Human survival and develop-ment are closely linked with the lifesciences. Agriculture, population,medicine, the environment andecology, all of them are inseparablefrom the development of life sci-ences and technologie...Human survival and develop-ment are closely linked with the lifesciences. Agriculture, population,medicine, the environment andecology, all of them are inseparablefrom the development of life sci-ences and technologies, and it is onlife sciences that the human racedepends for sustainable economicdevelopment in the future.展开更多
Purpose:This research focuses on comparing various service quality measures including disconfirmation measures(performance-minus-importance and performance-minus-expectation),performance-only measure,and importance-we...Purpose:This research focuses on comparing various service quality measures including disconfirmation measures(performance-minus-importance and performance-minus-expectation),performance-only measure,and importance-weighted measures(importance-weighted performance-only and importance-weighted disconfirmation)in a festival setting.It also explores the relationship between the constructs of service quality and other variables including visitors’perceptions of overall service quality,overall satisfaction,and future intentions.Reliability,convergent validity,discriminant validity,and predictive validity of five service quality measures are tested and compared.The result shows that the importance-weighted performance-only measure exhibits the highest reliability and validity.展开更多
The classical design of experiments （DOE） method can optimize systems with one technical response and multiple inputs. The objective of this study is to optimize multiple technical responses at the same time by inte...The classical design of experiments （DOE） method can optimize systems with one technical response and multiple inputs. The objective of this study is to optimize multiple technical responses at the same time by integrating fuzzy logic transformation into a DoE system. The transformation from technical responses to the individual fuzzy responses and the overall fuzzy response are first defined, and the fuzzy response system is established. The method used to optimize the overall fuzzy response is introduced and discussed. The results show that the established fuzzy response system can optimize systems with multiple technical responses and multiple inputs.展开更多
文摘Human survival and develop-ment are closely linked with the lifesciences. Agriculture, population,medicine, the environment andecology, all of them are inseparablefrom the development of life sci-ences and technologies, and it is onlife sciences that the human racedepends for sustainable economicdevelopment in the future.
文摘Purpose:This research focuses on comparing various service quality measures including disconfirmation measures(performance-minus-importance and performance-minus-expectation),performance-only measure,and importance-weighted measures(importance-weighted performance-only and importance-weighted disconfirmation)in a festival setting.It also explores the relationship between the constructs of service quality and other variables including visitors’perceptions of overall service quality,overall satisfaction,and future intentions.Reliability,convergent validity,discriminant validity,and predictive validity of five service quality measures are tested and compared.The result shows that the importance-weighted performance-only measure exhibits the highest reliability and validity.
基金Supported by the Quality Management Group, WZL, RWTH Aachen University
文摘The classical design of experiments （DOE） method can optimize systems with one technical response and multiple inputs. The objective of this study is to optimize multiple technical responses at the same time by integrating fuzzy logic transformation into a DoE system. The transformation from technical responses to the individual fuzzy responses and the overall fuzzy response are first defined, and the fuzzy response system is established. The method used to optimize the overall fuzzy response is introduced and discussed. The results show that the established fuzzy response system can optimize systems with multiple technical responses and multiple inputs.
