基于BP神经网络的在线旅游服务创新评价  

Online Travel Service Innovation Evaluation Based on BP Neural Network

作　　者：赖玲玲[1] 彭丽芳[2] LAI Ling-ling;PENG Li-fang(E-commerce Service and Development Ins t itute for SMES, Xiamen City Universi ty, Xiamen 361008, China;Department of Management , Xiamen University, Xiamen 361005, Chin)

机构地区：[1]厦门城市职业学院中小企业电子商务化服务和发展研究所,福建厦门361008 [2]厦门大学管理学院,福建厦门361005

出　　处：《江南大学学报（人文社会科学版）》2018年第2期111-117,共7页Journal of Jiangnan University：Humanities & Social Sciences Edition

基　　金：国家社科基金一般项目"提高我国现代服务业水平问题研究"(08BJY115);福建省社会科学规划项目"基于电子商务链的网络商品经营者信用评价体系研究"(FJ2015B202)

摘　　要：随着在线旅游的快速发展,如何评价其服务创新的有效性是旅游电子商务的一个重要问题。基于服务创新理论的文献研究,确定以BP神经网络方法来评价在线旅游服务创新。依据在线旅游服务行业的特点和相关理论构建在线旅游服务创新的评价指标体系,选取行业内旅游电子商务服务提供商进行实证研究,利用MATLAB构建评价模型,对该模型进行仿真实验。研究结论表明综合了创新环境、创新投入、创新过程、技术支持以及创新产出的评价指标体系具有科学性和确定性,克服了评价指标的模糊性;并验证了基于BP神经网络的在线旅游服务创新评价模型,能有效克服评价的随机性和误差。With the rapid development of online tourism,how to evaluate the effectiveness of service innovation is an important issue of tourism e-commerce.Based on the literature study on service innovation theory,it selects BP neural network method to evaluate online travel service innovation.It constructs evaluation index system of online travel service innovation on the basis of the characteristics and the related theory of online travel service industry,and then chooses tourism e-commerce service providers to conduct empirical research,utilizes MATLAB to build the evaluation model,and takes simulation of this model.The conclusions of this study show that the evaluation index system including innovation environment,innovation input,innovation process,technical support and innovation output are scientific and determinate,it can overcome the ambiguity of evaluation index,verify the evaluation model of online travel service innovation based on BP neural network and can overcome the randomness and errors of evaluation effectively.

关 键 词：在线旅游 旅游电子商务 BP神经网络 服务创新评价 

分 类 号：F49[经济管理—产业经济] F592