we analyzed a sample of 1871 knowledge workers from Poland and Finland, comprising 936 females and 935 males, representing the IT sector (943 participants) and various other sectors (928 participants). So, the sectoral view in this research is purposefully free of a gender bias. We employed structural equation modeling (SEM) utilizing AMOS software version 26 to analyze the data. Findings show that agile organization benefits cannot be achieved without enhanced organizational intelligence, driven by the development of collective human and artificial intelligence (augmented), and without agile culture support. Regarding AI adoption, women and respondents from non-IT sectors perceive it as riskier than men and those in the IT sector do. However, women also view AI adoption as contributing more significantly to organizational intelligence than men do. Moreover, in the IT sector, professionals prioritize collective human intelligence in shaping organizational intelligence over AI input, as do females. Trust and a willingness to accept risks are vital for AI adoption. Critical thinking also plays a crucial role, but primarily in the IT sector. Notably, Finland and Poland share similar perspectives on achieving augmented intelligence and creating agile organizations, reflecting the European view.

Fields of Study & Subjects

Ethics and Social Impacts of AI The Impact of Diversity and Innovation on Society AI in Service Interactions

Publication details

Journal / source
International Journal of Information Management Data Insights
Publisher
Elsevier BV
Volume
6
Issue
1
Pages
100406–100406
Publication date
3 April 2026
Language
EN