Exploring the effect of the knowledge redundancy of online reviews on tourism consumer purchase behaviour: based on the knowledge network perspective

Wang, Chang; Liu, Shengyou; Zhu, Sai; Hou, Zhiping

doi:10.1080/13683500.2022.2142097

Cited by 10 publications

(5 citation statements)

References 54 publications

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“…This pattern is attributed to the limited nature of people’s attention ( March, 1994 ), particularly in the age of mass media, where individuals must distribute their attention across various online platforms ( Lu et al, 2023 ), leading to areas of high concentration and attention deficits. Furthermore, scholars have noted that information search significantly influences potential tourists’ purchasing decisions ( Lee et al, 2007 ), which are influenced by factors like travel notes or reviews on prominent travel websites and apps ( Wang et al, 2023 ), as well as the marketing strategies of tourist destinations both online and offline. Building upon the AISAS behavior model, this study further elucidates that the factors impacting potential tourists’ purchase behavior include sharing experience, attracting attention, generating interest and searching information.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…The findings of this study are valuable for managers of scenic spots to utilize Internet technology in developing an effective network marketing strategy for high-quality scenic spots in Yunnan Province. The study revealed that the public pays the most attention to travel information on travel websites, indicating that the reviews on these websites have a significant impact on potential tourists’ decision to make purchases ( Wang et al, 2023 ). For instance, managers of scenic spots can enhance the visibility and appeal of the attractions through short video platforms and social media, as well as improve the filtering and intelligent recommendation systems on travel websites to enhance the credibility of the reviews, thus encouraging potential tourists to search and ultimately make a purchase.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

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The influencing mechanism of scenic spot online attention and tourists’ purchase behavior: an AISAS model based investigation

Zhao,

Kong,

Yang

et al. 2024

Front. Psychol.

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IntroductionIn the era of the Internet, online digital traces have become a new way to study the online attention of scenic spots and tourists’ purchase behavior. The public’s information search on major search platforms is a series of manifestations of potential tourists’ attention and interest in scenic spots, but there are few studies on how attention, interest and information search affect potential tourists to generate real purchase behavior.MethodThis paper selects four dimensions of short video platform, travel website, search engine and social media to comprehensively measure the online attention of high-quality scenic spots in Yunnan Province, and then establishes a gray association analytic hierarchy process based on the relevant variables of the AISAS model to empirically analyze the primary and secondary factors affecting tourists’ purchase behavior.Results(1) From the perspective of the online attention of scenic spots on different platforms, the intensity of the public’s scenic spots online attention on the four types of media platforms is in the order of travel websites, search engines, short videos and social media (2) From the perspective of spatial distribution characteristics, the online attention of high-quality scenic spots in Yunnan Province is unevenly distributed, that is, there is a big difference between the attention of higher star scenic spots and their star rating and popularity, while the attention of low-star scenic spots is not much different from their star rating and popularity (3) From the perspective of spatial agglomeration characteristics, the comprehensive online attention of high-quality scenic spots in Yunnan Province presents the spatial agglomeration characteristics of “the multi-core linkage of high-density in the east and north, and sub-high-density in the south” (4) The factors influencing the purchase behavior of potential tourists are sharing experience, attracting attention, generating interest and searching information.DiscussionBy exploring the formation mechanism of high-quality scenic spots online attention in Yunnan Province and the mechanism of its spatial differentiation, this study not only enriches the logical chain of “tourism information source → potential tourists → demand driven → tourism information search → travel preference → destination selection → purchase decision → travel experience → real tourists → feelings after traveling → focus on feedback → tourism information source,” but also broadens the application scenarios and application boundaries of travel preference theory and AISAS behavior model to a certain extent.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Conclusion and Discussionmentioning

confidence: 99%

The influencing mechanism of scenic spot online attention and tourists’ purchase behavior: an AISAS model based investigation

Zhao,

Kong,

Yang

et al. 2024

Front. Psychol.

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“…Ctrip is the largest travel social networking site in China; it has been widely used as a research source due to its large size, frequent updates and reliable content [ 56 ]. When searching the keyword “Dali” in the Ctrip Attractions Channel, Python was used to collect the data on attractions, including basic information (name, coordinates) and text information (review time, number of reviews, contents).…”

Section: Methodsmentioning

confidence: 99%

Analysis of spatial perception and the influencing factors of attractions in Southwest China’s ethnic minority areas: The case of Dali Bai Autonomous Prefecture

2023

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As standards of material living continue to improve and urbanization advances, an increasing number of remote ethnic minority areas are becoming tourist destinations. Understanding tourists’ perceptions on a large scale is thus crucial for the development of the regional tourism industry. However, traditional research methods suffer from high costs, small sample sizes, and low efficiency, making it difficult to measure the spatial perception of remote areas on a large scale. This study constructs a research framework for spatial perception measurement of remote ethnic minority areas by collecting reviews data from Ctrip using spatiotemporal data calculation and the Geodetector model. We considered Dali Prefecture as an empirical case and analyzed tourists’ perceptions of the area’s attractions, the spatial distribution of the attractions, and the process of change in the explanatory power of their influencing factors over an eight-year period (2014–2021). The results indicated that the most visited attractions were concentrated in Dali City. The perception of humanistic resources (attractions) with historical value was the highest, followed by natural resources. The high perception of attractions was influenced by the level of tourism development, traffic accessibility and attractiveness, and had an increasing influence on tourists’ perceptions over time. Additionally, changes in the mode of transportation from road to high-speed rail played an important role in the selection of tourist attractions. Conversely, the tourists paid relatively less attention to humanistic resources (e.g., national cultural heritage protection units and traditional villages). Our study provides a basis for the measurement of spatial perception in remote minority areas and can be used as a reference for tourism development planning in Dali Prefecture, thus promoting the sustainable development of tourism in the area.

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“…Online reviews, which can shape both positive and negative tourist perceptions and behavior, are not without their drawbacks. These weaknesses include issues such as limited information and context, which has the potential to lead to misinterpretation (Sotiriadis and Van 2013), a large amount of repetitive information in reviews which can pose decision-making challenges for consumers (Wang et al 2022) and the potential to influence crowding excessive in popular destinations (Xu et al 2021).…”

Section: Online Consumer Reviewsmentioning

confidence: 99%

Content Analysis of Brand Awareness Rural Tourism through Instagram Reviews

Syani,

Sumarwan,

Suroso

2024

Int J Res Rev

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Tourism trends have shifted. The Covid-19 pandemic has caused a change from mass tourism towards alternative tourism that prioritizes nature and authentic culture, one of which is rural tourism. This research aims to determine the form of content, content characteristics, message effectiveness, and level of brand awareness of Pujon Kidul Rural tourism contained in tourist uploads on Instagram social media. This research design is exploratory with qualitative and quantitative content analysis methods. Data was obtained from the Instagram accounts of tourists who reviewed Pujon Kidul Rural tourism. The sample selection technique used in this research was purposive sampling of 200 posts. Quantitative data was processed using SPSS 25.0 and qualitative data was processed using Nvivo 12. The results showed that the most common form of content is images, personal Instagram accounts are more dominant in conducting reviews and use non-standard language, Instagram review messages are interesting, have the potential to raise awareness for holidays, and increase brand awareness of rural tourism. Tourist reviews are at the brand recognition level. Rural tourism managers must create product differentiation and make maximum use of social media platforms so that Pujon Kidul rural tourism is at the top-of-mind level. Keywords: brand awareness, content analysis, Instagram, rural tourism, social marketing

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Exploring the effect of the knowledge redundancy of online reviews on tourism consumer purchase behaviour: based on the knowledge network perspective

Cited by 10 publications

References 54 publications

The influencing mechanism of scenic spot online attention and tourists’ purchase behavior: an AISAS model based investigation

The influencing mechanism of scenic spot online attention and tourists’ purchase behavior: an AISAS model based investigation

Analysis of spatial perception and the influencing factors of attractions in Southwest China’s ethnic minority areas: The case of Dali Bai Autonomous Prefecture

Content Analysis of Brand Awareness Rural Tourism through Instagram Reviews

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