Analysis of Improvement Factors for Local Settlement Intention of Natives of Local City Focused on Experience of Relocating at Entrance into University and a Hometown Area: Proposal and Application of a Customer Satisfaction Analysis Based on a Three-dimension Customer Satisfaction Space

Q4 Social Sciences
Kouhei KIKUCHI, Soushi SUZUKI
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引用次数: 0

Abstract

Half the municipalities in Japan might disappear because of depopulation by 2040. The reasons for this include relocating from a hometown to the Tokyo area with getting employment or entering into university. Therefore, it is considered that each municipality is required to understand the factors for local settlement and to promote local settlement through the U-turn or J-turn. Customer satisfaction (CS) analysis is among the methods for searching improvement factors using CS space which has an axis of satisfaction degree of each evaluation item and axis of importance which are simple correlation coefficients between a comprehensive evaluation and each evaluation item. But above-mentioned general CS analysis is problematic in which each importance of each evaluation item cannot be deemed a unique improvement effect. Based on these backgrounds, we newly propose three-dimension CS space which enable CS analysis considering both the simple improvement effect and unique improvement effect of each evaluation item. We also explore the improvement factors for the local settlement intention of natives of a local city in Japan focusing on the experience of relocating at entrance into university and a hometown area applying CS analysis based on the three-dimension CS space.
基于大学入学和家乡搬迁经验的地方城市居民本地定居意愿提升因素分析——基于三维客户满意度空间的客户满意度分析的提出与应用
到2040年,日本一半的自治市可能会因为人口减少而消失。其原因包括从家乡搬到东京地区就业或进入大学。因此,我们认为,每个城市都需要了解当地定居的因素,并通过u型或j型的转变来促进当地定居。顾客满意度分析是利用顾客满意度空间寻找改进因素的一种方法,顾客满意度空间有一个轴是每个评价项目的满意度,重要度轴是一个综合评价与每个评价项目之间的简单相关系数。但上述一般性CS分析存在问题,不能将每个评价项的每个重要性视为唯一的改进效果。基于这些背景,我们提出了三维的CS空间,使得CS分析可以同时考虑每个评价项目的简单改进效果和独特改进效果。并以日本某地方城市居民的升学搬迁经历和家乡地区为研究对象,运用基于三维CS空间的CS分析,探讨了当地城市居民当地定居意愿的改善因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Studies in Regional Science
Studies in Regional Science Social Sciences-Social Sciences (all)
CiteScore
0.10
自引率
0.00%
发文量
12
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