Metaverse tourism is blurring the boundaries between the virtual and physical worlds. Among the core technologies in the metaverse world (e.g., Avatar, Virtual reality, Augmented reality, NFTs, etc.), the avatar has the potential power to revolutionise customer experience. Destination management organisation (DMO) can boost customers’ immersion through effective avatar customer journey design (ACJD) in the metaverse world. Yet, there is a lack understanding of how practitioners view an effective ACJD in the metaverse world. This study aims to explore the role of avatars on customer journey design in a metaverse tourism program (e.g., Dunhuang) from practitioners’ perspectives through a qualitative study. This study advances theoretical understanding about metaverse tourism in the tourism literature, and provides important implications for tourism industry on how to design tourist experiences in metaverse tourism.

The customer engagement construct has been widely investigated in the marketing literature since 2005. Scholars in hospitality and tourism have perceived the importance of this construct and tried to propose both conceptual framework (e.g., So, King, Sparks, & Wang, 2016) and measurement scale to capture this phenomena (e.g., So, King, & Sparks, 2014). However, there is no consensus in many issues such as conceptualization (Dijkmans, Kerkhof, & Beukeboom, 2015) and dimensionality (Romero, 2017). In addition, this construct is relatively new in hospitality and tourism. Hence, the direction for future research and what has been done in the past are indispensable for researchers since it reduces research fragmentations in the future. The study aim is to use existing works in hospitality and tourism literature with the systematic literature review to summarize facts and address the future research. SCOPUS and ISI were employed as the main databases to search and identify the relevant articles. A total of 19 out of 590 documents was identified and selected to analyze and classify based on types of research, country, and journal. In addition, the issues of theoretical background, conceptual framework, conceptualization, dimensionality, statistical analysis, key contributors are summarized respectively. Finally, this study addresses the scope of potential future research in a realm of hospitality and tourism.

In today’s highly dynamic tourism and hospitality environment, the role of customer engagement (CE) in customer experience and value is receiving increasing attention from practitioners and academics (Harrigan, Evers, Miles, & Daly, 2017). Despite this interest, scholarly analysis into the concept and its associated elements has been limited to date. For these reasons, the objective of this study is to present a science mapping approach to analysing the thematic evolution of customer engagement, specifically in the tourism/hospitality and marketing industries. The study applies a bibliometric approach combining co-citation analysis with co-word analysis to reveal and visualize the evolution of customer engagement in the hospitality and tourism areas. Specifically, authors use the SciMat software in order to discover the most important research themes and its conceptual evolution. This technique returns a set of clusters, which can be understood as conglomerates of different scientific aspects. They allow researchers the analysis of the research topics’ dynamic evolution by measuring continuance across consecutive sub-periods. Authors followed the ranking of hospitality and tourism journals considered by Gursoy and Sandstrom (2016) and, the marketing journal ranking developed by Hunt Reimann and Schilke (2009) as criteria for journal selection process. This study has considered the Web of Science (WoS) as the main academic database for collecting research contributions. Findings indicate symptoms of a research field in constant evolution that has not yet reached a stage of maturity. Initially, customer engagement was seen as an important element, but its examination was scarce and has gradually come to be recognized as a key goal within organizations to serve as a basis for the development of various study models. The results obtained from this study will enable future authors studying customer engagement to focus their studies more effectively.

Introduction Customer co-creation – customers‘ active participation and interaction with the company during their consumption processes, has gained increasing attention in tourism industry (Bertella, 2014; Chathoth et al., 2016; Campos, 2015). For example, Finnair and Helsinki airport invited passengers to workshop for co-developing new service concepts to improve passenger experience (Loukas, 2013). Despite of the increasing enthusiasm at the firm‘s side, customers do not necessarily share the mindset and feel ready for cocreation. The success of value co-creation greatly depends on continuous collaboration between customers and companies (Chathoth et al., 2013), making knowledge regarding customers‘ engagement in value co-creation essential. However, insufficient research attention has been devoted to theorize and empirically investigate the drivers of cocreation behavior in tourism (Grissemann & Stokburger-Sauer, 2012). To address this research gap, we draw on the organizational socialization theory (Van Maanen & Schein, 1979) to propose and empirically test customer education as driving factor for tourists‘ co-creation behavior during their tours. Additionally, we propose customer readiness as a mechanism mediating the effect of customer education on value co-creation behavior, while such effect should depend on tourists‘ involvement with tourism. Background and hypotheses development Organizational socialization refers to the process by which a newcomer gradually absorbs values, abilities, expected behaviors, and necessary social knowledge for assuming an organizational role and for participating as an organizational member (Louis, 1980, p. 229–230). Similar to the organizational socialization perspective, customer socialization characterizes how customers develop skills, knowledge, and attitude relevant to the marketplace (Ward, 1975), which offers a lens to explain how service providers can assist customers and behave as effective co-creators in the service system (Claycomb, Lengnick-Hall, and Inks, 2001). Büttgen et al (2012) demonstrated that customer socialization by training tactic has more important influence on consistent beliefs of service quality than prior reinforcement experiences, which engenders co-production motivation, in turn, leading to coproduction behavior as distal outcome of the socialization tactic. Previous studies suggest favorable customer outcomes to derive from the provision of customer education (Damali et al., 2016). Thus, this study proposed customer education as a socializing tactic, which is mediated by customer readiness for co-creation, to determine tourists co-creation behavior. The concept of co-creation has gained increasing attention in tourism literature, which is often described as the tourist‘s active participation, engagement and interaction during the consumption experience (e.g., Bertella, 2014; So et al., 2014). As Prahalad and Ramaswamy (2004, p. 8) stated, cocreation is ―the joint creation of value by the company and the customer, allowing the customer to co-construct the service experience to suit her context‖. Indeed, creating a favorable, memorable experience involves not only the service providers but also the tourism customers because customers are always the value co-creator (Vargo and Lusch, 2004). Challagalla and colleagues (2009) posit that firms can reach out to contact the customers to provide service after a sale is complete, rather than respond upon the customer‘s requests. In specific, Challagalla and et al. (2009) suggest the proactive service initiatives to consist of three dimensions, namely proactive prevention, proactive education, and proactive feedback seeking. In this study, the three key forms of proactive post-sales services proposed by Challagalla et al. (2009) provides a foundation that helps us to conceive customer co-creation behavior and define the dimensions underlying customer co-creation behavior of tourism services. Customer education, according to Meer (1984), involves learning activities that are organized and sustained by a firm to impart attitudes, knowledge or skills to customers or potential customers. Meanwhile, customer co-creation readiness (CCR) as a customer‘s condition or state in which he/she feels prepared to collaborate with service provider in value co-creation behavior, indicated by role clarity, ability and motivation to co-create (Meuter et al., 2005). Proper socialization process helps customers understand the product or service process as well as their role in performing service tasks, which not only could prevent customer‘s disruptive behaviors during the service process but also facilitate service flow and productivity (Rollag, 2012). Taken together, we propose the following hypotheses: H1: customer education will have a positive effect on customer co-creation behavior H2: Customer co-creation readiness will mediate the positive effect of customer education on customer co-creation behavior. Further, we postulate that tourist‘s product involvement is a boundary condition that constrains the positive effect of customer socialization. Socialization process does not always have much weight on tourists because the influence of socialization on each individual depends on tourists‘ individual characteristics (Van Maanen & Schein, 1979). Some tourists are highly interested in traveling whereas some consider traveling as a dessert in their meal. In line of this sense, we suggest the following hypothesis: H3: Product involvement will negatively moderate the mediation effect of customer co-creation readiness on co-creation behavior. Methodology The survey was posted on several well-known travel forums and referral networks. After eliminating invalid surveys, the authors obtain 300 valid questionnaires. Table 1 presents the sample characteristics. Customer education are measured by four items adapted from Bell and Eisingerich (2007). Product involvement depicts a customer‘s inherent needs, values, and interest towards tourism and is measured by ten items from Zaichkowsky (1985, 1994). Customer co-creation readiness is measured as a reflective first-order and reflective second-order construct by three dimensions: role clarity, ability, and motivation with 12 items adapted by Dellande et al. (2004) and Meuter et al. (2005). Customer co-creation behavior is measured as a reflective second order and reflective first order construct constituted by three dimensions of co-creation behavior with 12 items developed based on the review of concerns in the pre-site, on-site and post-site from several famous travel agencies. Results Measurement validation of constructs from construct reliability, convergent validity to discriminant validity were examined; and the results are provided in the table 2, indicating measurement validation requirements are satisfactory. Then, hypotheses testing was performed. In each analysis, we control variables, including customer gender, previous transaction experience with the travel agency (EP), and social desirability (SD), which are expected to have potential influence on co-creation behavior. H1 predicts a positive relationship between customer education and value co-creation. In support of H1, the analysis shows that customer education positively relates to co-creation of customers (β = 0.272, p = 0.043, R2adjusted= 0.292). Gender (β =-0.170, p<0.001) and SD (β =0.141, p=0.011) are negatively and positively related to customer co-creation behavior respectively. To test the mediating effect of customer readiness on the relationship between customer education and customer co-creation behavior, we used the PROCESS Macro (model 4) developed by Hayes‘s (2013) and estimated the effects with a bootstrap sample of 5000 cases. The indirect effect test indicates that customer education had a significantly positive effect on customer co-creation via the mediation of customer readiness for co-creation (0.312; 95% bootstrap CI [0.157, 0.517]) because the confidence interval did not include zero. The results support H2. Gender also has a significant effect on customer co-creation (β =-0.189, p <0.05). H3 postulated that product involvement will moderate the mediation effect of customer readiness. We used the PROCESS macro model 8 established by Hayes (2013) to test the moderated mediation. The conditional indirect effect test shows that customer readiness significantly mediates the influence of customer education on customer co-creation behavior, regardless of the level of product involvement (zero was not included in the confidence intervals). Nonetheless, customer education on customer co-creation behavior via customer readiness is significant and stronger in low level of product involvement (0.281; 95% bootstrap CI [0.186, 0.398]) but weaker in high level of product involvement (0.128; 95% bootstrap CI [0.029, 0.256]). Therefore, H3 is supported. Among the controlled variables, gender is the only significant predictor of customer co-creation behavior (β =-0.158, p<0.05). In a summary of dominant results of control variables, gender is significant in all three of the tested hypotheses; particularly, female shows a higher level of co-creation behavior than male. Conclusion we introduced organizational socialization theory to the literature on co-creation of tourism context and explored the effect of firms‘ education effort to socialize customers in co-creation activities. We found customer education as a socialization tactic and then conducting an empirical study by collecting data from several travel agencies to investigate the effect of firms‘ socialization tactic on customer co-creation. The results suggest that customer education could promote customer co-creation through customer readiness as a mediator. We also investigated whether the effect of socialization tactic differs on the different levels of product involvement. The results show that customers with high involvement were less influenced by customer education than those with low involvement.

Since the late 1980s, information communication and technology (ICT) have reshaped the landscape of the tourism industry (Buhalis & Law, 2008). Thanks to the Web 2.0 technology, tourism practitioners have never been this close to their customers over social media platforms. According to Kaplan and Haenlein (2010), social media refers to “a group of Internet-based applications which build on the ideological and technological foundations of Web 2.0 and that allow the creation and exchange of User Generated Content” (p. 61). In line with this definition, electronic social networks, user-generated content aggregators, as well as location-based applications are all typical social media platforms, across which enable customers to create, edit, and share content. The increasingly growing social media platforms have greatly facilitated implementations of customer engagement strategies for organizations. As a psychological state, customer engagement is featured by interactive customer experiences with an organization, which encourage psychological, emotional, and physical investment a customer has in the organization (Harrigan, Evers, Miles, & Daly, 2017). In the tourism and hospitality context, customer engagement strategies are as critical in strengthening customer loyalty, trust, and brand evaluations (So, King, & Sparks, 2016). Useful insights have been gained relating to conceptualization and measurement scale of customer engagement, organizational and cultural obstacles to consumer engagement within hotel organizations (Chathoth et al., 2014), customer engagement in a social media context alongside the process of recognition (Cabiddu et al., 2014). Underlying the practical and theoretical significance of customer engagement lies the subjective nature of views on the social media platforms. Goh, Heng, and Lin (2014) recognized that engagement in social media brand communities positively lead to enhanced purchase expenditures through embedded information and persuasion. Quantitively, the persuasive effect of user generated information is at least 22 times more than that of marketer’s in terms of marginal effect. Although previous research has examined consequences of consumer engagement, there has been less attention paid to its causes. Meanwhile, as far as Brodie et al. (2011) were concerned, the persistency of consumer-brand engagement is contingent on an assessment of tangible and intangible costs against possible benefits such as product news and offers. Therefore, identification of these benefits can offer supplementary insights into current literature of consumer engagement. The current study utilizes the self-determination theory to uncover how engagement in social media activities is facilitated by consumers’ intrinsic motivators and what psychological benefits can consumer obtain from such engagement, as either psychological state or process (Brodie et al., 2011). Research subjects in this study are Chinese social media users. According to eMarketer’s (2017) estimated that more than 80 percent of Internet users in China (i.e., around 626 million people) accessed social networks regularly in 2017. The importance of tapping this massive market can never be overestimated.

Despite the increasing attention to customer engagement (CE) by practitioners and academics, extant studies have largely been restricted to conceptualized relationships without empirical testing (So, King, & Sparks, 2014). Drawing on social identity theory and social exchange theory, this study develops a research model delineating the relationship between customer identification (CI), CE and customer purchasing behaviors in virtual communities. The model was tested with structural equation modeling and survey data from 513 members of two virtual tourism communities. Results indicate that both customer-community identification and customer-customer identification (constituting two classifications of CI) have directly positive effect on customer engagement attitude, on which the duration of membership in a community has a moderating effect. Additionally, customer-customer identification influences customer engagement behavior directly and positively, of which customer engagement attitude is the psychological foundation. Finally, customer engagement attitude and customer engagement behavior will promote customers’ purchasing behaviors. The contribution of this paper is that CE has been empirically validated to compose of customer engagement attitude and customer engagement behavior these two separate variables, and CI is testified to be an antecedent rather than a dimension of CE, in line with the standpoints proposed by Algesheimer, Dholakia, and Herrmann (2005).Through the current investigation, empirical studies into the concept connotation and formation mechanism of CE are enriched, and the insight into customer behavior management and CE marketing is intensified.

Customers’ opinions on social network platforms are known to influence peer behaviour (Bai, 2011; Eirinaki, Pisal, & Singh, 2012). Customers are also known to be more engaged in sharing their experiences by writing online reviews and recommendations that may be useful to others (Cantallops & Salvi, 2014; Tang & Guo, 2015; Xu & Li, 2016). Actually, user-generated content (UGC) on social network platforms has emerged as an important source for understanding and managing consumers’ expectations, particularly using automated and semi-automated knowledge extraction techniques from text such as text mining and sentiment analysis (Zhang, Zeng, Li, Wang, & Zuo, 2009). This research analyses dimensions of online customer engagement and associated concepts in customers’ reviews through (i) a global sentiment analysis using positive, neutral and negative sentiments and (ii) a topic-sentiment analysis to capture latent topics in online reviews. Furthermore, it examines what influences customers to contribute their online reviews, beyond the features of each focal company or brand. The research methodology is based on a text mining approach, using the MeaningCloud tool. The study focuses on Yelp.com reviews and includes a random sample of 15,000 unique reviews of restaurants, hotels and nightlife entertainment in eleven cities in the USA. An innovative customer engagement dictionary is created, based on previously validated scales using known dimensions of engagement, experience, emotions and brand advocacy, and extended using WordNet 2.1 lexical database. The research findings reveal a high impact of the engagement cognitive processing dimension and hedonic experience on customers’ review endeavour. The study results further indicate that customers seem to be more engaged in positively advocating a company/brand than the contrary. The findings will help social network managers to reinforce their platforms.

This study discusses how firm-customer interactions impact customer engagement behaviors in the area of hospitality and tourism services. In the current study, two research questions are raised to answer: 1) what values are perceived by customers through firm-customer interactions during various service encounters? 2) how customer engagement behaviors are led by the customer perceived values? To test the proposed model, a quantitative approach is adopted. Amazon Mechanical Turk is used as data collection platform to collect responses with the aid of Qualtrics as questionnaire development tool. To reach the maximum scope of hospitality and tourism services, hotel guests, restaurant patrons, travelers, airline customers, and theme park travelers are included in the sample. This study adopts a quantitative approach to investigate the factors that contribute to the varied customer engagement behaviors (i.e. online ratings, online reviews, online blogging, and customer-to-customer interactions). Successful industry practices demonstrate that customer engagement brings many benefits and opportunities to maintain business sustainability and profitability.

To investigate the value co-creation process in wellness tourism, this study constructed a structural equation model of customer interactions with (1) the environment, (2) service employees, and (3) other customers relating to customer-perceived value and customer engagement. Empirical data were collected from 528 survey respondents who were at wellness tourism resorts. The results reveal that all three types of interaction have positive effects on customer-perceived value, and that perceived value positively affects customer engagement. Based on this finding, management recommendations for wellness tourism service enterprises are given.

Experiences as the basis for value creation and competitive positioning are increasingly placed at the center of luxury marketing activities to create an emotional customer-brand relationship. Especially in the luxury travel and tourism market, the demand for brand experiences becomes apparent and is reflected in a wide range of services ranging from transport and accommodation to entertainment and relaxation. The cruise ship industry as the fastest growing sector in luxury tourism provides a holistic experiential package designed to meet the travelers’ expectations for pleasure and satisfaction. The aim of this paper is to empirically investigate antecedents of consumer luxury value perception and related consumption behavior with practical implications for the successful management of luxury brands. With special focus on brand experiences in luxury tourism and the cruise industry, the results of our empirical study reveal that luxury consumers have an increasing demand for personal and authentic experiences combined with a rising concern regarding ethical and environmental values. As a consequence, addressing brand experience and sustainability orientation as key elements of customer value perception is a promising way to create successful differentiation strategies in the luxury travel and tourism industry.

The purpose of this study was to categorize and comparatively analyze tourists of different life-style groups who visit Yesan according to their lifestyles as well as their consumption behaviors and attitudes towards local foods or specialty agricultural products in order to understand the various needs, attitudes, and behaviors of consumers in each life-style group. Group 1 had a high percentage of single people in their 20s and those who worked in technology. Group 2 had a high percentage of those in their 30s and 40s who were married and were professionals. Group 3 had a high percentage of men and those in their 40s and 50s, as well as a high percentage of high income, highly educated people. Group 4 had a high percentage of those in their 20s or those in their 60s or higher. Compared to other groups, group 4 had a larger percentage of lower income and less educated people. In verifying the difference between life-style groups in terms of their behaviors and attitudes toward local foods and specialty agricultural products, consumption and experience of regional specialty foods showed high average scores in groups 1, 2, and 3, with significant differences from group 4.

The purpose of this study was to analyze the current operating management practices and tourist royalty of restaurants at the tourism provinces in Donghae city. Forty restaurants were surveyed for sales status, customer management, menu management, advertising, marketing strategy and seventy seven tourists replied to the attitudinal and behavioral aspects of customer royalty for regular visiting restaurant. Statistical data analyses were completed using the SPSS/WIN pact(age program for descriptive analysis, paired difference test, t-test, ANOVA, and pearson correlation. The results of quantitative analysis indicated that the average sales per day on a high-demand season were 1,571 thousand won and one on a slack season were 614 thousand won. The average check on a high-demand season(109 persons) and a slack season(38 persons) were significant difference(t=6.834, p<.001). A total of 93.5% of the restaurateurs answered that menu pricing was decided by the owner and 21.7% of the subjects used the only restaurant homepage in the advertising method. A total of 40.6% of the restaurants utilized the only kind service for regular customers and 35.1% of the subjects had no method for them. The results suggest that systematic management policies and marketing strafes for regular customer is very necessary. Also, the correlation between tourists' attitudinal and behavioral aspects of customer royalty for regular visiting restaurant was found out. High correlation was existed between the overall tourists' satisfaction on regular visiting restaurant, the intention to revisit(BCL 1, p<.001), the intention to recommend(BCL 2, p<.001), and indicators of customer royalty. Finally, restaurateurs at the tourism provinces should focus on marketing strategy to keep and improve current customer to rise the tourist royalty.