The Validity of Marketing Strategy of Tourist Attractions Based on Experiential Marketing

Song, Mei; Niu, Tianjiao; Wang, Linna; Wang, Xiaoyi

doi:10.1155/2022/1825171

Cited by 6 publications

(5 citation statements)

References 17 publications

(10 reference statements)

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“…(4) Analytic hierarchy process: it solves problems by decomposing, by dividing a large problem into dif-ferent levels. The highest level is the target level, the lowest level is the specific solution, and the rest are various indicators that affect decision-making [18]. The type of model that this paper needs to build is a hierarchical vector model.…”

Section: Calculation Of the Weight Of The User's Daily Behaviormentioning

confidence: 99%

Construction of User Behavior Web Data Mining Model for Internet Marketing

Wei

2022

Wireless Communications and Mobile Computing

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With the rapid development of the Internet and the rapid change of the era of big data, data mining has played a great role in exploring and discovering potential valuable information from the vast sea of data and has become one of the most popular research and practice fields. At the same time, the emerging marketing model of network marketing is sweeping the market, and network marketing is increasingly replacing the traditional marketing model with its unique advantages, such as wide coverage, fast dissemination, and being more flexible and targeted. Preserving, researching, and analyzing the behavior of network marketing users are the difficulties of current network marketing. It is the focus of this paper to explore how to use Web data mining technology to model the user behavior of Internet marketing. For the above problems, this paper used the weight calculation algorithm of users’ daily behavior feature items and the sequential pattern discovery algorithm based on multiple factor constraints to scientifically construct the online marketing user behavior model. The experimental results have shown that the sequential pattern discovery algorithm based on multiple factor constraints could save 30%-40% of the running cost when building a user behavior model. At the same time, the user behavior model constructed by this algorithm has improved the simulation and prediction accuracy of user behavior by 37%, which showed that the use of Web data mining to build network marketing user behavior model could provide an objective basis for the strategic development of network marketing.

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Section: Calculation Of the Weight Of The User's Daily Behaviormentioning

confidence: 99%

Construction of User Behavior Web Data Mining Model for Internet Marketing

Wei

2022

Wireless Communications and Mobile Computing

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“…The results show that there are many marketing efforts used by managers to enhance tourist destinations and increase visitor numbers. Song, et al (2022) in their study, they emphasize the need for travel among people is growing along with the economy. People start pursuing tailored travel options since they are no longer content with the single, conventional trip options offered by travel firms.…”

Section: Related Studies Foreign Studiesmentioning

confidence: 99%

Marketing Strategies, Competitiveness and Sustainability Practices of Tourists Destinations

Belarmino,

2023

IJSMS

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The study was conducted to determine the marketing strategies, competitiveness and sustainability practices of tourist destinations. The subjects of the study were the employee of Department of Tourism and owner of Tourist Destination, in the Province of Aklan, Philippines for the year 2023. They were equated according to educational attainment, position, years of operation, types of tourist attraction, and municipality. The study utilized descriptive – correlational research design and the statistical tools used were Frequency Count, Percentage, Mean, Kruskal Wallis H-Test and Spearman Rho. All statistical computations were processed using the Statistical Package for the Social Science (SPSS) Software. The margin of error was set at .05 alpha. The findings of the study revealed that the majority of respondents were highest educational attainment bachelor’s degree, rank in file for the position, natural with 1-5 years above in operation municipality of Tangalan. The marketing strategies among tourists destinations were employed, competitiveness level were most competitive, and level of sustainability practices was mostly practiced. The research underscores the critical role of aligning marketing strategies with tourists' wants and needs, ensuring continuous enhancement of services, preserving the natural and cultural environment, and boosting business profitability. The findings emphasize that effective marketing strategies lead to improved products and services, driving competitiveness and innovation in tourism destinations. Moreover, the study highlights the heightened competition among tourist destinations due to an increasing number of visitors, underscoring the need for sustaining a competitive advantage. Additionally, the study underscores the significance of sustainability practices in ensuring remarkable guest experiences and long-term tourism management, emphasizing the importance of meeting customer expectations. Lastly, the research establishes a significant relationship between marketing strategies, sustainability practices, and competitiveness, emphasizing their impact on customer satisfaction, business success, and community growth.

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“…In recent years, the research results of Qingyan Ancient Town mainly focus on the research of protection countermeasures [18,19], architectural culture [20,21], religious culture [22,23] and tourism development strategy [24,25], and the quantitative analyses of its spatial distribution and architectural spatial network connectivity are rarely reported. As the bearer of the historical and cultural heritage of the military Tunpu, connectivity is essential to the flawless spatial pattern of the building network and the ability to properly perform the protective function .…”

Section: Introductionmentioning

confidence: 99%

Study on spatial distribution and network connectivity characteristics of buildings in Qingyan Ancient Town in Guiyang

Zhao,

Huang

2024

Preprint

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The spatial distribution of Qingyan Ancient Town and its military wisdom are studied using Thiessen polygons, fractal theory and complex networks methods with Qingyan Ancient Town as the object of study, in order to clarify the characteristics of the architectural layout of the military-type ancient towns in southwest China since the Ming Dynasty. The results show that the architectural spaces of the six districts of Qingyan Ancient Town have good self-similarity and complexity, the architectural space forms of the six districts are mainly influenced by the natural geomorphology, all of them are agglomerated and distributed, and their architectural space layout form structure and function are consistent. Besides, the functional variability of the building space will have an impact on the connectivity characteristics of the building network, the greater the density of the building space network, the greater the network degree centrality potential, the more uneven the distribution of nodes, the more obvious the centripetal tendency, the better the network connectivity. The architectural network of Qingyan Ancient Town is characterised by low vulnerability, good stability and strong connectivity, reflecting the wisdom of the architectural layout within Qingyan Ancient Town, which is based on the military connectivity function of efficient and close cooperation of the inhabitants, taking into account the economic trade and cultural life, thus forming a complete military Tunpu small society. Second, the functional difference of subjectivity leads to the connectivity of architectural spatial network with hierarchical and graded characteristics, and the natural factors, human factors and social system factors of traditional villages, ancient towns and ancient settlement sites in southwest China affect the connectivity of architectural spatial network, the connectivity of the architectural spatial network of traditional settlements signifies the intrinsic laws of nature and society, and connectivity can characterise the laws of the natural and social environment in which traditional settlements were created. Finally, this study can provide a scientific reference for the conservation planning, design and construction management of military Tunpu ancient towns.

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The Validity of Marketing Strategy of Tourist Attractions Based on Experiential Marketing

Cited by 6 publications

References 17 publications

Construction of User Behavior Web Data Mining Model for Internet Marketing

Construction of User Behavior Web Data Mining Model for Internet Marketing

Marketing Strategies, Competitiveness and Sustainability Practices of Tourists Destinations

Study on spatial distribution and network connectivity characteristics of buildings in Qingyan Ancient Town in Guiyang

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