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R & D Management
Oxford : Blackwell Publishing Limited
ISSN : 0033-6807
년5회

Research and development target-setting difficulties addressed through the emergent method: technology forecasting using data envelopment analysis

2012-09-10

Ann-Marie Lamb | Department of Engineering and Technology Management, Portland State University
Timothy R Anderson | Department of Engineering and Technology Management, Portland State University
Tugrul Daim | Department of Engineering and Technology Management, Portland State University

Vol.42 No.4 , pp.327 ~ 341

초록

Creativity training is used by many organizations in an attempt to improve the innovativeness of their employees, yet there has been relatively little systematic evaluation carried out of the impact of such training. This study reports on the evaluation of the effectiveness of a theory of inventive problem solving (TRIZ)-based creativity training program in a major international engineering firm. Cross-sectional, longitudinal and multisource evaluation strategies were used to assess the impact of the training on a sample of design engineers (n?=?123) and to make comparisons with nontrainees (n?=?96). Results indicate that participation in TRIZ training led to short-term improvements in both the creative problem-solving skills and motivation to innovate of engineers, and these were associated with longer term improvements in their idea suggestion in the workplace. There was variable support for the translation of these ideas into new innovations and improved performance at work as a result of the training. Theoretical and practical implications for enhancing the effectiveness of creativity training interventions are discussed.

참고문헌

  • Altshuller, G. | Altov, H (1996) , And Suddenly the Inventor Appeared: TRIZ, the Theory of Inventive Problem Solving : Technology Innovation Centre
  • Bremser, W.G. | Barsky, N.P (2004) , Utilizing the balanced scorecard for R&D performance measurement , R&D Management , VOL.34 No.3 , pp.229 ~ 238
  • Inman, O.L. (2004) , Technology forecasting using data envelopment analysis : Portland State University