基于ISM和AHP-Entropy的家庭儿童培训消费决策影响因素研究

发布时间：2018-02-22 10:35

本文关键词： 家庭消费儿童培训解析结构模型 AHP-Entropy　出处：《系统科学学报》2017年04期 　论文类型：期刊论文

【摘要】：儿童参加课外培训班是我国教育市场上一道独特风景,属于典型的家庭教育消费决策行为。本文在家庭决策理论的基础上,首先,从文献资料收集、专家访谈和实际调查中,系统梳理总结了家庭儿童培训消费决策过程的影响因素,具体分为家庭(父母)、子女、培训企业、需求决策过程和区域环境5个方面,共19个因素;其次,运用系统工程学的解析结构模型法(ISM)将影响因素分为表层直接影响因素和深层根本影响因素,构建了反映各影响因素路径关系的结构模型;之后,运用层次分析法(AHP)和熵值法(Entropy)相结合的AHP-Entropy综合法来确定表层直接影响因素的权重值;最后,根据实际调查以儿童年龄为依据,将儿童参加培训的过程划分为四个阶段,发现不同阶段中父母和儿童两方面包含的5个因素的影响程度发生变化,并进一步运用AHP-Entropy综合法对这5个因素分阶段计算权重值并作比较分析。
[Abstract]:The participation of children in extracurricular training courses is a unique landscape in the education market of our country, which belongs to the typical family educational consumption decision making behavior. Based on the family decision theory, this paper, first of all, from the literature collection, expert interviews and actual investigation, This paper systematically summarizes the influencing factors of family children's training and consumption decision-making process, including family (parents, children, training enterprises, demand decision-making process and regional environment), a total of 19 factors. By using the analytical structural model method of system engineering, the influence factors are divided into the surface direct influence factors and the deep fundamental influence factors, and the structural model reflecting the path relationship of each influence factor is constructed. The AHP-Entropy synthesis method combined with the analytic hierarchy process (AHP) and the entropy method (Entropy) is used to determine the weight value of the direct influence factors on the surface layer. Finally, according to the actual investigation, the process of children participating in the training is divided into four stages, according to the actual investigation, the process of children participating in the training is divided into four stages. It was found that the influence degree of the five factors included in parents and children changed in different stages, and the weight values of the five factors were calculated and compared with each other by using AHP-Entropy synthesis method.
【作者单位】：桂林电子科技大学;
【基金】：广西战略性新兴产业发展研究中心国家自然科学基金项目(71262015) 广西高等学校人文社会科学研究项目(SK13YB037) 桂林电子科技大学研究生科研创新项目(YJCXS201546)
【分类号】：G40-054;G78

【相似文献】