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Article
Publication date: 15 June 2010

Lieh‐Ming Luo and Her‐Jiun Sheu

The paper aims to evaluate the real research and development (R&D) options value through the proposed model that can jointly consider the two types of risk management activities…

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Abstract

Purpose

The paper aims to evaluate the real research and development (R&D) options value through the proposed model that can jointly consider the two types of risk management activities, i.e. hedging risks and making use of risks. Hedging is an important risk‐management tool that can diversify R&D risk internally since R&D organizations cannot transfer technological risks to another entity by conventional loss financing methods. Making use of risks means R&D organizations can benefit from proactively managing risks, and then can create management‐flexibility value from the real option reasoning viewpoint.

Design/methodology/approach

Using the real options pricing approach, the paper provides an applicable assessment method for R&D projects that can jointly consider the aforementioned two types of risk management activities. The paper also investigates the value‐enhancing effects of R&D risk management activities via interviews survey and secondary data analyses in the pharmaceutical industry of Taiwan.

Findings

Through numerical analyses, the results indicate that the hedging management can serve to be effective mechanisms of risk reduction as well as value enhancement for R&D projects. Additionally, the value‐enhancing effect of hedging management is more significant for those R&D projects with even higher risk‐level. The results of empirical study also are consistent with the model prediction.

Originality/value

To achieve great performance of R&D risk management, R&D organizations need to implement both the types of risk management activities. By this real‐options valuation approach incorporating together those risk management activities, R&D projects portfolio can be evaluated adequately.

Details

Kybernetes, vol. 39 no. 5
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 15 June 2010

Desheng Dash Wu

541

Abstract

Details

Kybernetes, vol. 39 no. 5
Type: Research Article
ISSN: 0368-492X

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