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AI & Economy Environment Predict Consumer Behavioral Methods

AI & Economy Environment Predict Consumer Behavioral Methods

          
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About the Book

What is economic merits of deduction method? This method is near to reality. It is less time consuming and less expensive. the use of mathematical techniques in deducing theories of economics brings exactness and clarity in economic analysis. The deductive method is highly abstract. It require a great deal of care to avoid bad logic or faulty economic reasoning. This method makes conclusions to predict consumer behavior, due to reliance on imperfect and correct assumptions. It involves the process of reasoning from particular facts to general principle on the basic of experimentations, observations and statistical methods. In this method, data is collected about a certain economic phenomenon. There are systematically arranged and the general conclusions are drawn from them.What are the advantages of inductive method to predict consumer behavior? It is based on facts as such the method is realistic. In order to test the economic principles, method makes statistical techniques. The inductive method is therefore more reliable, inductive method is dynamic. The changing economic phenomenon are analyzed and on the conclusions and solutions are drawn from them and this method also helps in future consumer behavioral investigations.Recently, many researchers have studied pro-environmental consumption and household indexes as well as suicide rate predictions using messages posted by internet users on Google trend, Tweets etc. channel. Whether can environmental consumption be predicted by (AI) deep-learning technological internet channel? How can impact the pro-environmental consumption attitudes of green policies? Korea scientists estimated pro-environmental attitudes using search query data provided by Google trend and confirmed through regression analysis, that pro-environmental attitude has a positive correlation with the pro-environmental attitude index. They also explained that environment-friendly attitude of residents plan an important role in policy making. In the past, most household consumption indexed were calculated through surveys, but (AI) deep-learning technological tool " big data" have recently gained research attention ( Lee et al. 2016).


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Product Details
  • ISBN-13: 9798636721420
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 254 mm
  • No of Pages: 76
  • Series Title: Artificial Intelligence Social Influences
  • Weight: 231 gr
  • ISBN-10: 8636721423
  • Publisher Date: 13 Apr 2020
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 5 mm
  • Width: 203 mm


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