Consumer response tendency and its implications for satisfaction and recommendation intention

IF 1.9 Q3 BUSINESS
Takumi Kato
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引用次数: 3

Abstract

ABSTRACT It is important to understand customer satisfaction and loyalty from the perspective of business and services. However, when comparing these indicators among multiple services, it is doubtful whether superiority or inferiority in customer satisfaction and loyalty is due to different levels of service quality. In other words, there is a possibility that consumer response tendency may differ depending on the service and the attributes of the respondent. Few academic studies address response tendency in this context. This study filled this gap in the literature and clarify response tendency by service type, which has not been sufficiently addressed until now. This study evaluates the response tendencies of satisfaction and recommendation intention by service and respondent using an integrated survey covering 20 types of services. As a result of one-way analysis of variance, a high score was confirmed for the car sharing and streaming industries, for which consumer recommendations are incorporated into services, and the moving industry scored highly due to a high level of transparency in operations. Additionally, the younger generation, who habitually post recommendations on social networks, showed a significantly higher recommendation intention. This study shows that understanding respond tendency in advance and excluding bias from data provides truer results.
消费者反应倾向及其对满意度和推荐意向的影响
从商业和服务的角度来理解顾客满意度和忠诚度是很重要的。然而,当在多种服务中比较这些指标时,顾客满意度和忠诚度的优劣是否是由于服务质量水平的不同而引起的,这是值得怀疑的。换句话说,消费者的反应倾向可能会根据服务和被调查者的属性而有所不同。在此背景下,很少有学术研究涉及反应倾向。本研究填补了这一文献空白,阐明了目前尚未得到充分解决的服务类型响应趋势。本研究采用涵盖20种服务类型的综合调查,评估服务和被调查者对满意度和推荐意向的回应倾向。单向方差分析结果显示,将消费者推荐纳入服务的汽车共享和流媒体行业得分较高,而移动行业因运营透明度高而得分较高。此外,习惯在社交网络上发布推荐的年轻一代,其推荐意愿明显更高。本研究表明,提前了解反应倾向,排除数据偏差,可以提供更真实的结果。
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
CiteScore
4.00
自引率
6.20%
发文量
21
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