Managing technological innovation

Managing technological innovation

Article Type: Guest editorial From: Journal of Technology Management in China, Volume 5, Issue 1

About the Guest Editor

Tugrul DaimAssociate Professor in the Department of Engineering and Technology Management at Portland State University. His research areas include technology management, technology forecasting and R&D Management. Prior to his current role, he was at Intel Corporation where he held several management positions between 1995 and 2005. His papers have been published in Technology Forecasting and Social Change, International Journal of Innovation and Technology Management, Technovation, Journal of High Technology Management Research, Engineering Management Journal and Foresight. He received his BS in Mechanical Engineering from Bogazici University in 1989, MS in Mechanical Engineering from Lehigh University in 1991, MS in Engineering Management from Portland State University in 1994 and PhD in Systems Science-Engineering Management from Portland State University in 1998.

This issue is compiled from papers presented at a prior Portland International Conference on Engineering and Technology Management. The papers deal with several aspects of managing technological innovation.

The first paper, by Wu Wei-wei, Liang Da-peng, Yu Bo, and Yang Ying examines strategic planning for technology management. The authors developed a model, which is based on the capability maturity model and fitness landscape theory.

The next three papers study behavioral elements which need to be considered carefully in managing technological innovations. The second paper, by Wan-Yu Chen, Calvin S. Weng and Hui-Ying Hsu studied entrepreneurship by applying the Chinese entrepreneur aptitude scale to Taiwanese youth. The third paper, by Bi-Fen Hsu, Wan-Yu Chen, Mei-Ling Wang and Yen-Yu Lin explores the relationship between supervisory support and work-family conflict. The fourth paper, by Chun-Te Lin, explores relationships in the workplace including the R&D department.

The final two papers present tools for evaluating technological innovations. Chen-Chun Lin, Ying-Hwa Tang, Joseph Z. Shyu, and Yi-Ming Li present a novel method of integrating multiple theories for forecasting technological innovations. Wen-Hsiang Lai, Pao-Long Chang, and Ying-Chyi Chou demonstrate the use of an enhanced multi-criteria decision model for evaluation of research and development projects.

Tugrul DaimGuest Editor