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  1. Identifying arbitrage opportunities in retail markets with artificial intelligence.Jitsama Tanlamai, Warut Khern-Am-Nuai & Yossiri Adulyasak - forthcoming - AI and Society:1-16.
    This study uses an artificial intelligence (AI) model to identify arbitrage opportunities in the retail marketplace. Specifically, we develop an AI model to predict the optimal purchasing point based on the price movement of products in the market. Our model is trained on a large dataset collected from an online marketplace in the United States. Our model is enhanced by incorporating user-generated content (UGC), which is empirically proven to be significantly informative. Overall, the AI model attains more than 90% precision (...)
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  • Intelligent agents as innovations.Alexander Serenko & Brian Detlor - 2004 - AI and Society 18 (4):364-381.
    This paper explores the treatment of intelligent agents as innovations. Past writings in the area of intelligent agents focus on the technical merits and internal workings of agent-based solutions. By adopting a perspective on agents from an innovations point of view, a new and novel description of agents is put forth in terms of their degrees of innovativeness, competitive implications, and perceived characteristics. To facilitate this description, a series of innovation-based theoretical models are utilized as a lens of analysis, namely (...)
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