Author :
Abstract
While previous studies have examined the impact of artificial intelligence (AI) on decision-makingprocesses across various industries, there remains a lack of a thorough understanding regardinghow AI, in combination with social innovation (SI), influences administrative decisions—particularlywithin the context of developing economies. This research explores the combined predictive effectsof AI and SI on administrative decision-making within Jordan’s telecommunications sector. Utilizinga quantitative, cross-sectional research design, data was collected through a structured surveyadministered to 319 managers across three major Jordanian telecom companies. To evaluate the predictiverelationships and test the structural paths between the latent constructs, Structural EquationModeling (SEM) was conducted, complemented by preliminary correlation analysis. The findingsrevealed strong, significant positive effects, indicating that the integrated adoption of AI and SI significantlyenhances the administrative decision-making process in these organizations. Consequently,this study recommends providing targeted financial and technical support to telecom companies andtheir employees to expand the application of AI and SI, which will serve to strengthen organizationalstructures and overall decision-making efficacy.
Keywords
Abstract
While previous studies have examined the impact of artificial intelligence (AI) on decision-makingprocesses across various industries, there remains a lack of a thorough understanding regardinghow AI, in combination with social innovation (SI), influences administrative decisions—particularlywithin the context of developing economies. This research explores the combined predictive effectsof AI and SI on administrative decision-making within Jordan’s telecommunications sector. Utilizinga quantitative, cross-sectional research design, data was collected through a structured surveyadministered to 319 managers across three major Jordanian telecom companies. To evaluate the predictiverelationships and test the structural paths between the latent constructs, Structural EquationModeling (SEM) was conducted, complemented by preliminary correlation analysis. The findingsrevealed strong, significant positive effects, indicating that the integrated adoption of AI and SI significantlyenhances the administrative decision-making process in these organizations. Consequently,this study recommends providing targeted financial and technical support to telecom companies andtheir employees to expand the application of AI and SI, which will serve to strengthen organizationalstructures and overall decision-making efficacy.