DETERMINANTS OF ARTIFICIAL INTELLIGENCE ANXIETY : IMPACT OF SOME PSYCHOLOGICAL AND ORGANISATIONAL CHARACTERISTICS AMONG STAFF OF FEDERAL POLYTECHNIC NASARAWA, NIGERIA

Abstract

  Over the years, both psychological and organisational factors has assumed great importance in determining attitude towards new technology. This study investigates the impact of psychological and organisational factors as predictors of artificial intelligence (AI) anxiety among staff of Federal Polytechnic Nasarawa. The study adopted cross-sectional survey design. Eighty-four (84) workers were sample randomly from among the workers in the tertiary institution. Four standardized instruments were used to measure both the independent and dependent variables. Three hypotheses were formulated and tested using multiple regression analysis. Result showed that 15.5% of the participants showed high AI anxiety. The researchers found that resilience, resistance to change and organizational ethical climate jointly predicted artificial intelligence anxiety. Result, further indicates a significant independent prediction of predictors variables on criterion variable, while ethical climate did not predict on artificial intelligence anxiety among staff. Based these results, the study recommend that human resources managers should consider enrollment of workers that shows high resilience and low resistance to change during recruitment, Moreover, management should organize interventions to improve resilience and encourage positive attitude towards change should be carried out before introducing AI to the organisation