Artificial Intelligence Trends: Insights for Digital Economy Policymakers

Abstract

and results of this strategy, needs to be systematized. studied AI applied to project success, to understand how to minimize the negative economic impact of delay in projects, so AI can help with alternative tools for project success prediction to estimate project success or identify critical factors of success. In another perspective, Dhamija and Bag [12] studied the role of artificial intelligence in the operations environment. Finally, von Krogh [47] refers in his study that AI in organizations provides new avenues for decision-making and problem-solving, signifying that this current research is even more necessary.Analyzing all these studies, we concluded that there is still space in this field to study how AI is related to decision-making processes, for policymakers to create public policies with value for the industry and citizens. This is a link that is missing from the literature and is the main innovation of our research. The study presents a holistic review of the literature, namely, theoretical frameworks, and practical AI experience. It reports on the state of the art for AI, based on a bibliometric analysis regarding the research made in the last 5 years and indexed in the two major scientific databases: Scopus and Web of Science. The sample is made of the papers that include the keyword "artificial intelligence," and from this research, we intend to answer the following research questions: RQ1: What are the main keywords present in the studies of artificial intelligence? RQ2: Which areas of research are being studied in artificial intelligence studies? RQ3: Which technologies are related to artificial intelligence?The study is organized as follows: the second section presents a conceptual approach to AI, and the third section presents the decision-making processes related to AI. The following section provides a bibliometric analysis, and the final section is devoted to policy insights and conclusions.

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