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Iterative Dichotomiser Decision Tree for Risk Analysis in Innovation Management

Author

Listed:
  • Hassan Arabshahi

    (Mazandaran University of Science and Technology, Babol, Iran)

  • Hamed Fazlollahtabar

    (Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran)

Abstract

This paper proposes a three phase framework for classifying innovative activities based on the corresponding calculated risk. In the developed model, the innovative activities are collected from the literature and are classified into risk classes using decision tree and Iterative Dichotomiser 3 (ID3) algorithm. The resulting rules of the tree can be proper information resources for innovators, investors and predictors of the innovation and related sector to take the best decision about their innovation, investment and risk management.

Suggested Citation

  • Hassan Arabshahi & Hamed Fazlollahtabar, 2016. "Iterative Dichotomiser Decision Tree for Risk Analysis in Innovation Management," International Journal of Risk and Contingency Management (IJRCM), IGI Global, vol. 5(4), pages 16-26, October.
    • Handle: RePEc:igg:jrcm00:v:5:y:2016:i:4:p:16-26
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