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Images and caption descriptions serve as important visual stimuli that influence consumer preferences; therefore, the current study focuses on property images and captions illustrated on the home pages of accommodation-sharing platforms. Specifically, this study investigates the relative importance of hue, brightness and saturation of a property image and caption description styles on potential consumers’ preferences.

A mixed-method approach was used, and a total of 293 valid responses were collected through a discrete choice experiment approach. Interviews were conducted for additional analyses to explore the detailed explanations.

The utility model demonstrated that the image’s saturation was the most critical attribute perceived by the respondents, followed by caption description style, hue and brightness.

This is one of the first studies to investigate the display of attributes on a digital accommodation platform by exploring potential customers’ stated preferences. This study focuses explicitly on images and captions illustrated on the home page of an accommodation booking platform. Detailed image investigation is also a new research area in sharing economy-related research.

This study aimed to identify distinctive characteristics of hotel guests and understand their perception of guestroom technologies (GRTs) in hotels by utilizing the theory of consumer innovativeness and the social influence theory.

The data were collected from 268 hotel guests. The K-means clustering algorithm was employed to identify participants based on their views on the significance of technologies provided in guest rooms. A multivariate analysis of variance was applied to investigate if there were significant differences among clusters regarding social influence on hotel bookings, technology innovativeness and technology expertise and knowledge.

Two clusters were identified: technology compassionates and casual users of technology. Findings revealed that technology compassionates are more influenced by their friends when booking a hotel compared to casual users of technology. The ability to link up multiple wireless mobile devices, accessible outlets and mobile websites were the most critical GRTs for technology compassionates.

Technology should be considered a crucial part of the hotel guest experience. Hoteliers ought to continue investing in smart technologies to improve their guests' experiences. GRTs can reduce overhead staff costs while giving guests more control over their stay by utilizing everyday items like smartphones and offering them more power over their lodging experience.

This study advances the existing literature on GRTs by identifying which GRTs produce the most customer satisfaction. Moreover, this study explores the impact of social influence, innovativeness as a personality trait and having expert knowledge of technologies on preferences for GRTs.

This study aims to identify the causes of the academia-industry divide in hospitality marketing research in the form of the “Research Devaluation Map” and offers ideas for discussion points and suggestions for change.

The conceptualization of the Research Devaluation Map was developed at an invitational thought-leadership conference. The authors were asked to produce a forward looking, critical reflection of hospitality marketing scholarship. The authors generated a preliminary idea and developed a methodology for its implementation. They then proposed a framework that explicated the divide between hospitality marketing research and industry practice and a list of discussion points regarding possible solutions.

The issues currently challenging the hospitality research field are found to include the choice of research topics (the “what”), the methods used in research (the “how”) and the systemic factors that shape the academic culture (the “systemic”). These three factors lead to a mutual devaluation of the academic–industry relationship in hospitality marketing, causing a schism between research and industry practice.

The Research Devaluation Map serves as a springboard for future research studies, providing a framework for naming and operationalizing the antecedents and results of the divide between hospitality marketing research and practice.

This paper takes a holistic look at the gaps in current hospitality marketing research and puts forth a framework to explain the roots of these issues. While certain of these issues are known to both researchers and practitioners, the originality of this paper lies in the creation of the Research Devaluation Map that identifies the causes and results of the disconnect between research and practice.

In an era where complex technological advances increasingly govern service delivery, it is incumbent on service firms to pioneer innovative strategies to sustain customer engagement and cultivate loyalty. This conceptual paper examines the transformative potential of artificial intelligence (AI) in the realm of online customer communities, with a particular focus on its creation, management and enhancement facets. The authors explore how AI can revolutionize the dynamics of customer interaction, feedback mechanisms and overall engagement within the service industry.

This conceptual paper draws from marketing and management literature focusing on customer communities and AI in service and customer engagement contexts with a robust future research agenda.

A classification of online customer community engagement is provided along with a conceptual framework to guide our understanding of the integration of AI into online customer communities.

This exploration underscores the imperative for service firms to embrace AI-driven approaches to online customer community management, not only as a means to optimize their operations but as a vital strategy to stay competitive in the ever-evolving digital landscape. This paper examines the novel combination of AI with online customer communities and provides the framework in the form of an input-process-output (IPO) model for future research into this integration.

The proliferation of the coronavirus disease (COVID-19) has threatened the service industry, especially the restaurant sector, requiring innovative ways to help restaurants overcome this challenge. Thus, based on the stimulus–organism–response (SOR) model, the purpose of this study is to examine the role of customers' perception of a restaurant's innovativeness (CPRI) in brand evangelism by mediating customer engagement (CE). Additionally, this study examines the moderating role of customer openness to experience.

A Web-based survey collected the primary data from 483 Egyptian customers. The data were analysed using the partial least squares structural equation modelling method based on WarpPLS.7 software.

According to the findings, CPRI, which acts as a stimulus in the SOR model, positively affects CE (organism) and brand evangelism (response). CE positively affects restaurant evangelism. Additionally, CE mediates the relationship between CPRI and evangelism. Openness to experience moderates the relationship between CPRI, engagement and brand evangelism.

This study addresses the gaps in understanding CE and brand evangelism within the context of restaurant innovation. This study assesses restaurant innovativeness scales of developing economies in multiple dimensions. Egyptian restaurant marketing managers should innovate products, services, experiences, and promotions to increase consumer engagement and feedback through technology.

This study investigates how Egyptian restaurants engage with and evangelise customers through innovation. This is one of the few studies that examine brand evangelism in a restaurant setting from the perspective of the SOR theory. Additionally, this study analyses CE as a mediator and openness to experience as a moderator.