Agent-based analysis and simulation of the consumer airline market share for Frontier Airlines

  • Authors:
  • John R. Kuhn, Jr.;James F. Courtney;Bonnie Morris;Eric R. Tatara

  • Affiliations:
  • School of Accountancy, College of Business, University of Louisville, Louisville, KY 40291, United States;Department of Management and Information Systems, College of Business, Louisiana Tech University, United States;Division of Accounting, College of Business and Economics, West Virginia University, United States;Center for Complex Adaptive Agent Systems Simulation, Decision and Information Sciences Division, Argonne National Laboratory, United States

  • Venue:
  • Knowledge-Based Systems
  • Year:
  • 2010

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Abstract

The complex and interconnected world in which organizations operate presents many challenges to the traditional neo-classical view of research and management and associated research techniques. Fundamental to the operation of financial capital markets, investor confidence relies on accurate investment analyst earnings forecasts. We propose agent-based modeling (ABM) as a viable tool to account for the interaction of local and environmental factors to determine organizational success. In an illustrative case study of Frontier Airlines, we develop and execute an ABM of Frontier's consumer airline market to derive market share for the upcoming year. In the model, Frontier is impacted by internal policies, competitors, and environmental factors of fuel costs, federal regulation, and credit availability. We conclude with a discussion on how ABM can be effectively incorporated into future research activities and decision-making situations.