526 | 1 | 147 |
下载次数 | 被引频次 | 阅读次数 |
在智慧旅游和自驾游成为趋势的背景下,自驾游客对于旅游APP的持续性使用意愿变得越来越重要。基于技术接受模型,通过问卷调研,采用结构方程模型探究自驾游客对旅游APP的持续性使用意愿影响因素以及转换成本的调节作用,采用模糊集定性比较分析法分析其形成路径。研究发现,自驾游客的感知有用性、感知易用性和感知有趣性影响其满意度进而影响对旅游APP的持续性使用意愿,转换成本调节了满意度与持续性使用意愿之间的关系;持续性使用意愿的形成是有多种因素联动的结果,有4条路径可以达到高持续性使用意愿和5条路径达到非高持续性使用意愿。自驾游客对旅游APP的高持续性使用意愿的形成是多因素联动作用的结果,其中感知有用性、感知有趣性和感知易用性是形成持续性使用意愿的核心因素。
Abstract:Under the background of smart tourism and self-driving tour becoming a trend, the willingness of self-driving tourists to sustain the use of tourism APP becomes more and more important. Based on the technology acceptance model, through the questionnaire survey, structural equation modeling is used to explore the influencing factors of self-driving tourists' persistent willingness to use tourism APPs and the moderating role of switching costs, and fuzzy set qualitative comparative analysis is used to analyze its formation path. It is found that self-driving tourists' perceived usefulness, perceived ease of use and perceived fun affect their satisfaction and then affect their willingness to use tourism APPs, and conversion cost regulates the relationship between satisfaction and willingness to use tourism APPs; the formation of willingness to use tourism APPs is the result of the linkage of various factors, and there are four paths to achieve high willingness to use tourism APPs and five paths to achieve non-high willingness to use tourism APPs. The formation of high persistent willingness to use travel apps by self-driving tourists is the result of the linkage of multiple factors, among which perceived usefulness, perceived interestingness and perceived ease of use are the core factors for the formation of persistent willingness to use.
[1]陈爱平.“5G+智慧旅游”协同创新蓬勃发展[N].经济参考报,2023-11-23(005).
[2]邓宁,张玉洁.智慧旅游:利益相关者视角下的思辨[J].旅游学刊,2023,38(10):3-5.
[3]中国旅游车船协会.中国自驾车、旅居车与露营旅游发展报告(2022-2023)[R].北京:中国旅游车船协会,2023.
[4]陈曦,白长虹,陈晔,等.数字治理与高质量旅游目的地服务供给——基于31座中国城市的综合案例研究[J].管理世界,2023,39(10):126-150.
[5]王小娟,万映红,程佳.基于TAM理论的顾客心理契约形成机理研究——B2C情景下的实证研究[J].运筹与管理,2019,28(11):116-124.
[6][17]Sohn K,Kwon O Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products[J].Telematics and informatics,2020,47(4):101324.
[7]徐菲菲,黄磊.景区智慧旅游系统使用意愿研究——基于整合TAM及TTF模型[J].旅游学刊,2018,33(8):108-117.
[8]Fu H,Zhu H,Xue P,et al.Eye-tracking study of public acceptance of 5G base stations in the context of the COVID-19 pandemic[J].Engineering Construction and Architectural Management,2022,30(8):3416-3437.
[9]管建君.博物馆智慧旅游技术体验对游客主观幸福感与重游意愿的影响研究[D].上海:上海师范大学硕士学位论文,2022.
[10]Pai C-K,Liu Y,Kang,et al.The role of perceived smart tourism technology experience for tourist satisfaction,happiness and revisit intention[J].Sustainability,2020,12(16):6592.
[11]Purohit S,Arora R,Paul J.The bright side of online consumer behavior:Continuance intention for mobile payments[J].Journal of Consumer Behaviour,2022,21(3):523-542.
[12]Lloud C H,Mark MH,The four levels of loyalty and the pivotal role of trust:a study of online service dynamics[J].Journal of Retailing,2004,80(2):139-158.
[13]Burnham T A,Frels J K,Mahajan V.Consumer switching costs:A typology,antecedents,and consequences[J].Journal of the Academy of marketing Science,2003,31(2):109-126.
[14]桑辉.网上顾客转换成本的影响因素及其结果的实证研究[J].南开管理评论,2007(6):33-39.
[15]孙佼佼,郭英之.疫情防控中身体距离作用下旅游者幸福感影响路径——基于模糊集的定性比较分析(fsQCA)[J].旅游学刊,2021,36(8):41-51.
[16]Manis K T,Choi D.The virtual reality hardware acceptance model (VR-HAM):Extending and individuating the technology acceptance model (TAM) for virtual reality hardware[J].Journal of Business Research,2019,100(7):503-513.
[18]陈雯.社交商务的感知技术属性对消费者购买意愿的影响机理研究[D].南宁:广西大学硕士学位论文,2022.
[19]孔雪柯.技术接受模型视角下初中生在线学习满意度影响因素探究与应用研究[D].开封:河南大学硕士学位论文,2021.
[20][21]潘澜,林璧属,方敏,等.智慧旅游背景下旅游APP的持续性使用意愿研究[J].旅游学刊,2016,31(11):65-73.
[22]甘肃省文化和旅游厅数据交换中心.《中国省域自由行大数据系列报告之甘肃省》显示:张掖丹霞位居全省景区热度第一位[EB/OL].[2023-11-18].中国甘肃在线,http://www.cngansu.cn/travel/dtts/2019/11/11/157345622152588.html.
[23]范香花,刘沛林,黄静波,等.民族旅游地妇女旅游影响感知对主观幸福感的影响——以贵州西江苗寨为例[J].旅游学刊,2023,38(7):113-127.
[24]郭安禧,王松茂,李海军,等.居民旅游影响感知对支持旅游开发影响机制研究——社区满意和社区认同的中介作用[J].旅游学刊,2020,35(6):96-108.
[25]Ragin C C.Redesigning social inquiry:Fuzzy sets and beyond[M].Chicago:University of Chicago Press,2008:44-68
[26]范香花,程励.共享视角下乡村旅游社区居民旅游支持度的复杂性——基于fsQCA方法的分析[J].旅游学刊,2020,35(4):36-50.
[27]杜运周,贾良定.组态视角与定性比较分析(QCA):管理学研究的一条新道路 [J].管理世界,2017(6):155-167.
[28]廖觅燕,方佳明,杨晶晶,等.应对行为视角下算法推荐内容相似性对App持续使用的影响[J].南开管理评论,2023,26(03):178-190.
[29]梁太鑫,刘世峰.基于UTAUT模型的旅游信息服务平台用户使用意愿研究[J].情报科学,2022,40(2):162-168+176.
[30]陈楚琪,王伯勋.基于使用意愿的澳门旅游App界面设计研究[J].家具与室内装饰,2023,30(10):51-57.
基本信息:
DOI:
中图分类号:G895;F592;F49;F713.55
引用信息:
[1]杨若涵,胡洪基,郭英之.智慧旅游背景下自驾游客对旅游APP的持续使用意愿研究[J].泰山学院学报,2024,46(02):22-32.
基金信息:
国家自然科学基金项目“旅游目的地社区参与机制与区域差异研究”(72074053); 河西学院青年基金项目“智慧旅游背景下自驾游游客对旅游APP的持续使用意愿研究”(QN2020019)