摘要
农业具有地域性、季节性等特征,因此农业信息服务对象的信息需求相对复杂,通过构建信息服务质量评价模型可以分析影响信息服务质量的影响因素,为农业信息服务提供指导。为此,建立了农业网站信息服务质量评价的指标体系,综合因子分析和多元回归方法构建了一种贴合实际、可信度较高的评价模型。经实验证明,运用基于因子分析和多元回归建立的信息服务质量评价模型具有良好的精度,对农业信息网站的信息服务质量的提高具有一定的指导意义。
Agriculture has the characteristcs of region and season,showing a relative complex information demand in the service object of agriculture information,the factors influence information service quality can be analyzed by the construction of information service quality evaluation model,and providing guidance for agricultural inforamtion service. The index system of agricultural websites information service quality evaluation is constructed in this paper,the approaches of comprehensive factors analysis and multiple regression build an evaluation model of being close to practice and relative high credibility. The experiment proves that the information service quality evaluation model constructed by factors analysis and multiple regression has a good accurancy,and it has a certain significnace to guide the improvement of information service quality for agricultural information websites.
出处
《农机化研究》
北大核心
2014年第9期11-17,共7页
Journal of Agricultural Mechanization Research
基金
"十二五"国家科技支撑计划项目(2011BAD21B02)
北京市自然科学基金项目(4122034)
关键词
因子分析
多元回归
农业信息服务
服务质量评价
factor analysis
multiple regression
agricultural information service
service quality evaluation