Abstract

 


 



Decision Making & Consumers’ Behaviour: A Cognitive Game Approach


Dr. Ghada Gomaa A. Mohamed


King Abdul Aziz University; ECO-ENA: Economics & ECO-Engineering Associate, Inc.

February 2, 2012

Second Annual Conference of Economic Forum of Entrepreneurship & International Business @ ECO-ENA, Ottawa, Ontario, Canada, February 2-4, 2012

Abstract:     
This paper utilizes a theoretical analysis of a cognitive game approach to address the relationship between decision makers in the government of USA & consumers’ behaviour as an assessment of the payoff during the financial global crisis started in USA in the last quarter of 2007. The research starts with a strong assumption that the American consumer was the first node of a chain contains many other related economic variables and the reaction of consumers’ behaviour toward a specific government policy can affect all other sectors in a spiral manner. A cognitive game is utilized in this paper to explain consumers’ behaviours toward the expansionary government policies the government decided to adopt at times of the crisis. The paper also assumes a neural risk taker agent.

Keywords: government decision making, consumers’ spending, game theory analysis, the global financial crisis, USA

JEL Classification: G01, G02, H31, H53

working papers series


Date posted: February 11, 2012  

Suggested Citation

Mohamed, Dr. Ghada Gomaa A. , Decision Making & Consumers’ Behaviour: A Cognitive Game Approach (February 2, 2012). Second Annual Conference of Economic Forum of Entrepreneurship & International Business @ ECO-ENA, Ottawa, Ontario, Canada, February 2-4, 2012. Available at SSRN: http://ssrn.com/abstract=2002619

Contact Information

Ghada Gomaa A. Mohamed (Contact Author)
King Abdul Aziz University ( email )
Jeddah
Saudi Arabia
HOME PAGE: http://www.kau.edu.sa/Home.aspx?lng=AR
ECO-ENA: Economics & ECO-Engineering Associate, Inc. ( email )
1416 Squire Drive, Manotick,
Ottawa, Ontario, Canada
Ottawa, Ontario K4M 1B8
Canada
HOME PAGE: http://www.eco-ena.com
Feedback to SSRN (Beta)


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