LOCUS OF CONTROL PREDICT ATTITUDE TOWARDS ARTIFICIAL INTELLIGENCE AND EMPLOYEE WORK PERFORMANCE IN WORKING MIDDLE AGE ADULTS

Abstract

A person’s behavior, attitude, or performance predominates from how he/she perceives things happening around them. When faced with the same scenario, various people react differently due to the effects of internal and external locus of control on their behavior. The current study was designed to identify the role of LOC in attitude towards AI and employee work performance in working middle-aged adults. This cross-sectional study selected a sample of 300 middle-aged adults through purposive sampling techniques. INTLOC and EXTLOC were measured using I-E 4 scale, attitude towards artificial intelligence was assessed using GAAI scale, and employee work performance was assessed using Individual work performance questionnaire (IWPQ). Regression analysis was conducted to predict positive and negative GAAI and work performance among working middle age adults. INTLOC (β = .44, p = .00), and EXTLOC (β = -.16, p = .00) significantly predicts positive GAAI. INTLOC (β = -.52, p = .00) and  EXTLOC (β = .08, p = .00)  significantly predicts negative GAAI among working middle age adults. INTLOC (β = .03, p = .00), and EXTLOC (β = -.38, p = .00) significantly predict work performance among middle age working adults. The results of this study can be used to guide the creation of targeted measures and tactics that will facilitate the integration of AI, foster innovation, and enhance middle-aged workers' productivity at work. In an increasingly AI-driven world, these efforts will help organizations succeed. It is suggested that Future studies should use both self-report measures and observer-report measures in combination to overcome the constraint of data collecting from a single source. They consider adolescents, young, and older adults as their sample and  should use mixed-method or qualitative research should be conducted in addition to quantitative ones to get a detailed account.