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Approximation techniques were used instead of expensive computing analysis in a traditional parametric design optimization of a complex system. A Kriging meta‐model was utilized, which enabled the fit of approximated design characteristics for a complex system such as turbine blades that incorporate a large number of design variables and non‐linear behaviors. This paper aims to discuss these issues.

The authors constructed a Kriging meta‐model with a multi‐level orthogonal array for the design of experiments, which were used to optimize the fatigue life of turbine blades under cyclic rotational loads such as centrifugal force. By combining a seven‐level orthogonal array with the Kriging model, the non‐linear design space of fatigue life was explored and optimized.

A computer‐generated multi‐level orthogonal array provided a good representation of the non‐linear design space information. The results show that not only was the fatigue life of the leading edge of the blade root significantly improved, but also that the computing analysis was effective.

To maximize the fatigue life of the turbine blade, the three‐design variables with seven factor levels were optimized via a Kriging meta‐model. As with the optimization technique, a desirability function approach was adopted, which converted multiple responses into a single response problem by maximizing the total desirability.

This chapter complements the one that appeared as “History of the AIB Fellows: 1975–2008” in Volume 14 of this series (International Business Scholarship: AIB Fellows on the First 50 Years and Beyond, Jean J. Boddewyn, Editor). It traces what happened under the deanship of Alan Rugman (2011–2014) who took many initiatives reported here while his death in July 2014 generated trenchant, funny, and loving comments from more than half of the AIB Fellows. The lives and contributions of many other major international business scholars who passed away from 2008 to 2014 are also evoked here: Endel Kolde, Lee Nehrt, Howard Perlmutter, Stefan Robock, John Ryans, Vern Terpstra, and Daniel Van Den Bulcke.

The purpose of this paper is to examine the relationships among media exposure, general scientific knowledge and the public’s risk perceptions of bovine spongiform encephalopathy (BSE).

Data for this study are based on a survey of 1,001 South Korean adult consumers (502 females and 499 males). The data were analyzed using SPSS 17.0, and multiple linear regression was performed to examine the relationships between risk perceptions and the types of media channel exposure, as well as between risk perceptions and general scientific knowledge.

Results showed that among the measured socio-demographic characteristics, gender was a significant factor. With regard to the variability of media exposure, individuals who were exposed to more internet news were found to have higher risk perceptions in terms of how BSE could affect themselves, while respondents who were more exposed to social networking sites (SNSs) were concerned about how the disease could affect others.

This study provides additional evidence of the third-person effect in risk perceptions of BSE, filling scientific knowledge gaps. Hence, this study suggests that the types of media channels (internet news, television and SNSs) should be considered as significant predictors of risk perceptions about food hazards related to the health of the consumer and others.