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The paper aims to identify the emergent themes of hotel guests’ satisfaction, to compare the distribution of the attributes of the themes between Chinese and North American guests and to compare the importance of the themes for different satisfaction levels between Chinese and North American guests from a cross-cultural perspective.

By adopting Python (a computer language), the word-frequency method was used to identify emergent themes of hotel guests’ satisfaction. Topic modeling was adopted to compare the attributes distribution of each theme and the features of satisfaction between Chinese and North American guests.

First, three themes were identified including functionality, staff and price. Functionality can be further categorized into five subthemes, namely, room, travel, food, environment and hotel facility. Second, the distribution of the attributes of the themes between Chinese and North American guests was compared from a cross-cultural perspective. Chinese guests tend to mention both lifestyles- and social norms–related attributes and expect personalized service, while North American guests mainly prefer to describe lifestyle-related attributes and prefer standardized service. Third, the study compared the changing importance of the themes (functionality, staff and price) for different satisfaction levels between Chinese and North American guests. As the satisfaction level decreases, the importance of functionality decreases, that of staff increases and that of price remain stable for Chinese guests. In contrast, the importance of each theme has fluctuated mildly from the high to the low satisfaction level for North American guests.

Proposed managerial implications are to highlight lifestyle- and social norms-related attributes, as well as personalized service for Chinese guests. However, lifestyle-related attributes and standardized service should be facilitated for North American guests. Specific suggestions were made to help improve hotel performance such as the good performance of functional-related attributes, which could enhance satisfaction and better staff performance, which would reduce dissatisfaction.

By mining big data, this study investigated hotel guests’ satisfaction from a dynamic instead of a static perspective. This study provides some rare insights into differences in key attributes influencing satisfaction levels of Chinese versus North American guests staying in luxury hotels in China. This study also takes a novel approach to examine the dynamics of the importance of the various themes at different satisfaction levels, and contrast these dynamics between Chinese and North American guests. The findings offer valuable insight into market segmentation and management in the hospitality industry.

Innovation through tradition (ITT) is an increasingly important area of research particularly in the creative and cultural industries. The purpose of this study is to develop a process framework of ITT for rural heritage bed and breakfast (B&B) sector and investigate the antecedents and challenges of ITT implementation.

Nine heritage B&Bs displaying successful ITT in Songyang county in China were selected as the research site. Multiple cases of B&B were interviewed, and some observations were conducted. This study adopted the process-oriented reflexive critical incident technique to collect qualitative data and analysed it thematically.

Based on the findings, a five-phase innovation framework is proposed to demonstrate how ITT could be achieved in practice. These phases are idea generation, idea evaluation, initial implementation, continuing implementation and sustaining improvement. Three key antecedents (experience corridors, networks and institutional pressures) of ITT implementation were also identified.

This study has showed that rural heritage B&Bs can differentiate themselves from competition by the means of ITT. This study proposes a process framework for this kind of innovation bringing to light the required steps, the antecedents and key activities which the practitioners should pay great attention. This study highlights the needs for continuing and sustaining innovations in the long term.

This study proposes a novel five-phase process framework of ITT to encompass the innovation activities in heritage setting. For practitioners, this study recommends enhancing the sensing capability of local entrepreneurs through personal travel experience and establishing business networks as the key antecedents of a successful ITT under rural heritage setting.

The purpose of this paper is to examine pre-entry resources and capabilities (R&Cs) of de alio and de novo entrants in an emerging industry. Then, the authors investigate how entrants modify their firm boundaries, after entering a new industry, to acquire the R&Cs deemed critical to be competitive and survive in the industry.

The analysis uses the global biofuel industry as a case study. The authors use multiple sets of data, including primary data collected from semi-structured interviews with industry stakeholders and experts across major biofuel-producing countries as well as quantitative data from industry reports.

Firms typically deploy two successive strategies in order to survive and grow. First, they extend vertical boundaries to capitalize on their own pre-entry R&Cs. Then they move quickly to acquire new R&Cs, which are classified as critical in the value chain of the industry. A new taxonomy of pre-entry R&Cs is proposed to distinguish critical and non-critical forms of R&Cs, and to reflect the ease of acquisition of any requisite R&Cs, which are context specific. These strategic moves lead to the bi-directional vertical integration observed in the biofuel industry.

Managers need to be able to assess the opportunities for entry and subsequent strategies to be competitive by assessing their R&Cs in terms of criticality and ease of acquisition in their entry decision making.

A new taxonomy of R&Cs of the firm is proposed which has theoretical significance and practical implications for new entrants.

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.

This study aims to investigate the factors influencing the adoption of data analytics in performance management. By examining the role of organizational and environmental contexts, this study contributes to the existing literature by proposing a novel and detailed technology-organization-environment (TOE) model for the complex interplay between firm characteristics and the adoption of data analytics. The results offer valuable insights and practical implications for organizations seeking to leverage data analytics for effective performance management.

The research draws upon a data set encompassing over 21,869 companies operating across all European Union member states. A multilevel logistic regression model was developed to evaluate the influence of organizational and environmental factors on the likelihood of adopting performance analytics in organizations.

The findings indicate that the lack of awareness of the benefits of data analytics and its practical application to address specific business challenges is a significant barrier to its adoption. Organizational contexts, such as variable-pay systems, employee training, hierarchical structures and frequency of monetary rewards, also influence the adoption of data analytics.

The study informs managers about the strategic role of data analytics capabilities in performance management for improved business intelligence and driving data culture.

The study helps managers understand the strategic role of data analytics capabilities in performance management, leading to improved business intelligence and fostering a data-driven culture in five key areas: structural alignment, strategic decision-making, resource allocation, performance improvement and change management.

The study advances the TOE theory, making it a more detailed and complete framework, particularly applicable to the adoption of performance analytics. It identifies the main factors of adoption that play a crucial role in this process.

Focusing on the supply side of peer-to-peer (P2P) accommodation service sector, this study identifies the emerging types of micro-enterprise operators in the growing Chinese market, and investigate their respective operational risks and coping strategies.

A qualitative study was adopted to explore the micro-enterprise in peer-to-peer accommodation in China. Twenty semi-structured interviews were conducted to explore the operators' behaviors in the service sector.

Based on the types of property ownership and forms of interaction, four groups of operators were identified, i.e. hospitable sharers, remote sharers, roommates and butlers. This study uncovers their operational risk factors (safety, cost, legal and social, psychological) and respective coping strategies.

Most prior studies on P2P accommodation sector are conducted from the demand side about customer behaviors. This study not only enhances the understanding of the hosts in the sharing economy by developing a novel typology of operators, but also provides insights into the operational behaviors on an individual operator perspective.

The tourism sector has realised an increasing need to transition towards sustainability. As the sector comprises a high number of entrepreneurs and small- and medium-sized enterprises, it faces specific limitations, which include, amongst others, knowledge transfer, skills and technology, financial and policy support, customer acceptance, and cultural taboos. To overcome these limitations, the sector thrives on encouraging interaction between ecosystem participants. One of the strategies to encourage interaction between ecosystem participants is the application of coopetition strategies. Coopetition strategies combine the advantages of cooperation and competition to generate value and achieve fruitful collaboration. However, their implementation is still limited. The purpose of this chapter is to examine the potential and practice of coopetition strategies among SMEs in addressing sustainability issues. Therefore, the study explored 10 European reusable cup-sharing schemes based on their level of applying coopetition. In doing that, the study aims to understand the supporting characteristics of existing cup schemes. It seeks to develop a framework for different levels of coopetition in achieving sustainability in the tourism and hospitality sector.

This concluding chapter examines the footprint of coopetition within the tourism domain, drawing upon existing literature to present a comprehensive overview of its evolution to date. To achieve this, the authors conducted a literature review of 94 articles published on coopetition in tourism and hospitality, sourced from esteemed databases such as Scopus and Web of Science. Each article was meticulously categorised based on its thematic focus, geographical scope and the sample of respondents employed to elucidate the dynamics of coopetition. The findings underscore the concerted efforts of researchers to delineate the contours of coopetition within the tourism and hospitality sectors. Through diverse lenses and methodologies, these studies collectively contribute to the burgeoning discourse surrounding coopetition, illuminating its multifaceted implications and applications in different contexts. This chapter presents a systematic analysis that serves as a testament to the growing momentum behind the coopetition paradigm in tourism. It shows how researchers on coopetition are paving the road towards the coopetition paradigm in tourism and hospitality.

Social media influencers (SMIs) have become an important source of influence that affects consumer behaviours in their decision-making processes. As such, this justifies scholarly attention in understanding how SMIs transfer their meanings to endorsed brands and drive consumers’ positive behavioural intentions. With the intention to fill this knowledge gap, this paper aims to examine the impact of SMIs’ credibility, as manifested by trustworthiness, attractiveness and expertise, along with the moderating effects of materialism, on followers’ purchase intention.

Self-administrated online surveys were used to collect data from Instagram users. A total of 191 usable data were collected and analysed using partial least square structural equation modelling.

The results show that SMIs’ trustworthiness and expertise are significant predictors of followers’ purchase intention. Moreover, the moderating effect of materialism on the relationship between attractiveness and purchase intention is significant. Notably, the influence of attractiveness on purchase intention is greater when materialism is high.

This research contributes to the SMI literature by examining the influence of SMIs’ trustworthiness, attractiveness and expertise, along with the moderating effect of materialism, on followers’ purchase intention.