石家庄学院学报
石傢莊學院學報
석가장학원학보
Journal of Shijiazhuang University
2015年
3期
75~81
,共null页
IPA分析法 节事旅游 满意度 开封菊花文化节
IPA分析法 節事旅遊 滿意度 開封菊花文化節
IPA분석법 절사여유 만의도 개봉국화문화절
IPA analysis ; festival tourism; satisfaction; Kaifeng Chrysanthemum Cultural Festival
节事活动是旅游业的重要组成部分,目前中国节事活动呈现出一片繁荣的景象。运用IPA(Important-Performance Analysis)分析法,以开封菊花文化节为例,从参与者的角度对开封节事活动的发展进行实证研究,结果显示:①参与者认为在影响节事满意度的感知项中,服务、价格、治安状况及节事活动文化内涵是最为重要的,而参与者对市民态度、节事活动特色、氛围及城市到达交通最为满意;②参与者对节事活动特征项的重要性感知高于满意度感知;③将17个特征项定位于IPA分析图中,并根据4个象限(继续保持、重点改进、勿需优先以及表现过度)的分布情况,对开封节事活动的发展提出建议。
節事活動是旅遊業的重要組成部分,目前中國節事活動呈現齣一片繁榮的景象。運用IPA(Important-Performance Analysis)分析法,以開封菊花文化節為例,從參與者的角度對開封節事活動的髮展進行實證研究,結果顯示:①參與者認為在影響節事滿意度的感知項中,服務、價格、治安狀況及節事活動文化內涵是最為重要的,而參與者對市民態度、節事活動特色、氛圍及城市到達交通最為滿意;②參與者對節事活動特徵項的重要性感知高于滿意度感知;③將17箇特徵項定位于IPA分析圖中,併根據4箇象限(繼續保持、重點改進、勿需優先以及錶現過度)的分佈情況,對開封節事活動的髮展提齣建議。
절사활동시여유업적중요조성부분,목전중국절사활동정현출일편번영적경상。운용IPA(Important-Performance Analysis)분석법,이개봉국화문화절위례,종삼여자적각도대개봉절사활동적발전진행실증연구,결과현시:①삼여자인위재영향절사만의도적감지항중,복무、개격、치안상황급절사활동문화내함시최위중요적,이삼여자대시민태도、절사활동특색、분위급성시도체교통최위만의;②삼여자대절사활동특정항적중요성감지고우만의도감지;③장17개특정항정위우IPA분석도중,병근거4개상한(계속보지、중점개진、물수우선이급표현과도)적분포정황,대개봉절사활동적발전제출건의。
Festival and special events are an important part of the tourism industry. Nowadays,festival and special events in China develop prosperously. This paper takes Kaifeng Chrysanthemum Cultural Festi-val for example and uses IPA (Important-Performance Analysis) to make an empirical study on the devel-opment of festival activities in Kaifeng from the perspective of participants. The results show that(1) par-ticipants felt that services,prices,law and order situation and the cultural connotation of festival activities are the most important items among the perception items,and the attitude of the natives,features and atmo-sphere of festival activities and city traffic are of the most satisfaction;(2) participants' perception of im-portance is higher than their perception of satisfaction;(3) 17 items are located in the IPA analysis dia-gram,and some suggestions are put forward on the development of festival activities in Kaifeng according to the distribution of four quadrants.