Wanfei Wang

Bio: Wanfei Wang is an academic researcher from Zhejiang University. The author has contributed to research in topics: Tourism & Convergent validity. The author has an hindex of 4, co-authored 8 publications receiving 164 citations.

Religious Tourist Motivation in Buddhist Mountain: The Case from China

Abstract: This study aims to develop a measurement scale assessing motivations of tourists traveling to religious sites within the Chinese context. Deploying quantitative methods in relation to Putuo Buddhist Mountain – one of the most visited Buddhist destinations in China, this study depicts 20 motivation attributes. Accordingly, the scale dimensionality of tourist motivation in the context of religious tourism is first revealed by an exploratory factor analysis and further validated by a confirmatory factor analysis. Consequently, three resultant constructs entailing religious belief, cultural enjoyment, and mental relaxation exhibit acceptable levels of reliability. Construct validity, including discriminant and convergent validity, is satisfactorily established. Furthermore, this study examines how tourists’ past experience and degree of religious belief affect the derived constructs that define the motivations of religious tourist. The results suggest that past experience significantly affects tourists’ motiv...

Information technology usage, motivation, and intention: a case of Chinese urban senior outbound travelers in the Yangtze River Delta region

Abstract: Chinese outbound travel is thriving, with seniors taking an increasing market share. However, although outbound travel in general has been researched quite well, little is known specifically about the outbound travel behavior of Chinese seniors, or the effects of information technology (IT) on their vacation patterns. This study is an initial and exploratory attempt to understand the relation between IT usage and tourism behavior (travel motivation, travel intention, and sociodemographics) of Chinese senior outbound travelers. The results reveal four segments of IT usage, each with significantly different traveler profiles in terms of sociodemographics, travel motivation, and travel intention.

Customer experience and brand loyalty in the full-service hotel sector: The role of brand affect

Abstract: This study aims to propose a comprehensive causal model to examine the relationships between customer experience and four key factors in brand building, i.e., brand loyalty, brand trust, brand affect and brand involvement. The dimensionality of customer experience in full-service hotel is also particularly examined in relation to brand building.,Three steps of data collection were used: interviews of 50 customers on their experiences of staying full-service hotels, a small survey of 176 hotel guests to establish the measurement scale of customer experience and a major survey of 732 hotel customers in ten major Chinese cities to test the model of brand loyalty.,Customers’ experiences with full-service hotels are proposed to be categorized into functional, affective and social. There is a chain effect from customer experience to brand trust and to brand affect and then to brand loyalty. The brand involvement does moderate relationships between customer experience and brand trust and brand affect but not brand loyalty.,For full-service hotels, social and functional experiences are critical in building brand loyalty, and therefore, they need to be the focal points in the enhancement of customer experience. Also, hoteliers are advised to develop emotional connections between the customers and the hotel brand – an effective way of building trust and affection.,According to the authors’ knowledge, this paper is one of the first few studies to link customer experience to brand loyalty with comprehensive causal effect analysis. This study also contributes to the knowledge of customer experience in the context of the full-service hotel sector.

Perceived image study with online data from social media: the case of boutique hotels in China

Abstract: The purpose of this paper is to deconstruct the multi-faceted dimensions of Chinese travellers’ image of boutique hotels with a large amount of online textual data from social media (53,427 reviews written from 2014 to 2018), reinforcing the value creation of user-generated content via social media.,With the aid of Python, a computer language, online textual reviews (53,427 reviews) of 86 high-end boutique hotels in seven cities (Beijing, Shanghai, Hangzhou, Nanjing, Chengdu, Qingdao and Sanya) were collected from the top-ranked online travel agency in China, Ctrip.com. Then, the overall perceived image of boutique hotels was revealed with the aid of Python.,The results showed multiple dimensions of the image of boutique hotels. The overall image can be grouped into eight dimensions (room, service, food, environment, entertainment, location, price and value, and uniqueness). An affective image based on eight dimensions was further developed in the Chinese boutique hotel context. It appears that online data from social media are beneficial for hotel managers to learn travellers’ overall perceptions of boutique hotels and help put more effective management strategies in place in the hospitality industry.,The relationship between cognitive image and affective image should be further investigated in future research. Theoretical implications are discussed from both cognitive image and affective image perspectives in the boutique hotel context. Managerial implications are highlighted to help industry managers understand the travellers’ perceptions of the hotels, via online data from social media, and put more effective hotel strategies in hospitality industry.,By using textual online data from social media, this paper deconstructs both the cognitive image and the affective image of boutique hotels. The dimensions of the most frequently mentioned concepts related to the Chinese boutique hotel industry are profoundly deconstructed, as is the uniqueness of the image of boutique hotels. The work is valuable for promoting effective marketing strategies in the hotel industry.

Using Multivariate Statistics

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The impact of online user reviews on hotel room sales [Summary]

Abstract: Despite hospitality and tourism researchers’ recent attempts on examining different aspects of online word-of-mouth [WOM], its impact on hotel sales remains largely unknown in the existing literature. To fill this void, we conduct a study to empirically investigate the impact of online consumer-generated reviews on hotel room sales. Utilizing data collected from the largest travel website in China, we develop a fixed effect log-linear regression model to assess the influence of online reviews on the number of hotel room bookings. Our results indicate a significant relationship between online consumer reviews and business performance of hotels.

Real-time co-creation and nowness service: lessons from tourism and hospitality

Abstract: Brands take advantage of technology, social media and constant connectivity to foster organic consumer engagement and interactions towards co-creating personalised customer service. Real-time servi...