New Opportunities and Challenges of Smart Government Budgeting In the age of Artificial Intelligence
1- University of Isfahan and Head of the Quarterly Accounts Department of the Statistical Center of Iran, Tehran, Iran , meisam.haddad66@gmail.com
2- from Tabriz University and expert at the National Bank of Iran, Tehran, Iran.
2- from Tabriz University and expert at the National Bank of Iran, Tehran, Iran.
Abstract: (130 Views)
Governments in the early 21st century are faced with challenging market dynamics and continuous changes caused by diverse and disruptive innovations, such as the Internet of Things, the Internet of Services, big data analytics, or artificial intelligence. These innovations also affect the way governments budget, so discussions about budgeting effectiveness are important for practitioners and researchers. Smart government is able to ensure solution-oriented budgeting approaches to solve budgeting obstacles, such as eliminating managers' motivation and innovative power, while ensuring strict accuracy in achieving smart government goals. Therefore, in the present study, using a descriptive-analytical method, the opportunities and challenges of artificial intelligence in the field of government budgeting were described and the question of how and to what extent artificial intelligence offers opportunities to improve existing budgeting approaches was answered. This research is the result of a literature review that uses the critical perspectives and analyses of other authors on budgeting approaches and combines them with the latest research on smart government and artificial intelligence in government budgeting. The results indicate that an AI-based budgeting approach can accelerate the budget allocation process and increase the accuracy and dynamism of budgeting by using more sophisticated analysis methods, which may provide new insights for decision makers. Also, the failure to neglect soft budgeting factors is one of the weaknesses of the AI-based budgeting approach that should be given special attention. In this regard, it is recommended that researchers identify the success factors of budgeting processes with insight into new economic, sociological, and psychological studies and apply an AI-based approach to remove budgeting obstacles.
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