目的地形象对游客重游青秀山意愿的影响

{"title":"目的地形象对游客重游青秀山意愿的影响","authors":"","doi":"10.25236/ajbm.2023.052101","DOIUrl":null,"url":null,"abstract":"The researcher aims to examine the impact of the destination image of Qingxiu Mountain on tourists' willingness to revisit. The relationship between the destination image of Qingxiu Mountain and the willingness to revisit is examined. Online questionnaires are sent to tourists who have travelled to Qingxiu mountain and investigate their impression about Qingxiu mountain and willingness to revisit. The sample size of the survey data was calculated by Cochrane formula, and the sample size was 385. The respondents are tourists who have travelled to Qingxiu mountain, Nanning. The research tool is questionnaire. The online questionnaires are collected by using the questionnaire star in the form of single-choice questions and Likert scale questionnaires. The questionnaire is divided into 3 parts, including the demographic factors, destination image and tourists’ willingness to revisit. The statistics used in the data analysis are descriptive statistics including frequency distribution, percentage, mean, standard deviation and inferential statistic for testing hypothesis. The researchers will apply multiple regression analysis models to examine which independent variables have strong or weak relationships with dependent variables. The results show that the majority of tourists coming to Qingxiu mountain are female, age between 19-25 years old, education in bachelor's degree, amounting for 60.26%. In Nanning, there are many universities, and many college students like travelling in winter holiday. Many of the respondents have visited Qingxiu mountain for 1-2 times over the past five years. From the mean of the three dimensions of destination image, we can see the natural landscape (average mean=4.172) is the highest, followed by cultural landscape (average mean=3.961) and services and facilities (average mean=3.874). The regression coefficient value is: Willingness to revisit = 0.797 + 0.183 cultural landscape + 0.229 natural landscape + 0.419 services and facilities, with a model square value of 0.677, meaning that cultural landscape, natural landscape, services and facilities can explain 67.7% of the variation in willingness to revisit. The model passed the F-test (F=266.647, p=0.000). Hypothesis test indicates that the cultural landscape, natural landscape, services and facilities all have a significant positive influence on the intention to revisit. Based on the results of the empirical study, relevant suggestions and countermeasures are proposed for how to enhance tourists' willingness to revisit Qingxiu Mountain and promote the healthy and sustainable development of tourism.","PeriodicalId":282196,"journal":{"name":"Academic Journal of Business & Management","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Impact of Destination Image on Tourist Willingness to Revisit the Qingxiu Mountain\",\"authors\":\"\",\"doi\":\"10.25236/ajbm.2023.052101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The researcher aims to examine the impact of the destination image of Qingxiu Mountain on tourists' willingness to revisit. The relationship between the destination image of Qingxiu Mountain and the willingness to revisit is examined. Online questionnaires are sent to tourists who have travelled to Qingxiu mountain and investigate their impression about Qingxiu mountain and willingness to revisit. The sample size of the survey data was calculated by Cochrane formula, and the sample size was 385. The respondents are tourists who have travelled to Qingxiu mountain, Nanning. The research tool is questionnaire. The online questionnaires are collected by using the questionnaire star in the form of single-choice questions and Likert scale questionnaires. The questionnaire is divided into 3 parts, including the demographic factors, destination image and tourists’ willingness to revisit. The statistics used in the data analysis are descriptive statistics including frequency distribution, percentage, mean, standard deviation and inferential statistic for testing hypothesis. The researchers will apply multiple regression analysis models to examine which independent variables have strong or weak relationships with dependent variables. The results show that the majority of tourists coming to Qingxiu mountain are female, age between 19-25 years old, education in bachelor's degree, amounting for 60.26%. In Nanning, there are many universities, and many college students like travelling in winter holiday. Many of the respondents have visited Qingxiu mountain for 1-2 times over the past five years. From the mean of the three dimensions of destination image, we can see the natural landscape (average mean=4.172) is the highest, followed by cultural landscape (average mean=3.961) and services and facilities (average mean=3.874). The regression coefficient value is: Willingness to revisit = 0.797 + 0.183 cultural landscape + 0.229 natural landscape + 0.419 services and facilities, with a model square value of 0.677, meaning that cultural landscape, natural landscape, services and facilities can explain 67.7% of the variation in willingness to revisit. The model passed the F-test (F=266.647, p=0.000). Hypothesis test indicates that the cultural landscape, natural landscape, services and facilities all have a significant positive influence on the intention to revisit. Based on the results of the empirical study, relevant suggestions and countermeasures are proposed for how to enhance tourists' willingness to revisit Qingxiu Mountain and promote the healthy and sustainable development of tourism.\",\"PeriodicalId\":282196,\"journal\":{\"name\":\"Academic Journal of Business & Management\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Academic Journal of Business & Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25236/ajbm.2023.052101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Academic Journal of Business & Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25236/ajbm.2023.052101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本研究旨在探讨青秀山旅游目的地形象对游客重游意愿的影响。考察了青秀山的目的地形象与回访意愿之间的关系。通过在线问卷调查的方式,对到过青秀山的游客进行调查,了解他们对青秀山的印象和再次造访青秀山的意愿。调查数据的样本量采用Cochrane公式计算,样本量为385。受访者是到过南宁青秀山的游客。研究工具是问卷调查。在线问卷的收集采用问卷星,采用单选题和李克特量表问卷的形式。问卷分为人口因素、目的地形象、游客再访意愿三个部分。数据分析中使用的统计量是描述性统计,包括频率分布、百分比、均值、标准差和检验假设的推论统计。研究人员将应用多元回归分析模型来检验哪些自变量与因变量有强或弱的关系。结果表明:来青秀山旅游的游客以女性居多,年龄在19 ~ 25岁之间,学历在本科以上,占60.26%;在南宁,有很多大学,很多大学生喜欢在寒假旅游。在过去的五年里,许多受访者都去过青秀山1-2次。从目的地形象三个维度的平均值来看,自然景观最高(平均4.172),其次是人文景观(平均3.961)和服务设施(平均3.874)。回归系数值为:重游意愿= 0.797 + 0.183人文景观+ 0.229自然景观+ 0.419服务设施,模型平方值为0.677,即人文景观、自然景观、服务设施可以解释67.7%的重游意愿变异。模型通过F检验(F=266.647, p=0.000)。假设检验表明,人文景观、自然景观、服务设施对重游意愿均有显著的正向影响。在实证研究结果的基础上,针对如何增强游客重游青秀山的意愿,促进旅游业的健康可持续发展提出了相关建议和对策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Destination Image on Tourist Willingness to Revisit the Qingxiu Mountain
The researcher aims to examine the impact of the destination image of Qingxiu Mountain on tourists' willingness to revisit. The relationship between the destination image of Qingxiu Mountain and the willingness to revisit is examined. Online questionnaires are sent to tourists who have travelled to Qingxiu mountain and investigate their impression about Qingxiu mountain and willingness to revisit. The sample size of the survey data was calculated by Cochrane formula, and the sample size was 385. The respondents are tourists who have travelled to Qingxiu mountain, Nanning. The research tool is questionnaire. The online questionnaires are collected by using the questionnaire star in the form of single-choice questions and Likert scale questionnaires. The questionnaire is divided into 3 parts, including the demographic factors, destination image and tourists’ willingness to revisit. The statistics used in the data analysis are descriptive statistics including frequency distribution, percentage, mean, standard deviation and inferential statistic for testing hypothesis. The researchers will apply multiple regression analysis models to examine which independent variables have strong or weak relationships with dependent variables. The results show that the majority of tourists coming to Qingxiu mountain are female, age between 19-25 years old, education in bachelor's degree, amounting for 60.26%. In Nanning, there are many universities, and many college students like travelling in winter holiday. Many of the respondents have visited Qingxiu mountain for 1-2 times over the past five years. From the mean of the three dimensions of destination image, we can see the natural landscape (average mean=4.172) is the highest, followed by cultural landscape (average mean=3.961) and services and facilities (average mean=3.874). The regression coefficient value is: Willingness to revisit = 0.797 + 0.183 cultural landscape + 0.229 natural landscape + 0.419 services and facilities, with a model square value of 0.677, meaning that cultural landscape, natural landscape, services and facilities can explain 67.7% of the variation in willingness to revisit. The model passed the F-test (F=266.647, p=0.000). Hypothesis test indicates that the cultural landscape, natural landscape, services and facilities all have a significant positive influence on the intention to revisit. Based on the results of the empirical study, relevant suggestions and countermeasures are proposed for how to enhance tourists' willingness to revisit Qingxiu Mountain and promote the healthy and sustainable development of tourism.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信