基于云模型和熵权理论的服务外包示范城市承接优势评估

An Approach for the Location Undertaking Advantage Assessment to Service Outsourcing Model Cities Based on Cloud Model and Entropy Weight

服务外包区位选择直接影响着外包项目的实施效果,而合理有效的评估方法是正确选择服务外包承接区位的重要工具。针对我国多个服务外包示范城市,通过三大类评估要素即基础商业环境、人力资源与技能、财务成本结构以及对应的9个评价因素,构建区位承接优势评价指标体系。利用云模型理论实现定性概念与定量表示之间的不确定性转换,解决了示范城市发展过程中存在的模糊性和随机性问题,并采用熵权系数法确定因素权重以减少传统权重确定方法带来的主观偏差,建立基于云模型和熵权理论的服务外包示范城市承接优势综合评判模型。实例分析表明,该评估模型简便可行,合理有效。

A reasonable and effective assessment method is important for the choice of service outsourcing undertaking areas. For the major service outsourcing model cities, the three aspects of basic business environment, financial cost structures and human resources and skills including nine influence factors are collected to construct undertaking advantage evaluation system. A new approach for the location undertaking Advantage assessment based on cloud model theory is proposed to solve the fuzzy and random problem in the assessment process, and the entropy theory is used to calculate the weights of influence factors to reduce the subjectivity. An illustrative example shows that the proposed method is feasible and effective.