A Risk-based Real Options Framework for Flexible Technology Planning

Juite Wang, Chuan-Hung Cheng, Yung-I Lin, Chih-Hsin Chang

2016

Abstract

Although the importance of R&D is well understood by technology-based firms, with the increasing uncertainty in technology development and market trends in recent years, managing uncertain R&D projects to enhance competitive technological position is still a major challenge for those firms. This research develops a technology planning framework that integrates R&D risk management with real options analysis enables technology-based firms to allocate their limited R&D resources with managerial flexibility for maximizing the expected market value of R&D project under uncertainty. The proposed technology planning framework consists of four stages: technology roadmapping, risk identification, risk response planning, and flexible plan optimization. Since technology development usually involves great uncertainty at early R&D stages, the Monte-Carlo simulation optimization technique is applied to evaluate and select optimal technology plans under different scenarios. The developed methodology is illustrated with a case study of ASIC power module technology development project in Taiwan.

References

  1. Black, F. and Scholes, M. 1973, The pricing of options and corporate liabilities. Journal of Political Economy, 81, 637-654.
  2. Black, F. and Scholes, M. 1973, The pricing of options and corporate liabilities. Journal of Political Economy, 81, 637-654.
  3. Brandao, L. E., Dyer, J. S. and Hahn, W. J. 2005, Using binomial decision trees to solve real-option valuation problems. Decision Analysis, 2, 69-88.
  4. Chapman, C. and Ward, S. 2003, Project Risk Management: Processes, Techniques and Insights: Wiley.
  5. Cox, J., Ross, S. and Rubinstein, M. 1979, Option pricing: A simplified approach. Journal of Financial Economics, 7, 229-264.
  6. Dixit, A. K. and Pindyck, R. S. 1994, Investment under Uncertainty. Princeton, N.J.: Princeton University Press.
  7. Fu, M. C. 2002, Optimization for Simulation: Theory vs. Practice. INFORMS Journal on Computing, 14, 192- 215.
  8. Huchzermeier, A. and Loch, C. H. 2001, Project management under risk: Using the real options approach to evaluate flexibility in R&D. Management Science, 47, 85-101.
  9. Kappel, T. A. 2001, Perspectives on roadmaps: how organizations talk about the future. Journal of Product Innovation Management, 18, 39-50.
  10. Lee, S., Yoon, B., Lee, C. and Park, J. 2009, Business planning based on technological capabilities: Patent analysis for technology-driven roadmapping. Technological Forecasting and Social Change, 76, 769-786.
  11. Owen, T. G., Mitchell, S. D., Ncube, S. M. and Rashid, M. H. 2008, Applications and Market Analysis of DC-DC Converters International Conference on Electronic and Computer Engineering. Dhaka: IEEE, 887-891.
  12. Petrick, I. J. and Echols, A. E. 2004a, Technology roadmapping in review: A tool for making sustainable new product development decisions. Technological Forecasting and Social Change, 71, 81-100.
  13. Petrick, I. J. and Echols, A. E. 2004b, Technology roadmapping in review: A tool for making sustainable new product development decisions. Technological Forecasting and Social Change, 71, 81-100.
  14. Phaal, R., Farrukh, C. J. P. and Probert, D. R. 2004, Technology roadmapping - a planning framework for evolution and revolution. Technology Analysis & Strategic Management, 71, 5-26.
  15. Piachaud, B. S. 2002, Outsourcing in the pharmaceutical manufacturing process: an examination of the CRO experience. Technovation, 22, 81-90.
  16. Pich, M. T., Loch, C. H. and De Meyer, A. 2002, On uncertainty, ambiguity, and complexity in project management. Management Science, 48, 1008-1023.
  17. Rubinstein, R. Y. and Kroese, D. P. 2007, Simulation and the Monte Carlo Method. New York: John Wiley & Sons.
  18. Saritas, O. and Aylen, J. 2010, Using scenarios for roadmapping: The case of clean production. Technological Forecasting and Social Change, 77, 1061-1075.
  19. Song, Y. I., Lee, D. H., Lee, Y. G. and Chung, Y. C. 2007, Managing uncertainty and ambiguity in frontier R&D projects: A Korean case study. Journal of Engineering and Technology Management, 24, 231-250.
  20. Trigeorgis, L. 1996, Real Options: Managerial Flexibility and Strategy in Resource Allocation Cambridge, MA: The MIT Press.
  21. Walsh, S. T. 2004, Roadmapping a disruptive technology: A case study: The emerging microsystems and topdown nanosystems industry. Technological Forecasting and Social Change, 71, 161-185.
  22. Wang, J., Lin, W. and Huang, Y. H. 2010, A performanceoriented risk management framework for innovative R&D projects. Technovation, 30, 601-611.
  23. Wang, J., Wang, C. Y. and Wu, C.-Y. 2015, A real options framework for R&D planning in technology-based firms. Journal of Engineering and Technology Management, 35, 93-114.
  24. Wang, J. and Yang, C.-Y. 2012, Flexibility planning for managing R&D projects under risk. International Journal of Production Economics, 135, 823-831.
  25. Yoon, B., Phaal, R. and Probert, D. 2008, Morphology analysis for technology roadmapping: application of text mining. R&D Management, 38, 51-68.
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Paper Citation


in Harvard Style

Wang J., Cheng C., Lin Y. and Chang C. (2016). A Risk-based Real Options Framework for Flexible Technology Planning . In Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-171-7, pages 279-286. DOI: 10.5220/0005736702790286


in Bibtex Style

@conference{icores16,
author={Juite Wang and Chuan-Hung Cheng and Yung-I Lin and Chih-Hsin Chang},
title={A Risk-based Real Options Framework for Flexible Technology Planning},
booktitle={Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2016},
pages={279-286},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005736702790286},
isbn={978-989-758-171-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - A Risk-based Real Options Framework for Flexible Technology Planning
SN - 978-989-758-171-7
AU - Wang J.
AU - Cheng C.
AU - Lin Y.
AU - Chang C.
PY - 2016
SP - 279
EP - 286
DO - 10.5220/0005736702790286