基于顾客社会关系对转换成本前项的扩展研究（英文）

The effects of customers' social ties on switching costs have recently attracted researchers' attention.This study formally included customers' social ties as a new antecedent to supplement those elucidated by Burnham in 2003.Through empirical research,this study successfully verified the reliability and validity of items created to measure social ties,and it demonstrated the facilitating effects of social ties as an antecedent on customers' procedural and relational switching costs.Finally,the study lists managerial implications aimed at retaining customers through knowledge of this added antecedent.     

基于RST-QFD-Bayes的新型装甲装备通用质量特性评价指标体系构建研究

针对新型装甲装备通用质量特性评价指标体系难以确定的问题,在明确评价指标体系构建原则的基础上,结合新型装甲装备特点,确定了通用质量特性初始评价指标及指标筛选要求,运用QFD将新型装甲装备通用质量特性需求映射为评价指标筛选要求,采用粗糙集理论(Rough Set Theory,RST)确定了指标筛选重要度,考虑到关联度的不确定性及多个专家估计值的平均值和估计值的波动程度,将贝叶斯理论引入关系矩阵的确定中,用区间数确定了关联度,进行了评价指标筛选,构建了新型装甲装备通用质量特性评价指标体系,为新型装甲装备通用质量特性评价奠定了基础。     

企业绩效指标网络研究：以中国通信企业为例

Performance indicators play some impor-tant roles in enterprise operation. Both researchers and managers have recently pointed out that the identification of correlation between different per-formance indicators may lead to a better under-standing of business. However, it is becoming more and more difficult to measure and analyze these in-dicators since the fast growing number of perform-ance indicators and the complex relationships be-tween them. The existing categories failed to reflect these changes in an adequate way, and the quantita-tive analysis methods for identifying the characters of those performance indicators are still worthy of investigation. The main objective of this paper is to propose a practical methodology for managing and analyzing performance indicators in enterprises, which focuses on building up a performance indica-tor system and discovering the characters of those performance indicators by applying complex net-work methods. The empirical results of a telecom-munication enterprise show that the proposed meth-od can be effective in understanding the correlations between performance indicators.