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Bayesian Network Analysis for the Questionnaire Investigation on Tourists’ Behavior in the View Point of Service Marketing

机译:服务营销视角下的游客行为问卷调查的贝叶斯网络分析

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Tourists from abroad are increasingrapidly in Japan. Kawazu town in Izu Peninsula is famous for its cherry trees.In the cherry blossom season, many tourists visit this town. The Kawazu CherryBlossom Festival was carried out in February 2015. Our research investigationwas performed during that period. In this paper, a questionnaire investigationis executed in order to clarify tourists’ behavior, and to seek the possibilityof developing regional collaboration among local government, tourism relatedindustry and visitors. In this research, we construct the model utilizingBayesian Network and causal relationship is sequentially chained by thecharacteristics of travelers, an objective to visit Izu Peninsula in Japan andthe main occasion to visit them. We analyzed them by sensitivity analysisbefore but some difficulty had arisen that there arises too much response whenthe item has small sample size. In this paper, small sample size items aredeleted and sensitivity analysis is conducted after that. The problem wasresolved by this operation. This analysis is well utilized in designing thestrategy of service marketing for this. To confirm the findings by utilizingthe new consecutive visiting records would be the future works to beinvestigated.Keywords: Tourism,Izu Peninsula, Kawazu Cherry Tree, Bayesian Network, Sensitivity analysis,service marketing.
机译:来自国外的游客在日本迅速增加。伊豆半岛的河津町以樱花树而闻名。在樱花盛开的季节,许多游客到访此镇。 Kawazu CherryBlossom节于2015年2月举行。在此期间,我们进行了研究调查。本文进行了问卷调查,以弄清游客的行为,并寻求在地方政府,旅游相关行业和游客之间发展区域合作的可能性。在这项研究中,我们利用贝叶斯网络构建模型,并且因果关系按旅行者的特征依次链接,这是访问日本伊豆半岛的目的,也是访问他们的主要场合。之前我们通过敏感性分析对其进行了分析,但是出现了一些困难,即当样本量较小时,会产生过多的响应。本文将删除小样本项目,然后进行敏感性分析。此操作解决了问题。为此,该分析在设计服务营销策略中得到了很好的利用。为了利用新的连续访问记录来确认调查结果,将是未来将要研究的关键词。关键词:旅游业,伊豆半岛,川津樱桃树,贝叶斯网络,敏感性分析,服务营销。

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