The purpose of this study is to research the impact of black marketing on consumer purchasing decisions in Iraq. Special attention will be paid to the fact that digital marketplaces have enabled the development of illegal trade. AI-driven analytical tools and traditional research methods will be used to investigate economic, social, and political factors that make consumers engage in black markets. The results suggest that black marketing affects consumer behavior significantly and political reasons such as lower prices due to illegal production and delivery of goods underline this necessity. In addition, the phenomenon cannot but have negative implications for the national economy, including contributing to the closure of legal businesses and increasing gaps between the rich and the poor. AI tools, including machine learning and natural language processing, were integrated into the analysis of this social issue, which provided a more profound and nuanced understanding of the factors contributing to these dynamics, insights which could not be achieved through traditional methods. Overall, the study contributes to the field in terms of information and insights by outlining how AI can be used in market analysis and providing recommendations for policies and businesses. It is possible to outline recommendations such as the implementation of strict regulations, launching public awareness campaigns, and using AI to monitor and track black marketing. Overall, the insights are based on the information concerning the use of AI and Big Data in determining the unique challenges and opportunities for the use of AI in black marketing tracking and elimination, highlighting the importance of considering the multifaceted nature of the impact and providing a basis for further analysis in this manner.

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The Impact of Black Marketing on Purchasing Decisions: An Exploratory Study Using AI-Driven Analytical Tools

  • Rasha F. Mustafa

摘要

The purpose of this study is to research the impact of black marketing on consumer purchasing decisions in Iraq. Special attention will be paid to the fact that digital marketplaces have enabled the development of illegal trade. AI-driven analytical tools and traditional research methods will be used to investigate economic, social, and political factors that make consumers engage in black markets. The results suggest that black marketing affects consumer behavior significantly and political reasons such as lower prices due to illegal production and delivery of goods underline this necessity. In addition, the phenomenon cannot but have negative implications for the national economy, including contributing to the closure of legal businesses and increasing gaps between the rich and the poor. AI tools, including machine learning and natural language processing, were integrated into the analysis of this social issue, which provided a more profound and nuanced understanding of the factors contributing to these dynamics, insights which could not be achieved through traditional methods. Overall, the study contributes to the field in terms of information and insights by outlining how AI can be used in market analysis and providing recommendations for policies and businesses. It is possible to outline recommendations such as the implementation of strict regulations, launching public awareness campaigns, and using AI to monitor and track black marketing. Overall, the insights are based on the information concerning the use of AI and Big Data in determining the unique challenges and opportunities for the use of AI in black marketing tracking and elimination, highlighting the importance of considering the multifaceted nature of the impact and providing a basis for further analysis in this manner.