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Econometric Simulation for E-Business Strategy Evaluation

Author

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  • Lidan Ha

    (Copping State University, USA)

  • Guisseppi Forgionne

    (University of Maryland, Baltimore County, USA)

Abstract

Effective and efficient e-business strategy development is crucial to achieve a competitive advantage in the electronic marketplace. However, e-business strategy evaluation constitutes complex and dynamic challenges for business management. This article offers assistance for the evaluation process by applying a computer simulation that uses an econometric model delivered through a decision-making support system. The major econometric simulation logic and methodology introduced here covers multidisciplinary areas and is among the first attempts to identify and establish a comprehensive, quantitative tool to support the strategy development processes of e-businesses. The authors hope to shed some lights on e-business strategy research through this article.

Suggested Citation

  • Lidan Ha & Guisseppi Forgionne, 2006. "Econometric Simulation for E-Business Strategy Evaluation," International Journal of E-Business Research (IJEBR), IGI Global, vol. 2(2), pages 38-53, April.
    • Handle: RePEc:igg:jebr00:v:2:y:2006:i:2:p:38-53
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jebr.2006040103
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    Cited by:

    1. Bolotova, Yuliya V., 2023. "Market Power in the U.S. Beef Packing Industry," 2023 Annual Meeting, July 23-25, Washington D.C. 336707, Agricultural and Applied Economics Association.
    2. Bolotova, Yulia V., 2023. "Market Power in the U.S. Dairy Industry," Applied Economics Teaching Resources (AETR), Agricultural and Applied Economics Association, vol. 5(2), March.
    3. Samà, Danilo, 2008. "Competition policy, cartel enforcement and leniency program," MPRA Paper 103120, University Library of Munich, Germany.

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