The article analyses several key issues which restrict the effectiveness of fund project peer review work. It analyses the evaluating theory and matter-element theory to access the expert anti-evaluation model, and al...The article analyses several key issues which restrict the effectiveness of fund project peer review work. It analyses the evaluating theory and matter-element theory to access the expert anti-evaluation model, and also studies the expert anti-evaluation index system to support the anti-evaluation method. The practical basis is the true score data of the experts which is collected from the actual anti-evaluation in Liaoning province science and technology fund project peer review system. With the practical experience of the actual project, we prove that the expert index system anti-evaluation model and expert anti-evaluation method can improve the fund project peer review work and play a positive role for the peer review work and also make the review work more scientific and more rational.展开更多
Perceived quality is consumers’subjective perceptions of a product’s attributes,which directly influences the overall evaluation of the product.Existing research has suggested that the perceived quality of attribute...Perceived quality is consumers’subjective perceptions of a product’s attributes,which directly influences the overall evaluation of the product.Existing research has suggested that the perceived quality of attributes has an asymmetric effect on the overall evaluation,but limited research has been conducted on this asymmetric effect in the automobile industry and the moderating effect of sentiment.This paper investigates the asymmetric effect of perceived quality on overall evaluation using social media data from the automobile industry.First,the asymmetric effect of perceived quality on overall evaluation was identified for different attributes using penalty-reward contrast analysis(PRCA),and attribute classification was realized by calculating the IA index,i.e.,Appearance is an excitement attribute and the remaining attributes are basic attributes.Second,the differences in the asymmetric effects of each attribute category were analyzed,and the basic attributes were found to have a greater effect on the overall evaluation,with a positive moderating effect of sentiment on the effect.This study contributes to perceived quality research as well as consumer evaluation research and provides manufacturers with a prioritization method for attribute improvement.展开更多
This paper studies how to determine task allocation schemes according to the status and require-ments of various teams, to achieve optimal performance for a knowledge-intensive team （KIT）, whichis different from tra...This paper studies how to determine task allocation schemes according to the status and require-ments of various teams, to achieve optimal performance for a knowledge-intensive team （KIT）, whichis different from traditional task assignment. The way to allocate tasks to a team affects task processingand, in turn, influences the team itself after the task is processed. Considering the knowledge require-ment of tasks as a driving force and that knowledge exchange is pivotal, we build a KIT system modelbased on complex adaptive system theory and agent modeling technology, design task allocation strat-egies （TASs） and a team performance measurement scale utilizing computational experiment, and an-alyze how different TASs impact the different performance indicators of KITs. The experimental re-sults show the recommend TAS varies under different conditions, such as the knowledge levels ofmembers, team structures, and tasks to be assigned, particularly when the requirements to the team aredifferent. In conclusion, we put forward a new way of thinking and methodology for real task alloca-tion problems and provide support for allocation decision makers.展开更多
文摘The article analyses several key issues which restrict the effectiveness of fund project peer review work. It analyses the evaluating theory and matter-element theory to access the expert anti-evaluation model, and also studies the expert anti-evaluation index system to support the anti-evaluation method. The practical basis is the true score data of the experts which is collected from the actual anti-evaluation in Liaoning province science and technology fund project peer review system. With the practical experience of the actual project, we prove that the expert index system anti-evaluation model and expert anti-evaluation method can improve the fund project peer review work and play a positive role for the peer review work and also make the review work more scientific and more rational.
基金supported in part by the National Natural Science Foundation of China under Grant No.71871041,and the China Scholarship Council under Grant No.202106060118.
文摘Perceived quality is consumers’subjective perceptions of a product’s attributes,which directly influences the overall evaluation of the product.Existing research has suggested that the perceived quality of attributes has an asymmetric effect on the overall evaluation,but limited research has been conducted on this asymmetric effect in the automobile industry and the moderating effect of sentiment.This paper investigates the asymmetric effect of perceived quality on overall evaluation using social media data from the automobile industry.First,the asymmetric effect of perceived quality on overall evaluation was identified for different attributes using penalty-reward contrast analysis(PRCA),and attribute classification was realized by calculating the IA index,i.e.,Appearance is an excitement attribute and the remaining attributes are basic attributes.Second,the differences in the asymmetric effects of each attribute category were analyzed,and the basic attributes were found to have a greater effect on the overall evaluation,with a positive moderating effect of sentiment on the effect.This study contributes to perceived quality research as well as consumer evaluation research and provides manufacturers with a prioritization method for attribute improvement.
文摘This paper studies how to determine task allocation schemes according to the status and require-ments of various teams, to achieve optimal performance for a knowledge-intensive team （KIT）, whichis different from traditional task assignment. The way to allocate tasks to a team affects task processingand, in turn, influences the team itself after the task is processed. Considering the knowledge require-ment of tasks as a driving force and that knowledge exchange is pivotal, we build a KIT system modelbased on complex adaptive system theory and agent modeling technology, design task allocation strat-egies （TASs） and a team performance measurement scale utilizing computational experiment, and an-alyze how different TASs impact the different performance indicators of KITs. The experimental re-sults show the recommend TAS varies under different conditions, such as the knowledge levels ofmembers, team structures, and tasks to be assigned, particularly when the requirements to the team aredifferent. In conclusion, we put forward a new way of thinking and methodology for real task alloca-tion problems and provide support for allocation decision makers.
