A data-driven approach to guest experiences and satisfaction in sharing

Xu, Feifei; La, Liqing; Zhu, Feng; Lobsang, Tashi; Huang, Chao

doi:10.1080/10548408.2019.1570420

Cited by 42 publications

(37 citation statements)

References 27 publications

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“…We also note the growth of cultural tourism, which is a kind of response to the strong cultural brand of the territory [3,14]. The conditions of tourist activity themselves are also changing (for example, the phenomenon of Shared accommodation [15,16,17]), the seasonality [18] is changing and a SHS Web of Conferences 92, 010 (2021) Globalization and its Socio-Economic Consequences 2020 number of significant factors of demand for global tourism are emerging [19] as well as crucial social changes [20,21].…”

Section: Discussionmentioning

confidence: 99%

Impact of COVID-19 on the Global Tourism Industry and Ways to Ensure High Competitiveness of the Territory in the Global Tourism Market after the Pandemic

Pashkus

Asadulaev

2021

SHS Web of Conf.

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Research background: The article analyzes the impact of the COVID-19 pandemic on the tourist competitiveness of St. Petersburg. In order to maintain sustainable tourist attractiveness after the end of the pandemic, the city will have to conduct a more thorough analysis of the factors influencing the choice of St. Petersburg among other competing tourist centres. Purpose of the article: The purpose of this article is to identify competitive priorities of territories that are attractive for tourism activities in the conditions of recovery from the crisis that arose due to restrictive measures applied due to the coronavirus pandemic. Methods: To achieve this goal, the article uses a modified SWOT analysis apparatus with the use of a matrix assessment methodology implemented on the basis of a modified methodology of the Hierarchy Analysis Method and the calculation of marginal replacement coefficients for criteria of tourist attractiveness and competitiveness of the territory after the pandemic. Findings & Value added: For the analysis, a new approach is proposed to obtain the characteristics of the city assessment for different categories of tourists, which significantly increases the accuracy and strategic prospects of the classical procedure of SWOT analysis. As a scientific growth, we can consider the use of matrix estimation mechanisms for a more rational ranking of factors, more accurately determining probability and weight characteristics. Therefore, this will provide higher accuracy of strategic recommendations for the city for each important category of tourists.

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Section: Discussionmentioning

confidence: 99%

Impact of COVID-19 on the Global Tourism Industry and Ways to Ensure High Competitiveness of the Territory in the Global Tourism Market after the Pandemic

Pashkus

Asadulaev

2021

SHS Web of Conf.

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“…The results are shown in Table 1. High frequency words play an important role in understanding the semantic space of user reviews and tourists' experience [1]. It can be seen from Table 1 that high-frequency nouns such as "service", "room", "front desk", "breakfast", "environment", "facility" and "service attitude" are the most frequently used, which are the elements that tourists pay the most attention to hotel.…”

Section: Descriptive Statistical Analysismentioning

confidence: 99%

“…Big data analysis and artificial intelligence also provide companies with opportunities to capture consumer preferences and identify market trends. Research on tourism big data has become a hot topic in today's academic circles [1][2].…”

Section: Introductionmentioning

confidence: 99%

“…Creating a better experience for customers has become a necessary means for merchants to attract customers and improve their own industry competitiveness in the era of experience economy [8]. At present, in the field of hotel research, scholars mainly focus on the research of customer experience in traditional high star hotels or ordinary hotels [1][2], while there are insufficient research on customer experience in the field of smart hotels.…”

Section: Introductionmentioning

confidence: 99%

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Exploring Customer Experience of Smart Hotel: A Text Big Data Mining Approach

2021

E3S Web Conf.

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In order to analyse the factors and dimensions that customers pay attention to smart hotels, this experiment selects the user reviews of five smart hotels on Ctrip as the research samples, and carries out network text big data collection, text pre-processing and topic mining through the relevant algorithms of Python programming language. The results show that customers’ accommodation experience of smart hotel mainly includes five aspects: breakfast and transportation, staff service level, intelligent service, room environment, and room hardware facilities. Among them, the customer’s attention to the intelligent services of smart hotels and the intelligentization of hardware facilities in guest rooms reflect the difference in customer experience between smart hotels and traditional hotels, which provides a certain reference for the optimization of hotel service levels.

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“…The success of platforms such as Airbnb is evidence of a shift from an ownership society to a sharing society. However, only very few platforms are able to accumulate a large and loyal following of customers [9,19]. In the research approached this challenge by researching platform loyalty motivators of the guests and soluted, that accommodation sharing provides unique experiences for tourists.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Shared accommodation as a globalization trend in tourism

Kostková

2020

SHS Web Conf.

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Modern tourism trends have a distinctly global character. They include the use of online tourism service platforms and the sharing of services based on sharing economy. Governments and municipalities create regulatory measures to operate in accordance with the destination’s municipal, financial, security, and tourism interests to ensure transparency and a level playing field for entrepreneurship. The paper deals with this global trend in the field of the accommodation services through the Airbnb platform in the Czech Republic and in the Silesian Moravian Region, in the use and provision of tourist accommodation services and identification of the impact on tourism development and tourist attendance the destination, within the project Trends of tourism in the Moravian-Silesian Region, using the methods of marketing research. The results declare that shared economy platforms in the field of accommodation have a place in the modern economic system, they put competitive pressure on tourism service providers, the offer expands for the consumers and traditional service providers force to move to innovative concepts. The hoteliers want to offer the creation of standards that the sharing accommodation providers should follow and public administration and city representatives want to clearly describe the duties for each accommodation provider and regulate accommodation through Airbnb.

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A data-driven approach to guest experiences and satisfaction in sharing

Cited by 42 publications

References 27 publications

Impact of COVID-19 on the Global Tourism Industry and Ways to Ensure High Competitiveness of the Territory in the Global Tourism Market after the Pandemic

Impact of COVID-19 on the Global Tourism Industry and Ways to Ensure High Competitiveness of the Territory in the Global Tourism Market after the Pandemic

Exploring Customer Experience of Smart Hotel: A Text Big Data Mining Approach

Shared accommodation as a globalization trend in tourism

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