Role Of Expert Systems In Supporting Financial Efficiency From Perspective Of Financial Managers Within Industrial Organizations

Current study aimed at exploring the impact of expert systems components (knowledge base, inference engine, explanation component, user interface, acquisition component) on organizational financial efficiency from perspective of financial managers within industrial organizations in Jordan. The quantitative deductive approach was utilized, and a questionnaire was handed to a convenient sample of (331) financial managers and analysts within industrial organizations. SPSS was adopted in order to process and analyze primary data; results of study accepted the main hypothesis which was articulated "expert systems components have statistically significant influence on financial efficiency" with r = 0.656 and a substantial relationship between "expert systems" and "financial Efficiency". This relationship accounted for 43.1% of the variance in the examined variable (the dependent variable). Regarding sub-variables, it was seen that the highest in influence was "user interface" scoring an r= 0.592 and a medium relationship with financial efficiency that accounted for 35.1% of the variance. Study recommended the need for expert systems to be able to reason and explain the reasons for the recommendations they make and to respond to simple questions raised by non-specialists. Further recommendations were presented in the study