Publication Details
Abstract
The study sought to uncover the role artificial intelligence can play in enhancing objective models for measuring the value stream costs. In order to attain the aforementioned objective, the study was founded on the following primary hypothesis: There is a statistically significant role for the application of artificial intelligence methods in enhancing objective models for measuring the value stream costs in economic units. In order to confirm the legitimacy of the hypothesis, the researchers depended on the descriptive analytical technique and formulated a questionnaire in order to collect and review data using the Statistical Package for Social Sciences (SPSS). Following the conclusion of the study, the researchers concluded a list of results, the most noteworthy of which are: Artificial intelligence can enhance the precision of measuring the value stream costs by studying big data and determining patterns and trends. Artificial intelligence can additionally lessen human error in the process of measuring costs, hence yielding more credible results. The study concluded a list of recommendations, the most noteworthy of which are: It is possible to generate integrated models that unite financial and operational data in order to enhance the precision of measuring costs. New requirements can additionally be created for measuring the value stream costs in light of considering artificial intelligence techniques.