Adoption of Generative Artificial Intelligence Tools Among Supervisors in the Second Half of Their Working Life: A Qualitative Study

The adoption of generative artificial intelligence tools into the workspace is an inevitable advancement which is revolutionising the way an organisation function. Hence, it is essential for employees, particularly supervisors, to prepare themselves to accept and integrate it into their daily tasks. The present study examines the impact of socio-demographic variables, including age group, gender, educational qualification, and years of experience, on the adoption of generative artificial intelligence tools among supervisors in the second half of their working life. The technology acceptance model was considered as the underpinning theory, and the four components of this model, including perceived ease of use, perceived usefulness, expectancy outcome and training availability in the organisation, were considered for the study. Data was collected through a survey method by distributing a structured questionnaire to supervisors of three textile manufacturing organisations using a purposive sampling technique. The reliability of the questionnaire was ensured using confirmatory factor analysis. The final data was then processed for percentage analysis, chi-square, regression and the correlation coefficient test. The socio-demographic factors analysed for the study were found to be statistically significant with the perceived ease of use, expectancy outcome and the availability of training in the organisation. Neither age nor gender showed a significant relationship, whereas years of experience and educational qualification demonstrated a significant association with the perceived usefulness of the integrated tools.