Development of rural community-based tourism with local customs from the view of consumer satisfaction

被引:0
作者
Liang, Benlong [1 ]
机构
[1] Harbin Inst Technol, Sch Humanities Social Sci & Law, Harbin 150001, Heilongjiang, Peoples R China
关键词
Consumer satisfaction; Rural area; Local customs; Local tourism; Community-based tourism; SMART TOURISM; DESTINATION; TECHNOLOGY;
D O I
10.1007/s10479-021-04302-x
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
To put forward the marketing effects of rural community-based tourism with local customs, based on the theories of emotional analysis and division of evaluation unit; this paper focuses on the problems exist in the comment-supported research of customer satisfactions and is aimed to make improvement on the intelligent algorithm and thus to carry out community detection supported by emotional analysis technology, from the the perspective of consumer needs. This paper discusses about building a quantitative analysis model based on the research on the consumer psychological activities and the actual consumption process. The method of emotional analysis is applied to quantify data of the model, and the method of diversification regression analysis is used to analyze the factors affecting consumer satisfaction. Based on above an Sentiment Analysis alysis, rural community-based tourism with local customs from perspective of consumer needs is obtained. Through experimental investigations, the satisfaction analysis and marketing effect analysis towards community-based tourism is conducted. From the results of the research, the community-based tourism has its positive effects.
引用
收藏
页码:25 / 25
页数:1
相关论文
共 29 条
[1]  
Rady HA, 2019, International Journal of Heritage Tourism and Hospitality, V13, P78, DOI [10.21608/ijhth.2019.35106, 10.21608/ijhth.2019.35106, DOI 10.21608/IJHTH.2019.35106]
[2]   Gaussian process regression (GPR) based non-invasive continuous blood pressure prediction method from cuff oscillometric signals [J].
Alghamdi, Ahmed S. ;
Polat, Kemal ;
Alghoson, Abdullah ;
Alshdadi, Abdulrahman A. ;
Abd El-Latif, Ahmed A. .
APPLIED ACOUSTICS, 2020, 164
[3]   Senti-eSystem: A sentiment-basedeSystem-using hybridized fuzzy and deep neural network for measuring customer satisfaction [J].
Asghar, Muhammad Zubair ;
Subhan, Fazli ;
Ahmad, Hussain ;
Khan, Wazir Zada ;
Hakak, Saqib ;
Gadekallu, Thippa Reddy ;
Alazab, Mamoun .
SOFTWARE-PRACTICE & EXPERIENCE, 2021, 51 (03) :571-594
[4]   Social media analytics and value creation in urban smart tourism ecosystems [J].
Brandt, Tobias ;
Bendler, Johannes ;
Neumann, Dirk .
INFORMATION & MANAGEMENT, 2017, 54 (06) :703-713
[5]   Pattern-based side match vector quantization for image compression [J].
Chang, CC ;
Shiue, FC ;
Chen, TS .
IMAGING SCIENCE JOURNAL, 2000, 48 (02) :63-76
[6]   The Development of a Tourism Attraction Model by Using Fuzzy Theory [J].
Chang, Jieh-Ren ;
Chang, Betty .
MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
[7]   Colombian Tourism: Proposal App to Foster Smart Tourism in the Country [J].
Cubides Ruiz, Marvin Alexis ;
Bohorquez, Sindy Tatiana ;
Rodriguez Molano, Jose Ignacio .
ADVANCED SCIENCE LETTERS, 2017, 23 (11) :10533-10537
[8]   Digital Technology in a Smart Tourist Destination: The Case of Porto [J].
da Costa Liberato, Pedro Manuel ;
Alen-Gonzalez, Elisa ;
Veloso de Azevedo Liberato, Dalia Filipa .
JOURNAL OF URBAN TECHNOLOGY, 2018, 25 (01) :75-97
[9]   Is tourism a driver for smart specialization? Evidence from Apulia, an Italian region with a tourism vocation [J].
Del Vecchio, Pasquale ;
Passiante, Giuseppina .
JOURNAL OF DESTINATION MARKETING & MANAGEMENT, 2017, 6 (03) :163-165
[10]   Towards a conceptualisation of smart tourists and their role within the smart destination scenario [J].
Femenia-Serra, Francisco ;
Neuhofer, Barbara ;
Ivars-Baidal, Josep A. .
SERVICE INDUSTRIES JOURNAL, 2019, 39 (02) :109-133